Last data update: May 06, 2024. (Total: 46732 publications since 2009)
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Query Trace: Swain R[original query] |
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Severity of influenza-associated hospitalisations by influenza virus type and subtype in the USA, 2010-19: a repeated cross-sectional study
Sumner KM , Masalovich S , O'Halloran A , Holstein R , Reingold A , Kirley PD , Alden NB , Herlihy RK , Meek J , Yousey-Hindes K , Anderson EJ , Openo KP , Monroe ML , Leegwater L , Henderson J , Lynfield R , McMahon M , McMullen C , Angeles KM , Spina NL , Engesser K , Bennett NM , Felsen CB , Lung K , Shiltz E , Thomas A , Talbot HK , Schaffner W , Swain A , George A , Rolfes MA , Reed C , Garg S . Lancet Microbe 2023 4 (11) e903-e912 BACKGROUND: Influenza burden varies across seasons, partly due to differences in circulating influenza virus types or subtypes. Using data from the US population-based surveillance system, Influenza Hospitalization Surveillance Network (FluSurv-NET), we aimed to assess the severity of influenza-associated outcomes in individuals hospitalised with laboratory-confirmed influenza virus infections during the 2010-11 to 2018-19 influenza seasons. METHODS: To evaluate the association between influenza virus type or subtype causing the infection (influenza A H3N2, A H1N1pdm09, and B viruses) and in-hospital severity outcomes (intensive care unit [ICU] admission, use of mechanical ventilation or extracorporeal membrane oxygenation [ECMO], and death), we used FluSurv-NET to capture data for laboratory-confirmed influenza-associated hospitalisations from the 2010-11 to 2018-19 influenza seasons for individuals of all ages living in select counties in 13 US states. All individuals had to have an influenza virus test within 14 days before or during their hospital stay and an admission date between Oct 1 and April 30 of an influenza season. Exclusion criteria were individuals who did not have a complete chart review; cases from sites that contributed data for three or fewer seasons; hospital-onset cases; cases with unidentified influenza type; cases of multiple influenza virus type or subtype co-infection; or individuals younger than 6 months and ineligible for the influenza vaccine. Logistic regression models adjusted for influenza season, influenza vaccination status, age, and FluSurv-NET site compared odds of in-hospital severity by virus type or subtype. When missing, influenza A subtypes were imputed using chained equations of known subtypes by season. FINDINGS: Data for 122 941 individuals hospitalised with influenza were captured in FluSurv-NET from the 2010-11 to 2018-19 seasons; after exclusions were applied, 107 941 individuals remained and underwent influenza A virus imputation when missing A subtype (43·4%). After imputation, data for 104 969 remained and were included in the final analytic sample. Averaging across imputed datasets, 57·7% (weighted percentage) had influenza A H3N2, 24·6% had influenza A H1N1pdm09, and 17·7% had influenza B virus infections; 16·7% required ICU admission, 6·5% received mechanical ventilation or ECMO, and 3·0% died (95% CIs had a range of less than 0·1% and are not displayed). Individuals with A H1N1pdm09 had higher odds of in-hospital severe outcomes than those with A H3N2: adjusted odds ratios (ORs) for A H1N1pdm09 versus A H3N2 were 1·42 (95% CI 1·32-1·52) for ICU admission; 1·79 (1·60-2·00) for mechanical ventilation or ECMO use; and 1·25 (1·07-1·46) for death. The adjusted ORs for individuals infected with influenza B versus influenza A H3N2 were 1·06 (95% CI 1·01-1·12) for ICU admission, 1·14 (1·05-1·24) for mechanical ventilation or ECMO use, and 1·18 (1·07-1·31) for death. INTERPRETATION: Despite a higher burden of hospitalisations with influenza A H3N2, we found an increased likelihood of in-hospital severe outcomes in individuals hospitalised with influenza A H1N1pdm09 or influenza B virus. Thus, it is important for individuals to receive an annual influenza vaccine and for health-care providers to provide early antiviral treatment for patients with suspected influenza who are at increased risk of severe outcomes, not only when there is high influenza A H3N2 virus circulation but also when influenza A H1N1pdm09 and influenza B viruses are circulating. FUNDING: The US Centers for Disease Control and Prevention. |
Vaccination status and trends in adult COVID-19-associated hospitalizations by race and ethnicity, March 2020-August 2022
