Evidence map›Paper›PMID 41630749›Full record

ArticleOpen veterinary journal2025

Application of leptospirosis surveillance study at primary health care center in Banyumas and Demak, Central Java, Indonesia.

Ristiyanto Ristiyanto, Farida Dwi Handayani, Wimbi Kartika, Arief Mulyono, Widoretno Widoretno, Masri Sembiring Maha, Lisa Andriani Lienggonegoro, Helena Ullyartha Pangaribuan, Nungki Hapsari Suryaningtyas, Muhammad Hussein Gasem

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Article in Open veterinary journal, 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

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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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

10 authors.

Ristiyanto RistiyantoResearch Center for Public Health and Nutrition, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Bogor, Indonesia.
Farida Dwi HandayaniEijkman Research Center for Molecular Biology, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Bogor, Indonesia.
Wimbi KartikaMinistry of Health, Republic of Indonesia, National Environmental PHL, Salatiga, Indonesia.
Arief MulyonoResearch Center for Public Health and Nutrition, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Bogor, Indonesia.
Widoretno WidoretnoCenter for Biomedical Research, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Bogor, Indonesia.
Masri Sembiring MahaCenter for Biomedical Research, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Bogor, Indonesia.
Lisa Andriani LienggonegoroCenter for Biomedical Research, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Bogor, Indonesia.
Helena Ullyartha PangaribuanCenter for Biomedical Research, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Bogor, Indonesia.
Nungki Hapsari SuryaningtyasCenter for Biomedical Research, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Bogor, Indonesia.
Muhammad Hussein GasemDivision of Infectious Diseases and Tropical Medicine, Dr. Kariadi Hospital, Semarang, Indonesia.

Funding

National Health Research and Development Agency, Ministry of Health, Republic of Indonesia
6 · The paper itself

Abstract

Background: Leptospirosis remains one of the most significant zoonotic diseases in tropical regions such as Indonesia. It is characterized by high morbidity and mortality rates, with case fatality rates ranging from 5% to 15%, and frequent underreporting due to nonspecific clinical symptoms, which contributes to underdiagnosis in up to 40%-60% of suspected cases. Surveillance at the Public Health Care Center (PHC) level is crucial for early case detection and outbreak control in endemic areas. Aim: This study aimed to develop and implement a leptospirosis surveillance model at primary health care facilities in two endemic regencies in Central Java, Indonesia, Banyumas and Demak districts, to improve early detection, reporting, and response capacity. Methods: The research on leptospirosis surveillance by the PHC was conducted from January 2018 to December 2019 in Banyumas and Demak Regencies, Central Java. This research is a time-series study that encompasses case findings, diagnosis, and laboratory detection of leptospirosis. Case findings were carried out both passively (at health centers) and actively (within the community) using the WHO-SEARO clinical symptom criteria. Results: In Banyumas Regency, 121 suspects, 106 probable, and 44 confirmed cases of leptospirosis and in Demak Regency between 2018 and 2021, 73 cases of leptospirosis were reported, with 22 deaths, resulting in a case fatality rate of 30.1%. A total of 51 patients recovered from the disease. While the hospital reported 63 leptospirosis cases and 9 related deaths, surveillance in Demak Regency identified 72 suspected, 67 probable, and 23 confirmed cases with no reported deaths. However, a Demak hospital recorded 172 cases and 19 deaths. Negative binomial regression revealed a significant negative relationship between cases reported by PHCs and hospitals (coef = -0.050; Conclusion: Leptospirosis surveillance data can be used to identify focal areas of leptospirosis endemicity. The application of the WHO-SEARO (2009) clinical criteria and rapid diagnostic tests supports the identification of suspected and probable cases of leptospirosis at the PHC level.

Indexed as

Epidemiological MonitoringLeptospirosisPrimary Health CareAnimalsHumansIndonesiaPopulation SurveillanceCase fatality rateEndemic areaNeglected diseasePublic Health CenterSurveillance leptospirosis

Identifiers

PMID41630749
PMCPMC12861454

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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.