Evidence map›Paper›PMID 34592415›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2021

Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data.

Yuriy Gankin, Alina Nemira, Vladimir Koniukhovskii, Gerardo Chowell, Thomas A Weppelmann, Pavel Skums, Alexander Kirpich

Open access · hybridAbstract read
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Effectiveness of international border control measures during the COVID-19 pandemic: a narrative synthesis of published systematic reviews.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Yuriy GankinQuantori, Cambridge, Massachusetts, United States of America.
Alina NemiraDepartment of Computer Science, Georgia State University, Atlanta, Georgia, United States of America.
Vladimir KoniukhovskiiEPAM Systems, Saint Petersburg, Russian Federation.
Gerardo ChowellDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.
Thomas A WeppelmannDepartment of Internal Medicine, University of South Florida, Tampa, Florida, United States.
Pavel SkumsDepartment of Computer Science, Georgia State University, Atlanta, Georgia, United States of America.
Alexander KirpichDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America. Electronic address: akirpich@gsu.edu.
Georgia State University · USUniversity of South Florida · US

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

The novel coronavirus SARS-CoV-2 was first detected in China in December 2019 and has rapidly spread around the globe. The World Health Organization declared COVID-19 a pandemic in March 2020 just three months after the introduction of the virus. Individual nations have implemented and enforced a variety of social distancing interventions to slow the virus spread, that had different degrees of success. Understanding the role of non-pharmaceutical interventions (NPIs) on COVID-19 transmission in different settings is highly important. While most such studies have focused on China, neighboring Asian counties, Western Europe, and North America, there is a scarcity of studies for Eastern Europe. The aim of this epidemiological study is to fill this gap by analyzing the characteristics of the first months of the epidemic in Ukraine using agent-based modelling and phylodynamics. Specifically, first we studied the dynamics of COVID-19 incidence and mortality and explored the impact of epidemic NPIs. Our stochastic model suggests, that even a small delay of weeks could have increased the number of cases by up to 50%, with the potential to overwhelm hospital systems. Second, the genomic data analysis suggests that there have been multiple introductions of SARS-CoV-2 into Ukraine during the early stages of the epidemic. Our findings support the conclusion that the implemented travel restrictions may have had limited impact on the epidemic spread. Third, the basic reproduction number for the epidemic that has been estimated independently from case counts data and from genomic data suggest sustained intra-country transmissions.

Indexed as

Genome, ViralModels, StatisticalChinaCOVID-19Epidemiological MonitoringEuropeHumansIncidenceNorth AmericaPhylogenyPhysical DistancingSARS-CoV-2TravelUkraineAgent-basedCOVID-19PhylodynamicsPhylogeneticsSARS-CoV-2Ukraine

Identifiers

PMID34592415
PMCPMC8474758
OpenAlexW3203325106

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.