Ko JY , Pham H , Anglin O , Chai SJ , Alden NB , Meek J , Anderson EJ , Weigel A , Kohrman A , Lynfield R , Rudin D , Barney G , Bennett NM , Billing LM , Sutton M , Talbot HK , Swain A , Havers FP , Taylor CA . Clin Infect Dis 2023 77 (6) 827-838 BACKGROUND: We sought to evaluate whether race/ethnicity disparities in severe COVID-19 outcomes persist in the era of vaccination. METHODS: Population-based age-adjusted monthly rate ratios (RR) of laboratory-confirmed COVID-19-asssociated hospitalizations were calculated among adult patients from COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) during March 2020 - August 2022, by race/ethnicity. Among randomly sampled patients, July 2021-August 2022, RRs for hospitalization, intensive care unit (ICU) admission, and in-hospital mortality were calculated for Hispanic, Black, American Indian/Alaskan Native (AI/AN), and Asian/Pacific Islander (API) versus White persons. RESULTS: Based on data from 353,807 hospitalized patients, hospitalization rates were higher among Hispanic, Black and AI/AN versus White persons during March 2020 - August 2022, yet the magnitude of the disparities declined over time (for Hispanic, RR=6.7; 95%CI: 6.5-7.1 in June 2020 vs RR<2.0 after July 2021; for AI/AN, RR=8.4; 95%CI: 8.2-8.7in May 2020 vs RR<2.0 after March 2022; and for Black persons RR=5.3; 95%CI: 4.6-4.9 in July 2020 vs RR<2.0 after February 2022; all p≤0.001). Among 8,706 sampled patients during July 2021 - August 2022, hospitalization and ICU admission RRs were higher for Hispanic, Black, and AI/AN (range for both hospitalization and ICU admission: 1.4-2.4) and lower for API (range for both: 0.6-0.9) versus White persons. All other race and ethnicity groups had higher in-hospital mortality rates versus White persons (RR range: 1.4-2.9). CONCLUSIONS: Race/ethnicity disparities in COVID-19-associated hospitalizations declined but persist in the era of vaccination. Developing strategies to ensure equitable access to vaccination and treatment remains important. |
HIV and sexually transmitted infections among persons with Monkeypox - eight U.S. Jurisdictions, May 17-July 22, 2022
Curran KG , Eberly K , Russell OO , Snyder RE , Phillips EK , Tang EC , Peters PJ , Sanchez MA , Hsu L , Cohen SE , Sey EK , Yin S , Foo C , Still W , Mangla A , Saafir-Callaway B , Barrineau-Vejjajiva L , Meza C , Burkhardt E , Smith ME , Murphy PA , Kelly NK , Spencer H , Tabidze I , Pacilli M , Swain CA , Bogucki K , DelBarba C , Rajulu DT , Dailey A , Ricaldi J , Mena LA , Daskalakis D , Bachmann LH , Brooks JT , Oster AM . MMWR Morb Mortal Wkly Rep 2022 71 (36) 1141-1147 High prevalences of HIV and other sexually transmitted infections (STIs) have been reported in the current global monkeypox outbreak, which has affected primarily gay, bisexual, and other men who have sex with men (MSM) (1-5). In previous monkeypox outbreaks in Nigeria, concurrent HIV infection was associated with poor monkeypox clinical outcomes (6,7). Monkeypox, HIV, and STI surveillance data from eight U.S. jurisdictions* were matched and analyzed to examine HIV and STI diagnoses among persons with monkeypox and assess differences in monkeypox clinical features according to HIV infection status. Among 1,969 persons with monkeypox during May 17-July 22, 2022, HIV prevalence was 38%, and 41% had received a diagnosis of one or more other reportable STIs in the preceding year. Among persons with monkeypox and diagnosed HIV infection, 94% had received HIV care in the preceding year, and 82% had an HIV viral load of <200 copies/mL, indicating HIV viral suppression. Compared with persons without HIV infection, a higher proportion of persons with HIV infection were hospitalized (8% versus 3%). Persons with HIV infection or STIs are disproportionately represented among persons with monkeypox. It is important that public health officials leverage systems for delivering HIV and STI care and prevention to reduce monkeypox incidence in this population. Consideration should be given to prioritizing persons with HIV infection and STIs for vaccination against monkeypox. HIV and STI screening and other recommended preventive care should be routinely offered to persons evaluated for monkeypox, with linkage to HIV care or HIV preexposure prophylaxis (PrEP) as appropriate. |
A science impact framework to measure impact beyond journal metrics
Ari MD , Iskander J , Araujo J , Casey C , Kools J , Chen B , Swain R , Kelly M , Popovic T . PLoS One 2020 15 (12) e0244407 Measuring the impact of public health science or research is important especially when it comes to health outcomes. Achieving the desired health outcomes take time and may be influenced by several contributors, making attribution of credit to any one entity or effort problematic. Here we offer a science impact framework (SIF) for tracing and linking public health science to events and/or actions with recognized impact beyond journal metrics. The SIF was modeled on the Institute of Medicine's (IOM) Degrees of Impact Thermometer, but differs in that SIF is not incremental, not chronological, and has expanded scope. The SIF recognizes five domains of influence: disseminating science, creating awareness, catalyzing action, effecting change and shaping the future (scope differs from IOM). For public health, the goal is to achieve one or more specific health outcomes. What is unique about this framework is that the focus is not just on the projected impact or outcome but rather the effects that are occurring in real time with the recognition that the measurement field is complex, and it takes time for the ultimate outcome to occur. The SIF is flexible and can be tailored to measure the impact of any scientific effort: from complex initiatives to individual publications. The SIF may be used to measure impact prospectively of an ongoing or new body of work (e.g., research, guidelines and recommendations, or technology) and retrospectively of completed and disseminated work, through linking of events using indicators that are known and have been used for measuring impact. Additionally, linking events offers an approach to both tell our story and also acknowledge other players in the chain of events. The value added by science can easily be relayed to the scientific community, policy makers and the public. |
A cutaneous anthrax outbreak in Koraput District of Odisha-India 2015
Nayak P , Sodha SV , Laserson KF , Padhi AK , Swain BK , Hossain SS , Shrivastava A , Khasnobis P , Venkatesh SR , Patnaik B , Dash KC . BMC Public Health 2019 19 470 Background: Cutaneous anthrax in humans is associated with exposure to infected animals or animal products and has a case fatality rate of up to 20% if untreated. During May to June 2015, an outbreak of cutaneous anthrax was reported in Koraput district of Odisha, India, an area endemic for anthrax. We investigated the outbreak to identify risk factors and recommend control measures. Method: We defined a cutaneous anthrax case as skin lesions (e.g., papule, vesicle or eschar) in a person residing in Koraput district with illness onset between February 1 and July 15, 2015. We established active surveillance through a house to house survey to ascertain additional cases and conducted a 1:2 unmatched case control study to identify modifiable risk factors. In case control study, we included cases with illness onset between May 1 and July 15, 2015. We defined controls as neighbours of case without skin lesions since last 3 months. Ulcer exudates and rolled over swabs from wounds were processed in Gram stain in the Koraput district headquarter hospital laboratory. Result: We identified 81 cases (89% male; median age 38 years [range 5-75 years]) including 3 deaths (case fatality rate = 4%). Among 37 cases and 74 controls, illness was significantly associated with eating meat of ill cattle (OR: 14.5, 95% CI: 1.4-85.7) and with close handling of carcasses of ill animals such as burying, skinning, or chopping (OR: 342, 95% CI: 40.5-1901.8). Among 20 wound specimens collected, seven showed spore-forming, gram positive bacilli, with bamboo stick appearance suggestive of Bacillus anthracis. Conclusion: Our investigation revealed significant associations between eating and handling of ill animals and presence of anthrax-like organisms in lesions. We immediately initiated livestock vaccination in the area, educated the community on safe handling practices and recommended continued regular anthrax animal vaccinations to prevent future outbreaks. |
Implications of insecticide resistance for malaria vector control with long-lasting insecticidal nets: a WHO-coordinated, prospective, international, observational cohort study
Kleinschmidt I , Bradley J , Knox TB , Mnzava AP , Kafy HT , Mbogo C , Ismail BA , Bigoga JD , Adechoubou A , Raghavendra K , Cook J , Malik EM , Nkuni ZJ , Macdonald M , Bayoh N , Ochomo E , Fondjo E , Awono-Ambene HP , Etang J , Akogbeto M , Bhatt RM , Chourasia MK , Swain DK , Kinyari T , Subramaniam K , Massougbodji A , Oke-Sopoh M , Ogouyemi-Hounto A , Kouambeng C , Abdin MS , West P , Elmardi K , Cornelie S , Corbel V , Valecha N , Mathenge E , Kamau L , Lines J , Donnelly MJ . Lancet Infect Dis 2018 18 (6) 640-649 BACKGROUND: Scale-up of insecticide-based interventions has averted more than 500 million malaria cases since 2000. Increasing insecticide resistance could herald a rebound in disease and mortality. We aimed to investigate whether insecticide resistance was associated with loss of effectiveness of long-lasting insecticidal nets and increased malaria disease burden. METHODS: This WHO-coordinated, prospective, observational cohort study was done at 279 clusters (villages or groups of