Evidence map›Paper›PMID 33907756›Full record

ArticlemedRxiv : the preprint server for health sciences2021

SARS-CoV-2 transmission dynamics in Belarus revealed by genomic and incidence data analysis.

Alina Nemira, Ayotomiwa Ezekiel Adeniyi, Elena L Gasich, Kirill Y Bulda, Leonid N Valentovich, Anatoly G Krasko, Olga Glebova, Alexander Kirpich, Pavel Skums

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. 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

5 · Who and what money

Authors and funding

9 authors.

Alina NemiraDepartment of Computer Science, Georgia State University, Atlanta, Georgia, USA.
Ayotomiwa Ezekiel AdeniyiDepartment of Computer Science, Georgia State University, Atlanta, Georgia, USA.
Elena L GasichRepublican Research and Practical Center for Epidemiology and Microbiology, Minsk, Belarus.
Kirill Y BuldaRepublican Research and Practical Center for Epidemiology and Microbiology, Minsk, Belarus.
Leonid N ValentovichInstitute of Microbiology, National Academy of Sciences of Belarus, Minsk, Belarus.
Anatoly G KraskoRepublican Research and Practical Center for Epidemiology and Microbiology, Minsk, Belarus.
Olga GlebovaDepartment of Computer Science, Georgia State University, Atlanta, Georgia, USA.
Alexander Kirpich *Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, USA.
Pavel Skums *Department of Computer Science, Georgia State University, Atlanta, Georgia, USA.

Funding

QUBBD: VIRAL EVOLUTION AND SPREAD OF INFECTIOUS DISEASE IN COMPLEX NETWORK: BIG DATA ANALYSIS AND MODELINGR01EB025022 · NIBIB · GEORGIA STATE UNIVERSITY · PI SKUMS, PAVEL, VANNBERG, FREDRIK · 2017 to 2019
$891k
NIBIB NIH HHS R01 EB025022
6 · The paper itself

Abstract

Since the emergence of COVID-19, a series of non-pharmaceutical interventions (NPIs) has been implemented by governments and public health authorities world-wide to control and curb the ongoing pandemic spread. From that perspective, Belarus is one of a few countries with a relatively modern healthcare system, where much narrower NPIs have been put in place. Given the uniqueness of this Belarusian experience, the understanding its COVID-19 epidemiological dynamics is essential not only for the local assessment, but also for a better insight into the impact of different NPI strategies globally. In this work, we integrate genomic epidemiology and surveillance methods to investigate the emergence and spread of SARS-CoV-2 in the country. The observed Belarusian SARS-CoV-2 genetic diversity originated from at least eighteen separate introductions, at least five of which resulted in on-going domestic transmissions. The introduction sources represent a wide variety of regions, although the proportion of regional virus introductions and exports from/to geographical neighbors appears to be higher than for other European countries. Phylodynamic analysis indicates a moderate reduction in the effective reproductive number ℛ

Identifiers

PMID33907756
PMCPMC8077579

What OpenQuestion holds

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LicenceCC BY-ND
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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.