Evidence map›Paper›PMID 32810366›Full record

ArticleTransboundary and emerging diseases2021

A stochastic simulation model of African swine fever transmission in domestic pig farms in the Red River Delta region in Vietnam.

Hu Suk Lee, Krishna K Thakur, Vuong Nghia Bui, Thanh Long Pham, Anh Ngoc Bui, Tung Duy Dao, Vu Thi Thanh, Barbara Wieland

Abstract read
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Article in Transboundary and emerging diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

8 authors.

Hu Suk LeeInternational Livestock Research Institute (ILRI), Hanoi, Vietnam.ORCID https://orcid.org/0000-0002-8731-9836
Krishna K ThakurDepartment of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PEI, Canada.
Vuong Nghia BuiNational Institute of Veterinary Research, Hanoi, Vietnam.
Thanh Long PhamDepartment of Animal Health, Epidemiology Division, Hanoi, Vietnam.ORCID https://orcid.org/0000-0001-7093-7032
Anh Ngoc BuiNational Institute of Veterinary Research, Hanoi, Vietnam.
Tung Duy DaoNational Institute of Veterinary Research, Hanoi, Vietnam.
Vu Thi ThanhNational Institute of Veterinary Research, Hanoi, Vietnam.
Barbara WielandInternational Livestock Research Institute (ILRI), Addis Ababa, Ethiopia.

Funding

CGIAR Research Program on Livestock
6 · The paper itself

Abstract

The main objectives of this study were to model various scenarios of African swine fever (ASF) virus transmission among farms in Vietnam and to evaluate the impact of control strategies using North American Animal Disease Spread Model (NAADSM). A total of 7,882 pig farms in the Red River Delta (RRD) region were obtained from the General Statistics Office, and then, random points corresponding to the number of farms in each province were generated as exact farm locations were not available. A total of 10 models were developed, including movement control scenarios. In addition, we conducted sensitivity analysis to assess the impact of indirect contact transmission probability (TP). Overall, the indirect contact exhibited an important role in transmitting the ASF virus. In order to minimize ASF transmission between farms, we found that movement restriction needed to reach a certain level (approximately between 50% and 75%) and that the restriction had to be applied in a timely manner. This study offers valuable insight into how ASF virus can be transmitted via direct and indirect contact and controlled among farms under the various simulation scenarios. Our results suggest that the enforcement of movement restriction was an effective control measure as soon as the outbreaks were reported. In addition, this study provided evidence that high standards of biosecurity can contribute to the reduction of disease spread.

Indexed as

African Swine FeverAfrican Swine Fever VirusAnimalsCommunicable Disease ControlComputer SimulationStochastic ProcessesSus scrofaSwineVietnamAfrican swine feverepidemiologysimulation modeltransmissionVietnam

Identifiers

PMID32810366
PMCPMC8246747

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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.