Last data update: Jan 27, 2025. (Total: 48650 publications since 2009)
Records 1-30 (of 275 Records) |
Query Trace: Daniel J[original query] |
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Notes from the field: Severe health outcomes linked to consumption of mushroom-based psychoactive microdosing products - Arizona, June-October 2024
Walker HL , Roland M , Dudley S , Komatsu K , Weiss J , Dillard J , Lin HI , Rust L , Plummer T , Berg R , Everett S , Chang A , Yeh M , Daniel J , Brady S . MMWR Morb Mortal Wkly Rep 2025 74 (1) 14-16 |
Longitudinal changes in hand hygiene adherence among healthcare workers during the COVID-19 pandemic, Dominican Republic
Daniel Schnorr C , Roberts KW , Payano EC , Guzmán PM , de StAubin M , Lozier M , Garnier S , Dumas D , McDavid K , Paulino CJT , Skewes-Ramm R , Craig C , Gutierrez EZ , Duke W , Nilles E . PLOS Water 2024 3 Hand hygiene (HH) can reduce transmission of healthcare-associated infections (HAIs) in healthcare facilities and is especially important in low- and middle-income countries where HH infrastructure may be insufficient and the burden of HAIs is highest. At baseline, we assessed HH infrastructure and practices among healthcare workers (HCWs) at two large hospitals in the Dominican Republic during the COVID-19 pandemic. HCWs were observed for HH adherence (HHA) (defined as the use of alcohol-based hand rub (ABHR) or handwashing with soap and water) before and after patient contact and donning new gloves before patient contact. The baseline assessment was repeated following implementation of local production and distribution of ABHR and a HH promotion campaign. Descriptive analyses and regression models evaluated predictors of HHA and glove use. Cumulative HHA was 18.9%. While patient-care areas with a functional HH resource increased from 47% at baseline to 92% after the intervention, HHA declined from 23.0% to 16.7%. HHA was higher after patient contact (aOR = 5.88; 95% CI = 4.17–8.33), during a period of increased COVID-19 risk (aOR = 1.69; 95% CI = 1.05–2.77), during invasive patient contacts (aOR = 1.64; 95% CI = 1.23–2.17) and when gloves were not used (aOR = 1.25; 95% CI = 1.01–1.56). The negative association between glove use and HHA diminished when access to HH resources increased. New gloves were donned before 39.6% of patient contacts. Glove use was higher among nurses (aOR = 7.12; 95% CI = 3.02–16.79) and during invasive contacts (aOR = 4.76; 95% CI = 2.27–10.0). While access to HH resources increased after the interventions, HHA did not increase. HHA was lower when COVID-19 risk was lower. Findings from this study may guide future efforts to increase HHA among HCWs. Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. |
Assessment of capacity and performance of points of entry in detection of public health events, reporting and responding to public health emergencies, Uganda, July–September 2022
Wanyana Mercy Wendy , King Patrick , Mayinja Harriet , Migisha Richard , Kadobera Daniel , Kwesiga Benon , Bulage Lilian , Ario Alex Riolexus , Harris Julie R . Discov Health Syst 2024 3 (1) 1-11 |
Measles outbreak associated with a migrant shelter - Chicago, Illinois, February-May 2024
Gressick K , Nham A , Filardo TD , Anderson K , Black SR , Boss K , Chavez-Torres M , Daniel-Wayman S , Dejonge P , Faherty E , Funk M , Kerins J , Kim DY , Kittner A , Korban C , Pacilli M , Schultz A , Sloboda A , Zelencik S , Barnes A , Geltz JJ , Morgan J , Quinlan K , Reid H , Chatham-Stephens K , Lanzieri TM , Leung J , Lutz CS , Nyika P , Raines K , Ramachandran S , Rivera MI , Singleton J , Wang D , Rota PA , Sugerman D , Gretsch S , Borah BF . MMWR Morb Mortal Wkly Rep 2024 73 (19) 424-429 Measles, a highly contagious respiratory virus with the potential to cause severe complications, hospitalization, and death, was declared eliminated from the United States in 2000; however, with ongoing global transmission, infections in the United States still occur. On March 7, 2024, the Chicago Department of Public Health (CDPH) confirmed a case of measles in a male aged 1 year residing in a temporary shelter for migrants in Chicago. Given the congregate nature of the setting, high transmissibility of measles, and low measles vaccination coverage among shelter residents, measles virus had the potential to spread rapidly among approximately 2,100 presumed exposed shelter residents. CDPH immediately instituted outbreak investigation and response activities in collaboration with state and local health departments, health care facilities, city agencies, and shelters. On March 8, CDPH implemented active case-finding and coordinated a mass vaccination campaign at the affected shelter (shelter A), including vaccinating 882 residents and verifying previous vaccination for 784 residents over 3 days. These activities resulted in 93% measles vaccination coverage (defined as receipt of ≥1 recorded measles vaccine dose) by March 11. By May 13, a total of 57 confirmed measles cases associated with residing in or having contact with persons from shelter A had been reported. Most cases (41; 72%) were among persons who did not have documentation of measles vaccination and were considered unvaccinated. In addition, 16 cases of measles occurred among persons who had received ≥1 measles vaccine dose ≥21 days before first known exposure. This outbreak underscores the need to ensure high vaccination coverage among communities residing in congregate settings. |
Physical durability and insecticidal activity of long-lasting insecticidal nets in Cruzeiro do Sul, Brazil
Feio-Dos-Santos AC , Reis CC , Sucupira IMC , Lenhart A , Santos MMM , Reis ER , do Carmo EL , Daniel S , Mesones Lapouble OM , de Oliveira AM , Povoa MM . Sci Rep 2024 14 (1) 9044 Vector control is one of the principal strategies used for reducing malaria transmission. Long-lasting insecticidal bed nets (LLINs) are a key tool used to protect populations at risk of malaria, since they provide both physical and chemical barriers to prevent human-vector contact. This study aimed to assess the physical durability and insecticidal efficacy of LLINs distributed in Cruzeiro do Sul (CZS), Brazil, after 4 years of use. A total of 3000 LLINs (PermaNet 2.0) were distributed in high malaria risk areas of CZS in 2007. After 4 years of use, 27 'rectangular' LLINs and 28 'conical' LLINs were randomly selected for analysis. The evaluation of physical integrity was based on counting the number of holes and measuring their size and location on the nets. Insecticidal efficacy was evaluated by cone bioassays, and the amount of residual insecticide remaining on the surface of the LLINs was estimated using a colorimetric method. After 4 years of use, physical damage was highly prevalent on the rectangular LLINs, with a total of 473 holes detected across the 27 nets. The upper portion of the side panels sustained the greatest damage in rectangular LLINs. The overall mosquito mortality by cone bioassay was < 80% in 25/27 rectangular LLINs, with panel A (at the end of the rectangular bednet) presenting the highest mortality (54%). The overall mean insecticide concentration was 0.5 µg/sample, with the bednet roof containing the highest average concentration (0.61 µg/sample). On the conical LLINs, 547 holes were detected, with the bottom areas sustaining the greatest damage. The cone bioassay mortality was < 80% in 26/28 of the conical LLINs. The mean insecticide concentration was 0.3 µg/sample. After 4 years of use, the insecticidal efficacy of the LLINs was diminished to below acceptable thresholds. |
Outbreak linked to morel mushroom exposure - Montana, 2023
Demorest H , Hinnenkamp R , Cook-Shimanek M , Troeschel AN , Yeh M , Hallett TC , Kuai D , Daniel J , Winquist A . MMWR Morb Mortal Wkly Rep 2024 73 (10) 219-224 During March-April 2023, a total of 51 persons reported mild to severe gastrointestinal illness after eating at restaurant A in Bozeman, Montana. The outbreak resulted in multiple severe outcomes, including three hospitalizations and two deaths. After an inspection and temporary restaurant closure, the Montana Department of Public Health and Human Services and Montana's Gallatin City-County Health Department collaborated with CDC to conduct a matched case-control study among restaurant patrons to help identify the source of the outbreak. Consumption of morel mushrooms, which are generally considered edible, was strongly associated with gastrointestinal illness. A dose-response relationship was identified, and consumption of raw morel mushrooms was more strongly associated with illness than was consumption of those that were at least partially cooked. In response to the outbreak, educational public messaging regarding morel mushroom preparation and safety was shared through multiple media sources. The investigation highlights the importance of prompt cross-agency communication and collaboration, the utility of epidemiologic studies in foodborne disease outbreak investigations, and the need for additional research about the impact of morel mushroom consumption on human health. Although the toxins in morel mushrooms that might cause illness are not fully understood, proper preparation procedures, including thorough cooking, might help to limit adverse health effects. |
Critical elements of community engagement to address disparities and related social determinants of health: The CDC Community Approaches to Reducing STDs (CARS) initiative
Rhodes SD , Daniel-Ulloa J , Wright SS , Mann-Jackson L , Johnson DB , Hayes NA , Valentine JA . Sex Transm Dis 2021 48 (1) 49-55 BACKGROUND: Community Approaches to Reducing Sexually Transmitted Disease (CARS), a unique initiative of the US Centers for Disease Control and Prevention, promotes the use of community engagement to increase sexually transmitted disease (STD) prevention, screening, and treatment and to address locally prioritized STD-related social determinants of health within communities experiencing STD disparities, including youth, persons of color, and sexual and gender minorities. We sought to identify elements of community engagement as applied within CARS. METHODS AND MATERIALS: Between 2011 and 2018, we collected and analyzed archival and in-depth interview data to identify and explore community engagement across 8 CARS sites. Five to 13 interview participants (mean, 7) at each site were interviewed annually. Participants included project staff and leadership, community members, and representatives from local community organizations (e.g., health departments; lesbian, gay, bisexual, transgender, and queer-serving organizations; faith organizations; businesses; and HIV-service organizations) and universities. Data were analyzed using constant comparison, an approach to grounded theory development. RESULTS: Twelve critical elements of community engagement emerged, including commitment to engagement, partner flexibility, talented and trusted leadership, participation of diverse sectors, establishment of vision and mission, open communication, reducing power differentials, working through conflict, identifying and leveraging resources, and building a shared history. CONCLUSIONS: This study expands the community engagement literature within STD prevention, screening, and treatment by elucidating some of the critical elements of the approach and provides guidance for practitioners, researchers, and their partners as they develop, implement, and evaluate strategies to reduce STD disparities. |
Clinical and laboratory findings of the first imported case of Middle East respiratory syndrome coronavirus to the United States.
Kapoor M , Pringle K , Kumar A , Dearth S , Liu L , Lovchik J , Perez O , Pontones P , Richards S , Yeadon-Fagbohun J , Breakwell L , Chea N , Cohen NJ , Schneider E , Erdman D , Haynes L , Pallansch M , Tao Y , Tong S , Gerber S , Swerdlow D , Feikin DR . Clin Infect Dis 2014 59 (11) 1511-8 ![]() BACKGROUND: The Middle East respiratory syndrome coronavirus (MERS-CoV) was discovered September 2012 in the Kingdom of Saudi Arabia (KSA). The first US case of MERS-CoV was confirmed on 2 May 2014. METHODS: We summarize the clinical symptoms and signs, laboratory and radiologic findings, and MERS-CoV-specific tests. RESULTS: The patient is a 65-year-old physician who worked in a hospital in KSA where MERS-CoV patients were treated. His illness onset included malaise, myalgias, and low-grade fever. He flew to the United States on day of illness (DOI) 7. His first respiratory symptom, a dry cough, developed on DOI 10. On DOI 11, he presented to an Indiana hospital as dyspneic, hypoxic, and with a right lower lobe infiltrate on chest radiography. On DOI 12, his serum tested positive by real-time reverse transcription polymerase chain reaction (rRT-PCR) for MERS-CoV and showed high MERS-CoV antibody titers, whereas his nasopharyngeal swab was rRT-PCR negative. Expectorated sputum was rRT-PCR positive the following day, with a high viral load (5.31 × 10(6) copies/mL). He was treated with antibiotics, intravenous immunoglobulin, and oxygen by nasal cannula. He was discharged on DOI 22. The genome sequence was similar (>99%) to other known MERS-CoV sequences, clustering with those from KSA from June to July 2013. CONCLUSIONS: This patient had a prolonged nonspecific prodromal illness before developing respiratory symptoms. Both sera and sputum were rRT-PCR positive when nasopharyngeal specimens were negative. US clinicians must be vigilant for MERS-CoV in patients with febrile and/or respiratory illness with recent travel to the Arabian Peninsula, especially among healthcare workers. |
Network analysis of the chronic Hepatitis C virome defines HVR1 evolutionary phenotypes in the context of humoral immune responses.
Palmer BA , Schmidt-Martin D , Dimitrova Z , Skums P , Crosbie O , Kenny-Walsh E , Fanning LJ . J Virol 2015 90 (7) 3318-29 ![]() Hypervariable region 1 (HVR1) of hepatitis C virus (HCV) comprises the first 27 N-terminal amino acid residues of E2. It is classically seen as the most heterogeneous region of the HCV genome. In this study, we assessed HVR1 evolution by using ultradeep pyrosequencing for a cohort of treatment-naive, chronically infected patients over a short, 16-week period. Organization of the sequence set into connected components that represented single nucleotide substitution events revealed a network dominated by highly connected, centrally positioned master sequences. HVR1 phenotypes were observed to be under strong purifying (stationary) and strong positive (antigenic drift) selection pressures, which were coincident with advancing patient age and cirrhosis of the liver. It followed that stationary viromes were dominated by a single HVR1 variant surrounded by minor variants comprised from conservative single amino acid substitution events. We present evidence to suggest that neutralization antibody efficacy was diminished for stationary-virome HVR1 variants. Our results identify the HVR1 network structure during chronic infection as the preferential dominance of a single variant within a narrow sequence space. IMPORTANCE: HCV infection is often asymptomatic, and chronic infection is generally well established in advance of initial diagnosis and subsequent treatment. HVR1 can undergo rapid sequence evolution during acute infection, and the variant pool is typically seen to diverge away from ancestral sequences as infection progresses from the acute to the chronic phase. In this report, we describe HVR1 viromes in chronically infected patients that are defined by a dominant epitope located centrally within a narrow variant pool. Our findings suggest that weakened humoral immune activity, as a consequence of persistent chronic infection, allows for the acquisition and maintenance of host-specific adaptive mutations at HVR1 that reflect virus fitness. |
Rapid outbreak sequencing of Ebola virus in Sierra Leone identifies transmission chains linked to sporadic cases.
Arias A , Watson SJ , Asogun D , Tobin EA , Lu J , Phan MVT , Jah U , Wadoum REG , Meredith L , Thorne L , Caddy S , Tarawalie A , Langat P , Dudas G , Faria NR , Dellicour S , Kamara A , Kargbo B , Kamara BO , Gevao S , Cooper D , Newport M , Horby P , Dunning J , Sahr F , Brooks T , Simpson AJH , Groppelli E , Liu G , Mulakken N , Rhodes K , Akpablie J , Yoti Z , Lamunu M , Vitto E , Otim P , Owilli C , Boateng I , Okoror L , Omomoh E , Oyakhilome J , Omiunu R , Yemisis I , Adomeh D , Ehikhiametalor S , Akhilomen P , Aire C , Kurth A , Cook N , Baumann J , Gabriel M , Wölfel R , Di Caro A , Carroll MW , Günther S , Redd J , Naidoo D , Pybus OG , Rambaut A , Kellam P , Goodfellow I , Cotten M . Virus Evol 2016 2 (1) vew016 ![]() To end the largest known outbreak of Ebola virus disease (EVD) in West Africa and to prevent new transmissions, rapid epidemiological tracing of cases and contacts was required. The ability to quickly identify unknown sources and chains of transmission is key to ending the EVD epidemic and of even greater importance in the context of recent reports of Ebola virus (EBOV) persistence in survivors. Phylogenetic analysis of complete EBOV genomes can provide important information on the source of any new infection. A local deep sequencing facility was established at the Mateneh Ebola Treatment Centre in central Sierra Leone. The facility included all wetlab and computational resources to rapidly process EBOV diagnostic samples into full genome sequences. We produced 554 EBOV genomes from EVD cases across Sierra Leone. These genomes provided a detailed description of EBOV evolution and facilitated phylogenetic tracking of new EVD cases. Importantly, we show that linked genomic and epidemiological data can not only support contact tracing but also identify unconventional transmission chains involving body fluids, including semen. Rapid EBOV genome sequencing, when linked to epidemiological information and a comprehensive database of virus sequences across the outbreak, provided a powerful tool for public health epidemic control efforts. |
Hemi-nested PCR and RFLP methodologies for identifying blood meals of the Chagas disease vector, Triatoma infestans.
