Evidence map›Paper›PMID 32000737›Full record

ArticleBMC public health2020

An artificially simulated outbreak of a respiratory infectious disease.

Zuiyuan Guo, Shuang Xu, Libo Tong, Botao Dai, Yuandong Liu, Dan Xiao

Abstract read
In one paragraph

Article in BMC public health, 2020. 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

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

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

6 authors.

Zuiyuan GuoDepartment of Disease Control, Center for Disease Control and Prevention in Northern Theater Command, No. 6, Longshan Road, Shenyang, 110034, China.
Shuang XuDepartment of Disease Control, Center for Disease Control and Prevention in Northern Theater Command, No. 6, Longshan Road, Shenyang, 110034, China.
Libo TongDepartment of Disease Control, Center for Disease Control and Prevention in Northern Theater Command, No. 6, Longshan Road, Shenyang, 110034, China.
Botao DaiLiaoning Agricultural Development Service Center, Shenyang, China.
Yuandong LiuDepartment of Disease Control, Center for Disease Control and Prevention in Northern Theater Command, No. 6, Longshan Road, Shenyang, 110034, China. LyDCDC@163.com.
Dan XiaoChina National Clinical Research Center for Neurological Diseases, Beijing Tian Tan Hospital, No. 119, South 4th Ring Road West, Fengtai District, Beijing, China. danxiaoepi@163.com.

Funding

National Key R&D Program of China 2018YFC1311703National Major Science and Technology Projects of China 2018ZX10713003
6 · The paper itself

Abstract

backgroundOutbreaks of respiratory infectious diseases often occur in crowded places. To understand the pattern of spread of an outbreak of a respiratory infectious disease and provide a theoretical basis for targeted implementation of scientific prevention and control, we attempted to establish a stochastic model to simulate an outbreak of a respiratory infectious disease at a military camp. This model fits the general pattern of disease transmission and further enriches theories on the transmission dynamics of infectious diseases.

methodsWe established an enclosed system of 500 people exposed to adenovirus type 7 (ADV 7) in a military camp. During the infection period, the patients transmitted the virus randomly to susceptible people. The spread of the epidemic under militarized management mode was simulated using a computer model named "the random collision model", and the effects of factors such as the basic reproductive number (R

resultsOnce the R

conclusionsThe random collision model not only simulates how an epidemic spreads with superior precision but also allows greater flexibility in setting the activities of the exposure population and different types of infectious diseases, which is conducive to furthering exploration of the epidemiological characteristics of epidemic outbreaks.

Indexed as

Computer SimulationDisease OutbreaksAdenovirus Infections, HumanHumansMilitary FacilitiesRespiratory Tract InfectionsAdenovirus type 7ControlModelOutbreakPreventionRespiratory infectious diseases

Identifiers

PMID32000737
PMCPMC6993344

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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.