Evidence map›Paper›PMID 34992079›Full record

ArticleBMJ global health2022

Co-learning during the co-creation of a dengue early warning system for the health sector in Barbados.

Anna M Stewart-Ibarra, Leslie Rollock, Sabu Best, Tia Brown, Avriel R Diaz, Willy Dunbar, Catherine A Lippi, Roché Mahon, Sadie J Ryan, Adrian Trotman and 2 more

Abstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. 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

12 authors.

Anna M Stewart-IbarraInter-American Institute For Global Change Research, Montevideo, Uruguay astewart@dir.iai.int.ORCID 0000-0002-3383-4672
Leslie RollockMinistry of Health and Wellness, St. Michael, Barbados.
Sabu BestBarbados Meteorological Services, Christ Church, Barbados.
Tia BrownBarbados Meteorological Services, Christ Church, Barbados.
Avriel R DiazInternational Research Institute for Climate and Society (IRI), Columbia University's Climate School, New York, New York, USA.
Willy DunbarDepartment of Health Promotion and Disease Prevention, Florida International University, Miami, Florida, USA.
Catherine A LippiDepartment of Geography and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-7988-0324
Roché MahonCaribbean Institute for Meteorology and Hydrology, Bridgetown, Parish of Saint Michael, Barbados.
Sadie J RyanDepartment of Geography and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-4308-6321
Adrian TrotmanCaribbean Institute for Meteorology and Hydrology, Bridgetown, Parish of Saint Michael, Barbados.
Cedric J Van MeerbeeckCaribbean Institute for Meteorology and Hydrology, Bridgetown, Parish of Saint Michael, Barbados.
Rachel LoweCentre on Climate Change & Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0003-3939-7343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, the Caribbean region has been challenged by compound climate and health hazards, including tropical storms, extreme heat and droughts and overlapping epidemics of mosquito-borne diseases, including dengue, chikungunya and Zika. Early warning systems (EWS) are a key climate change adaptation strategy for the health sector. An EWS can integrate climate information in forecasting models to predict the risk of disease outbreaks several weeks or months in advance. In this article, we share our experiences of co-learning during the process of co-creating a dengue EWS for the health sector in Barbados, and we discuss barriers to implementation as well as key opportunities. This process has involved bringing together health and climate practitioners with transdisciplinary researchers to jointly identify needs and priorities, assess available data, co-create an early warning tool, gather feedback via national and regional consultations and conduct trainings. Implementation is ongoing and our team continues to be committed to a long-term process of collaboration. Developing strong partnerships, particularly between the climate and health sectors in Barbados, has been a critical part of the research and development. In many countries, the national climate and health sectors have not worked together in a sustained or formal manner. This collaborative process has purposefully pushed us out of our comfort zone, challenging us to venture beyond our institutional and disciplinary silos. Through the co-creation of the EWS, we anticipate that the Barbados health system will be better able to mainstream climate information into decision-making processes using tailored tools, such as epidemic forecast reports, risk maps and climate-health bulletins, ultimately increasing the resilience of the health system.

Indexed as

DengueZika VirusZika Virus InfectionAnimalsBarbadosDisease OutbreaksHumansdengueenvironmental healthhealth policies and all other topicshealth systemsprevention strategies

Identifiers

PMID34992079
PMCPMC8739055

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.