Roellig DM , Gomez-Puerta LA , Mead DG , Pinto J , Ancca-Juarez J , Calderon M , Bern C , Gilman RH , Cama VA . PLoS One 2013 8 (9) e74713 ![]() Trypanosoma cruzi, the etiologic agent of Chagas disease, is transmitted by hematophagous reduviid bugs within the subfamily Triatominae. These vectors take blood meals from a wide range of hosts, and their feeding behaviors have been used to investigate the ecology and epidemiology of T. cruzi. In this study we describe two PCR-based methodologies that amplify a fragment of the 16S mitochondrial rDNA, aimed to improve the identification of blood meal sources for Triatoma infestans: a.--Sequence analyses of two heminested PCRs that allow the identification of mammalian and avian species, and b.--restriction fragment length polymorphism (RFLP) analysis from the mammalian PCR to identify and differentiate multi-host blood meals. Findings from both methodologies indicate that host DNA could be detected and the host species identified in samples from laboratory reared and field collected triatomines. The implications of this study are two-fold. First, these methods can be used in areas where the fauna diversity and feeding behavior of the triatomines are unknown. Secondly, the RFLP method led to the identification of multi-host DNA from T. infestans gut contents, enhancing the information provided by this assay. These tools are important contributions for ecological and epidemiological studies of vector-borne diseases. |
Case-cohort study of the association between PFAS and selected cancers among participants in the American Cancer Society's Cancer Prevention Study II LifeLink Cohort
Winquist A , Hodge JM , Diver WR , Rodriguez JL , Troeschel AN , Daniel J , Teras LR . Environ Health Perspect 2023 131 (12) 127007 BACKGROUND: Previous epidemiological studies found associations between exposure to per- and polyfluoroalkyl substances (PFAS) and some cancer types. Many studies considered highly exposed populations, so relevance to less-exposed populations can be uncertain. Additionally, many studies considered only cancer site, not histology. OBJECTIVES: We conducted a case-cohort study within the American Cancer Society's prospective Cancer Prevention Study II (CPS-II) LifeLink cohort to examine associations between PFAS exposure and risk of selected cancers, considering histologic subtypes. METHODS: Serum specimens were collected from cohort participants during the period 1998-2001. This study included a subcohort (500 men, 499 women) randomly selected from participants without prior cancer diagnoses at serum collection, and all participants with incident (after serum collection) first cancers of the breast (females only, n = 786), bladder (n = 401), kidney (n = 158), pancreas (n = 172), prostate (males only, n = 1,610) or hematologic system (n = 635). PFAS concentrations [perfluorooctanoic acid (PFOA), perfluorooctane sulfonate (PFOS), perfluorohexane sulfonic acid (PFHxS), and perfluorononanoic acid (PFNA)] were measured in stored serum. We assessed associations between PFAS concentrations and incident cancers, by site and histologic subtype, using multivariable Cox proportional hazards models stratified by sex and controlling for age and year at blood draw, education, race/ethnicity, smoking, and alcohol use. RESULTS: Serum PFOA concentrations were positively associated with renal cell carcinoma of the kidney among women [hazard ratio (HR) and 95% confidence interval (CI) per PFOA doubling: 1.54 (95% CI: 1.05, 2.26)] but not men. Among men, we observed a positive association between PFHxS concentrations and chronic lymphocytic leukemia/small lymphocytic lymphoma [CLL/SLL, HR and 95% CI per PFHxS doubling: 1.34 (95% CI: 1.02, 1.75)]. We observed some heterogeneity of associations by histologic subtype within sites. DISCUSSION: This study supports the previously observed association between PFOA and renal cell carcinoma among women and suggests an association between PFHxS and CLL/SLL among men. Consideration of histologic subtypes might be important in future studies of PFAS-cancer associations. https://doi.org/10.1289/EHP13174. |
Parents' understanding about children's bullying: Fall ConsumerStyles Survey, United States, 2017, 2018, and 2019
Mercado MC , Daniel L , Allen CT , Mercer Kollar LM , Wang J , Roby SJ . J Interpers Violence 2023 39 8862605231197153 The purpose of this study was to explore U.S. parents' and caregivers' understanding about children's bullying-what bullying is and how to address it. We analyzed 2017, 2018, and 2019 Fall ConsumerStyles online panel survey data from U.S. parents/caregivers of children ages 10 to 17 years (N = 1,516), including 20 items representing statements consistent or inconsistent with the bullying prevention evidence and best practices. Percentage of endorsement for each item and a summary measure of understanding about bullying were calculated. The association between low overall understanding about bullying and sociodemographic characteristics was explored. Most parents identified bullying as harmful (77%), repetitive (63%), and involving power imbalance (51%). At least half of parents answered 13 or more items (20 total) consistent with the bullying prevention evidence or best practices. Being male, non-Hispanic Black or Hispanic, having high school or less education, and small household size were associated with higher odds of low overall understanding about bullying. Awareness of parents' understanding about bullying and how to appropriately address it is vital for bullying prevention. Findings can inform the strategic development of bullying prevention health messages for parents. |
The United States COVID-19 Forecast Hub dataset (preprint)
Cramer EY , Huang Y , Wang Y , Ray EL , Cornell M , Bracher J , Brennen A , Rivadeneira AJC , Gerding A , House K , Jayawardena D , Kanji AH , Khandelwal A , Le K , Mody V , Mody V , Niemi J , Stark A , Shah A , Wattanchit N , Zorn MW , Reich NG , US COVID-19 Forecast Hub Consortium , Lopez VK , Walker JW , Slayton RB , Johansson MA , Biggerstaff M . medRxiv 2021 2021.11.04.21265886 ![]() Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident hospitalizations, incident cases, incident deaths, and cumulative deaths due to COVID-19 at national, state, and county levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages.Competing Interest StatementAV, MC, and APP report grants from Metabiota Inc outside the submitted work. Funding StatementFor teams that reported receiving funding for their work, we report the sources and disclosures below: AIpert-pwllnod: Natural Sciences and Engineering Research Council of Canada; Caltech-CS156: Gary Clinard Innovation Fund; CEID-Walk: University of Georgia; CMU-TimeSeries: CDC Center of Excellence, gifts from Google and Facebook; COVIDhub: This work has been supported by the US Centers for Disease Control and Prevention (1U01IP001122) and the National Institutes of General Medical Sciences (R35GM119582). The content is solely the responsibility of the authors and does not necessarily represent the official views of CDC, NIGMS or the National Institutes of Health; Johannes Bracher was supported by the Helmholtz Foundation via the SIMCARD Information & Data Science Pilot Project; Tilmann Gneiting gratefully acknowledges support by the Klaus Tschira Foundation; CU-select: NSF DMS-2027369 and a gift from the Morris-Singer Foundation; DDS-NBDS: NSF III-1812699; epiforecasts-ensemble1: Wellcome Trust (210758/Z/18/Z) FDANIHASU: supported by the Intramural Research Program of the NIH/NIDDK; GT_CHHS-COVID19: William W. George Endowment, Virginia C. and Joseph C. Mello Endowment, NSF DGE-1650044, NSF MRI 1828187, research cyberinfrastructure resources and services provided by the Partnership for an Advanced Computing Environment (PACE) at Georgia Tech, and the following benefactors at Georgia Tech: Andrea Laliberte, Joseph C. Mello, Richard Rick E. & Charlene Zalesky, and Claudia & Paul Raines, CDC MInD-Healthcare U01CK000531-Supplement; IHME: This work was supported by the Bill & Melinda Gates Foundation, as well as funding from the state of Washington and the National Science Foundation (award no. FAIN: 2031096); Imperial-ensemble1: SB acknowledges funding from the Wellcome Trust (219415); Institute of Business Forecasting: IBF; IowaStateLW-STEM: NSF DMS-1916204, Iowa State University Plant Sciences Institute Scholars Program, NSF DMS-1934884, Laurence H. Baker Center for Bioinformatics and Biological Statistics; IUPUI CIS: NSF; JHU_CSSE-DECOM: JHU CSSE: National Science Foundation (NSF) RAPID Real-time Forecasting of COVID-19 risk in the USA. 2021-2022. Award ID: 2108526. National Science Foundation (NSF) RAPID Development of an interactive web-based dashboard to track COVID-19 in real-time. 2020. Award ID: 2028604; JHU_IDD-CovidSP: State of California, US Dept of Health and Human Services, US Dept of Homeland Security, Johns Hopkins Health System, Office of the Dean at Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University Modeling and Policy Hub, Centers