Evidence map›Paper›PMID 35132106›Full record

ArticleScientific reports2022

Reconstruction of the transmission dynamics of the first COVID-19 epidemic wave in Thailand.

Chaiwat Wilasang, Natcha C Jitsuk, Chayanin Sararat, Charin Modchang

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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

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

16 citing papers in PubMed.

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  15. Estimation of Excess All-Cause Mortality Due to COVID-19 in Thailand.Tropical medicine and infectious disease · 2022
    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

4 authors.

Chaiwat WilasangBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Natcha C JitsukBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Chayanin SararatBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Charin ModchangBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand. charin.mod@mahidol.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thailand was the first country reporting the first Coronavirus disease 2019 (COVID-19) infected individual outside mainland China. Here we delineated the course of the COVID-19 outbreak together with the timeline of the control measures and public health policies employed by the Thai government during the first wave of the COVID-19 outbreak in Thailand. Based on the comprehensive epidemiological data, we reconstructed the dynamics of COVID-19 transmission in Thailand using a stochastic modeling approach. Our stochastic model incorporated the effects of individual heterogeneity in infectiousness on disease transmission, which allows us to capture relevant features of superspreading events. We found that our model could accurately capture the transmission dynamics of the first COVID-19 epidemic wave in Thailand. The model predicted that at the end of the first wave, the number of cumulative confirmed cases was 3091 (95%CI: 2782-3400). We also estimated the time-varying reproduction number (R

Indexed as

Models, StatisticalSARS-CoV-2AdultCommunicable Disease ControlCOVID-19EpidemicsFemaleHumansMaleMiddle AgedStochastic ProcessesThailandYoung Adult

Identifiers

PMID35132106
PMCPMC8821624

What OpenQuestion holds

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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.