Evidence map›Paper›PMID 38282573›Full record

ArticleEpidemiology and infection2024

Reconstruction and analysis of the transmission network of African swine fever in People's Republic of China, August 2018-September 2019.

Andrei R Akhmetzhanov, Sung-Mok Jung, Hyojung Lee, Natalie M Linton, Yichi Yang, Baoyin Yuan, Hiroshi Nishiura

Abstract read
In one paragraph

Article in Epidemiology and infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Andrei R AkhmetzhanovGlobal Health Program & Institute of Epidemiology and Preventive Medicine, National Taiwan University College of Public Health, Taipei, Taiwan.ORCID 0000-0003-3269-7351
Sung-Mok JungGraduate School of Medicine, Hokkaido University, Sapporo, Japan.
Hyojung LeeGraduate School of Medicine, Hokkaido University, Sapporo, Japan.
Natalie M LintonGraduate School of Medicine, Hokkaido University, Sapporo, Japan.
Yichi YangGraduate School of Medicine, Hokkaido University, Sapporo, Japan.
Baoyin YuanGraduate School of Medicine, Hokkaido University, Sapporo, Japan.
Hiroshi NishiuraSchool of Public Health, Kyoto University, Kyoto, Japan.ORCID 0000-0003-0941-8537

Funding

Environmental Restoration and Conservation Agency JPMEERF20S11804Japan Agency for Medical Research and Development JP23fk0108685 and JP23fk0108612Japan Society for the Promotion of Science 21H03198 and 22K19670Ministry of Health, Labour and Welfare 20CA2024, 20HA2007, 21HB1002, 21HA2016, and 23HA20Research Institute of Science and Technology for Society JPMJRS22B4Strategic International Collaborative Research Program JPMJSC20U3 and JPMJSC2105
6 · The paper itself

Abstract

Introduction of African swine fever (ASF) to China in mid-2018 and the subsequent transboundary spread across Asia devastated regional swine production, affecting live pig and pork product-related markets worldwide. To explore the spatiotemporal spread of ASF in China, we reconstructed possible ASF transmission networks using nearest neighbour, exponential function, equal probability, and spatiotemporal case-distribution algorithms. From these networks, we estimated the reproduction numbers, serial intervals, and transmission distances of the outbreak. The mean serial interval between paired units was around 29 days for all algorithms, while the mean transmission distance ranged 332 -456 km. The reproduction numbers for each algorithm peaked during the first two weeks and steadily declined through the end of 2018 before hovering around the epidemic threshold value of 1 with sporadic increases during 2019. These results suggest that 1) swine husbandry practices and production systems that lend themselves to long-range transmission drove ASF spread; 2) outbreaks went undetected by the surveillance system. Efforts by China and other affected countries to control ASF within their jurisdictions may be aided by the reconstructed spatiotemporal model. Continued support for strict implementation of biosecurity standards and improvements to ASF surveillance is essential for halting transmission in China and spread across Asia.

Indexed as

African Swine FeverAfrican Swine Fever VirusEpidemicsSwine DiseasesAnimalsChinaDisease OutbreaksHumansSus scrofaSwineAfrican swine feveranimal pathogensepidemicsmathematical modellingveterinary epidemiology

Identifiers

PMID38282573
PMCPMC10894904

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LicenceCC BY
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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.