Evidence map›Paper›PMID 41595806›Full record

ArticleInternational journal of environmental research and public health2025

Leveraging Climate Data Through Intelligent Systems for the Prediction of Arbovirus Transmission by

Clarisse Lins de Lima, Karla Amorim Sancho, Ana Clara Gomes da Silva, Ranielle Vital, Cecília Cordeiro da Silva, Marcela Franklin Salvador de Mendonça, Fabiano Tonaco Borges, Carlos Eduardo Gomes Siqueira, Wellington Pinheiro Dos Santos

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Clarisse Lins de LimaDepartment of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.
Karla Amorim SanchoDepartment of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.
Ana Clara Gomes da SilvaDepartment of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.ORCID 0000-0002-2823-5763
Ranielle VitalGraduate Program in Pharmaceutical Sciences, Department of Pharmaceutical Sciences, Center for Health Sciences, Federal University of Pernambuco (UFPE), Av. Prof. Moraes Rego, 1235, Cidade Universitária, Recife 50670-901, PE, Brazil.
Cecília Cordeiro da SilvaDepartment of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.
Marcela Franklin Salvador de MendonçaDepartment of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.ORCID 0000-0003-0154-5478
Fabiano Tonaco BorgesDepartment of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.ORCID 0000-0002-7325-6360
Carlos Eduardo Gomes SiqueiraSchool for the Environment, University of Massachusetts Boston (UMass Boston), Boston, MA 02125, USA.ORCID 0000-0001-8993-3031
Wellington Pinheiro Dos SantosDepartment of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.ORCID 0000-0003-2558-6602

Funding

National Council for Scientific and Technological Development (CNPq), Brazil. 445900/2023-7
6 · The paper itself

Abstract

Arboviruses spread in urban tropics under climate change. At

Indexed as

AedesArbovirusesArbovirus InfectionsClimateMosquito VectorsAnimalsBrazilClimate ChangeData AnalyticsIntelligent SystemsPrediction AlgorithmsPredictive Learning ModelsRandom Forestchikungunya feverclimate changedengueintelligent systemsprediction methods

Identifiers

PMID41595806
PMCPMC12840595

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.