Evidence map›Paper›PMID 41007493›Full record

ArticleInternational journal of environmental research and public health2025

Machine Learning-Based Prediction of Heatwave-Related Hospitalizations: A Case Study in Matam, Senegal.

Mory Toure, Ibrahima Sy, Ibrahima Diouf, Ousmane Gueye, Endalkachew Bekele, Md Abul Ehsan Bhuiyan, Marie Jeanne Sambou, Papa Ngor Ndiaye, Wassila Mamadou Thiaw, Daouda Badiane and 4 more

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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.

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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

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

14 authors.

Mory ToureAgence Nationale de l'Aviation Civile et de la Météorologie (ANACIM), Dakar BP 8184, Senegal.ORCID 0000-0001-6432-2920
Ibrahima SyMinistère de la Santé et de l'Action Sociale, Dakar BP 4024, Senegal.
Ibrahima DioufLaboratoire de Physique de l'Atmosphère et de l'Ocean-Simeon Fongang (LPAO-SF), Ecole Superieure Polytechnique, Universite Cheikh Anta Diop (UCAD), Dakar BP 5085, Senegal.ORCID 0000-0002-3157-0925
Ousmane GueyeCentre Hospitalier Régional El Hadji Ibrahima Niass (CHREIN), Kaolack BP 24030, Senegal.
Endalkachew BekeleNational Center for Environmental Prediction (NCEP), National Oceanic and Atmospheric Administration (NOAA), College Park, MD 20740, USA.
Md Abul Ehsan BhuiyanNational Center for Environmental Prediction (NCEP), National Oceanic and Atmospheric Administration (NOAA), College Park, MD 20740, USA.ORCID 0000-0002-0231-5685
Marie Jeanne SambouLaboratoire de Physique de l'Atmosphère et de l'Ocean-Simeon Fongang (LPAO-SF), Ecole Superieure Polytechnique, Universite Cheikh Anta Diop (UCAD), Dakar BP 5085, Senegal.ORCID 0000-0003-0790-3627
Papa Ngor NdiayeAgence Nationale de l'Aviation Civile et de la Météorologie (ANACIM), Dakar BP 8184, Senegal.
Wassila Mamadou ThiawNational Center for Environmental Prediction (NCEP), National Oceanic and Atmospheric Administration (NOAA), College Park, MD 20740, USA.
Daouda BadianeLaboratoire de Physique de l'Atmosphère et de l'Ocean-Simeon Fongang (LPAO-SF), Ecole Superieure Polytechnique, Universite Cheikh Anta Diop (UCAD), Dakar BP 5085, Senegal.
Aida Diongue-NiangAgence Nationale de l'Aviation Civile et de la Météorologie (ANACIM), Dakar BP 8184, Senegal.
Amadou Thierno GayeLaboratoire de Physique de l'Atmosphère et de l'Ocean-Simeon Fongang (LPAO-SF), Ecole Superieure Polytechnique, Universite Cheikh Anta Diop (UCAD), Dakar BP 5085, Senegal.
Ousmane NdiayeAfrican Center of Meteorological Applications for Development (ACMAD), Niamey BP 13184, Niger.
Adama FayeInstitut de Santé et Développement (ISED), Université Cheikh Anta Diop (UCAD), Dakar BP 5005, Senegal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study assesses the impact of heatwaves on hospital admissions in the Matam region of Senegal by combining climatic indices with machine learning methods. Using daily maximum temperature (TMAX) and heat index (HI), heatwave events were identified from 2017 to 2022. Hospital data from Ourossogui Regional Hospital were analyzed, and three predictive models, Random Forest (RF), Extreme Gradient Boosting (XGB), and Generalized Additive Models (GAMs), were compared. A bootstrapping approach with 1000 iterations was used to evaluate model robustness. The findings reveal a significant delayed effect of heatwaves, with increased hospitalizations occurring three to five days after the event. RF outperformed the other models with R

Indexed as

Extreme HeatHospitalizationHot TemperatureMachine LearningForecastingHumansSenegalclimate-healthearly warning systemsheatwavehospital admissionsmachine learningSenegal

Identifiers

PMID41007493
PMCPMC12469484

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.