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Clinical Cholera Surveillance Sensitivity in Bangladesh and Implications for Large-Scale Disease Control.
Hegde, Sonia T; Lee, Elizabeth C; Islam Khan, Ashraful; Lauer, Stephen A; Islam, Md Taufiqul; Rahman Bhuiyan, Taufiqur; Lessler, Justin; Azman, Andrew S; Qadri, Firdausi; Gurley, Emily S.
Afiliación
  • Hegde ST; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Lee EC; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Islam Khan A; Infectious Disease Division, icddr,b, Dhaka, Bangladesh.
  • Lauer SA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Islam MT; Infectious Disease Division, icddr,b, Dhaka, Bangladesh.
  • Rahman Bhuiyan T; Infectious Disease Division, icddr,b, Dhaka, Bangladesh.
  • Lessler J; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Azman AS; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Qadri F; Infectious Disease Division, icddr,b, Dhaka, Bangladesh.
  • Gurley ES; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
J Infect Dis ; 224(12 Suppl 2): S725-S731, 2021 12 20.
Article en En | MEDLINE | ID: mdl-34453539
BACKGROUND: A surveillance system that is sensitive to detecting high burden areas is critical for achieving widespread disease control. In 2014, Bangladesh established a nationwide, facility-based cholera surveillance system for Vibrio cholerae infection. We sought to measure the sensitivity of this surveillance system to detect cases to assess whether cholera elimination targets outlined by the Bangladesh national control plan can be adequately measured. METHODS: We overlaid maps of nationally representative annual V cholerae seroincidence onto maps of the catchment areas of facilities where confirmatory laboratory testing for cholera was conducted, and we identified its spatial complement as surveillance greyspots, areas where cases likely occur but go undetected. We assessed surveillance system sensitivity and changes to sensitivity given alternate surveillance site selection strategies. RESULTS: We estimated that 69% of Bangladeshis (111.7 million individuals) live in surveillance greyspots and that 23% (25.5 million) of these individuals live in areas with the highest V cholerae infection rates. CONCLUSIONS: The cholera surveillance system in Bangladesh has the ability to monitor progress towards cholera elimination goals among 31% of the country's population, which may be insufficient for accurately measuring progress. Increasing surveillance coverage, particularly in the highest risk areas, should be considered.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vibrio cholerae / Cólera / Vigilancia en Salud Pública Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: J Infect Dis Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vibrio cholerae / Cólera / Vigilancia en Salud Pública Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: J Infect Dis Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos