Last data update: Apr 29, 2024. (Total: 46658 publications since 2009)
Records 1-30 (of 32 Records) |
Query Trace: Clarke KEN[original query] |
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Association between social vulnerability and SARS-CoV-2 seroprevalence in specimens collected from commercial laboratories, United States, September 2021-February 2022
Benoit TJ , Kim Y , Deng Y , Li Z , Harding L , Wiegand R , Deng X , Jones JM , Ronaldo I , Clarke KEN . Public Health Rep 2024 333549231223140 OBJECTIVE: We conducted a national US study of SARS-CoV-2 seroprevalence by Social Vulnerability Index (SVI) that included pediatric data and compared the Delta and Omicron periods during the COVID-19 pandemic. The objective of the current study was to assess the association between SVI and seroprevalence of infection-induced SARS-CoV-2 antibodies by period (Delta vs Omicron) and age group. METHODS: We used results of infection-induced SARS-CoV-2 antibody assays of clinical sera specimens (N = 406 469) from 50 US states from September 2021 through February 2022 to estimate seroprevalence overall and by county SVI tercile. Bivariate analyses and multilevel logistic regression models assessed the association of seropositivity with SVI and its themes by age group (0-17, ≥18 y) and period (Delta: September-November 2021; Omicron: December 2021-February 2022). RESULTS: Aggregate infection-induced SARS-CoV-2 antibody seroprevalence increased at all 3 SVI levels; it ranged from 25.8% to 33.5% in September 2021 and from 53.1% to 63.5% in February 2022. Of the 4 SVI themes, socioeconomic status had the strongest association with seroprevalence. During the Delta period, we found significantly more infections per reported case among people living in a county with high SVI (odds ratio [OR] = 2.76; 95% CI, 2.31-3.21) than in a county with low SVI (OR = 1.65; 95% CI, 1.33-1.97); we found no significant difference during the Omicron period. Otherwise, findings were consistent across subanalyses by age group and period. CONCLUSIONS: Among both children and adults, and during both the Delta and Omicron periods, counties with high SVI had significantly higher SARS-CoV-2 antibody seroprevalence than counties with low SVI did. These disparities reinforce SVI's value in identifying communities that need tailored prevention efforts during public health emergencies and resources to recover from their effects. |
A qualitative assessment of cleaning and hand hygiene practices at shelters serving people experiencing homelessness during the COVID-19 pandemic, Atlanta, GA - May-June, 2020
Besrat BN , Mosites E , Montgomery MP , Garcia-Williams AG , Trautner E , Clarke KEN , Marshall B , Vassell C , Rutt C , Jones SL . BMC Public Health 2024 24 (1) 247 BACKGROUND: Cleaning practices and hand hygiene are important behaviors to prevent and control the spread of infectious disease, especially in congregate settings. This project explored hygiene- and cleaning-related experiences in shelters serving people experiencing homelessness (PEH) during May-June 2020 of the COVID-19 pandemic. METHODS: We conducted qualitative, in-depth interviews by phone with 22 staff from six shelters in Atlanta, Georgia. The interview guide included questions about cleaning routines, cleaning barriers and facilitators, cleaning promotion, hand hygiene promotion, and hand hygiene barriers and facilitators. We analyzed interview transcripts using thematic analysis. RESULTS: Multiple individuals, such as shelter individuals (clients), volunteers, and staff, played a role in shelter cleaning. Staff reported engaging in frequent hand hygiene and cleaning practices. Barriers to cleaning included staffing shortages and access to cleaning supplies. Staff reported barriers (e.g., differing perceptions of cleanliness) for clients who were often involved in cleaning activities. Barriers to hand hygiene included limited time to wash hands, forgetting, and inconvenient handwashing facilities. Specific guidance about when and how to clean, and what supplies to use, were requested. CONCLUSION: During the early months of the COVID-19 pandemic, shelters serving PEH in the Atlanta-metro area needed resources and support to ensure sufficient staffing and supplies for cleaning activities. As part of future pandemic planning and outbreak prevention efforts, shelters serving PEH could benefit from specific guidance and training materials on cleaning and hand hygiene practices. |
Considerations for defining homelessness in public health data collection
Meehan AA , Waddell CJ , Marx GE , Clarke KEN , Bratcher A , Montgomery MP , Marcus R , Ramirez V , Mosites E . Public Health Rep 2023 333549231215850 Public health problems cannot be addressed without timely and accurate data. However, data that provide insight into populations that may be at disproportionate risk for disease, including people experiencing homelessness, are insufficiently captured. Although the associations between homelessness and disease have been well documented,1-6 data on housing status are not universally or consistently collected in routine public health data.7 Improving collection of data on housing status in public health data collection efforts is necessary to address health disparities among people experiencing homelessness and advance health equity research and practice. | Collecting data related to homelessness and disease is complicated for several reasons, but one of the most salient reasons is that defining homelessness is challenging. Several federal agencies use their own definitions to identify people who might be eligible for assistance programs, creating confusion about which definition should be used for public health purposes. In addition, definitions of homelessness at federal agencies have changed over time, further complicating the collection of homelessness data. The US Department of Housing and Urban Development (HUD) defines homelessness as lacking a fixed, regular, and adequate nighttime residence8; this definition includes both people with a primary nighttime residence of a public or private place not meant for human habitation (eg, cars, parks, public spaces, abandoned buildings) and people residing in temporary shelters (eg, emergency homeless shelter, transitional housing). The US Department of Education (DOE) uses a broader lens, defining homelessness to include school-aged children whose housing situation meets the HUD criteria for homelessness while also including those who share housing with other people by doubling up or couch surfing; those who live in motels, hotels, or trailer parks; and those who are abandoned at hospitals.9 |
Who gets sick from COVID-19 Sociodemographic correlates of severe adult health outcomes during Alpha- and Delta-variant predominant periods, 9/2020-11/2021
Wei SC , Freeman D , Himschoot A , Clarke KEN , Van Dyke ME , Adjemian J , Ahmad FB , Benoit TJ , Berney K , Gundlapalli AV , Hall AJ , Havers F , Henley SJ , Hilton C , Johns D , Opsomer JD , Pham HT , Stuckey MJ , Taylor CA , Jones JM . J Infect Dis 2023 BACKGROUND: Because COVID-19 case data do not capture most SARS-CoV-2 infections, the actual risk of severe disease and death per infection is unknown. Integrating sociodemographic data into analysis can show consequential health disparities. METHODS: Data from September 2020--November 2021 from six national surveillance systems in matched geographical areas were merged and analyzed to estimate numbers of COVID-19-associated cases, emergency department visits, and deaths per 100,000 infections. Relative risks of outcomes per infection were compared by sociodemographic factors in a dataset including 1,490 counties from 50 states and the District of Columbia, covering 71% of the US population. RESULTS: Per infection with SARS-CoV-2, COVID-19-related morbidity and mortality were higher among non-Hispanic American Indian and Alaska Native persons, non-Hispanic Black persons, and Hispanic or Latino persons compared with non-Hispanic White persons, males compared with females, older persons compared with younger, persons in more socially vulnerable counties compared with less, persons in large central metro areas compared with rural areas, and persons in the South compared with the Northeast. DISCUSSION: Meaningful disparities in COVID-19 morbidity and mortality per infection were associated with sociodemography and geography. Addressing these disparities could have helped prevent the loss of tens of thousands of lives. |