for Disease Control and Prevention (5U01CK000538-03), University of Utah Immunology, Inflammation, & Infectious Disease Initiative (26798 Seed Grant); JHU_UNC_GAS-StatMechP ol: NIH NIGMS: R01GM140564; JHUAPL-Bucky: US Dept of Health and Human Services; KITmetricslab-select_ensemble: Daniel Wolffram gratefully acknowledges support by the Klaus Tschira Foundation; LANL-GrowthRate: LANL LDRD 20200700ER; MIT-Cassandra: MIT Quest for Intelligence; MOBS-GLEAM_COVID: COVID Supplement CDC-HHS-6U01IP001137-01; CA NU38OT000297 from the Council of State and Territorial Epidemiologists (CSTE); NotreDame-FRED: NSF RAPID DEB 2027718; NotreDame-mobility: NSF RAPID DEB 2027718; PSI-DRAFT: NSF RAPID Grant # 2031536; QJHong-Encounter: NSF DMR-2001411 and DMR-1835939; SDSC_ISG-TrendModel: The development of the dashboard was partly funded by the Fondation Privee des Hopitaux Universitaires de Geneve; UA-EpiCovDA: NSF RAPID Grant # 2028401; UChicagoCHATTOPADHYAY-UnIT: Defense Advanced Research Projects Agency (DARPA) #HR00111890043/P00004 (I. Chattopadhyay, University of Chicago); UCSB-ACTS: NSF RAPID IIS 2029626; UCSD_NEU-DeepGLEAM: Google Faculty Award, W31P4Q-21-C-0014; UMass-MechBayes: NIGMS #R35GM119582, NSF #1749854, NIGMS #R35GM119582; UMich-RidgeTfReg: This project is funded by the University of Michigan Physics Department and the University of Michigan Office of Research; UVA-Ensemble: National Institutes of Health (NIH) Grant 1R01GM109718, NSF BIG DATA Grant IIS-1633028, NSF Grant No.: OAC-1916805, NSF Expeditions in Computing Grant CCF-1918656, CCF-1917819, NSF RAPID CNS-2028004, NSF RAPID OAC-2027541, US Centers for Disease Control and Prevention 75D30119C05935, a grant from Google, University of Virginia Strategic Investment Fund award number SIF160, Defense Threat Reduction Agency (DTRA) under Contract No. HDTRA1-19-D-0007, and Virginia Dept of Health Grant VDH-21-501-0141; Wadnwani_AI-BayesOpt: This study is made possible by the generous support of the American People through the United States Agency for International Development (USAID). The work described in this article was implemented under the TRACETB Project, managed by WIAI under the terms of Cooperative Agreement Number 72038620CA00006. The contents of this manuscript are the sole responsibility of the authors and do not necessarily reflect the views of USAID or the United States Government; WalmartLabsML-LogForecasting: Team acknowledges Walmart to support this study Author DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.YesI confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).YesI have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.YesAll data produced are available online at https://github.com/reichlab/covid19-forecast-hub https://github.com/reichlab/covid19-forecast-hub |
Self-Reported Mask Use among Persons with or without SARS CoV-2 Vaccination -United States, December 2020-August 2021 (preprint)
Calamari LE , Weintraub WS , Santos R , Gibbs M , Bertoni AG , Ward LM , Saydah S , Plumb ID , Runyon MS , Wierzba TF , Sanders JW , Herrington D , Espeland MA , Williamson J , Mongraw-Chaffin M , Bertoni A , Alexander-Miller MA , Castri P , Mathews A , Munawar I , Seals AL , Ostasiewski B , Ballard CAP , Gurcan M , Ivanov A , Zapata GM , Westcott M , Blinson K , Blinson L , Mistysyn M , Davis D , Doomy L , Henderson P , Jessup A , Lane K , Levine B , McCanless J , McDaniel S , Melius K , O'Neill C , Pack A , Rathee R , Rushing S , Sheets J , Soots S , Wall M , Wheeler S , White J , Wilkerson L , Wilson R , Wilson K , Burcombe D , Saylor G , Lunn M , Ordonez K , O'Steen A , Wagner L , McCurdy LH , Gibbs MA , Taylor YJ , Calamari L , Tapp H , Ahmed A , Brennan M , Munn L , Dantuluri KL , Hetherington T , Lu LC , Dunn C , Hogg M , Price A , Leonidas M , Manning M , Rossman W , Gohs FX , Harris A , Priem JS , Tochiki P , Wellinsky N , Silva C , Ludden T , Hernandez J , Spencer K , McAlister L , Weintraub W , Miller K , Washington C , Moses A , Dolman S , Zelaya-Portillo J , Erkus J , Blumenthal J , Romero Barrientos RE , Bennett S , Shah S , Mathur S , Boxley C , Kolm P , Franklin E , Ahmed N , Larsen M , Oberhelman R , Keating J , Kissinger P , Schieffelin J , Yukich J , Beron A , Teigen J , Kotloff K , Chen WH , Friedman-Klabanoff D , Berry AA , Powell H , Roane L , Datar R , Correa A , Navalkele B , Min YI , Castillo A , Ward L , Santos RP , Anugu P , Gao Y , Green J , Sandlin R , Moore D , Drake L , Horton D , Johnson KL , Stover M , Lagarde WH , Daniel L , Maguire PD , Hanlon CL , McFayden L , Rigo I , Hines K , Smith L , Harris M , Lissor B , Cook V , Eversole M , Herrin T , Murphy D , Kinney L , Diehl P , Abromitis N , Pierre TSt , Heckman B , Evans D , March J , Whitlock B , Moore W , Arthur S , Conway J , Gallaher TR , Johanson M , Brown S , Dixon T , Reavis M , Henderson S , Zimmer M , Oliver D , Jackson K , Menon M , Bishop B , Roeth R , King-Thiele R , Hamrick TS , Ihmeidan A , Hinkelman A , Okafor C , Bray Brown RB , Brewster A , Bouyi D , Lamont K , Yoshinaga K , Vinod P , Peela AS , Denbel G , Lo J , Mayet-Khan M , Mittal A , Motwani R , Raafat M , Schultz E , Joseph A , Parkeh A , Patel D , Afridi B , Uschner D , Edelstein SL , Santacatterina M , Strylewicz G , Burke B , Gunaratne M , Turney M , Zhou SQ , Tjaden AH , Fette L , Buahin A , Bott M , Graziani S , Soni A , Mores C , Porzucek A , Laborde R , Acharya P , Guill L , Lamphier D , Schaefer A , Satterwhite WM , McKeague A , Ward J , Naranjo DP , Darko N , Castellon K , Brink R , Shehzad H , Kuprianov D , McGlasson D , Hayes D , Edwards S , Daphnis S , Todd B , Goodwin A , Berkelman R , Hanson K , Zeger S , Hopkins J , Reilly C , Edwards K , Gayle H , Redd S . medRxiv 2022 10 Wearing a facemask can help to decrease the transmission of COVID-19. We investigated self-reported mask use among subjects aged 18 years and older participating in the COVID-19 Community Research Partnership (CRP), a prospective longitudinal COVID-19 surveillance study in the mid-Atlantic and southeastern United States. We included those participants who completed >=5 daily surveys each month from December 1, 2020 through August 31, 2021. Mask use was defined as self-reported use of a face mask or face covering on every interaction with others outside the household within a distance of less than 6 feet. Participants were considered vaccinated if they reported receiving >=1 COVID-19 vaccine dose. Participants (n=17,522) were 91% non-Hispanic White, 68% female, median age 57 years, 26% healthcare workers, with 95% self-reported receiving >=1 COVID-19 vaccine dose through August; mean daily survey response was 85%. Mask use was higher among vaccinated than unvaccinated participants across the study period, regardless of the month of the first dose. Mask use remained relatively stable from December 2020 through April (range 71-80% unvaccinated; 86-93% vaccinated) and declined in both groups beginning in mid-May 2021 to 34% and 42% respectively in June 2021; mask use has increased again since July 2021. Mask use by all was lower during weekends and on Christmas and Easter, regardless of vaccination status. Independent predictors of higher mask use were vaccination, age >=65 years, female sex, racial or ethnic minority group, and healthcare worker occupation, whereas a history of self-reported prior COVID-19 illness was associated with lower use. Copyright The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license. |
Surveillance Indicators for Women's Preconception Care
Surveillance and Research Workgroup and Clinical Workgroup of the National Preconception Health and Health Care Initiative , Adamski Alys , Bernstein Peter S , Boulet Sheree L , Chowdhury Farah M , D’Angelo Denise V , Coonrod Dean V , Frayne Daniel J , Kroelinger Charlan , Morgan Isabel A , Okoroh Ekwutosi M , Olson Christine K , Robbins Cheryl L , Verbiest Sarah . J Womens Health (Larchmt) 2020 29 (7) 910-918 Background: Limited surveillance of preconception care (PCC) impedes states' ability to monitor access and provision of quality PCC. In response, we describe PCC indicators and the evaluation process used to identify a set of PCC indicators for state use. Materials and Methods: The Surveillance and Research Workgroup and Clinical Workgroup of the National Preconception Health and Health Care Initiative used a systematic process to identify, evaluate, and prioritize PCC indicators from nationwide public health surveillance systems that Maternal and Child Health (MCH) programs can use for state-level surveillance using the Pregnancy Risk Assessment Monitoring System (PRAMS) and Behavioral Risk Factor Surveillance System (BRFSS). For each indicator, we assessed target population, prevalence, measurement simplicity, data availability, clinical utility, and whether it was related to the 10 prioritized preconception health indicators. We also assessed relevance to clinical recommendations, Healthy People (HP)2020 objectives, and the National Quality Forum measures. Lastly, we considered input from stakeholders and subject matter experts. Results: Eighty potential PCC indicators were initially identified. After conducting evaluations, obtaining stakeholder input, and consulting with subject matter experts, the list was narrowed to 30 PCC indicators for states to consider using in their MCH programs to inform the need for new strategies and monitor programmatic activities. PRAMS is the data source for 27 of the indicators, and BRFSS is the data source for three indicators. Conclusions: The identification and evaluation of population-based PCC indicators that are available at the state level increase opportunities for state MCH programs to document, monitor, and address PCC in their locales. |
