Integrating wastewater surveillance and meteorological data to monitor seasonal variability of enteric and respiratory pathogens for infectious disease control in Dhaka city.

Jahan, F; Nasim, MI; Wang, Y; Kamrul Bashar, SM; Hasan, R; Suchana, AJ; Amin, N; Haque, R; Hares, MA; Saha, A; Hossain, ME; Rahman, MZ; Diamond, M; Raj, S; Hilton, SP; Liu, P; Moe, C; Rahman, M

Integrating wastewater surveillance and meteorological data to monitor seasonal variability of enteric and respiratory pathogens for infectious disease control in Dhaka city.

Jahan, F Nasim, MI Wang, Y Kamrul Bashar, SM Hasan, R Suchana, AJ Amin, N Haque, R Hares, MA Saha, A Hossain, ME Rahman, MZ Diamond, M Raj, S Hilton, SP Liu, P Moe, C Rahman, M

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Int J Hyg Environ Health, 2025, 267, pp. 114591
Issue Date:: 2025-06

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Field	Value	Language
dc.contributor.author	Jahan, F
dc.contributor.author	Nasim, MI
dc.contributor.author	Wang, Y
dc.contributor.author	Kamrul Bashar, SM
dc.contributor.author	Hasan, R
dc.contributor.author	Suchana, AJ
dc.contributor.author	Amin, N
dc.contributor.author	Haque, R
dc.contributor.author	Hares, MA
dc.contributor.author	Saha, A
dc.contributor.author	Hossain, ME
dc.contributor.author	Rahman, MZ
dc.contributor.author	Diamond, M
dc.contributor.author	Raj, S
dc.contributor.author	Hilton, SP
dc.contributor.author	Liu, P
dc.contributor.author	Moe, C
dc.contributor.author	Rahman, M
dc.date.accessioned	2025-10-15T03:54:51Z
dc.date.available	2025-05-02
dc.date.available	2025-10-15T03:54:51Z
dc.date.issued	2025-06
dc.identifier.citation	Int J Hyg Environ Health, 2025, 267, pp. 114591
dc.identifier.issn	1438-4639
dc.identifier.issn	1618-131X
dc.identifier.uri	http://hdl.handle.net/10453/190420
dc.description.abstract	BACKGROUND: 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. METHODS: 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. RESULTS: 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 < 0.001). S. Typhi and rotavirus log10 concentrations showed negative associations with pre-monsoon (coef: -0.96; 95 % CI: -1.68 to -0.27; p = 0.011, and -0.84; 95 % CI: -1.17 to -0.50; p < 0.001, respectively). Temperature positively influenced log10 concentrations of V. cholerae (adj. coef: 0.09; 95 % CI: 0.02 to 0.15; p = 0.014) and SARS-CoV-2 (adj. coef: 0.19; 95 % CI: 0.10 to 0.27; p < 0.001), but negatively associated with rotavirus (adj. coef: -0.06; 95 % CI: -0.10 to -0.03; p < 0.001). Similar associations were found between pathogen-positive samples and temperature. CONCLUSION: Our study shows that seasonal, and meteorological factors (particularly temperature) influence the patterns and abundance of pathogens in wastewater and help in understanding disease transmission across different weather patterns.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier
dc.relation.ispartof	Int J Hyg Environ Health
dc.relation.isbasedon	10.1016/j.ijheh.2025.114591
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1117 Public Health and Health Services
dc.subject.classification	Epidemiology
dc.subject.classification	Toxicology
dc.subject.classification	4202 Epidemiology
dc.subject.classification	4206 Public health
dc.subject.mesh	Bangladesh
dc.subject.mesh	Seasons
dc.subject.mesh	Wastewater
dc.subject.mesh	Humans
dc.subject.mesh	SARS-CoV-2
dc.subject.mesh	Vibrio cholerae
dc.subject.mesh	COVID-19
dc.subject.mesh	Rotavirus
dc.subject.mesh	Salmonella typhi
dc.subject.mesh	Cholera
dc.subject.mesh	Cities
dc.subject.mesh	Communicable Disease Control
dc.subject.mesh	Diarrhea
dc.subject.mesh	Meteorological Concepts
dc.subject.mesh	Humans
dc.subject.mesh	Salmonella typhi
dc.subject.mesh	Vibrio cholerae
dc.subject.mesh	Rotavirus
dc.subject.mesh	Cholera
dc.subject.mesh	Diarrhea
dc.subject.mesh	Cities
dc.subject.mesh	Seasons
dc.subject.mesh	Communicable Disease Control
dc.subject.mesh	Bangladesh
dc.subject.mesh	Meteorological Concepts
dc.subject.mesh	COVID-19
dc.subject.mesh	SARS-CoV-2
dc.subject.mesh	Wastewater
dc.subject.mesh	Bangladesh
dc.subject.mesh	Seasons
dc.subject.mesh	Wastewater
dc.subject.mesh	Humans
dc.subject.mesh	SARS-CoV-2
dc.subject.mesh	Vibrio cholerae
dc.subject.mesh	COVID-19
dc.subject.mesh	Rotavirus
dc.subject.mesh	Salmonella typhi
dc.subject.mesh	Cholera
dc.subject.mesh	Cities
dc.subject.mesh	Communicable Disease Control
dc.subject.mesh	Diarrhea
dc.subject.mesh	Meteorological Concepts
dc.title	Integrating wastewater surveillance and meteorological data to monitor seasonal variability of enteric and respiratory pathogens for infectious disease control in Dhaka city.
dc.type	Journal Article
utslib.citation.volume	267
utslib.location.activity	Germany
utslib.for	1117 Public Health and Health Services
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/DVC (Research)
pubs.organisational-group	University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2025-10-15T03:54:45Z
pubs.publication-status	Published
pubs.volume	267

Abstract:

BACKGROUND: 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. METHODS: 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. RESULTS: 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 < 0.001). S. Typhi and rotavirus log10 concentrations showed negative associations with pre-monsoon (coef: -0.96; 95 % CI: -1.68 to -0.27; p = 0.011, and -0.84; 95 % CI: -1.17 to -0.50; p < 0.001, respectively). Temperature positively influenced log10 concentrations of V. cholerae (adj. coef: 0.09; 95 % CI: 0.02 to 0.15; p = 0.014) and SARS-CoV-2 (adj. coef: 0.19; 95 % CI: 0.10 to 0.27; p < 0.001), but negatively associated with rotavirus (adj. coef: -0.06; 95 % CI: -0.10 to -0.03; p < 0.001). Similar associations were found between pathogen-positive samples and temperature. CONCLUSION: Our study shows that seasonal, and meteorological factors (particularly temperature) influence the patterns and abundance of pathogens in wastewater and help in understanding disease transmission across different weather patterns.

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http://hdl.handle.net/10453/190420