Racial, ethnic, sex, and age differences in COVID-19 cases, hospitalizations, and deaths among incarcerated people and staff in correctional facilities in six jurisdictions, United States, March-July 2020
D'Inverno AS , Myles RL , Jamison CR , Williams SP , Hagan LM , Handanagic S , Lambert LA , Clarke KEN , Allen J , Beard O , Dusseau C , Feldman R , Huebsch R , Hutchinson J , Kall D , King-Mohr J , Long M , McClure ES , Meddaugh P , Pontones P , Rose J , Sredl M , VonBank B , Zipprich J . J Racial Ethn Health Disparities 2023 OBJECTIVES: To examine disparities by sex, age group, and race and ethnicity in COVID-19 confirmed cases, hospitalizations, and deaths among incarcerated people and staff in correctional facilities. METHODS: Six U.S. jurisdictions reported data on COVID-19 confirmed cases, hospitalizations, and deaths stratified by sex, age group, and race and ethnicity for incarcerated people and staff in correctional facilities during March 1- July 31, 2020. We calculated incidence rates and rate ratios (RR) and absolute rate differences (RD) by sex, age group, and race and ethnicity, and made comparisons to the U.S. general population. RESULTS: Compared with the U.S. general population, incarcerated people and staff had higher COVID-19 case incidence (RR = 14.1, 95% CI = 13.9-14.3; RD = 6,692.2, CI = 6,598.8-6,785.5; RR = 6.0, CI = 5.7-6.3; RD = 2523.0, CI = 2368.1-2677.9, respectively); incarcerated people also had higher rates of COVID-19-related deaths (RR = 1.6, CI = 1.4-1.9; RD = 23.6, CI = 14.9-32.2). Rates of COVID-19 cases, hospitalizations, and deaths among incarcerated people and corrections staff differed by sex, age group, and race and ethnicity. The COVID-19 hospitalization (RR = 0.9, CI = 0.8-1.0; RD = -48.0, CI = -79.1- -16.8) and death rates (RR = 0.8, CI = 0.6-1.0; RD = -11.8, CI = -23.5- -0.1) for Black incarcerated people were lower than those for Black people in the general population. COVID-19 case incidence, hospitalizations, and deaths were higher among older incarcerated people, but not among staff. CONCLUSIONS: With a few exceptions, living or working in a correctional setting was associated with higher risk of COVID-19 infection and resulted in worse health outcomes compared with the general population; however, Black incarcerated people fared better than their U.S. general population counterparts. |
Methods for Estimation of SARS-CoV-2 Seroprevalence and Reported COVID-19 Cases in U.S. Children, August 2020—May 2021 (preprint)
Couture A , Lyons BC , Mehrotra ML , Sosa L , Ezike N , Ahmed FS , Brown CM , Yendell S , Azzam IA , Katić BJ , Cope A , Dickerson K , Stone J , Traxler LB , Dunn JR , Davis LB , Reed C , Clarke KEN , Flannery B , Charles MD . medRxiv 2021 2021.09.26.21263756 Background and Objectives Case-based surveillance of pediatric COVID-19 cases underestimates the prevalence of SARS-CoV-2 infections among children and adolescents. Our objectives were to: 1) estimate monthly SARS-CoV-2 antibody seroprevalence among children aged 0-17 years and 2) calculate ratios of SARS-CoV-2 infections to reported COVID-19 cases among children and adolescents in 14 U.S. states.Methods Using data from commercial laboratory seroprevalence surveys, we estimated monthly SARS-CoV-2 antibody seroprevalence among children aged 0-17 years from August 2020 through May 2021. Seroprevalence estimates were based on SARS-CoV-2 anti-nucleocapsid immunoassays from February to May 2021. We compared estimated numbers of children infected with SARS-CoV-2 by May 2021 to cumulative incidence of confirmed and probable COVID-19 cases from case-based surveillance, and calculated infection: case ratios by state and type of anti-SARS-CoV-2 nucleocapsid immunoassay used for seroprevalence testing.Results Analyses included 67,321 serum specimens tested for SARS-CoV-2 antibodies among children in 14 U.S. states. Estimated ratios of SARS-CoV-2 infections to reported confirmed and probable COVID-19 cases among children and adolescents varied by state and type of immunoassay, ranging from 0.8-13.3 in May 2021.Conclusions Through May 2021, the majority of children in selected states did not have detectable SARS-CoV-2 nucleocapsid antibodies. Case-based surveillance underestimated the number of children infected with SARS-CoV-2, however the predicted extent of the underestimate varied by state, immunoassay, and over time. Continued monitoring of pediatric SARS-CoV-2 antibody seroprevalence should inform prevention and vaccination strategies.Competing Interest StatementThe authors have declared no competing interest.Funding StatementFunding for this work was supported by CDC (Atlanta, Georgia).Author DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.YesThe details of the IRB/oversight body that provided approval or exemption for the research described are given below:This activity was reviewed by Centers for Disease Control and Prevention and determined to be consistent with non human participant research activity. Informed consent was waived, as data were deidentified. All necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.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.YesDeidentified individual participant data will not be made available.CDCCenters of Disease Control and PreventionMIS-CMultisystem inflammatory syndrome in childrenEUAEmergency Use AuthorizationFDAU.S. Food and Drug AdministrationACIPAdvisory Committee on Immunizations PracticesNNucleocapsidSSpikeIgImmunoglobulinCIConfidence intervals |
SARS-CoV-2 convalescent sera binding and neutralizing antibody concentrations compared with COVID-19 vaccine efficacy estimates against symptomatic infection (preprint)
Schuh AJ , Satheshkumar PS , Dietz S , Bull-Otterson L , Charles M , Edens C , Jones JM , Bajema KL , Clarke KEN , McDonald LC , Patel S , Cuffe K , Thornburg NJ , Schiffer J , Chun K , Bastidas M , Fernando M , Petropoulos CJ , Wrin T , Cai S , Adcock D , Sesok-Pizzini D , Letovsky S , Fry AM , Hall AJ , Gundlapalli AV . medRxiv 2021 26 Previous vaccine efficacy (VE) studies have estimated neutralizing and binding antibody concentrations that correlate with protection from symptomatic infection; how these estimates compare to those generated in response to SARS-CoV-2 infection is unclear. Here, we assessed quantitative neutralizing and binding antibody concentrations using standardized SARS-CoV-2 assays on 3,067 serum specimens collected during July 27, 2020-August 27, 2020 from COVID-19 unvaccinated persons with detectable anti-SARS-CoV-2 antibodies using qualitative antibody assays. Quantitative neutralizing and binding antibody concentrations were strongly positively correlated (r=0.76, p<0.0001) and were noted to be several fold lower in the unvaccinated study population as compared to published data on concentrations noted 28 days post-vaccination. In this convenience sample, ~88% of neutralizing and ~63-86% of binding antibody concentrations met or exceeded concentrations associated with 70% COVID-19 VE against symptomatic infection from published VE studies; ~30% of neutralizing and 1-14% of binding antibody concentrations met or exceeded concentrations associated with 90% COVID-19 VE. These data support observations of infection-induced immunity and current recommendations for vaccination post infection to maximize protection against symptomatic COVID-19. 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. |
Analysis of metapopulation models of the transmission of SARS-CoV-2 in the United States