Causes of severe pneumonia requiring hospital admission in children without HIV infection from Africa and Asia: the PERCH multi-country case-control study
Pneumonia Etiology Research for Child Health Study Group , O'Brien Katherine L , Levine Orin S , Knoll Maria Deloria , Feikin Daniel R , DeLuca Andrea N , Driscoll Amanda J , Fancourt Nicholas , Fu Wei , Haddix Meredith , Hammitt Laura L , Higdon Melissa M , Kagucia E Wangeci , Karron Ruth A , Li Mengying , Park Daniel E , Prosperi Christine , Shi Qiyuan , Wu Zhenke , Zeger Scott L , Watson Nora L , Crawley Jane , Murdoch David R , Brooks W Abdullah , Endtz Hubert P , Zaman Khalequ , Goswami Doli , Hossain Lokman , Jahan Yasmin , Chisti Mohammod Jobayer , Howie Stephen R C , Ebruke Bernard E , Antonio Martin , McLellan Jessica L , Machuka Eunice M , Shamsul Arifin , Zaman Syed M A , Mackenzie Grant , Scott J Anthony G , Awori Juliet O , Morpeth Susan C , Kamau Alice , Kazungu Sidi , Ominde Micah Silaba , Kotloff Karen L , Tapia Milagritos D , Sow Samba O , Sylla Mamadou , Tamboura Boubou , Onwuchekwa Uma , Kourouma Nana , Toure Aliou , Sissoko Seydou , Madhi Shabir A , Moore David P , Adrian Peter V , Baillie Vicky L , Kuwanda Locadiah , Mudau Azwifarwi , Groome Michelle J , Mahomed Nasreen , Simões Eric A F , Baggett Henry C , Thamthitiwat Somsak , Maloney Susan A , Bunthi Charatdao , Rhodes Julia , Sawatwong Pongpun , Akarasewi Pasakorn , Thea Donald M , Mwananyanda Lawrence , Chipeta James , Seidenberg Phil , Mwansa James , Somwe Somwe Wa , Kwenda Geoffrey , Anderson Trevor P , Mitchell Joanne L . Lancet 2019 394 (10200) 757-779 ![]() BACKGROUND: Pneumonia is the leading cause of death among children younger than 5 years. In this study, we estimated causes of pneumonia in young African and Asian children, using novel analytical methods applied to clinical and microbiological findings. METHODS: We did a multi-site, international case-control study in nine study sites in seven countries: Bangladesh, The Gambia, Kenya, Mali, South Africa, Thailand, and Zambia. All sites enrolled in the study for 24 months. Cases were children aged 1-59 months admitted to hospital with severe pneumonia. Controls were age-group-matched children randomly selected from communities surrounding study sites. Nasopharyngeal and oropharyngeal (NP-OP), urine, blood, induced sputum, lung aspirate, pleural fluid, and gastric aspirates were tested with cultures, multiplex PCR, or both. Primary analyses were restricted to cases without HIV infection and with abnormal chest x-rays and to controls without HIV infection. We applied a Bayesian, partial latent class analysis to estimate probabilities of aetiological agents at the individual and population level, incorporating case and control data. FINDINGS: Between Aug 15, 2011, and Jan 30, 2014, we enrolled 4232 cases and 5119 community controls. The primary analysis group was comprised of 1769 (41·8% of 4232) cases without HIV infection and with positive chest x-rays and 5102 (99·7% of 5119) community controls without HIV infection. Wheezing was present in 555 (31·7%) of 1752 cases (range by site 10·6-97·3%). 30-day case-fatality ratio was 6·4% (114 of 1769 cases). Blood cultures were positive in 56 (3·2%) of 1749 cases, and Streptococcus pneumoniae was the most common bacteria isolated (19 [33·9%] of 56). Almost all cases (98·9%) and controls (98·0%) had at least one pathogen detected by PCR in the NP-OP specimen. The detection of respiratory syncytial virus (RSV), parainfluenza virus, human metapneumovirus, influenza virus, S pneumoniae, Haemophilus influenzae type b (Hib), H influenzae non-type b, and Pneumocystis jirovecii in NP-OP specimens was associated with case status. The aetiology analysis estimated that viruses accounted for 61·4% (95% credible interval [CrI] 57·3-65·6) of causes, whereas bacteria accounted for 27·3% (23·3-31·6) and Mycobacterium tuberculosis for 5·9% (3·9-8·3). Viruses were less common (54·5%, 95% CrI 47·4-61·5 vs 68·0%, 62·7-72·7) and bacteria more common (33·7%, 27·2-40·8 vs 22·8%, 18·3-27·6) in very severe pneumonia cases than in severe cases. RSV had the greatest aetiological fraction (31·1%, 95% CrI 28·4-34·2) of all pathogens. Human rhinovirus, human metapneumovirus A or B, human parainfluenza virus, S pneumoniae, M tuberculosis, and H influenzae each accounted for 5% or more of the aetiological distribution. We observed differences in aetiological fraction by age for Bordetella pertussis, parainfluenza types 1 and 3, parechovirus-enterovirus, P jirovecii, RSV, rhinovirus, Staphylococcus aureus, and S pneumoniae, and differences by severity for RSV, S aureus, S pneumoniae, and parainfluenza type 3. The leading ten pathogens of each site accounted for 79% or more of the site's aetiological fraction. INTERPRETATION: In our study, a small set of pathogens accounted for most cases of pneumonia requiring hospital admission. Preventing and treating a subset of pathogens could substantially affect childhood pneumonia outcomes. FUNDING: Bill & Melinda Gates Foundation. |
Initial public health response and interim clinical guidance for the 2019 novel coronavirus outbreak - United States, December 31, 2019-February 4, 2020.
Patel A , Jernigan DB , 2019-nCOV CDC Response Team , Abdirizak Fatuma , Abedi Glen , Aggarwal Sharad , Albina Denise , Allen Elizabeth , Andersen Lauren , Anderson Jade , Anderson Megan , Anderson Tara , Anderson Kayla , Bardossy Ana Cecilia , Barry Vaughn , Beer Karlyn , Bell Michael , Berger Sherri , Bertulfo Joseph , Biggs Holly , Bornemann Jennifer , Bornstein Josh , Bower Willie , Bresee Joseph , Brown Clive , Budd Alicia , Buigut Jennifer , Burke Stephen , Burke Rachel , Burns Erin , Butler Jay , Cantrell Russell , Cardemil Cristina , Cates Jordan , Cetron Marty , Chatham-Stephens Kevin , Chatham-Stevens Kevin , Chea Nora , Christensen Bryan , Chu Victoria , Clarke Kevin , Cleveland Angela , Cohen Nicole , Cohen Max , Cohn Amanda , Collins Jennifer , Conners Erin , Curns Aaron , Dahl Rebecca , Daley Walter , Dasari Vishal , Davlantes Elizabeth , Dawson Patrick , Delaney Lisa , Donahue Matthew , Dowell Chad , Dyal Jonathan , Edens William , Eidex Rachel , Epstein Lauren , Evans Mary , Fagan Ryan , Farris Kevin , Feldstein Leora , Fox LeAnne , Frank Mark , Freeman Brandi , Fry Alicia , Fuller James , Galang Romeo , Gerber Sue , Gokhale Runa , Goldstein Sue , Gorman Sue , Gregg William , Greim William , Grube Steven , Hall Aron , Haynes Amber , Hill Sherrasa , Hornsby-Myers Jennifer , Hunter Jennifer , Ionta Christopher , Isenhour Cheryl , Jacobs Max , Jacobs Slifka Kara , Jernigan Daniel , Jhung Michael , Jones-Wormley Jamie , Kambhampati Anita , Kamili Shifaq , Kennedy Pamela , Kent Charlotte , Killerby Marie , Kim Lindsay , Kirking Hannah , Koonin Lisa , Koppaka Ram , Kosmos Christine , Kuhar David , Kuhnert-Tallman Wendi , Kujawski Stephanie , Kumar Archana , Landon Alexander , Lee Leslie , Leung Jessica , Lindstrom Stephen , Link-Gelles Ruth , Lively Joana , Lu Xiaoyan , Lynch Brian , Malapati Lakshmi , Mandel Samantha , Manns Brian , Marano Nina , Marlow Mariel , Marston Barbara , McClung Nancy , McClure Liz , McDonald Emily , McGovern Oliva , Messonnier Nancy , Midgley Claire , Moulia Danielle , Murray Janna , Noelte Kate , Noonan-Smith Michelle , Nordlund Kristen , Norton Emily , Oliver Sara , Pallansch Mark , Parashar Umesh , Patel Anita , Patel Manisha , Pettrone Kristen , Pierce Taran , Pietz Harald , Pillai Satish , Radonovich Lewis , Reagan-Steiner Sarah , Reel Amy , Reese Heather , Rha Brian , Ricks Philip , Rolfes Melissa , Roohi Shahrokh , Roper Lauren , Rotz Lisa , Routh Janell , Sakthivel Senthil Kumar Sarmiento Luisa , Schindelar Jessica , Schneider Eileen , Schuchat Anne , Scott Sarah , Shetty Varun , Shockey Caitlin , Shugart Jill , Stenger Mark , Stuckey Matthew , Sunshine Brittany , Sykes Tamara , Trapp Jonathan , Uyeki Timothy , Vahey Grace , Valderrama Amy , Villanueva Julie , Walker Tunicia , Wallace Megan , Wang Lijuan , Watson John , Weber Angie , Weinbaum Cindy , Weldon William , Westnedge Caroline , Whitaker Brett , Whitaker Michael , Williams Alcia , Williams Holly , Willams Ian , Wong Karen , Xie Amy , Yousef Anna . Am J Transplant 2020 20 (3) 889-895 This article summarizes what is currently known about the 2019 novel coronavirus and offers interim guidance. |
Mosquito microevolution drives Plasmodium falciparum dynamics.
Gildenhard M , Rono EK , Diarra A , Boissière A , Bascunan P , Carrillo-Bustamante P , Camara D , Krüger H , Mariko M , Mariko R , Mireji P , Nsango SE , Pompon J , Reis Y , Rono MK , Seda PB , Thailayil J , Traorè A , Yapto CV , Awono-Ambene P , Dabiré RK , Diabaté A , Masiga D , Catteruccia F , Morlais I , Diallo M , Sangare D , Levashina EA . Nat Microbiol 2019 4 (6) 941-947 ![]() ![]() Malaria, a major cause of child mortality in Africa, is engendered by Plasmodium parasites that are transmitted by anopheline mosquitoes. Fitness of Plasmodium parasites is closely linked to the ecology and evolution of its anopheline vector. However, whether the genetic structure of vector populations impacts malaria transmission remains unknown. Here, we describe a partitioning of the African malaria vectors into generalists and specialists that evolve along ecological boundaries. We next identify the contribution of mosquito species to Plasmodium abundance using Granger causality tests for time-series data collected over two rainy seasons in Mali. We find that mosquito microevolution, defined by changes in the genetic structure of a population over short ecological timescales, drives Plasmodium dynamics in nature, whereas vector abundance, infection prevalence, temperature and rain have low predictive values. Our study demonstrates the power of time-series approaches in vector biology and highlights the importance of focusing local vector control strategies on mosquito species that drive malaria dynamics. |
Ebola Virus Disease Outbreak - Democratic Republic of the Congo, August 2018-November 2019.
Aruna A , Mbala P , Minikulu L , Mukadi D , Bulemfu D , Edidi F , Bulabula J , Tshapenda G , Nsio J , Kitenge R , Mbuyi G , Mwanzembe C , Kombe J , Lubula L , Shako JC , Mossoko M , Mulangu F , Mutombo A , Sana E , Tutu Y , Kabange L , Makengo J , Tshibinkufua F , Ahuka-Mundeke S , Muyembe JJ , Ebola Response CDC , Alarcon Walter , Bonwitt Jesse , Bugli Dante , Bustamante Nirma D , Choi Mary , Dahl Benjamin A , DeCock Kevin , Dismer Amber , Doshi Reena , Dubray Christine , Fitter David , Ghiselli Margherita , Hall Noemi , Hamida Amen Ben , McCollum Andrea M , Neatherlin John , Raghunathan Pratima L , Ravat Fatima , Reynolds Mary G , Rico Adriana , Smith Nailah , Soke Gnakub Norbert , Trudeau Aimee T , Victory Kerton R , Worrell Mary Claire . MMWR Morb Mortal Wkly Rep 2019 68 (50) 1162-1165 ![]() ![]() On August 1, 2018, the Democratic Republic of the Congo Ministry of Health (DRC MoH) declared the tenth outbreak of Ebola virus disease (Ebola) in DRC, in the North Kivu province in eastern DRC on the border with Uganda, 8 days after another Ebola outbreak was declared over in northwest Équateur province. During mid- to late-July 2018, a cluster of 26 cases of acute hemorrhagic fever, including 20 deaths, was reported in North Kivu province.* Blood specimens from six patients hospitalized in the Mabalako health zone and sent to the Institut National de Recherche Biomédicale (National Biomedical Research Institute) in Kinshasa tested positive for Ebola virus. Genetic sequencing confirmed that the outbreaks in North Kivu and Équateur provinces were unrelated. From North Kivu province, the outbreak spread north to Ituri province, and south to South Kivu province (1). On July 17, 2019, the World Health Organization designated the North Kivu and Ituri outbreak a public health emergency of international concern, based on the geographic spread of the disease to Goma, the capital of North Kivu province, and to Uganda and the challenges to implementing prevention and control measures specific to this region (2). This report describes the outbreak in the North Kivu and Ituri provinces. As of November 17, 2019, a total of 3,296 Ebola cases and 2,196 (67%) deaths were reported, making this the second largest documented outbreak after the 2014-2016 epidemic in West Africa, which resulted in 28,600 cases and 11,325 deaths.(†) Since August 2018, DRC MoH has been collaborating with partners, including the World Health Organization, the United Nations Children's Fund, the United Nations Office for the Coordination of Humanitarian Affairs, the International Organization of Migration, The Alliance for International Medical Action (ALIMA), Médecins Sans Frontières, DRC Red Cross National Society, and CDC, to control the outbreak. Enhanced communication and effective community engagement, timing of interventions during periods of relative stability, and intensive training of local residents to manage response activities with periodic supervision by national and international personnel are needed to end the outbreak. |
Prediction of Susceptibility to First-Line Tuberculosis Drugs by DNA Sequencing.
Allix-Béguec C , Arandjelovic I , Bi L , Beckert P , Bonnet M , Bradley P , Cabibbe AM , Cancino-Muñoz I , Caulfield MJ , Chaiprasert A , Cirillo DM , Clifton DA , Comas I , Crook DW , De Filippo MR , de Neeling H , Diel R , Drobniewski FA , Faksri K , Farhat MR , Fleming J , Fowler P , Fowler TA , Gao Q , Gardy J , Gascoyne-Binzi D , Gibertoni-Cruz AL , Gil-Brusola A , Golubchik T , Gonzalo X , Grandjean L , He G , Guthrie JL , Hoosdally S , Hunt M , Iqbal Z , Ismail N , Johnston J , Khanzada FM , Khor CC , Kohl TA , Kong C , Lipworth S , Liu Q , Maphalala G , Martinez E , Mathys V , Merker M , Miotto P , Mistry N , Moore DAJ , Murray M , Niemann S , Omar SV , Ong RT , Peto TEA , Posey JE , Prammananan T , Pym A , Rodrigues C , Rodrigues M , Rodwell T , Rossolini GM , Sánchez Padilla E , Schito M , Shen X , Shendure J , Sintchenko V , Sloutsky A , Smith EG , Snyder M , Soetaert K , Starks AM , Supply P , Suriyapol P , Tahseen S , Tang P , Teo YY , Thuong TNT , Thwaites G , Tortoli E , van Soolingen D , Walker AS , Walker TM , Wilcox M , Wilson DJ , Wyllie D , Yang Y , Zhang H , Zhao Y , Zhu B . N Engl J Med 2018 379 (15) 1403-1415 ![]() BACKGROUND: The World Health Organization recommends drug-susceptibility testing of Mycobacterium tuberculosis complex for all patients with tuberculosis to guide treatment decisions and improve outcomes. Whether DNA sequencing can be used to accurately predict profiles of susceptibility to first-line antituberculosis drugs has not been clear. METHODS: We obtained whole-genome sequences and associated phenotypes of resistance or susceptibility to the first-line antituberculosis drugs isoniazid, rifampin, ethambutol, and pyrazinamide for isolates from 16 countries across six continents. For each isolate, mutations associated with drug resistance and drug susceptibility were identified across nine genes, and individual phenotypes were predicted unless mutations of unknown association were also present. To identify how whole-genome sequencing might direct first-line drug therapy, complete susceptibility profiles were predicted. These profiles were predicted to be susceptible to all four drugs (i.e., pansusceptible) if they were predicted to be susceptible to isoniazid and to the other drugs or if they contained mutations of unknown association in genes that affect susceptibility to the other drugs. We simulated the way in which the negative predictive value changed with the prevalence of drug resistance. RESULTS: A total of 10,209 isolates were analyzed. The largest proportion of phenotypes was predicted for rifampin (9660 [95.4%] of 10,130) and the smallest was predicted for ethambutol (8794 [89.8%] of 9794). Resistance to isoniazid, rifampin, ethambutol, and pyrazinamide was correctly predicted with 97.1%, 97.5%, 94.6%, and 91.3% sensitivity, respectively, and susceptibility to these drugs was correctly predicted with 99.0%, 98.8%, 93.6%, and 96.8% specificity. Of the 7516 isolates with complete phenotypic drug-susceptibility profiles, 5865 (78.0%) had complete genotypic predictions, among which 5250 profiles (89.5%) were correctly predicted. Among the 4037 phenotypic profiles that were predicted to be pansusceptible, 3952 (97.9%) were correctly predicted. CONCLUSIONS: Genotypic predictions of the susceptibility of M. tuberculosis to first-line drugs were found to be correlated with phenotypic susceptibility to these drugs. (Funded by the Bill and Melinda Gates Foundation and others.). |
New Lineage of Lassa Virus, Togo, 2016.
