Evidence map›Paper›PMID 37038199›Full record

ArticleInfectious diseases of poverty2023

Neglected tropical diseases risk correlates with poverty and early ecosystem destruction.

Arthur Ramalho Magalhães, Cláudia Torres Codeço, Jens-Christian Svenning, Luis E Escobar, Paige Van de Vuurst, Thiago Gonçalves-Souza

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
27.2field-weighted citation impact, top 1% of its field
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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

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  8. [Environmental medicine and AI, migration, and emerging and reemerging diseases in Mexico].Revista medica del Instituto Mexicano del Seguro Social · 2026
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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

6 authors at 4 institutions in 3 countries.

Arthur Ramalho MagalhãesLaboratory of Ecological Synthesis and Biodiversity Conservation (ECOFUN), Federal Rural University of Pernambuco, Recife, PE, Brazil.ORCID http://orcid.org/0000-0003-3838-2844
Cláudia Torres CodeçoScientific Computation Program (PROCC), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, RJ, Brazil.
Jens-Christian SvenningCenter for Ecological Dynamics in a Novel Biosphere (ECONOVO) & Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology., Aarhus University, Aarhus, Denmark.
Luis E EscobarDepartment of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA, USA.
Paige Van de VuurstCenter for Emerging Zoonotic and Arthropod-Borne Pathogens, Virginia Tech, Blacksburg, VA, USA.
Thiago Gonçalves-SouzaLaboratory of Ecological Synthesis and Biodiversity Conservation (ECOFUN), Federal Rural University of Pernambuco, Recife, PE, Brazil. tgoncalves.souza@gmail.com.ORCID http://orcid.org/0000-0001-8471-7479
Universidade Federal Rural de Pernambuco · BRVirginia Tech · USAarhus University · DKFundação Oswaldo Cruz · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 442357/2019-2Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.633837/2021-00Institute for Critical Technologies and Applied Science, Virginia Tech ICTAS-JFP-2022-2023National Science Foundation HEGS 2116748Villum Fonden 16549
6 · The paper itself

Abstract

backgroundNeglected tropical diseases affect the most vulnerable populations and cause chronic and debilitating disorders. Socioeconomic vulnerability is a well-known and important determinant of neglected tropical diseases. For example, poverty and sanitation could influence parasite transmission. Nevertheless, the quantitative impact of socioeconomic conditions on disease transmission risk remains poorly explored.

methodsThis study investigated the role of socioeconomic variables in the predictive capacity of risk models of neglected tropical zoonoses using a decade of epidemiological data (2007-2018) from Brazil. Vector-borne diseases investigated in this study included dengue, malaria, Chagas disease, leishmaniasis, and Brazilian spotted fever, while directly-transmitted zoonotic diseases included schistosomiasis, leptospirosis, and hantaviruses. Environmental and socioeconomic predictors were combined with infectious disease data to build environmental and socioenvironmental sets of ecological niche models and their performances were compared.

resultsSocioeconomic variables were found to be as important as environmental variables in influencing the estimated likelihood of disease transmission across large spatial scales. The combination of socioeconomic and environmental variables improved overall model accuracy (or predictive power) by 10% on average (P < 0.01), reaching a maximum of 18% in the case of dengue fever. Gross domestic product was the most important socioeconomic variable (37% relative variable importance, all individual models exhibited P < 0.00), showing a decreasing relationship with disease indicating poverty as a major factor for disease transmission. Loss of natural vegetation cover between 2008 and 2018 was the most important environmental variable (42% relative variable importance, P < 0.05) among environmental models, exhibiting a decreasing relationship with disease probability, showing that these diseases are especially prevalent in areas where natural ecosystem destruction is on its initial stages and lower when ecosystem destruction is on more advanced stages.

conclusionsDestruction of natural ecosystems coupled with low income explain macro-scale neglected tropical and zoonotic disease probability in Brazil. Addition of socioeconomic variables improves transmission risk forecasts on tandem with environmental variables. Our results highlight that to efficiently address neglected tropical diseases, public health strategies must target both reduction of poverty and cessation of destruction of natural forests and savannas.

Indexed as

Chagas DiseaseCommunicable DiseasesAnimalsEcosystemHumansNeglected DiseasesPovertyZoonosesBrazilDisease ecologyEcological niche modelSocioecological systemVector-borne diseasesZoonosis

Identifiers

PMID37038199
PMCPMC10084676
OpenAlexW4362735663

What OpenQuestion 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 OpenQuestion graph.