Vo M , Feng Z , Glasser JW , Clarke KEN , Jones JN . J Math Biol 2023 87 (2) 24 During the COVID-19 pandemic, renewal equation estimates of time-varying effective reproduction numbers were useful to policymakers in evaluating the need for and impact of mitigation measures. Our objective here is to illustrate the utility of mechanistic expressions for the basic and effective (or intrinsic and realized) reproduction numbers, [Formula: see text] and related quantities derived from a Susceptible-Exposed-Infectious-Removed (SEIR) model including features of COVID-19 that might affect transmission of SARS-CoV-2, including asymptomatic, pre-symptomatic, and symptomatic infections, with which people may be hospitalized. Expressions from homogeneous host population models can be analyzed to determine the effort needed to reduce [Formula: see text] from [Formula: see text] to 1 and contributions of modeled mitigation measures. Our model is stratified by age, 0-4, 5-9, …, 75+ years, and location, the 50 states plus District of Columbia. Expressions from such heterogeneous host population models include subpopulation reproduction numbers, contributions from the above-mentioned infectious states, metapopulation numbers, subpopulation contributions, and equilibrium prevalence. While the population-immunity at which [Formula: see text] has captured the popular imagination, the metapopulation [Formula: see text] could be attained in an infinite number of ways even if only one intervention (e.g., vaccination) were capable of reducing [Formula: see text] However, gradients of expressions derived from heterogeneous host population models,[Formula: see text] can be evaluated to identify optimal allocations of limited resources among subpopulations. We illustrate the utility of such analytical results by simulating two hypothetical vaccination strategies, one uniform and other indicated by [Formula: see text] as well as the actual program estimated from one of the CDC's nationwide seroprevalence surveys conducted from mid-summer 2020 through the end of 2021. |
Use of severe acute respiratory syndrome coronavirus 2 antibody tests by US infectious disease physicians: Results of an emerging infections network survey, March 2022
Gundlapalli AV , Beekmann SE , Jones JM , Thornburg NJ , Clarke KEN , Uyeki TM , Satheshkumar PS , Carroll DS , Plumb ID , Briggs-Hagen M , Santibañez S , David-Ferdon C , Polgreen PM , McDonald LC . Open Forum Infect Dis 2023 10 (3) ofad091 BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody tests have had limited recommended clinical application during the coronavirus disease 2019 (COVID-19) pandemic. To inform clinical practice, an understanding is needed of current perspectives of United States-based infectious disease (ID) physicians on the use, interpretation, and need for SARS-CoV-2 antibody tests. METHODS: In March 2022, members of the Emerging Infections Network (EIN), a national network of practicing ID physicians, were surveyed on types of SARS-CoV-2 antibody assays ordered, interpretation of test results, and clinical scenarios for which antibody tests were considered. RESULTS: Of 1867 active EIN members, 747 (40%) responded. Among the 583 who managed or consulted on COVID-19 patients, a majority (434/583 [75%]) had ordered SARS-CoV-2 antibody tests and were comfortable interpreting positive (452/578 [78%]) and negative (405/562 [72%]) results. Antibody tests were used for diagnosing post-COVID-19 conditions (61%), identifying prior SARS-CoV-2 infection (60%), and differentiating prior infection and response to COVID-19 vaccination (37%). Less than a third of respondents had used antibody tests to assess need for additional vaccines or risk stratification. Lack of sufficient evidence for use and nonstandardized assays were among the most common barriers for ordering tests. Respondents indicated that statements from professional societies and government agencies would influence their decision to order SARS-CoV-2 antibody tests for clinical decision making. CONCLUSIONS: Practicing ID physicians are using SARS-CoV-2 antibody tests, and there is an unmet need for clarifying the appropriate use of these tests in clinical practice. Professional societies and US government agencies can support clinicians in the community through the creation of appropriate guidance. |
Estimated SARS-CoV-2 antibody seroprevalence trends and relationship to reported case prevalence from a repeated, cross-sectional study in the 50 states and the District of Columbia, United States-October 25, 2020-February 26, 2022.
Wiegand RE , Deng Y , Deng X , Lee A , Meyer WA3rd , Letovsky S , Charles MD , Gundlapalli AV , MacNeil A , Hall AJ , Thornburg NJ , Jones J , Iachan R , Clarke KEN . Lancet Reg Health Am 2023 18 100403 BACKGROUND: Sero-surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can reveal trends and differences in subgroups and capture undetected or unreported infections that are not included in case-based surveillance systems. METHODS: Cross-sectional, convenience samples of remnant sera from clinical laboratories from 51 U.S. jurisdictions were assayed for infection-induced SARS-CoV-2 antibodies biweekly from October 25, 2020, to July 11, 2021, and monthly from September 6, 2021, to February 26, 2022. Test results were analyzed for trends in infection-induced, nucleocapsid-protein seroprevalence using mixed effects models that adjusted for demographic variables and assay type. FINDINGS: Analyses of 1,469,792 serum specimens revealed U.S. infection-induced SARS-CoV-2 seroprevalence increased from 8.0% (95% confidence interval (CI): 7.9%-8.1%) in November 2020 to 58.2% (CI: 57.4%-58.9%) in February 2022. The U.S. ratio of the change in estimated seroprevalence to the change in reported case prevalence was 2.8 (CI: 2.8-2.9) during winter 2020-2021, 2.3 (CI: 2.0-2.5) during summer 2021, and 3.1 (CI: 3.0-3.3) during winter 2021-2022. Change in seroprevalence to change in case prevalence ratios ranged from 2.6 (CI: 2.3-2.8) to 3.5 (CI: 3.3-3.7) by region in winter 2021-2022. INTERPRETATION: Ratios of the change in seroprevalence to the change in case prevalence suggest a high proportion of infections were not detected by case-based surveillance during periods of increased transmission. The largest increases in the seroprevalence to case prevalence ratios coincided with the spread of the B.1.1.529 (Omicron) variant and with increased accessibility of home testing. Ratios varied by region and season with the highest ratios in the midwestern and southern United States during winter 2021-2022. Our results demonstrate that reported case counts did not fully capture differing underlying infection rates and demonstrate the value of sero-surveillance in understanding the full burden of infection. Levels of infection-induced antibody seroprevalence, particularly spikes during periods of increased transmission, are important to contextualize vaccine effectiveness data as the susceptibility to infection of the U.S. population changes. FUNDING: This work was supported by the Centers for Disease Control and Prevention, Atlanta, Georgia. |
Pediatric Infection-Induced SARS-CoV-2 Seroprevalence Increases and Seroprevalence by Type of Clinical Care-September 2021-February 2022.
Clarke KEN , Kim Y , Jones J , Lee A , Deng Y , Nycz E , Iachan R , Gundlapalli AV , MacNeil A , Hall A . J Infect Dis 2022 227 (3) 364-370 BACKGROUND AND OBJECTIVES: Trends in estimates of US pediatric SARS-CoV-2 infection-induced seroprevalence from commercial laboratory specimens may overrepresent children with frequent healthcare needs. We examined seroprevalence trends and compared seroprevalence estimates by testing type and diagnostic coding. METHODS: Cross-sectional convenience samples of residual sera between September 2021 and February 2022 from 52 U.S. jurisdictions were assayed for infection-induced SARS-CoV-2 antibodies; monthly seroprevalence estimates were calculated by age group. Multivariate logistic analyses compared seroprevalence estimates for specimens associated with ICD-10 codes and laboratory orders indicating well-child care with estimates for other pediatric specimens. RESULTS: Infection-induced SARS-CoV-2 seroprevalence increased in each age group; from 30% to 68% (1-4 years), 38% to 77% (5-11 years), and 40% to 74% (12-17 years). On multivariate analysis, patients with well-child ICD-10 codes were seropositive more often than other patients aged 1-17 years (adjusted prevalence ratio [aPR] 1.04; 95% CI 1.02-1.07); children aged 9-11 years receiving standard lipid screening were seropositive more often than those receiving other laboratory tests (1.05; 1.02-1.08). CONCLUSIONS: Infection-induced seroprevalence more than doubled among children under 12 between September 2021 and February 2022, and increased 85% in adolescents. Differences in seroprevalence by care type did not substantially impact US pediatric seroprevalence estimates. |
Severity of COVID-19 Hospitalization Outcomes and Patient Disposition Differ by Disability Status and Disability Type.
