Evidence map›Paper›PMID 40417385›Full record

ArticleAfrican journal of infectious diseases2025

DETERMINANTS AND MAPPING OF LEPTOSPIROSIS IN KEBUMEN, INDONESIA: CASE-CONTROL STUDY.

Lestari Mugi Rahayu, Nurcandra Fajaria, Buntara Arga, Simanjorang Chandrayani

Abstract read
In one paragraph

Article in African journal of infectious diseases, 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

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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

4 authors.

Lestari Mugi RahayuDepartment of Public Health, Faculty of Health Science, Universitas Pembangunan Nasional "Veteran" Jakarta, Limo District, Depok City, West Java 16514, Indonesia.
Nurcandra FajariaDepartment of Public Health, Faculty of Health Science, Universitas Pembangunan Nasional "Veteran" Jakarta, Limo District, Depok City, West Java 16514, Indonesia.
Buntara ArgaDepartment of Public Health, Faculty of Health Science, Universitas Pembangunan Nasional "Veteran" Jakarta, Limo District, Depok City, West Java 16514, Indonesia.
Simanjorang ChandrayaniDepartment of Public Health, Faculty of Health Science, Universitas Pembangunan Nasional "Veteran" Jakarta, Limo District, Depok City, West Java 16514, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Leptospirosis is a health concern with a high mortality rate. As of 2022, 9.8% of Indonesians are vulnerable to leptospirosis, and Kebumen Regency has been recognized as an endemic area since 2012. This study aims to identify the determinants and map the incidence of leptospirosis in Kebumen, Indonesia, in 2023. Material and Methods: This study used a 1:1 sample of 53 cases and 53 controls in a case-control study design. Each group was sampled using a purposive sampling technique. Cases were defined as individuals seeking care at a health center or hospital and identified as leptospirosis patients in 2023, while controls were individuals living nearest to the cases. Data analysis for this study involved the use of a logistic regression model. Results: Individuals with a history of wounds have 40.20 times higher odds of experiencing leptospirosis. Men have 2.58 times higher odds of experiencing leptospirosis, while poor use of personal protective equipment (PPE) increases the odds by 2.27. Leptospirosis risk is elevated in areas where rats and standing water are prevalent, as these factors are typically found nearby. Furthermore, pets at risk are commonly found in high-risk areas. Conclusion: History of wounds, sex, and use of PPE are factors that can predict the incidence of leptospirosis. Environmental determinant mapping is observed in high-density, geographically proximate locations.

Indexed as

case-controldeterminantsIndonesialeptospirosismappingrisk factorszoonotic

Identifiers

PMID40417385
PMCPMC12102677

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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.