Evidence mapPaperPMID 40458106Full record

ArticleFrontiers in public health2025

Collective learning for resilience in Global South cities: a community-based systems mapping approach to integrated climate and health action.

Lidia Maria de Oliveira Morais, Elis Borde, Lambed Tatah, Meelan Thondoo, Feyisayo A Wayas, Georgiana Gordon-Strachan, Charles Obonyo, Felix Assah, Tolu Oni, Waleska Teixeira Caiaffa and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Article
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

11 authors.

Lidia Maria de Oliveira MoraisObservatory for Urban Health in Belo Horizonte, Federal University of Minas Gerais (OSUBH/UFMG), Belo Horizonte, Brazil.
Elis BordeObservatory for Urban Health in Belo Horizonte, Federal University of Minas Gerais (OSUBH/UFMG), Belo Horizonte, Brazil.
Lambed TatahMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Meelan ThondooMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Feyisayo A WayasResearch Centre for Health through Physical Activity, Lifestyle and Sport, Division of Physiological Sciences, Faculty of Health Sciences, Department of Human Biology, University of Cape Town, Cape Town, South Africa.
Georgiana Gordon-StrachanTropical Metabolism Research Unit, Caribbean Institute for Health Research, University of West Indies, Kingston, Jamaica.
Charles ObonyoCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Felix AssahHealth of Population in Transition Research Group, University of Yaoundé I, Yaoundé, Cameroon.
Tolu OniMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Waleska Teixeira CaiaffaObservatory for Urban Health in Belo Horizonte, Federal University of Minas Gerais (OSUBH/UFMG), Belo Horizonte, Brazil.
Leandro GarciaCentre for Public Health, Queen's University Belfast, Belfast, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cities in the Global South face escalating climate change challenges, including extreme weather events that disproportionately affect marginalized populations and exacerbate health risks, such as non-communicable diseases (NCDs). Climate resilience, defined as the capacity to adapt and recover from climate-related events, requires intersectoral collaboration between governments and civil society. Methods: This study employs a Community-based System Dynamics approach, leveraging shared learning across four cities-Belo Horizonte (BH, Brazil), Yaoundé (Cameroon), Kingston (Jamaica), and Kisumu (Kenya)-through the Global Diet and Activity Research Network (GDAR). An implementation of the method in BH is detailed, examining drivers and interdependencies shaping community-based climate resilience strategies against heavy rainfalls. Results: In BH, findings highlight the interplay between urbanization risks, vulnerabilities, heavy rainfall, and NCDs, with visibility, resources, education, and training identified as critical intervention points. Conclusion: This study underscores the importance of aligning community action with public policy and highlights opportunities for collective learning and resilience-building for climate change in Global South cities.

Indexed as

Climate ChangeCommunity ParticipationBrazilCitiesHumansNoncommunicable Diseasesclimate changeclimate resilienceCommunity-based System Dynamicscomplex systemsGlobal Southintersectoralitytransdisciplinarityurban health

Identifiers

PMID40458106
PMCPMC12127423

What Socratic holds

Textmetadata
LicenceCC BY
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.