Evidence map›Paper›PMID 41367046›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2025

The Role of Hydrometeorological Factors in Leptospirosis Transmission in Central Java, Indonesia.

Yoerdy Agusmal Saputra, Ladyka Viola Aulia Armawan, Mona Lisa, Disa Hijratul Muharramah, Laura Dwi Pratiwi

Abstract read
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yoerdy Agusmal SaputraDepartment of Environmental Health, Faculty of Public Health, Universitas Sriwijaya, Indralaya, Indonesia.
Ladyka Viola Aulia ArmawanDepartment of Environmental Health, Faculty of Public Health, Universitas Sriwijaya, Indralaya, Indonesia.
Mona LisaDepartment of Public Health, Faculty of Public Health, Universitas Sriwijaya, Indralaya, Indonesia.
Disa Hijratul MuharramahDepartment of Public Health, Faculty of Public Health, Universitas Sriwijaya, Indralaya, Indonesia.
Laura Dwi PratiwiDepartment of Public Health, Faculty of Public Health, Universitas Sriwijaya, Indralaya, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study investigates the relationship between hydrometeorological factors and leptospirosis cases in Central Java to elucidate disease spread patterns.

methodsAn ecological study design was utilized, incorporating spatial elements by integrating geographic information systems (GIS) with statistical techniques. The analysis included data on temperature, humidity, rainfall, solar radiation, flooding, and monthly leptospirosis cases recorded from 2018 to 2022. Data sources comprised the Ministry of Health of the Republic of Indonesia, the Meteorology, Climatology, and Geophysics Agency, and the Central Java Provincial Water Resources Management Center. The study employed correlation tests, multiple linear regression, and spatial data visualization.

resultsCorrelation analysis indicated that monthly leptospirosis cases were significantly and positively correlated with minimum temperature (r=0.423; p=0.001), humidity (r=0.589; p<0.001), and rainfall (r=0.413; p=0.001). In contrast, maximum temperature (r=-0.355; p=0.005) and solar radiation (r=-0.431; p=0.001) showed significant negative correlations. Subsequent multiple linear regression showed that higher monthly leptospirosis was associated with higher humidity.

conclusionsThe findings offer essential insights for developing a comprehensive, science-based leptospirosis management strategy. A recommended approach is to establish a spatial monitoring system aimed at identifying high-risk areas, especially those with increased humidity and frequent flooding.

Indexed as

LeptospirosisGeographic Information SystemsHumansHumidityIndonesiaLinear ModelsRainTemperatureCentral JavaHydrometeorological factorsLeptospirosis casesSpatial approach

Identifiers

PMID41367046
PMCPMC12690246

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