Evidence map›Paper›PMID 39930987›Full record

ArticleGlobal health action2025

A study protocol for developing a spatial vulnerability index for infectious diseases of poverty in the Caribbean region.

Behzad Kiani, Beatris Mario Martin, Angela Cadavid Restrepo, Helen J Mayfield, Eloise Skinner, Ana Karina Maldonado Alcaíno, Eric J Nilles, Colleen L Lau, Benn Sartorius

Abstract read
In one paragraph

Article in Global health action, 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

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Behzad KianiUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-8816-328X
Beatris Mario MartinUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-8264-0153
Angela Cadavid RestrepoSchool of Public Health, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0003-0359-9410
Helen J MayfieldUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0003-3462-4324
Eloise SkinnerUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-9032-2710
Ana Karina Maldonado AlcaínoUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-9490-7380
Eric J NillesDepartment of Emergency Medicine, Brigham and Women Hospital, Boston, MA, USA.ORCID 0000-0001-7044-5257
Colleen L LauUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-8288-4169
Benn SartoriusUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-6761-2325

Funding

CGH CDC HHS U01 GH002238
6 · The paper itself

Abstract

Infectious diseases of poverty (IDoP) affect disproportionately resource-limited and marginalized populations, resulting in spatial patterns of vulnerability across various geographical areas. Currently, no spatial indices exist to quantify vulnerability to IDoP at a fine geographical level within countries, such as municipalities or provinces. Without such an index, policymakers cannot effectively allocate resources or target interventions in the most vulnerable areas. This protocol aims to specify a methodological approach to measure spatial variation in vulnerability to IDoP. We will evaluate this methodological approach using surveillance and seroprevalence data from the Dominican Republic (DR) as part of a broader effort to develop a regional index for the Caribbean region. The study will consist of three main components. The first component involves identifying the relevant factors associated with IDoP in the Caribbean region through a scoping review, supplemented by expert-elicited opinion. The second component will apply a Fuzzy Analytic Hierarchy Process to weigh the aforementioned factors and develop a spatial composite index, using open data and available national surveys in the DR. In the final component, we will evaluate and validate the index by analysing the prevalence of at least three IDoPs at a fine-grained municipal level in the DR, using seroprevalence data from a 2021 national field study and other national surveillance programs. The spatial vulnerability index framework developed in this study will assess the degree of vulnerability to IDoP across different geographical scales, depending on data availability in each country.

Indexed as

Communicable DiseasesPovertySpatial AnalysisVulnerable PopulationsCaribbean RegionDominican RepublicHumansSeroepidemiologic Studiesclimatic factorsdisease risk mappingEnvironmental factorsfuzzy analytic hierarchy processhealth accessibilityresource allocationrisk factorsseroprevalence datasocioeconomic vulnerabilityspatial analysis

Identifiers

PMID39930987
PMCPMC11816615

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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.