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A systematic review investigating emerging trends between Extreme Weather Events (EWEs) and infectious disease outbreaks in South Africa

  • Natalie Dickinson
  • , Llinos Haf Spencer
  • , Caroline Miller
  • , Nisha Nadesan-Reddy
  • , Serestina Viriri
  • , Muhammad Zeeshan Shakir
  • , Michael Gebreslasie
  • , David Ndzi
  • , Ozayr Haroon Mahomed
  • , Saloshni Naidoo
  • , Mary Lynch
  • , Fiona Luisa Henriquez

Research output: Contribution to journalReview articlepeer-review

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Abstract

Introduction: Extreme weather events (EWEs) are increasing in frequency and intensity due to climate change, exacerbating health risks, particularly for vulnerable populations. Infectious diseases are climate-sensitive, yet microbial dynamics during and after EWEs remain poorly understood. This systematic review examines if there are emerging trends and associations in infectious disease outbreaks and health care following EWEs in South Africa.

Methods: A comprehensive search across fifteen electronic databases was conducted using Cochrane systematic review principles, including double screening and double extraction. Studies describing outbreaks of infectious diseases related to EWEs in South Africa were included, considering all study designs. A PRISMA diagram details the screening process, and quality appraisal was conducted using JBI checklist tools or a mixed-methods assessment tool.

Results: The review did not identify any primary studies that explicitly examined the presence of specific pathogens contaminating the environment in relation to EWEs in South Africa. Instead, the available literature predominantly focused on clinical symptom patterns or broader syndromic descriptions, with limited attention to pathogen-specific detection or characterisation. This highlights a significant evidence gap in microbial-level assessments of how EWEs influence environmental contamination. However, findings indicate the presence of infectious diseases post-EWEs, with three key themes emerging: (1) climate variables, (2) population vulnerabilities, and (3) policy effects. The review highlights the need for longitudinal microbiological data to improve outbreak prediction and preparedness.

Discussion: This review underscores a significant research gap and calls for an integrated approach combining environmental monitoring with pathogen diagnostics. Large-scale longitudinal studies and enhanced collaboration public health, environmental surveillance, laboratory capacity, and disaster preparedness are needed. Early Warning Systems should incorporate climate variables to predict disease outbreaks, addressing the limited diagnostics, lack of environmental microbiology, fragmented surveillance data effectively.
Original languageEnglish
Article number1778784
Number of pages12
JournalFrontiers in Public Health
Volume14
DOIs
Publication statusPublished - 16 Mar 2026

Funding

The author(s) declared that financial support was received for this work and/or its publication. This study was supported by Research and Innovation for Global Health Transformation National Institute for Health and Care Research (NIHR) award (NIHR204825).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • drought
  • pathogens
  • South Africa
  • early warning system
  • floods
  • community health
  • extreme weather events
  • health system resilience
  • animals
  • sheep
  • humans
  • communicable diseases
  • disease outbreaks
  • female
  • climate change
  • extreme weather

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