Evidence map›Paper›PMID 40632705›Full record

ArticlePloS one2025

Evaluation of the social and economic impact of extreme weather events in people living with HIV in KwaZulu-Natal, South Africa (S3E project): Protocol for a mixed-method study.

Saeideh Babashahi, Kingsley Orievulu, Ekeminiabasi Eyita-Okon, Dominic Kniveton, Collins Iwuji

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Saeideh BabashahiDepartment of Global Health and Infection, Brighton and Sussex Medical School, University of Brighton and University of Sussex, Brighton, United Kingdom.ORCID https://orcid.org/0000-0003-2204-2028
Kingsley OrievuluAfrica Health Research Institute, Durban, South Africa.
Ekeminiabasi Eyita-OkonWits School of Governance, University of Witwatersrand, Johannesburg, South Africa.
Dominic KnivetonSchool of Global Studies, University of Sussex, Brighton, United Kingdom.
Collins IwujiDepartment of Global Health and Infection, Brighton and Sussex Medical School, University of Brighton and University of Sussex, Brighton, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impacts of extreme weather events (EWEs), such as droughts and floods, continue to be felt inequitably and disproportionately, with vulnerable communities experiencing diverse effects. While more is known about the direct impacts of EWEs on the general population, there is limited quantified evidence regarding the indirect socioeconomic impacts of climate-driven EWEs on vulnerable sub-populations such as people living with HIV (PLHIV). Globally, South Africa has the largest number of PLHIV, who by the nature of their medical needs and the stigma around their disease burden, have different vulnerability profiles to the wider population. KwaZulu-Natal province, which recorded the second-highest burden of HIV in South Africa, has been hit hard by recurrent floods in recent years. This study aims to evaluate the social and economic impacts of recent floods on PLHIV in the province and co-develop a priority list of policy interventions that would address and minimise flood impacts among PLHIV. This study involves three objectives, and a combination of qualitative thematic analysis and economic assessment will be applied to investigate the socioeconomic impacts of the recent floods in PLHIV across two rural districts in South Africa. The study will apply a mixed-methods exposed-unexposed approach to assess the impacts of recent floods on PLHIV concerning treatment adherence, healthcare use, out-of-pocket expenses, coping mechanisms, work productivity loss, and other economic losses. An equity impact analysis will be conducted to examine how the socioeconomic impacts of floods are distributed disproportionately within the study sample. A priority list of policy interventions will be co-developed to minimise the impacts of floods using participatory research methods and multi-criteria decision analysis. Using a novel mixed-methods approach, this study contributes to understanding the social and economic impacts of recent floods on PLHIV and co-produces a list of adaptive and mitigation policy interventions to address these impacts.

Indexed as

Extreme WeatherHIV InfectionsFemaleFloodsHumansSocioeconomic FactorsSouth Africa

Identifiers

PMID40632705
PMCPMC12240297

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.