Clarke KEN , Hong K , Schoonveld M , Greenspan AI , Montgomery M , Thierry JM . Clin Infect Dis 2022 76 (5) 871-880 BACKGROUND: Systemic inequities may place people with disabilities at higher risk of severe COVID-19 illness or lower likelihood to be discharged home after hospitalization. We examined whether severity of COVID-19 hospitalization outcomes and disposition differ by disability status and disability type. METHODS: In a retrospective analysis of April 2020-November 2021 hospital-based administrative data among 745,375 people hospitalized with COVID-19 from 866 US hospitals, people with disabilities (n = 120,360) were identified via ICD-10-CM codes. Outcomes compared by disability status included intensive care admission, invasive mechanical ventilation (IMV), in-hospital mortality, 30-day readmission, length of stay, and disposition (discharge to home, long-term care facility (LTCF), or skilled nursing facility (SNF). RESULTS: People with disabilities had increased risks of IMV (aRR: 1.05; 95%CI: 1.03-1.08) and in-hospital mortality (1.04; 1.02-1.06) compared to those with no disability; risks were higher among people with intellectual and developmental disabilities (IDD) (IMV [1.34; 1.28-1.40], mortality [1.31; 1.26-1.37]) or mobility disabilities (IMV [1.13; 1.09-1.16], mortality [1.04; 1.01-1.07]). Risk of readmission was increased among people with any disability (1.23; 1.20-1.27) and each disability type. Risks of discharge to a LTCF (1.45, 1.39-1.49) or SNF (1.78, 1.74-1.81) were increased among community-dwelling people with each disability type. CONCLUSIONS: Severity of COVID-19 hospitalization outcomes vary by disability status and type; IDD and mobility disabilities were associated with higher risks of severe outcomes. Disparities such as differences in discharge disposition by disability status require further study which would be facilitated by standardized data on disability. Increased readmission across disability types indicates a need to improve discharge planning and support services. |
Analysis of Serological Surveys of Antibodies to SARS-CoV-2 in the United States to Estimate Parameters Needed for Transmission Modeling and to Evaluate and Improve the Accuracy of Predictions.
Glasser JW , Feng Z , Vo M , Jones JN , Clarke KEN . J Theor Biol 2022 556 111296 Seroprevalence studies can estimate proportions of the population that have been infected or vaccinated, including infections that were not reported because of the lack of symptoms or testing. Based on information from studies in the United States from mid-summer 2020 through the end of 2021, we describe proportions of the population with antibodies to SARS-CoV-2 as functions of age and time. Slices through these surfaces at arbitrary times provide initial and target conditions for simulation modeling. They also provide the information needed to calculate age-specific forces of infection, attack rates, and - together with contact rates - age-specific probabilities of infection on contact between susceptible and infectious people. We modified the familiar Susceptible-Exposed-Infectious-Removed (SEIR) model to include features of the biology of COVID-19 that might affect transmission of SARS-CoV-2 and stratified by age and location. We consulted the primary literature or subject matter experts for contact rates and other parameter values. Using time-varying Oxford COVID-19 Government Response Tracker assessments of US state and DC efforts to mitigate the pandemic and compliance with non-pharmaceutical interventions (NPIs) from a YouGov survey fielded in the US during 2020, we estimate that the efficacy of social-distancing when possible and mask-wearing otherwise at reducing susceptibility or infectiousness was 31% during the fall of 2020. Initialized from seroprevalence among people having commercial laboratory tests for purposes other than SARS-CoV-2 infection assessments on 7 September 2020, our age- and location-stratified SEIR population model reproduces seroprevalence among members of the same population on 25 December 2020 quite well. Introducing vaccination mid-December 2020, first of healthcare and other essential workers, followed by older adults, people who were otherwise immunocompromised, and then progressively younger people, our metapopulation model reproduces seroprevalence among blood donors on 4 April 2021 less well, but we believe that the discrepancy is due to vaccinations being under-reported or blood donors being disproportionately vaccinated, if not both. As experimenting with reliable transmission models is the best way to assess the indirect effects of mitigation measures, we determined the impact of vaccination, conditional on NPIs. Results indicate that, during this period, vaccination substantially reduced infections, hospitalizations and deaths. This manuscript was submitted as part of a theme issue on "Modelling COVID-19 and Preparedness for Future Pandemics." |
SARS-CoV-2 Convalescent Sera Binding and Neutralizing Antibody Concentrations Compared with COVID-19 Vaccine Efficacy Estimates against Symptomatic Infection.
Schuh AJ , Satheshkumar PS , Dietz S , Bull-Otterson L , Charles M , Edens C , Jones JM , Bajema KL , Clarke KEN , McDonald LC , Patel S , Cuffe K , Thornburg NJ , Schiffer J , Chun K , Bastidas M , Fernando M , Petropoulos CJ , Wrin T , Cai S , Adcock D , Sesok-Pizzini D , Letovsky S , Fry AM , Hall AJ , Gundlapalli AV . Microbiol Spectr 2022 10 (4) e0124722 Previous COVID-19 vaccine efficacy (VE) studies have estimated neutralizing and binding antibody concentrations that correlate with protection from symptomatic infection; how these estimates compare to those generated in response to SARS-CoV-2 infection is unclear. Here, we assessed quantitative neutralizing and binding antibody concentrations using standardized SARS-CoV-2 assays on 3,067 serum specimens collected during 27 July 2020 to 27 August 2020 from COVID-19-unvaccinated persons with detectable anti-SARS-CoV-2 antibodies. Neutralizing and binding antibody concentrations were severalfold lower in the unvaccinated study population compared to published concentrations at 28 days postvaccination. In this convenience sample, ~88% of neutralizing and ~63 to 86% of binding antibody concentrations met or exceeded concentrations associated with 70% COVID-19 VE against symptomatic infection; ~30% of neutralizing and 1 to 14% of binding antibody concentrations met or exceeded concentrations associated with 90% COVID-19 VE. Our study not only supports observations of infection-induced immunity and current recommendations for vaccination postinfection to maximize protection against COVID-19, but also provides a large data set of pre-COVID-19 vaccination anti-SARS-CoV-2 antibody concentrations that will serve as an important comparator in the current setting of vaccine-induced and hybrid immunity. As new SARS-CoV-2 variants emerge and displace circulating virus strains, we recommend that standardized binding antibody assays that include spike protein-based antigens be utilized to estimate antibody concentrations correlated with protection from COVID-19. These estimates will be helpful in informing public health guidance, such as the need for additional COVID-19 vaccine booster doses to prevent symptomatic infection. IMPORTANCE Although COVID-19 vaccine efficacy (VE) studies have estimated antibody concentrations that correlate with protection from COVID-19, how these estimates compare to those generated in response to SARS-CoV-2 infection is unclear. We assessed quantitative neutralizing and binding antibody concentrations using standardized assays on serum specimens collected from COVID-19-unvaccinated persons with detectable antibodies. We found that most unvaccinated persons with qualitative antibody evidence of prior infection had quantitative antibody concentrations that met or exceeded concentrations associated with 70% VE against COVID-19. However, only a small proportion had antibody concentrations that met or exceeded concentrations associated with 90% VE, suggesting that persons with prior COVID-19 would benefit from vaccination to maximize protective antibody concentrations against COVID-19. |
Association of Trends in SARS-CoV-2 Seroprevalence and State-Issued Nonpharmaceutical Interventions- United States, August 1, 2020 - March 30, 2021.
Miller MJ , Himschoot A , Fitch N , Jawalkar S , Freeman D , Hilton C , Berney K , Guy GP , Benoit TJ , Clarke KEN , Busch MP , Opsomer JD , Stramer SL , Hall AJ , Gundlapalli AV , MacNeil A , McCord R , Sunshine G , Howard-Williams M , Dunphy C , Jones JM . Clin Infect Dis 2022 75 S264-S270 OBJECTIVES: To assess if state-issued nonpharmaceutical interventions (NPIs) are associated with reduced rates of SARS-CoV-2 infection as measured through anti-nucleocapsid (anti-N) seroprevalence, a proxy for cumulative prior infection that distinguishes seropositivity from vaccination). METHODS: Monthly anti-N seroprevalence during August 1, 2020 - March 30, 2021 was estimated using a nationwide blood donor serosurvey. Using multivariable logistic regression models, we measured the association of seropositivity and state-issued, county-specific NPIs for mask mandates, gathering bans, and bar closures. RESULTS: Compared with individuals living in a county with all three NPIs in place, the odds of having anti-N antibodies were 2.2 (95% CI: 2.0-2.3) times higher for people living in a county that did not have any of the three NPIs, 1.6 (95% CI: 1.5-1.7) times higher for people living in a county that only had a mask mandate and gathering ban policy, and 1.4 (95% CI: 1.3-1.5) times higher for people living in a county that had only a mask mandate. CONCLUSIONS: Consistent with studies assessing NPIs relative to COVID-19 incidence and mortality, the presence of NPIs were associated with lower SARS-CoV-2 seroprevalence indicating lower rates of cumulative infections. Multiple NPIs are likely more effective than single NPIs. |
Seroprevalence of Infection-Induced SARS-CoV-2 Antibodies - United States, September 2021-February 2022.
Clarke KEN , Jones JM , Deng Y , Nycz E , Lee A , Iachan R , Gundlapalli AV , Hall AJ , MacNeil A . MMWR Morb Mortal Wkly Rep 2022 71 (17) 606-608 In December 2021, the B.1.1.529 (Omicron) variant of SARS-CoV-2, the virus that causes COVID-19, became predominant in the United States. Subsequently, national COVID-19 case rates peaked at their highest recorded levels.* Traditional methods of disease surveillance do not capture all COVID-19 cases because some are asymptomatic, not diagnosed, or not reported; therefore, the proportion of the population with SARS-CoV-2 antibodies (i.e., seroprevalence) can improve understanding of population-level incidence of COVID-19. This report uses data from CDC's national commercial laboratory seroprevalence study and the 2018 American Community Survey to examine U.S. trends in infection-induced SARS-CoV-2 seroprevalence during September 2021-February 2022, by age group. |
Public Health Lessons Learned in Responding to COVID-19 Among People Experiencing Homelessness in the United States.
Mosites E , Harrison B , Montgomery MP , Meehan AA , Leopold J , Barranco L , Schwerzler L , Carmichael AE , Clarke KEN , Butler JC . Public Health Rep 2022 137 (4) 333549221083643 Homelessness is a serious public health issue. The number of people experiencing homelessness (PEH) has been increasing since 2016; on a single night in January 2020, an estimated 580 000 people were experiencing homelessness in the United States, more than 225 000 of whom were unsheltered (ie, having a primary nighttime location that is not designated as a regular sleeping accommodation, such as on the streets or in abandoned buildings, vehicles, or encampments). 1 Compared with the general US population, PEH experience elevated rates of infectious and noninfectious disease and face 3 to 10 times higher mortality rates.2,3 In the United States, non-Hispanic Black people were 3.5 times more likely than non-Hispanic White people to experience homelessness. 4 American Indian/Alaska Native people also have disproportionately high rates of homelessness compared with non-Hispanic White people. 5 |
Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence and Reported Coronavirus Disease 2019 Cases in US Children, August 2020-May 2021.
Couture A , Lyons BC , Mehrotra ML , Sosa L , Ezike N , Ahmed FS , Brown CM , Yendell S , Azzam IA , Katić BJ , Cope A , Dickerson K , Stone J , Traxler LB , Dunn JR , Davis LB , Reed C , Clarke KEN , Flannery B , Charles MD . Open Forum Infect Dis 2022 9 (3) ofac044 BACKGROUND: Case-based surveillance of pediatric coronavirus disease 2019 (COVID-19) cases underestimates the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections among children and adolescents. Our objectives were to estimate monthly SARS-CoV-2 antibody seroprevalence and calculate ratios of SARS-CoV-2 infections to reported COVID-19 cases among children and adolescents in 8 US states. METHODS: Using data from the Nationwide Commercial Laboratory Seroprevalence Survey, we estimated monthly SARS-CoV-2 antibody seroprevalence among children aged 0-17 years from August 2020 through May 2021. We calculated and compared cumulative incidence of SARS-CoV-2 infection extrapolated from population-standardized seroprevalence of antibodies to SARS-CoV-2, cumulative COVID-19 case reports since March 2020, and infection-to-case ratios among persons of all ages and children aged 0-17 years for each state. RESULTS: Of 41 583 residual serum specimens tested, children aged 0-4, 5-11, and 12-17 years accounted for 1619 (3.9%), 10 507 (25.3%), and 29 457 (70.8%), respectively. Median SARS-CoV-2 antibody seroprevalence among children increased from 8% (range, 6%-20%) in August 2020 to 37% (range, 26%-44%) in May 2021. Estimated ratios of SARS-CoV-2 infections to reported COVID-19 cases in May 2021 ranged by state from 4.7-8.9 among children and adolescents to 2.2-3.9 for all ages combined. CONCLUSIONS: Through May 2021 in selected states, the majority of children with serum specimens included in serosurveys did not have evidence of prior SARS-CoV-2 infection. Case-based surveillance underestimated the number of children infected with SARS-CoV-2 more than among all ages. Continued monitoring of pediatric SARS-CoV-2 antibody seroprevalence should inform prevention and vaccination strategies. |
Social vulnerability and rurality associated with higher SARS-CoV-2 infection-induced seroprevalence: a nationwide blood donor study, United States, July 2020 - June 2021.
Li Z , Lewis B , Berney K , Hallisey E , Williams AM , Whiteman A , Rivera-González LO , Clarke KEN , Clayton H , Tincher T , Opsomer JD , Busch MP , Gundlapalli A , Jones JM . Clin Infect Dis 2022 75 (1) e133-e143 BACKGROUND: Most studies on health disparities during COVID-19 pandemic focused on reported cases and deaths, which are influenced by testing availability and access to care. This study aimed to examine SARS-CoV-2 antibody seroprevalence in the U.S. and its associations with race/ethnicity, rurality, and social vulnerability over time. METHODS: This repeated cross-sectional study used data from blood donations in 50 states and Washington, D.C. from July 2020 through June 2021. Donor ZIP codes were matched to counties and linked with Social Vulnerability Index (SVI) and urban-rural classification. SARS-CoV-2 antibody seroprevalences induced by infection and infection-vaccination combined were estimated. Association of infection-induced seropositivity with demographics, rurality, SVI, and its four themes were quantified using multivariate regression models. FINDINGS: Weighted seroprevalence differed significantly by race/ethnicity and rurality, and increased with increasing social vulnerability. During the study period, infection-induced seroprevalence increased from 1.6% to 27.2% and 3.7% to 20.0% in rural and urban counties, respectively, while rural counties had lower combined infection- and vaccination-induced seroprevalence (80.0% vs. 88.1%) in June 2021. Infection-induced seropositivity was associated with being Hispanic, non-Hispanic Black, and living in rural or higher socially vulnerable counties, after adjusting for demographic and geographic covariates. CONCLUSION: The findings demonstrated increasing SARS-CoV-2 seroprevalence in the U.S. across all geographic, demographic, and social sectors. The study illustrated disparities by race-ethnicity, rurality, and social vulnerability. The findings identified areas for targeted vaccination strategies and can inform efforts to reduce inequities and prepare for future outbreaks. |
Hospitalizations for COVID-19 Among US People Experiencing Incarceration or Homelessness.
