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Pathogens (Basel, Switzerland)
Aug 14, 2024;13 (8):

Advancing Public Health Surveillance: Integrating Modeling and GIS in the Wastewater-Based Epidemiology of Viruses, a Narrative Review.

Diego F Cuadros, Xi Chen, Jingjing Li, Ryosuke Omori, Godfrey Musuka
Author Information
  1. Diego F Cuadros: Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH 41221, USA. ORCID
  2. Xi Chen: Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH 41221, USA. ORCID
  3. Jingjing Li: Department of Land Resources Management, China University of Geosciences, Wuhan 430074, China.
  4. Ryosuke Omori: Division of Bioinformatics, International Institute for Zoonosis Control, Hokkaido University, Sapporo 002-8501, Japan.
  5. Godfrey Musuka: International Initiative for Impact Evaluation, Harare 0002, Zimbabwe. ORCID
PMID: 39204285 DOI: 10.3390/pathogens13080685

Abstract

This review article will present a comprehensive examination of the use of modeling, spatial analysis, and geographic information systems (GIS) in the surveillance of viruses in wastewater. With the advent of global health challenges like the COVID-19 pandemic, wastewater surveillance has emerged as a crucial tool for the early detection and management of viral outbreaks. This review will explore the application of various modeling techniques that enable the prediction and understanding of virus concentrations and spread patterns in wastewater systems. It highlights the role of spatial analysis in mapping the geographic distribution of viral loads, providing insights into the dynamics of virus transmission within communities. The integration of GIS in wastewater surveillance will be explored, emphasizing the utility of such systems in visualizing data, enhancing sampling site selection, and ensuring equitable monitoring across diverse populations. The review will also discuss the innovative combination of GIS with remote sensing data and predictive modeling, offering a multi-faceted approach to understand virus spread. Challenges such as data quality, privacy concerns, and the necessity for interdisciplinary collaboration will be addressed. This review concludes by underscoring the transformative potential of these analytical tools in public health, advocating for continued research and innovation to strengthen preparedness and response strategies for future viral threats. This article aims to provide a foundational understanding for researchers and public health officials, fostering advancements in the field of wastewater-based epidemiology.

Keywords

COVID-19 geographic information systems mathematical modeling public health surveillance remote sensing wastewater-based epidemiology

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MeSH Term

Humans
Geographic Information Systems
Wastewater
COVID-19
Public Health Surveillance
SARS-CoV-2
Viruses
Wastewater-Based Epidemiological Monitoring
Public Health

Chemicals

Wastewater
Journal Article Review
Article has an altmetric score of 3

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