Evidence map›Paper›PMID 36718315›Full record

ArticleVeterinary world2022

Nationally and locally-initiated One Health approach in controlling rabies in West Kalimantan, Indonesia.

Cut Desna Aptriana, Etih Sudarnika, Chaerul Basri

Abstract read
In one paragraph

Article in Veterinary world, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

3 authors.

Cut Desna AptrianaDirectorate of Veterinary Public Health, Ministry of Agriculture Republic Indonesia, Jakarta 12550, Indonesia.
Etih SudarnikaDepartment of Animal Disease and Veterinary Public Health, Veterinary and Biomedical School, IPB University, Bogor 16680, Indonesia.
Chaerul BasriDepartment of Animal Disease and Veterinary Public Health, Veterinary and Biomedical School, IPB University, Bogor 16680, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Rabies is one of the prioritized zoonoses in Indonesia and West Kalimantan is one of the rabies-endemic provinces in the country. This study aimed to evaluate a locally-initiated One Health approach to implement rabies prevention and control programs in Pontianak City and Sanggau District (through a bottom-up approach), and the central government initiated a program in Ketapang District (through a top-down approach). Materials and Methods: Data were collected using three focused group discussions involving public health and animal health/veterinary sectors from each district or city. This study collected data from the rabies control program in West Kalimantan from 2014 to 2020. Results: The evaluation results of the rabies prevention and control program in Pontianak City and Sanggau District that used the local initiative approach were considered effective in reducing the number of rabies cases in these areas, and they overcame the challenges, for example, limited resources, in this area. Pontianak City and Sanggau District initiatives' approach was a bottom-up policy. Thus, this program had better sustainability than the One Health approach in the Ketapang District, which used a top-down implementation. The approach in Ketapang District was also considered adequate to reduce the number of rabies cases in the area. However, the reshuffle of animal health officers and health workers in 2020, which was not followed by training on One Health for the new officers, became a challenge in implementing One Health in Ketapang District. Conclusion: National and local initiatives' One Health approach implemented by Ketapang District, Sanggau District, and Pontianak City involved multiple sectors and was considered effective in preventing and controlling rabies in these areas. However, the sustainability of this program in the Ketapang District requires commitment and support from the local government.

Indexed as

infectious diseaseOne Healthrabieszoonoses

Identifiers

PMID36718315
PMCPMC9880830

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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.