Montgomery MP , Hong K , Clarke KEN , Williams S , Fukunaga R , Fields VL , Park J , Schieber LZ , Kompaniyets L , Ray CM , Lambert LA , D'Inverno AS , Ray TK , Jeffers A , Mosites E . JAMA Netw Open 2022 5 (1) e2143407 IMPORTANCE: People experiencing incarceration (PEI) and people experiencing homelessness (PEH) have an increased risk of COVID-19 exposure from congregate living, but data on their hospitalization course compared with that of the general population are limited. OBJECTIVE: To compare COVID-19 hospitalizations for PEI and PEH with hospitalizations among the general population. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional analysis used data from the Premier Healthcare Database on 3415 PEI and 9434 PEH who were evaluated in the emergency department or were hospitalized in more than 800 US hospitals for COVID-19 from April 1, 2020, to June 30, 2021. EXPOSURES: Incarceration or homelessness. MAIN OUTCOMES AND MEASURES: Hospitalization proportions were calculated. and outcomes (intensive care unit admission, invasive mechanical ventilation [IMV], mortality, length of stay, and readmissions) among PEI and PEH were compared with outcomes for all patients with COVID-19 (not PEI or PEH). Multivariable regression was used to adjust for potential confounders. RESULTS: In total, 3415 PEI (2952 men [86.4%]; mean [SD] age, 50.8 [15.7] years) and 9434 PEH (6776 men [71.8%]; mean [SD] age, 50.1 [14.5] years) were evaluated in the emergency department for COVID-19 and were hospitalized more often (2170 of 3415 [63.5%] PEI; 6088 of 9434 [64.5%] PEH) than the general population (624 470 of 1 257 250 [49.7%]) (P < .001). Both PEI and PEH hospitalized for COVID-19 were more likely to be younger, male, and non-Hispanic Black than the general population. Hospitalized PEI had a higher frequency of IMV (410 [18.9%]; adjusted risk ratio [aRR], 1.16; 95% CI, 1.04-1.30) and mortality (308 [14.2%]; aRR, 1.28; 95% CI, 1.11-1.47) than the general population (IMV, 88 897 [14.2%]; mortality, 84 725 [13.6%]). Hospitalized PEH had a lower frequency of IMV (606 [10.0%]; aRR, 0.64; 95% CI, 0.58-0.70) and mortality (330 [5.4%]; aRR, 0.53; 95% CI, 0.47-0.59) than the general population. Both PEI and PEH had longer mean (SD) lengths of stay (PEI, 9 [10] days; PEH, 11 [26] days) and a higher frequency of readmission (PEI, 128 [5.9%]; PEH, 519 [8.5%]) than the general population (mean [SD] length of stay, 8 [10] days; readmission, 28 493 [4.6%]). CONCLUSIONS AND RELEVANCE: In this cross-sectional study, a higher frequency of COVID-19 hospitalizations for PEI and PEH underscored the importance of adhering to recommended prevention measures. Expanding medical respite may reduce hospitalizations in these disproportionately affected populations. |
Disaggregating Data to Measure Racial Disparities in COVID-19 Outcomes and Guide Community Response - Hawaii, March 1, 2020-February 28, 2021.
Quint JJ , Van Dyke ME , Maeda H , Worthington JK , Dela Cruz MR , Kaholokula JK , Matagi CE , Pirkle CM , Roberson EK , Sentell T , Watkins-Victorino L , Andrews CA , Center KE , Calanan RM , Clarke KEN , Satter DE , Penman-Aguilar A , Parker EM , Kemble S . MMWR Morb Mortal Wkly Rep 2021 70 (37) 1267-1273 Native Hawaiian and Pacific Islander populations have been disproportionately affected by COVID-19 (1-3). Native Hawaiian, Pacific Islander, and Asian populations vary in language; cultural practices; and social, economic, and environmental experiences,(†) which can affect health outcomes (4).(§) However, data from these populations are often aggregated in analyses. Although data aggregation is often used as an approach to increase sample size and statistical power when analyzing data from smaller population groups, it can limit the understanding of disparities among diverse Native Hawaiian, Pacific Islander, and Asian subpopulations(¶) (4-7). To assess disparities in COVID-19 outcomes among Native Hawaiian, Pacific Islander, and Asian populations, a disaggregated, descriptive analysis, informed by recommendations from these communities,** was performed using race data from 21,005 COVID-19 cases and 449 COVID-19-associated deaths reported to the Hawaii State Department of Health (HDOH) during March 1, 2020-February 28, 2021.(††) In Hawaii, COVID-19 incidence and mortality rates per 100,000 population were 1,477 and 32, respectively during this period. In analyses with race categories that were not mutually exclusive, including persons of one race alone or in combination with one or more races, Pacific Islander persons, who account for 5% of Hawaii's population, represented 22% of COVID-19 cases and deaths (COVID-19 incidence of 7,070 and mortality rate of 150). Native Hawaiian persons experienced an incidence of 1,181 and a mortality rate of 15. Among subcategories of Asian populations, the highest incidences were experienced by Filipino persons (1,247) and Vietnamese persons (1,200). Disaggregating Native Hawaiian, Pacific Islander, and Asian race data can aid in identifying racial disparities among specific subpopulations and highlights the importance of partnering with communities to develop culturally responsive outreach teams(§§) and tailored public health interventions and vaccination campaigns to more effectively address health disparities. |
Mental Health and Substance Use Among Adults with Disabilities During the COVID-19 Pandemic - United States, February-March 2021.
Czeisler MÉ , Board A , Thierry JM , Czeisler CA , Rajaratnam SMW , Howard ME , Clarke KEN . MMWR Morb Mortal Wkly Rep 2021 70 (34) 1142-1149 Adults with disabilities, a group including >25% of U.S. adults (1), experience higher levels of mental health and substance use conditions and lower treatment rates than do adults without disabilities* (2,3). Survey data collected during April-September 2020 revealed elevated adverse mental health symptoms among adults with disabilities (4) compared with the general adult population (5). Despite disproportionate risk for infection with SARS-CoV-2, the virus that causes COVID-19, and COVID-19-associated hospitalization and mortality among some adults with disabilities (6), information about mental health and substance use in this population during the pandemic is limited. To identify factors associated with adverse mental health symptoms and substance use among adults with disabilities, the COVID-19 Outbreak Public Evaluation (COPE) Initiative(†) administered nonprobability-based Internet surveys to 5,256 U.S. adults during February-March 2021 (response rate = 62.1%). Among 5,119 respondents who completed a two-item disability screener, nearly one third (1,648; 32.2%) screened as adults with disabilities. These adults more frequently experienced symptoms of anxiety or depression (56.6% versus 28.7%, respectively), new or increased substance use (38.8% versus 17.5%), and suicidal ideation (30.6% versus 8.3%) than did adults without disabilities. Among all adults who had received a diagnosis of mental health or substance use conditions, adults with disabilities more frequently (42.6% versus 35.3%; p <0.001) reported that the pandemic made it harder for them to access related care or medication. Enhanced mental health and substance use screening among adults with disabilities and improved access to medical services are critical during public health emergencies such as the COVID-19 pandemic. |
Racial and Ethnic Disparities in Incidence of SARS-CoV-2 Infection, 22 US States and DC, January 1-October 1, 2020.
