Publication date: May 21, 2025
Seasonal meteorological variations influence the spread of infectious diseases. Wastewater surveillance helps understanding pathogen transmission dynamics, particularly in urban areas of climate-vulnerable countries like Bangladesh. We analysed 54 weeks of wastewater surveillance, clinical surveillance, and meteorological data from Dhaka, Bangladesh. Samples from 11 sites were tested for Vibrio cholerae (V. cholerae), SARS-CoV-2, Salmonella enterica subspecies enterica serovar Typhi (S. Typhi), and Group A rotavirus. Diarrhoeal Disease Surveillance data were sourced from icddr,b, and meteorological data from the Bangladesh Meteorological Department. Regression models adjusted for site and time variations were used for statistical analysis. Proportion of confirmed cholera cases among the diarrhoeal disease surveillance recruits were highest during post-monsoon (coef: 2. 53; 95 % CI: 0. 41 to 4. 67; p = 0. 029). V. cholerae log10 concentrations in wastewater were positively associated with pre-monsoon (coef: 0. 93; 95 % CI: 0. 26 to 1. 58; p = 0. 010), while SARS-CoV-2 peaked during monsoon (coef: 1. 85; 95 % CI: 0. 96 to 2. 73; p
Concepts | Keywords |
---|---|
Dhaka | Infectious agents |
Diarrhoeal | Meteorological factors |
Salmonella | Pathogen dynamics |
Surveillance | Seasonal variations |
Wastewater surveillance |
Semantics
Type | Source | Name |
---|---|---|
disease | MESH | infectious disease |
pathway | REACTOME | Infectious disease |
disease | MESH | pathogen transmission |
disease | IDO | site |
disease | MESH | cholera |
disease | IDO | pathogen |