villages in which phenotypic resistance was measurable) in Benin, Cameroon, India, Kenya, and Sudan. Pyrethroid long-lasting insecticidal nets were the principal form of malaria vector control in all study areas; in Sudan this approach was supplemented by indoor residual spraying. Cohorts of children from randomly selected households in each cluster were recruited and followed up by community health workers to measure incidence of clinical malaria and prevalence of infection. Mosquitoes were assessed for susceptibility to pyrethroids using the standard WHO bioassay test. Country-specific results were combined using meta-analysis. FINDINGS: Between June 2, 2012, and Nov 4, 2016, 40 000 children were enrolled and assessed for clinical incidence during 1.4 million follow-up visits. 80 000 mosquitoes were assessed for insecticide resistance. Long-lasting insecticidal net users had lower infection prevalence (adjusted odds ratio [OR] 0.63, 95% CI 0.51-0.78) and disease incidence (adjusted rate ratio [RR] 0.62, 0.41-0.94) than did non-users across a range of resistance levels. We found no evidence of an association between insecticide resistance and infection prevalence (adjusted OR 0.86, 0.70-1.06) or incidence (adjusted RR 0.89, 0.72-1.10). Users of nets, although significantly better protected than non-users, were nevertheless subject to high malaria infection risk (ranging from an average incidence in net users of 0.023, [95% CI 0.016-0.033] per person-year in India, to 0.80 [0.65-0.97] per person year in Kenya; and an average infection prevalence in net users of 0.8% [0.5-1.3] in India to an average infection prevalence of 50.8% [43.4-58.2] in Benin). INTERPRETATION: Irrespective of resistance, populations in malaria endemic areas should continue to use long-lasting insecticidal nets to reduce their risk of infection. As nets provide only partial protection, the development of additional vector control tools should be prioritised to reduce the unacceptably high malaria burden. FUNDING: Bill & Melinda Gates Foundation, UK Medical Research Council, and UK Department for International Development. |
Sustained progress, but no room for complacency: Results of 2015 HIV estimations in India
Pandey A , Dhingra N , Kumar P , Sahu D , Reddy DCS , Narayan P , Raj Y , Sangal B , Chandra N , Nair S , Singh J , Chavan L , Srivastava DJ , Jha UM , Verma V , Kant S , Bhattacharya M , Swain P , Haldar P , Singh L , Bakkali T , Stover J , Ammassari S . Indian J Med Res 2017 146 (1) 83-96 BACKGROUND & OBJECTIVES: Evidence-based planning has been the cornerstone of India's response to HIV/AIDS. Here we describe the process, method and tools used for generating the 2015 HIV estimates and provide a summary of the main results. METHODS: Spectrum software supported by the UNAIDS was used to produce HIV estimates for India as a whole and its States/Union Territories. This tool takes into consideration the size and HIV prevalence of defined population groups and programme data to estimate HIV prevalence, incidence and mortality over time as well as treatment needs. RESULTS: India's national adult prevalence of HIV was 0.26 per cent in 2015. Of the 2.1 million people living with HIV/AIDS, the largest numbers were in Andhra Pradesh, Maharashtra and Karnataka. New HIV infections were an estimated 86,000 in 2015, reflecting a decline by around 32 per cent from 2007. The declining trend in incidence was mirrored in most States, though an increasing trend was detected in Assam, Chandigarh, Chhattisgarh, Gujarat, Sikkim, Tripura and Uttar Pradesh. AIDS-related deaths were estimated to be 67,600 in 2015, reflecting a 54 per cent decline from 2007. There were variations in the rate and trend of decline across India for this indicator also. INTERPRETATION & CONCLUSIONS: While key indicators measured through Spectrum modelling confirm success of the National AIDS Control Programme, there is no room for complacency as rising incidence trends in some geographical areas and population pockets remain the cause of concern. Progress achieved so far in responding to HIV/AIDS needs to be sustained to end the HIV epidemic. |
Variation in interoperability across clinical laboratories nationwide
