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Estimating the gap between clinical cholera and true community infections: findings from an integrated surveillance study in an endemic region of Bangladesh.
Hegde, Sonia; Khan, Ashraf Islam; Perez-Saez, Javier; Khan, Ishtiakul Islam; Hulse, Juan Dent; Islam, Md Taufiqul; Khan, Zahid Hasan; Ahmed, Shakeel; Bertuna, Taner; Rashid, Mamunur; Rashid, Rumuna; Hossain, Md Zakir; Shirin, Tahmina; Wiens, Kirsten; Gurley, Emily S; Bhuiyan, Taufiqur Rahman; Qadri, Firdausi; Azman, Andrew S.
Afiliación
  • Hegde S; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Khan AI; icddr,b, Dhaka, Bangladesh.
  • Perez-Saez J; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Khan II; Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland.
  • Hulse JD; icddr,b, Dhaka, Bangladesh.
  • Islam MT; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Khan ZH; icddr,b, Dhaka, Bangladesh.
  • Ahmed S; icddr,b, Dhaka, Bangladesh.
  • Bertuna T; Bangladesh Institute of Tropical and Infectious Diseases, Chattogram, Bangladesh.
  • Rashid M; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Rashid R; Bangladesh Institute of Tropical and Infectious Diseases, Chattogram, Bangladesh.
  • Hossain MZ; Bangladesh Institute of Tropical and Infectious Diseases, Chattogram, Bangladesh.
  • Shirin T; Bangladesh Institute of Tropical and Infectious Diseases, Chattogram, Bangladesh.
  • Wiens K; Institute of Epidemiology, Disease Control and Research, Dhaka, Bangladesh.
  • Gurley ES; Department of Epidemiology, Temple University, Philadelphia, USA.
  • Bhuiyan TR; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Qadri F; icddr,b, Dhaka, Bangladesh.
  • Azman AS; icddr,b, Dhaka, Bangladesh.
medRxiv ; 2023 Jul 23.
Article en En | MEDLINE | ID: mdl-37502941
ABSTRACT
Our understanding of cholera transmission and burden largely rely on clinic-based surveillance, which can obscure trends, bias burden estimates and limit the impact of targeted cholera-prevention measures. Serologic surveillance provides a complementary approach to monitoring infections, though the link between serologically-derived infections and medically-attended disease - shaped by immunological, behavioral, and clinical factors - remains poorly understood. We unravel this cascade in a cholera-endemic Bangladeshi community by integrating clinic-based surveillance, healthcare seeking, and longitudinal serological data through statistical modeling. We found >50% of the study population had a V. cholerae O1 infection annually, and infection timing was not consistently correlated with reported cases. Four in 2,340 infections resulted in symptoms, only one of which was reported through the surveillance system. These results provide new insights into cholera transmission dynamics and burden in the epicenter of the 7th cholera pandemic and provide a framework to synthesize serological and clinical surveillance data.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos