Expected annual probability of infection: A flood-risk approach to waterborne infectious diseases.

Expected annual probability of infection Flood risk analysis Infection diseases Urban floods V. cholerae

Journal

Water research
ISSN: 1879-2448
Titre abrégé: Water Res
Pays: England
ID NLM: 0105072

Informations de publication

Date de publication:
01 Jul 2022
Historique:
received: 03 03 2022
revised: 26 04 2022
accepted: 05 05 2022
pubmed: 17 5 2022
medline: 9 6 2022
entrez: 16 5 2022
Statut: ppublish

Résumé

This study introduces a new approach for the investigation of infections after an accidental ingestion of contaminated floodwater. The concept of Expected Annual Probability of Infection (EAPI) is introduced and implemented in an infection risk-model approach, by combining a Quantitative Microbial Risk Assessment (QMRA) with the four steps in flood risk assessment. Two groups and exposure paths are considered: adults wading in floodwater and small children swimming/playing in floodwater. The study area is located in Ghana, West Africa. Even though Ghana is one of the most urbanized countries in Africa it has significant problems with water resources management and public health. While cholera is classified as endemic in Accra, the natural and human-made characteristics of the capital makes it prone to flooding. The results of the EAPI approach show that on one hand the concentration of pathogens in floodwater, and thus the risk of infection, decreases with the increase of the flood magnitude. On the other hand, larger floods can spread the pathogens further from the point source, threatening populations previously not identified as at risk by small-scale floods. The concept of EAPI is demonstrated for cholera but it can be extended to other waterborne diseases and also different pathways of exposure, requiring minimal adaptations. For future applications, better estimation of EAPI key components and improvement points are discussed and recommendations given for all the assessment steps.

Identifiants

pubmed: 35576764
pii: S0043-1354(22)00514-0
doi: 10.1016/j.watres.2022.118561
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

118561

Informations de copyright

Copyright © 2022. Published by Elsevier Ltd.

Auteurs

Jorge Leandro (J)

Chair of Hydromechanics and Hydraulic Engineering, Research Institute for Water and Environment, Faculty IV School of Science and Technology, University of Siegen, Paul-Bonatz-Str. 9-11, Siegen 57068, Germany. Electronic address: jorge.leandro@uni-siegen.de.

Carolina I Hotta (CI)

Chair of Hydrology and River Basin Management, Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Arcisstrasse 21, Munich 80333, Germany.

Thaiza Alvarenga Pinto (TA)

Chair of Hydrology and River Basin Management, Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Arcisstrasse 21, Munich 80333, Germany.

Divine Kwaku Ahadzie (DK)

Center for Settlements Studies, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

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Classifications MeSH