Last data update: Apr 28, 2025. (Total: 49156 publications since 2009)
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SARS-CoV-2 prevalence in Malawi based on data from survey of communities and health workers in 5 high-burden districts, October 2020
Theu JA , Kabaghe AN , Bello G , Chitsa-Banda E , Kagoli M , Auld A , Mkungudza J , O'Malley G , Bangara FF , Peacocke EF , Babaye Y , Ng'ambi W , Saussier C , MacLachlan E , Chapotera G , Phiri MD , Kim E , Chiwaula M , Payne D , Wadonda-Kabondo N , Chauma-Mwale A , Divala TH . Emerg Infect Dis 2022 28 (13) S76-s84 To determine early COVID-19 burden in Malawi, we conducted a multistage cluster survey in 5 districts. During October-December 2020, we recruited 5,010 community members (median age 32 years, interquartile range 21-43 years) and 1,021 health facility staff (HFS) (median age 35 years, interquartile range 28-43 years). Real-time PCR-confirmed SARS-CoV-2 infection prevalence was 0.3% (95% CI 0.2%-0.5%) among community and 0.5% (95% CI 0.1%-1.2%) among HFS participants; seroprevalence was 7.8% (95% CI 6.3%-9.6%) among community and 9.7% (95% CI 6.4%-14.5%) among HFS participants. Most seropositive community (84.7%) and HFS (76.0%) participants were asymptomatic. Seroprevalence was higher among urban community (12.6% vs. 3.1%) and HFS (14.5% vs. 7.4%) than among rural community participants. Cumulative infection findings 113-fold higher from this survey than national statistics (486,771 vs. 4,319) and predominantly asymptomatic infections highlight a need to identify alternative surveillance approaches and predictors of severe disease to inform national response. |
Geospatial transmission hotspots of recent HIV infection - Malawi, October 2019-March 2020
Telford CT , Tessema Z , Msukwa M , Arons MM , Theu J , Bangara FF , Ernst A , Welty S , O'Malley G , Dobbs T , Shanmugam V , Kabaghe A , Dale H , Wadonda-Kabondo N , Gugsa S , Kim A , Bello G , Eaton JW , Jahn A , Nyirenda R , Parekh BS , Shiraishi RW , Kim E , Tobias JL , Curran KG , Payne D , Auld AF . MMWR Morb Mortal Wkly Rep 2022 71 (9) 329-334 Persons infected with HIV are more likely to transmit the virus during the early stages (acute and recent) of infection, when viral load is elevated and opportunities to implement risk reduction are limited because persons are typically unaware of their status (1,2). Identifying recent HIV infections (acquired within the preceding 12 months)* is critical to understanding the factors and geographic areas associated with transmission to strengthen program intervention, including treatment and prevention (2). During June 2019, a novel recent infection surveillance initiative was integrated into routine HIV testing services in Malawi, a landlocked country in southeastern Africa with one of the world's highest prevalences of HIV infection.(†) The objectives of this initiative were to collect data on new HIV diagnoses, characterize the epidemic, and guide public health response (2). New HIV diagnoses were classified as recent infections based on a testing algorithm that included results from the rapid test for recent infection (RTRI)(§) and HIV viral load testing (3,4). Among 9,168 persons aged ≥15 years with a new HIV diagnosis who received testing across 103 facilities during October 2019-March 2020, a total of 304 (3.3%) were classified as having a recent infection. Higher proportions of recent infections were detected among females, persons aged <30 years, and clients at maternal and child health and youth clinics. Using a software application that analyzes clustering in spatially referenced data, transmission hotspots were identified with rates of recent infection that were significantly higher than expected. These near real-time HIV surveillance data highlighted locations across Malawi, allowing HIV program stakeholders to assess program gaps and improve access to HIV testing, prevention, and treatment services. Hotspot investigation information could be used to tailor HIV testing, prevention, and treatment to ultimately interrupt transmission. |
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