Whitmer SLM , Strecker T , Cadar D , Dienes HP , Faber K , Patel K , Brown SM , Davis WG , Klena JD , Rollin PE , Schmidt-Chanasit J , Fichet-Calvet E , Noack B , Emmerich P , Rieger T , Wolff S , Fehling SK , Eickmann M , Mengel JP , Schultze T , Hain T , Ampofo W , Bonney K , Aryeequaye JND , Ribner B , Varkey JB , Mehta AK , Lyon GM 3rd , Kann G , De Leuw P , Schuettfort G , Stephan C , Wieland U , Fries JWU , Kochanek M , Kraft CS , Wolf T , Nichol ST , Becker S , Ströher U , Günther S . Emerg Infect Dis 2018 24 (3) 599-602 ![]() ![]() We describe a strain of Lassa virus representing a putative new lineage that was isolated from a cluster of human infections with an epidemiologic link to Togo. This finding extends the known range of Lassa virus to Togo. |
Adapterama II: universal amplicon sequencing on Illumina platforms (TaggiMatrix).
Glenn TC , Pierson TW , Bayona-Vásquez NJ , Kieran TJ , Hoffberg SL , Thomas Iv JC , Lefever DE , Finger JW , Gao B , Bian X , Louha S , Kolli RT , Bentley KE , Rushmore J , Wong K , Shaw TI , Rothrock MJ Jr , McKee AM , Guo TL , Mauricio R , Molina M , Cummings BS , Lash LH , Lu K , Gilbert GS , Hubbell SP , Faircloth BC . PeerJ 2019 7 e7786 ![]() ![]() Next-generation sequencing (NGS) of amplicons is used in a wide variety of contexts. In many cases, NGS amplicon sequencing remains overly expensive and inflexible, with library preparation strategies relying upon the fusion of locus-specific primers to full-length adapter sequences with a single identifying sequence or ligating adapters onto PCR products. In Adapterama I, we presented universal stubs and primers to produce thousands of unique index combinations and a modifiable system for incorporating them into Illumina libraries. Here, we describe multiple ways to use the Adapterama system and other approaches for amplicon sequencing on Illumina instruments. In the variant we use most frequently for large-scale projects, we fuse partial adapter sequences (TruSeq or Nextera) onto the 5' end of locus-specific PCR primers with variable-length tag sequences between the adapter and locus-specific sequences. These fusion primers can be used combinatorially to amplify samples within a 96-well plate (8 forward primers + 12 reverse primers yield 8 × 12 = 96 combinations), and the resulting amplicons can be pooled. The initial PCR products then serve as template for a second round of PCR with dual-indexed iTru or iNext primers (also used combinatorially) to make full-length libraries. The resulting quadruple-indexed amplicons have diversity at most base positions and can be pooled with any standard Illumina library for sequencing. The number of sequencing reads from the amplicon pools can be adjusted, facilitating deep sequencing when required or reducing sequencing costs per sample to an economically trivial amount when deep coverage is not needed. We demonstrate the utility and versatility of our approaches with results from six projects using different implementations of our protocols. Thus, we show that these methods facilitate amplicon library construction for Illumina instruments at reduced cost with increased flexibility. A simple web page to design fusion primers compatible with iTru primers is available at: http://baddna.uga.edu/tools-taggi.html. A fast and easy to use program to demultiplex amplicon pools with internal indexes is available at: https://github.com/lefeverde/Mr_Demuxy. |
Characterizing household emergency preparedness levels for natural disasters during the COVID-19 pandemic: United States, 2020-2021
Schnall AH , Kieszak S , Heiman HJ , Bayleyegn T , Daniel J , Hanchey A , Stauber C . J Emerg Manag 2023 21 (7) 51-69 Introduction: It is vital that households are prepared for a natural disaster to help mitigate potential negative impacts. Our goal was to characterize United States household preparedness on a national level to guide next steps to better prepare for and respond to disasters during the COVID-19 pandemic. Methods: We added 10 questions to the existing Porter Novelli's ConsumerStyles surveys in fall 2020 (N = 4,548) and spring 2021 (N = 6,455) to examine factors that contribute to overall household preparedness levels. Results: Being married (odds ratio (OR), 1.2), having children in the home (OR, 1.5), and having a household income of $150,000 or more (OR, 1.2) are all associated with increased preparedness levels. Those in the Northeast are least likely to be prepared (OR, 0.8). Persons living in mobile homes, Recreational Vehicles, boats, or vans are half as likely to have preparedness plans compared to those living in single family homes (OR, 0.6). Conclusions: As a nation, there is much work to be done in terms of preparedness to reach performance measure targets of 80 percent. These data can help inform response planning and the updating of communication resources such as websites, fact sheets, and other materials to reach a wide audience of disaster epidemiologists, emergency managers, and the public. © 2023 Weston Medical Publishing. All rights reserved. |
A qualitative evaluation and conceptual framework on the use of the Birth weight and Age-at-death Boxes for Intervention and Evaluation System (BABIES) matrix for perinatal health in Uganda
Dynes MM , Daniel GA , Mac V , Picho B , Asiimwe A , Nalutaaya A , Opio G , Kamara V , Kaharuza F , Serbanescu F . BMC Pregnancy Childbirth 2023 23 (1) 86 BACKGROUND: Perinatal mortality (newborn deaths in the first week of life and stillbirths) continues to be a significant global health threat, particularly in resource-constrained settings. Low-tech, innovative solutions that close the quality-of-care gap may contribute to progress toward the Sustainable Development Goals for health by 2030. From 2012 to 2018, the Saving Mothers, Giving Life Initiative (SMGL) implemented the Birth weight and Age-at-Death Boxes for Intervention and Evaluation System (BABIES) matrix in Western Uganda. The BABIES matrix provides a simple, standardized way to track perinatal health outcomes to inform evidence-based quality improvement strategies. METHODS: In November 2017, a facility-based qualitative evaluation was conducted using in-depth interviews with 29 health workers in 16 health facilities implementing BABIES in Uganda. Data were analyzed using directed content analysis across five domains: 1) perceived ease of use, 2) how the matrix was used, 3) changes in behavior or standard operating procedures after introduction, 4) perceived value of the matrix, and 5) program sustainability. RESULTS: Values in the matrix were easy to calculate, but training was required to ensure correct data placement and interpretation. Displaying the matrix on a highly visible board in the maternity ward fostered a sense of accountability for health outcomes. BABIES matrix reports were compiled, reviewed, and responded to monthly by interprofessional teams, prompting collaboration across units to fill data gaps and support perinatal death reviews. Respondents reported improved staff communication and performance appraisal, community engagement, and ability to track and link clinical outcomes with actions. Midwives felt empowered to participate in the problem-solving process. Respondents were motivated to continue using BABIES, although sustainability concerns were raised due to funding and staff shortages. CONCLUSIONS: District-level health systems can use data compiled from the BABIES matrix to inform policy and guide implementation of community-centered health practices to improve perinatal heath. Future work may consider using the Conceptual Framework on Use of the BABIES Matrix for Perinatal Health as a model to operationalize concepts and test the impact of the tool over time. |
Characterizing emergency supply kit possession in the United States during the COVID-19 pandemic - 2020-2021.
