Evidence map›Paper›PMID 39188974›Full record

ArticlePreventive medicine reports2024

Assessment of the burden of rabies in one health approach control program in Ketapang District Indonesia: Using zDALY.

Cut Desna Aptriana, Etih Sudarnika, Chaerul Basri, Dikky Indrawan, Joko Daryono, Pebi Purwo Suseno

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Cut Desna AptrianaDirectorate of Veterinary Public Health, Ministry of Agriculture Republic Indonesia, Jakarta 12550, Indonesia.
Etih SudarnikaSchool of Veterinary Medicine and Biomedical Science, IPB University, Bogor 16680, Indonesia.
Chaerul BasriSchool of Veterinary Medicine and Biomedical Science, IPB University, Bogor 16680, Indonesia.
Dikky IndrawanSchool of Business, IPB University, Bogor 16153, Indonesia.
Joko DaryonoAustralia Indonesia Health Security Partnership (AIHSP), Jakarta 12550, Indonesia.
Pebi Purwo SusenoDirectorate of Animal Health, Ministry of Agriculture Republic Indonesia, Jakarta 12550, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ketapang District, located in West Kalimantan, is a region where rabies is endemic. The first human death from rabies was reported in 2014 and the problem persists to this day. In response, the government has implemented the one health approach to control rabies since 2017. This study aimed to assess the disease burden of rabies control using zDALY metrics. Methods: The zoonotic burden for human and animal was measured by developing Zoonotic Disability-Adjusted Life Years (zDALY), which combines DALY and local values of animals and their products, considering animal morbidity and mortality due to the disease (Animal Loss Equivalent/ALE). Data were gathered through interviews with victims or their families, dog owners, and secondary data from the Animal Husbandry Service, and the District Health Office. Results: Before implementing the one health approach, the zDALY value was 1,561.22 person-years (the zDALY rate: 109.53 years/100,000 people). After the intervention, the zDALY value was 1,808.86 person-years (the zDALY rate: 86.62 years/100,000 people). Conclusions: This reduction in the zDaly rate indicates that rabies control through the one health approach in Ketapang District was effective in alleviating the disease burden caused by rabies.

Indexed as

Animal loss equivalentDALYDisease burdenOne healthRabieszDALYZoonoses

Identifiers

PMID39188974
PMCPMC11345393

What OpenQuestion holds

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Registered trials

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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.