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Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data
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 va...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474758/ https://www.ncbi.nlm.nih.gov/pubmed/34592415 http://dx.doi.org/10.1016/j.meegid.2021.105087 |
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author | Gankin, Yuriy Nemira, Alina Koniukhovskii, Vladimir Chowell, Gerardo Weppelmann, Thomas A. Skums, Pavel Kirpich, Alexander |
author_facet | Gankin, Yuriy Nemira, Alina Koniukhovskii, Vladimir Chowell, Gerardo Weppelmann, Thomas A. Skums, Pavel Kirpich, Alexander |
author_sort | Gankin, Yuriy |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8474758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84747582021-09-28 Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data Gankin, Yuriy Nemira, Alina Koniukhovskii, Vladimir Chowell, Gerardo Weppelmann, Thomas A. Skums, Pavel Kirpich, Alexander Infect Genet Evol Article 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. The Authors. Published by Elsevier B.V. 2021-11 2021-09-27 /pmc/articles/PMC8474758/ /pubmed/34592415 http://dx.doi.org/10.1016/j.meegid.2021.105087 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Gankin, Yuriy Nemira, Alina Koniukhovskii, Vladimir Chowell, Gerardo Weppelmann, Thomas A. Skums, Pavel Kirpich, Alexander Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data |
title | Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data |
title_full | Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data |
title_fullStr | Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data |
title_full_unstemmed | Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data |
title_short | Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data |
title_sort | investigating the first stage of the covid-19 pandemic in ukraine using epidemiological and genomic data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474758/ https://www.ncbi.nlm.nih.gov/pubmed/34592415 http://dx.doi.org/10.1016/j.meegid.2021.105087 |
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