Hollis ND , Li W , Van Dyke ME , Njie GJ , Scobie HM , Parker EM , Penman-Aguilar A , Clarke KEN . Emerg Infect Dis 2021 27 (5) 1477-1481 We examined disparities in cumulative incidence of severe acute respiratory syndrome coronavirus 2 by race/ethnicity, age, and sex in the United States during January 1-October 1, 2020. Hispanic/Latino and non-Hispanic Black, American Indian/Alaskan Native, and Native Hawaiian/other Pacific Islander persons had a substantially higher incidence of infection than non-Hispanic White persons. |
Rapid Spread of SARS-CoV-2 in a State Prison After Introduction by Newly Transferred Incarcerated Persons - Wisconsin, August 14-October 22, 2020.
Hershow RB , Segaloff HE , Shockey AC , Florek KR , Murphy SK , DuBose W , Schaeffer TL , Powell Mph JA , Gayle K , Lambert L , Schwitters A , Clarke KEN , Westergaard R . MMWR Morb Mortal Wkly Rep 2021 70 (13) 478-482 SARS-CoV-2, the virus that causes COVID-19, can spread rapidly in prisons and can be introduced by staff members and newly transferred incarcerated persons (1,2). On September 28, 2020, the Wisconsin Department of Health Services (DHS) contacted CDC to report a COVID-19 outbreak in a state prison (prison A). During October 6-20, a CDC team investigated the outbreak, which began with 12 cases detected from specimens collected during August 17-24 from incarcerated persons housed within the same unit, 10 of whom were transferred together on August 13 and under quarantine following prison intake procedures (intake quarantine). Potentially exposed persons within the unit began a 14-day group quarantine on August 25. However, quarantine was not restarted after quarantined persons were potentially exposed to incarcerated persons with COVID-19 who were moved to the unit. During the subsequent 8 weeks (August 14-October 22), 869 (79.4%) of 1,095 incarcerated persons and 69 (22.6%) of 305 staff members at prison A received positive test results for SARS-CoV-2. Whole genome sequencing (WGS) of specimens from 172 cases among incarcerated persons showed that all clustered in the same lineage; this finding, along with others, demonstrated that facility spread originated with the transferred cohort. To effectively implement a cohorted quarantine, which is a harm reduction strategy for correctional settings with limited space, CDC's interim guidance recommendation is to serial test cohorts, restarting the 14-day quarantine period when a new case is identified (3). Implementing more effective intake quarantine procedures and available mitigation measures, including vaccination, among incarcerated persons is important to controlling transmission in prisons. Understanding and addressing the challenges faced by correctional facilities to implement medical isolation and quarantine can help reduce and prevent outbreaks. |
Racial and Ethnic Disparities in COVID-19 Incidence by Age, Sex, and Period Among Persons Aged <25 Years - 16 U.S. Jurisdictions, January 1-December 31, 2020.
Van Dyke ME , Mendoza MCB , Li W , Parker EM , Belay B , Davis EM , Quint JJ , Penman-Aguilar A , Clarke KEN . MMWR Morb Mortal Wkly Rep 2021 70 (11) 382-388 The COVID-19 pandemic has disproportionately affected racial and ethnic minority groups in the United States. Whereas racial and ethnic disparities in severe COVID-19-associated outcomes, including mortality, have been documented (1-3), less is known about population-based disparities in infection with SARS-CoV-2, the virus that causes COVID-19. In addition, although persons aged <30 years account for approximately one third of reported infections,(§) there is limited information on racial and ethnic disparities in infection among young persons over time and by sex and age. Based on 689,672 U.S. COVID-19 cases reported to CDC's case-based surveillance system by jurisdictional health departments, racial and ethnic disparities in COVID-19 incidence among persons aged <25 years in 16 U.S. jurisdictions(¶) were described by age group and sex and across three periods during January 1-December 31, 2020. During January-April, COVID-19 incidence was substantially higher among most racial and ethnic minority groups compared with that among non-Hispanic White (White) persons (rate ratio [RR] range = 1.09-4.62). During May-August, the RR increased from 2.49 to 4.57 among non-Hispanic Native Hawaiian and Pacific Islander (NH/PI) persons but decreased among other racial and ethnic minority groups (RR range = 0.52-2.82). Decreases in disparities were observed during September-December (RR range = 0.37-1.69); these decreases were largely because of a greater increase in incidence among White persons, rather than a decline in incidence among racial and ethnic minority groups. NH/PI, non-Hispanic American Indian or Alaska Native (AI/AN), and Hispanic or Latino (Hispanic) persons experienced the largest persistent disparities over the entire period. Ensuring equitable and timely access to preventive measures, including testing, safe work and education settings, and vaccination when eligible is important to address racial/ethnic disparities. |
Delay or Avoidance of Medical Care Because of COVID-19-Related Concerns - United States, June 2020.
Czeisler MÉ , Marynak K , Clarke KEN , Salah Z , Shakya I , Thierry JM , Ali N , McMillan H , Wiley JF , Weaver MD , Czeisler CA , Rajaratnam SMW , Howard ME . MMWR Morb Mortal Wkly Rep 2020 69 (36) 1250-1257 Temporary disruptions in routine and nonemergency medical care access and delivery have been observed during periods of considerable community transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19) (1). However, medical care delay or avoidance might increase morbidity and mortality risk associated with treatable and preventable health conditions and might contribute to reported excess deaths directly or indirectly related to COVID-19 (2). To assess delay or avoidance of urgent or emergency and routine medical care because of concerns about COVID-19, a web-based survey was administered by Qualtrics, LLC, during June 24-30, 2020, to a nationwide representative sample of U.S. adults aged ≥18 years. Overall, an estimated 40.9% of U.S. adults have avoided medical care during the pandemic because of concerns about COVID-19, including 12.0% who avoided urgent or emergency care and 31.5% who avoided routine care. The estimated prevalence of urgent or emergency care avoidance was significantly higher among the following groups: unpaid caregivers for adults* versus noncaregivers (adjusted prevalence ratio [aPR] = 2.9); persons with two or more selected underlying medical conditions(†) versus those without those conditions (aPR = 1.9); persons with health insurance versus those without health insurance (aPR = 1.8); non-Hispanic Black (Black) adults (aPR = 1.6) and Hispanic or Latino (Hispanic) adults (aPR = 1.5) versus non-Hispanic White (White) adults; young adults aged 18-24 years versus adults aged 25-44 years (aPR = 1.5); and persons with disabilities(§) versus those without disabilities (aPR = 1.3). Given this widespread reporting of medical care avoidance because of COVID-19 concerns, especially among persons at increased risk for severe COVID-19, urgent efforts are warranted to ensure delivery of services that, if deferred, could result in patient harm. Even during the COVID-19 pandemic, persons experiencing a medical emergency should seek and be provided care without delay (3). |
Race/Ethnicity, Underlying Medical Conditions, Homelessness, and Hospitalization Status of Adult Patients with COVID-19 at an Urban Safety-Net Medical Center - Boston, Massachusetts, 2020.
Hsu HE , Ashe EM , Silverstein M , Hofman M , Lange SJ , Razzaghi H , Mishuris RG , Davidoff R , Parker EM , Penman-Aguilar A , Clarke KEN , Goldman A , James TL , Jacobson K , Lasser KE , Xuan Z , Peacock G , Dowling NF , Goodman AB . MMWR Morb Mortal Wkly Rep 2020 69 (27) 864-869 As of July 5, 2020, approximately 2.8 million coronavirus disease 2019 (COVID-19) cases and 130,000 COVID-19-associated deaths had been reported in the United States (1). Populations historically affected by health disparities, including certain racial and ethnic minority populations, have been disproportionally affected by and hospitalized with COVID-19 (2-4). Data also suggest a higher prevalence of infection with SARS-CoV-2, the virus that causes COVID-19, among persons experiencing homelessness (5). Safety-net hospitals,(dagger) such as Boston Medical Center (BMC), which provide health care to persons regardless of their insurance status or ability to pay, treat higher proportions of these populations and might experience challenges during the COVID-19 pandemic. This report describes the characteristics and clinical outcomes of adult patients with laboratory-confirmed COVID-19 treated at BMC during March 1-May 18, 2020. During this time, 2,729 patients with SARS-CoV-2 infection were treated at BMC and categorized into one of the following mutually exclusive clinical severity designations: exclusive outpatient management (1,543; 56.5%), non-intensive care unit (ICU) hospitalization (900; 33.0%), ICU hospitalization without invasive mechanical ventilation (69; 2.5%), ICU hospitalization with mechanical ventilation (119; 4.4%), and death (98; 3.6%). The cohort comprised 44.6% non-Hispanic black (black) patients and 30.1% Hispanic or Latino (Hispanic) patients. Persons experiencing homelessness accounted for 16.4% of patients. Most patients who died were aged >/=60 years (81.6%). Clinical severity differed by age, race/ethnicity, underlying medical conditions, and homelessness. A higher proportion of Hispanic patients were hospitalized (46.5%) than were black (39.5%) or non-Hispanic white (white) (34.4%) patients, a finding most pronounced among those aged <60 years. A higher proportion of non-ICU inpatients were experiencing homelessness (24.3%), compared with homeless patients who were admitted to the ICU without mechanical ventilation (15.9%), with mechanical ventilation (15.1%), or who died (15.3%). Patient characteristics associated with illness and clinical severity, such as age, race/ethnicity, homelessness, and underlying medical conditions can inform tailored strategies that might improve outcomes and mitigate strain on the health care system from COVID-19. |
Assessment of SARS-CoV-2 Infection Prevalence in Homeless Shelters - Four U.S. Cities, March 27-April 15, 2020.
Mosites E , Parker EM , Clarke KEN , Gaeta JM , Baggett TP , Imbert E , Sankaran M , Scarborough A , Huster K , Hanson M , Gonzales E , Rauch J , Page L , McMichael TM , Keating R , Marx GE , Andrews T , Schmit K , Morris SB , Dowling NF , Peacock G . MMWR Morb Mortal Wkly Rep 2020 69 (17) 521-522 In the United States, approximately 1.4 million persons access emergency shelter or transitional housing each year (1). These settings can pose risks for communicable disease spread. In late March and early April 2020, public health teams responded to clusters (two or more cases in the preceding 2 weeks) of coronavirus disease 2019 (COVID-19) in residents and staff members from five homeless shelters in Boston, Massachusetts (one shelter); San Francisco, California (one); and Seattle, Washington (three). The investigations were performed in coordination with academic partners, health care providers, and homeless service providers. Investigations included reverse transcription-polymerase chain reaction testing at commercial and public health laboratories for SARS-CoV-2, the virus that causes COVID-19, over approximately 1-2 weeks for residents and staff members at the five shelters. During the same period, the team in Seattle, Washington, also tested residents and staff members at 12 shelters where a single case in each had been identified. In Atlanta, Georgia, a team proactively tested residents and staff members at two shelters with no known COVID-19 cases in the preceding 2 weeks. In each city, the objective was to test all shelter residents and staff members at each assessed facility, irrespective of symptoms. Persons who tested positive were transported to hospitals or predesignated community isolation areas. |
Global epidemiology of diphtheria, 2000-2017
Clarke KEN , MacNeil A , Hadler S , Scott C , Tiwari TSP , Cherian T . Emerg Infect Dis 2019 25 (10) 1834-1842 In 2017, a total of 8,819 cases of diphtheria were reported worldwide, the most since 2004. However, recent diphtheria epidemiology has not been well described. We analyzed incidence data and data from the literature to describe diphtheria epidemiology. World Health Organization surveillance data were 81% complete; completeness varied by region, indicating underreporting. As national diphtheria-tetanus-pertussis (DTP) 3 coverage increased, the proportion of case-patients <15 years of age decreased, indicating increased protection of young children. In countries with higher case counts, 66% of case-patients were unvaccinated and 63% were <15 years of age. In countries with sporadic cases, 32% of case-patients were unvaccinated and 66% were >15 years of age, consistent with waning vaccine immunity. Global DTP3 coverage is suboptimal. Attaining high DTP3 coverage and implementing recommended booster doses are necessary to decrease diphtheria incidence. Collection and use of data on subnational and booster dose coverage, enhanced laboratory capacity, and case-based surveillance would improve data quality. |
Strengths, pitfalls, and lessons learned in implementing electronic collection of childhood vaccination data in Zambia: The SmartCare experience
Clarke KEN , Phiri Chibawe C , Essiet-Gibson I , Dien Mwansa F , Jacenko S , Rhee C , Kwendakwape M , Kashoka A , MacNeil A . Int J Med Inform 2019 129 146-153 Background: Despite widespread interest in computerized vaccination information systems, evaluation of the data quality in these systems and their acceptability to frontline healthcare workers in low and middle-income countries aren't well addressed in the literature. Objective(s): Evaluation of vaccination data quality and facility-level staff perspectives on the strengths and challenges of a vaccination data module in a widely used electronic health record (EHR) system in Zambia. Method(s): After a desk review of data from two provinces, a cross-sectional mixed methods study was designed, including quantitative analysis of data quality and qualitative analysis of the module's acceptability to facility staff, using the Information System Success model as the framework for evaluation of system quality, service quality, and information quality. Data were collected from 10 purposively sampled health facilities. Result(s): There was low current use of the vaccination module by facilities in the study area (2%). Daily power outages presented a practical challenge. Staff who had used previous EHRs had concerns about sustainability. System quality: While the module was user-friendly, there were concerns about EHR compatibility with vaccination workflow and outreach settings, where vaccines are commonly administered to older children. Service quality: The module was viewed as dependable; perceptions were influenced by computer literacy. Information quality: The database contained incomplete and incongruous data. Staff perceived data as accurate but incomplete; easy access to data was a strength. Conclusion(s): Potential benefits of the vaccination module were frequently unrealized due to infrastructure, workflow, and data flow challenges that resulted in low module use and poor information quality. Elements to optimize vaccination information system implementation could include robust engagement of facility-level staff in system design, system suitability to the vaccination setting and workflow, and comprehensive planning for data flow, sustainability, data monitoring and feedback. Adaptability to the outreach setting might be increasingly important as vaccination schedules extend past infancy. |
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