Patel V , McNamara L , Dullabh P , Sawchuk ME , Swain M . Int J Med Inform 2017 108 175-184 Objective To characterize nationwide variation and factors associated with clinical laboratories’: (1) capabilities to send structured test results electronically to ordering practitioners’ EHR systems; and (2) their levels of exchange activity, as measured by whether they sent more than three-quarters of their test results as structured data to ordering practitioners’ EHR systems. Materials and methods A national survey of all independent and hospital laboratories was conducted in 2013. Using an analytic weighted sample of 9382 clinical laboratories, a series of logistic regression analyses were conducted to identify organizational and area characteristics associated with clinical laboratories’ exchange capability and activity. Results Hospital-based clinical laboratories (71%) and larger clinical laboratories (80%) had significantly higher levels of capability compared to independent (58%) and smaller laboratories (48%), respectively; though all had similar levels of exchange activity, with 30% of clinical laboratories sending 75% or more of their test results electronically. In multivariate analyses, hospital and the largest laboratories had 1.87 and 4.40 higher odds, respectively, of possessing the capability to send results electronically compared to independent laboratories (p < 0.001). Laboratories located in areas with a higher share of potential exchange partners had a small but significantly greater capability to send results electronically and higher levels of exchange activity(p < 0.05). Conclusion Clinical laboratories’ capability to exchange varied by size and type; however, all clinical laboratories had relatively low levels of exchange activity. The role of exchange partners potentially played a small but significant role in driving exchange capability and activity. |
Design of a study to determine the impact of insecticide resistance on malaria vector control: a multi-country investigation
Kleinschmidt I , Mnzava AP , Kafy HT , Mbogo C , Bashir AI , Bigoga J , Adechoubou A , Raghavendra K , Knox TB , Malik EM , Nkuni ZJ , Bayoh N , Ochomo E , Fondjo E , Kouambeng C , Awono-Ambene HP , Etang J , Akogbeto M , Bhatt R , Swain DK , Kinyari T , Njagi K , Muthami L , Subramaniam K , Bradley J , West P , Massougbodji A , Okê-Sopoh M , Hounto A , Elmardi K , Valecha N , Kamau L , Mathenge E , Donnelly MJ . Malar J 2015 14 282 BACKGROUND: Progress in reducing the malaria disease burden through the substantial scale up of insecticide-based vector control in recent years could be reversed by the widespread emergence of insecticide resistance. The impact of insecticide resistance on the protective effectiveness of insecticide-treated nets (ITN) and indoor residual spraying (IRS) is not known. A multi-country study was undertaken in Sudan, Kenya, India, Cameroon and Benin to quantify the potential loss of epidemiological effectiveness of ITNs and IRS due to decreased susceptibility of malaria vectors to insecticides. The design of the study is described in this paper. METHODS: Malaria disease incidence rates by active case detection in cohorts of children, and indicators of insecticide resistance in local vectors were monitored in each of approximately 300 separate locations (clusters) with high coverage of malaria vector control over multiple malaria seasons. Phenotypic and genotypic resistance was assessed annually. In two countries, Sudan and India, clusters were randomly assigned to receive universal coverage of ITNs only, or universal coverage of ITNs combined with high coverage of IRS. Association between malaria incidence and insecticide resistance, and protective effectiveness of vector control methods and insecticide resistance were estimated, respectively. RESULTS: Cohorts have been set up in all five countries, and phenotypic resistance data have been collected in all clusters. In Sudan, Kenya, Cameroon and Benin data collection is due to be completed in 2015. In India data collection will be completed in 2016. DISCUSSION: The paper discusses challenges faced in the design and execution of the study, the analysis plan, the strengths and weaknesses, and the possible alternatives to the chosen study design. |
Impact of awareness drives and community-based active tuberculosis case finding in Odisha, India
Parija D , Patra TK , Kumar AM , Swain BK , Satyanarayana S , Sreenivas A , Chadha VK , Moonan PK , Oeltmann JE . Int J Tuberc Lung Dis 2014 18 (9) 1105-7 India's Revised National Tuberculosis Control programme employs passive case detection. The new sputum smear-positive case detection rate is less than 70% in Odisha State. During April-June 2012, active case finding (ACF) was conducted through awareness drives and field-based tuberculosis (TB) screening in select communities with the lowest case detection rates. During the campaign, 240 sputum smear-positive TB cases were detected. The number of smear-positive cases detected increased by 11% relative to April-June 2011 in intervention communities compared to an 0.8% increase in non-intervention communities. ACF brought TB services closer to the community and increased TB case detection. |
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