Evidence map›Paper›PMID 29792875›Full record

ArticleJournal of theoretical biology2018

Modelling the skip-and-resurgence of Japanese encephalitis epidemics in Hong Kong.

Shi Zhao, Yijun Lou, Alice P Y Chiu, Daihai He

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Shi ZhaoDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong (SAR) China.
Yijun LouDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong (SAR) China.
Alice P Y ChiuDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong (SAR) China.
Daihai HeDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong (SAR) China. Electronic address: daihai.he@polyu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Japanese encephalitis virus (JEV) is a zoonotic mosquito-borne virus, persisting in pigs, Ardeid birds and Culex mosquitoes. It is endemic to China and Southeastern Asia. The case-fatality ratio (CFR) or the rate of permanent psychiatric sequelae is 30% among symptomatic patients. There were no reported local JEV human cases between 2006 and 2010 in Hong Kong, but it was followed by a resurgence of cases from 2011 to 2017. The mechanism behind this "skip-and-resurgence" patterns is unclear. This work aims to reveal the mechanism behind the "skip-and-resurgence" patterns using mathematical modelling and likelihood-based inference techniques. We found that pig-to-pig transmission increases the size of JEV epidemics but is unlikely to maintain the same level of transmission among pigs. The disappearance of JEV human cases in 2006-2010 could be explained by a sudden reduction of the population of farm pigs as a result of the implementation of the voluntary "pig-rearing licence surrendering" policy. The resurgence could be explained by of a new strain in 2011, which increased the transmissibility of the virus or the spill-over ratio from reservoir to host or both.

Indexed as

Disease ReservoirsModels, TheoreticalAnimalsAsia, SoutheasternBirdsChinaCommunicable Diseases, EmergingCulexCulicidaeDisease VectorsEncephalitis, JapaneseEncephalitis Virus, JapaneseEpidemicsHong KongHumansMosquito VectorsJapanese encephalitis virusMathematical modellingSkip-and-resurgenceVector-free transmission

Identifiers

PMID29792875
PMCPMC7094098

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.