Schnall AH , Kieszak S , Hanchey A , Heiman H , Bayleyegn T , Daniel J , Stauber C . Disaster Med Public Health Prep 2022 17 1-29 BACKGROUND: In the immediate aftermath of a disaster, household members may experience lack of support services and isolation from one another. To address this, a common recommendation is to promote preparedness through the preparation of an emergency supply kit (ESK). The goal was to characterize ESK possession on a national level to help the Centers for Disease Control and Prevention (CDC) guide next steps to better prepare for and respond to disasters and emergencies at the community level. METHODS: The authors analyzed data collected through Porter Novelli's ConsumerStyles surveys in Fall 2020 (n=3,625) and Spring 2021 (n=6,455). RESULTS: ESK ownership is lacking. Overall, while most respondents believed that an ESK would help their chance of survival, only a third have one. Age, gender, education level, and region of the country were significant predictors of kit ownership in a multivariate model. In addition, there was a significant association between level of preparedness and ESK ownership. CONCLUSIONS: These data are an essential starting point in characterizing ESK ownership and can be used to help tailor public messaging, inform work with partners to increase ESK ownership, and guide future research. |
Physical activity level of the military age- and BMI-eligible population of the United States, 2015-2020
Webber Bryant J , Omura John D , Bornstein Daniel B , Deuster Patricia A , O'Connor Francis G , Park Sohyun , Whitfield Geoffrey P . Med Sci Sports Exerc 2022 54 54-55 PURPOSE: Inadequate pre-enlistment physical activity is a risk factor for musculoskeletal injury during and discharge from basic military training. We estimated the prevalence of physical activity (PA) participation among the US population eligible to enter the armed forces based on age and body mass index (BMI) overall and by selected characteristics. | | METHODS: Data on non-pregnant, age-eligible respondents (aged 17-42 years) were analyzed from the January 2015 - March 2020 National Health and Nutrition Examination Survey (unweighted n = 5964). In accordance with Department of Defense policy, BMI eligibility was defined as 19.0-27.5 kg/m2; BMI was calculated from measured weight and height. Based on guidance from the US Army Pre-Basic Combat Training Physical Training Program and the Physical Activity Guidelines for Americans, 2nd edition, we characterized inadequate PA participation as < 300 minutes/week of equivalent moderate-intensity PA from all domains. We calculated PA overall and compared PA by gender, age, race/ethnicity, education, and family income using the Satterthwaite adjusted F-test. | | RESULTS: Of the age-eligible population, 47.3% were BMI eligible. Among those eligible by age and BMI, 27.5% had an inadequate PA level. Prevalence of inadequate PA was lower among males than females (P = .001) and non-Hispanic white persons versus other racial/ethnic groups (P < .001); no significant differences were evident by age, education, or family income. Among those with BMI < 19.0 kg/m2 and > 27.5 kg/m2, respective prevalence of inadequate PA was 36.3% and 36.5%. | | CONCLUSIONS: Less than half of the military age-eligible US population has an eligible BMI for entering the US armed forces. Over a quarter of these report PA that may be inadequate for basic military training. Promotion of healthy weight status and participation in PA in young adults could help improve readiness to enter the armed forces. |
Interim Recommendation of the Advisory Committee on Immunization Practices for Use of the Novavax COVID-19 Vaccine in Persons Aged ≥18 years - United States, July 2022.
Twentyman E , Wallace M , Roper LE , Anderson TC , Rubis AB , Fleming-Dutra KE , Hall E , Hsu J , Rosenblum HG , Godfrey M , Archer WR , Moulia DL , Daniel L , Brooks O , Talbot HK , Lee GM , Bell BP , Daley M , Meyer S , Oliver SE . MMWR Morb Mortal Wkly Rep 2022 71 (31) 988-992 The NVX-CoV2373 (Novavax) COVID-19 vaccine is a recombinant spike (rS) protein nanoparticle vaccine with Matrix-M adjuvant to protect against infection with SARS-CoV-2, the virus that causes COVID-19. On July 13, 2022, the Food and Drug Administration (FDA) issued Emergency Use Authorization (EUA) for the Novavax vaccine for primary COVID-19 immunization of unvaccinated adults aged ≥18 years, administered as 2 doses (5 μg rS and 50 μg Matrix-M adjuvant in each dose) 3 weeks apart (1). On July 19, 2022, the Advisory Committee on Immunization Practices (ACIP) issued an interim recommendation for use of the Novavax vaccine in persons aged ≥18 years for the prevention of COVID-19.* In the per-protocol(†) efficacy analysis, vaccine efficacy (VE) against reverse transcription-polymerase chain reaction (RT-PCR)-confirmed symptomatic COVID-19 was 89.6% (95% CI = 82.4%-93.8%). The Alpha variant (B.1.1.7) of SARS-CoV-2 was the predominant circulating variant during the period of case accrual for VE assessments. Cases of myocarditis or pericarditis were reported in temporal association with vaccination, suggesting a possible causal relationship. The ACIP recommendation for the use of the Novavax COVID-19 vaccine is interim and will be updated as additional information becomes available. The adjuvanted, protein subunit-based Novavax COVID-19 vaccine provides an additional option for unvaccinated adults, increasing flexibility for the public and for vaccine providers. Vaccination is important for protection against COVID-19. |
Malaria outbreak in Mbale: its the pits! a case study
Kadobera D , Bahizi G , Bulage L , Kwesiga B , Kabwama SN , Ario AR , Harris JR . Pan Afr Med J 2022 41 3 Malaria is a leading cause of morbidity and mortality in Uganda. In June 2019, the Uganda Ministry of Health through routine surveillance data analysis was notified of an increase in malaria cases in Bumbobi and Nyondo Sub-counties, Mbale District, which exceeded the action thresholds. We investigated to assess outbreak magnitude, identify transmission risk factors, and recommend evidence-based control measures. We defined a confirmed case as a positive malaria result using malaria Rapid Diagnostic Test or microscopy from 1 Jan 2019 to 30 Jun 2019 in a resident or visitor of Bumbobi or Nyondo Sub-county, Mbale District. We reviewed medical records to develop a line list for descriptive epidemiology. In a case-control study, we compared exposures between 150 case-persons and 150 age-and village-matched asymptomatic controls. We conducted environmental and entomological assessments on vector dynamics and behavior. We identified 7,891 case-persons (attack rate [AR]=26%). Females (AR=36%) were more affected than males (AR=25%). The 5-18 year age group (AR=26%) was most affected. The epidemic curve showed steady increase in malaria cases from March following intermittent rainfall from January, with short spells of no rainfall up to June. In the matched pair case-control analysis, 95% (143/150) of case-patients and 49% (73/150) of controls had soil erosion control pits near their homes that held stagnant water for several days following rainfall (AOR=18, 95%CI=7-50); Active breeding sites were found near and within homesteads with Anopheles gambiaeas the predominant vector. Increased vector breeding sites due to erosion control pits sustained by the intermittent rainfall caused this outbreak. We recommended draining of pits immediately after the rains and increasing coverage for bed-nets. © Daniel Kadobera et al. |
Magnitude and determinants of SARS-CoV-2 household transmission: a longitudinal cohort study.
Daniel Kelly J , Lu S , Anglin K , Garcia-Knight M , Pineda-Ramirez J , Goldberg SA , Tassetto M , Zhang A , Donohue K , Davidson MC , Romero M , Sanchez RD , Djomaleu M , Mathur S , Chen JY , Forman CA , Servellita V , Montejano RD , Shak JR , Rutherford GW , Deeks SG , Abedi GR , Rolfes MA , Saydah S , Briggs-Hagen M , Peluso MJ , Chiu C , Midgley CM , Andino R , Martin JN . Clin Infect Dis 2022 75 S193-S204 BACKGROUND: Households have emerged as important venues for SARS-CoV-2 transmission. Little is known, however, regarding the magnitude and determinants of household transmission in increasingly vaccinated populations. METHODS: From September 2020 to January 2022, symptomatic non-hospitalized individuals with SARS-CoV-2 infection by RNA detection were identified within 5 days of symptom onset; all individuals resided with at least one other SARS-CoV-2-uninfected household member. These infected persons (cases) and their household members (contacts) were subsequently followed with questionnaire-based measurement and serial nasal specimen collection. The primary outcome was SARS-CoV-2 infection among contacts. RESULTS: We evaluated 42 cases and their 74 household contacts. Among the contacts, 32 (43%) became infected, of whom 5/32 (16%) were asymptomatic; 81% of transmissions occurred by 5 days after the case's symptom onset. From 21 unvaccinated cases, 14-day cumulative incidence of SARS-CoV-2 infection among contacts was 18/40 (45%; 95% CI: 29, 62), most of whom were unvaccinated. From 21 vaccinated cases, 14-day cumulative incidence of SARS-CoV-2 infection was 14/34 (41%; 95% CI: 25, 59) among all contacts and 12/29 (41%; 95% CI: 24, 61) among vaccinated contacts. At least one co-morbid condition among cases and 10 or more days of RNA detection in cases were associated with increased risk of infection among contacts. CONCLUSIONS: Among households including individuals with symptomatic SARS-CoV-2 infection, both vaccinated-to-vaccinated and unvaccinated-to-unvaccinated transmission of SARS-CoV-2 to household contacts was common. Because vaccination alone did not notably reduce risk of infection, household contacts will need to employ additional interventions to avoid infection. |
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