Evidence map›Paper›PMID 38544454›Full record

ArticleInfluenza and other respiratory viruses2024

Estimating Asymptomatic and Symptomatic Transmission of the COVID-19 First Few Cases in Selenge Province, Mongolia.

Davaalkham Dambadarjaa, Tsogt Mend, Andrew Shapiro, Mark S Handcock, Undram Mandakh, Temuulen Enebish, Linh-Vi Le, Dj Darwin R Bandoy, Ambaselmaa Amarjargal, Bilegt Altangerel and 4 more

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Davaalkham DambadarjaaSchool of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Tsogt MendDepartment of Surveillance and Research, National Center for Communicable Diseases, Ulaanbaatar, Mongolia.
Andrew ShapiroDepartment of Statistics, University of California, Los Angeles, California, USA.
Mark S HandcockDepartment of Statistics, University of California, Los Angeles, California, USA.ORCID 0000-0002-9985-2785
Undram MandakhDepartment of Family Medicine, School of Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.ORCID 0000-0001-9624-164X
Temuulen EnebishCOVID-19 Incident Management Support Team, World Health Organization Regional Office for the Western Pacific, Manila, Philippines.
Linh-Vi LeCOVID-19 Incident Management Support Team, World Health Organization Regional Office for the Western Pacific, Manila, Philippines.
Dj Darwin R BandoyCOVID-19 Incident Management Support Team, World Health Organization Regional Office for the Western Pacific, Manila, Philippines.
Ambaselmaa AmarjargalDepartment of Surveillance and Research, National Center for Communicable Diseases, Ulaanbaatar, Mongolia.
Bilegt AltangerelDepartment of Surveillance and Research, National Center for Communicable Diseases, Ulaanbaatar, Mongolia.
Tuvshintur ChuluunbaatarDepartment of Surveillance and Research, National Center for Communicable Diseases, Ulaanbaatar, Mongolia.
Uugantsetseg GuruuchinDepartment of Surveillance and Research, National Center for Communicable Diseases, Ulaanbaatar, Mongolia.
Oyuntulkhuur LkhagvajavDepartment of Surveillance and Research, National Center for Communicable Diseases, Ulaanbaatar, Mongolia.
Oyunsuren EnebishMinistry of Health, Ulaanbaatar, Mongolia.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundFollowing the first locally transmitted case in Sukhbaatar soum, Selenge Province, we aimed to investigate the ultimate scale of the epidemic in the scenario of uninterrupted transmission.

methodsThis was a prospective case study following the locally modified WHO FFX cases generic protocol. A rapid response team collected data from November 14 to 29, 2020. We created a stochastic process to draw many transmission chains from this greater distribution to better understand and make inferences regarding the outbreak under investigation.

resultsThe majority of the cases involved household transmissions (35, 52.2%), work transmissions (20, 29.9%), index (5, 7.5%), same apartment transmissions (2, 3.0%), school transmissions (2, 3.0%), and random contacts between individuals transmissions (1, 1.5%). The posterior means of the basic reproduction number of both the asymptomatic cases

conclusionOur study highlights the heterogeneity of COVID-19 transmission across different symptom statuses and underscores the importance of early identification and isolation of symptomatic cases in disease control. Our approach, which combines detailed contact tracing data with advanced statistical methods, can be applied to other infectious diseases, facilitating a more nuanced understanding of disease transmission dynamics.

Indexed as

COVID-19Contact TracingDisease OutbreaksHumansMongoliaSARS-CoV-2Bayesian statisticscoronavirus infections/epidemiology*COVID‐19*/epidemiologyfamily characteristicsfield epidemiologyhuman*influenzapandemics*SARS‐CoV‐2

Identifiers

PMID38544454
PMCPMC10973774

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.