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Nature medicine · 2024

Clinical surveillance systems obscure the true cholera infection burden in an endemic region.

СтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод в очереди
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Hegde Sonia T, Khan Ashraful Islam, Perez-Saez Javier, Khan Ishtiakul Islam, Hulse Juan Dent, Islam Md Taufiqul, Khan Zahid Hasan, Ahmed Shakeel, Bertuna Taner, Rashid Mamunur, Rashid Rumana, Hossain Md Zakir, Shirin Tahmina, Wiens Kirsten E, Gurley Emily S, Bhuiyan Taufiqur Rahman, Qadri Firdausi, Azman Andrew S

Аннотация

Our understanding of cholera transmission and burden largely relies on clinic-based surveillance, which can obscure trends, bias burden estimates and limit the impact of targeted cholera-prevention measures. Serological surveillance provides a complementary approach to monitoring infections, although the link between serologically derived infections and medically attended disease incidence-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. Combining the serological trajectories with a reconstructed incidence timeline of symptomatic cholera, we estimated an annual Vibrio cholerae O1 infection incidence rate of 535 per 1,000 population (95% credible interval 514-556), with incidence increasing by age group. Clinic-based surveillance alone underestimated the number of infections and reported cases were not consistently correlated with infection timing. Of the infections, 4 in 3,280 resulted in symptoms, only 1 of which was reported through the surveillance system. These results impart insights into cholera transmission dynamics and burden in the epicenter of the seventh cholera pandemic, where >50% of our study population had an annual V. cholerae O1 infection, and emphasize the potential for a biased view of disease burden and infection risk when depending solely on clinical surveillance data.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты