Evidence map›Paper›PMID 39357915›Full record

SynthesisBMJ global health2024

Projected impact of climate change on human health in low- and middle-income countries: a systematic review.

Gaia Bianco, Rocío M Espinoza-Chávez, Paul G Ashigbie, Hiyas Junio, Cameron Borhani, Stephanie Miles-Richardson, Jonathan Spector

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gaia BiancoBiomedical Research, Novartis, Basel, Switzerland.
Rocío M Espinoza-ChávezUniversidad Científica del Sur, Lima, Peru.
Paul G AshigbieBiomedical Research, Novartis, Cambridge, Massachusetts, USA paul.ashigbie@novartis.com.ORCID http://orcid.org/0000-0001-8221-6785
Hiyas JunioUniversity of the Philippines, Diliman, Philippines.
Cameron BorhaniGlobal Health and Sustainability, Novartis, Basel, Switzerland.
Stephanie Miles-RichardsonDepartment of Public Health Education, Morehouse School of Medicine, Atlanta, Georgia, USA.
Jonathan SpectorBiomedical Research, Novartis, Cambridge, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low- and middle-income countries (LMICs) contribute relatively little to global carbon emissions but are recognised to be among the most vulnerable parts of the world to health-related consequences of climate change. To help inform resilient health systems and health policy strategies, we sought to systematically analyse published projections of the impact of rising global temperatures and other weather-related events on human health in LMICs. A systematic search involving multiple databases was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify studies with modelled projections of the future impact of climate change on human health. Qualitative studies, reviews and meta-analyses were excluded. The search yielded more than 2500 articles, of which 70 studies involving 37 countries met criteria for inclusion. China, Brazil and India were the most studied countries while the sub-Saharan African region was represented in only 9% of studies. Forty specific health outcomes were grouped into eight categories. Non-disease-specific temperature-related mortality was the most studied health outcome, followed by neglected tropical infections (predominantly dengue), malaria and cardiovascular diseases. Nearly all health outcomes studied were projected to increase in burden and/or experience a geographic shift in prevalence over the next century due to climate change. Progressively severe climate change scenarios were associated with worse health outcomes. Knowledge gaps identified in this analysis included insufficient studies of various high burden diseases, asymmetric distribution of studies across LMICs and limited use of some climate parameters as independent variables. Findings from this review could be the basis for future research to help inform climate mitigation and adaptation programmes aimed at safeguarding population health in LMICs.

Indexed as

Climate ChangeDeveloping CountriesHumansEnvironmental healthEpidemiologyGlobal HealthInfections, diseases, disorders, injuriesSystematic review

Identifiers

PMID39357915
PMCPMC11733072

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.