Cargando…

SARS-Cov2: a meta-analysis of symptom distribution by continent in 7310 adult COVID-19 infected patients

There is recent evidence that suggests that there are multiple strains of coronavirus in different parts of the world. Moreover, scientist have noted multiple mutations and postulated that these changes might increase the infective rate of the virus. However literature on varying severity of disease...

Descripción completa

Detalles Bibliográficos
Autores principales: Singhavi, Hitesh, Pai, Ameya, Mair, Manish, Singhavi, Jinesh, Gandhi, Prachi, Baker, Andrew, Das, Sudip, Kumar, Sanjeev, Conboy, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187893/
https://www.ncbi.nlm.nih.gov/pubmed/34124318
http://dx.doi.org/10.1007/s13337-021-00699-y
_version_ 1783705228838699008
author Singhavi, Hitesh
Pai, Ameya
Mair, Manish
Singhavi, Jinesh
Gandhi, Prachi
Baker, Andrew
Das, Sudip
Kumar, Sanjeev
Conboy, Peter
author_facet Singhavi, Hitesh
Pai, Ameya
Mair, Manish
Singhavi, Jinesh
Gandhi, Prachi
Baker, Andrew
Das, Sudip
Kumar, Sanjeev
Conboy, Peter
author_sort Singhavi, Hitesh
collection PubMed
description There is recent evidence that suggests that there are multiple strains of coronavirus in different parts of the world. Moreover, scientist have noted multiple mutations and postulated that these changes might increase the infective rate of the virus. However literature on varying severity of disease based on these strains is absent. In this meta-analysis, we have made an attempt to correlate the symptoms in different continents with respect to various studied strains of virus. We searched three databases, PubMed, EMBASE and EMCARE to identify studies reporting symptoms of COVID-19. All articles published between December 2019 and May 2020 was included in this meta-analysis. A total of 56 studies consisted of 7310 patients were included in the meta-analysis. Mean age of patients varied from 22 to 69.8 years. The pooled proportion of male patients was 52%. Highest incidence of fever (76%) and cough (56%) was noted in Chinese population. Sore throat (29%) was most common in Asian population. Upper respiratory tract symptom like Rhinorrhoea, Anosmia and dysgeusia (32%, 47% and 39%) were well documented in European population as compared to the other continents. Nausea and diarrhoea were more common in European (17%, 19%) and Australian (12%, 16%) population. Dyspnoea and fatigue were consistently similar in all the continents. We postulate that different mutations in COVID-19 virus may vary its pathogenicity and screening symptoms across all the continents should be not be generalised but continent-specific. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13337-021-00699-y.
format Online
Article
Text
id pubmed-8187893
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer India
record_format MEDLINE/PubMed
spelling pubmed-81878932021-06-09 SARS-Cov2: a meta-analysis of symptom distribution by continent in 7310 adult COVID-19 infected patients Singhavi, Hitesh Pai, Ameya Mair, Manish Singhavi, Jinesh Gandhi, Prachi Baker, Andrew Das, Sudip Kumar, Sanjeev Conboy, Peter Virusdisease Review Article There is recent evidence that suggests that there are multiple strains of coronavirus in different parts of the world. Moreover, scientist have noted multiple mutations and postulated that these changes might increase the infective rate of the virus. However literature on varying severity of disease based on these strains is absent. In this meta-analysis, we have made an attempt to correlate the symptoms in different continents with respect to various studied strains of virus. We searched three databases, PubMed, EMBASE and EMCARE to identify studies reporting symptoms of COVID-19. All articles published between December 2019 and May 2020 was included in this meta-analysis. A total of 56 studies consisted of 7310 patients were included in the meta-analysis. Mean age of patients varied from 22 to 69.8 years. The pooled proportion of male patients was 52%. Highest incidence of fever (76%) and cough (56%) was noted in Chinese population. Sore throat (29%) was most common in Asian population. Upper respiratory tract symptom like Rhinorrhoea, Anosmia and dysgeusia (32%, 47% and 39%) were well documented in European population as compared to the other continents. Nausea and diarrhoea were more common in European (17%, 19%) and Australian (12%, 16%) population. Dyspnoea and fatigue were consistently similar in all the continents. We postulate that different mutations in COVID-19 virus may vary its pathogenicity and screening symptoms across all the continents should be not be generalised but continent-specific. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13337-021-00699-y. Springer India 2021-06-09 2021-09 /pmc/articles/PMC8187893/ /pubmed/34124318 http://dx.doi.org/10.1007/s13337-021-00699-y Text en © Indian Virological Society 2021
spellingShingle Review Article
Singhavi, Hitesh
Pai, Ameya
Mair, Manish
Singhavi, Jinesh
Gandhi, Prachi
Baker, Andrew
Das, Sudip
Kumar, Sanjeev
Conboy, Peter
SARS-Cov2: a meta-analysis of symptom distribution by continent in 7310 adult COVID-19 infected patients
title SARS-Cov2: a meta-analysis of symptom distribution by continent in 7310 adult COVID-19 infected patients
title_full SARS-Cov2: a meta-analysis of symptom distribution by continent in 7310 adult COVID-19 infected patients
title_fullStr SARS-Cov2: a meta-analysis of symptom distribution by continent in 7310 adult COVID-19 infected patients
title_full_unstemmed SARS-Cov2: a meta-analysis of symptom distribution by continent in 7310 adult COVID-19 infected patients
title_short SARS-Cov2: a meta-analysis of symptom distribution by continent in 7310 adult COVID-19 infected patients
title_sort sars-cov2: a meta-analysis of symptom distribution by continent in 7310 adult covid-19 infected patients
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187893/
https://www.ncbi.nlm.nih.gov/pubmed/34124318
http://dx.doi.org/10.1007/s13337-021-00699-y
work_keys_str_mv AT singhavihitesh sarscov2ametaanalysisofsymptomdistributionbycontinentin7310adultcovid19infectedpatients
AT paiameya sarscov2ametaanalysisofsymptomdistributionbycontinentin7310adultcovid19infectedpatients
AT mairmanish sarscov2ametaanalysisofsymptomdistributionbycontinentin7310adultcovid19infectedpatients
AT singhavijinesh sarscov2ametaanalysisofsymptomdistributionbycontinentin7310adultcovid19infectedpatients
AT gandhiprachi sarscov2ametaanalysisofsymptomdistributionbycontinentin7310adultcovid19infectedpatients
AT bakerandrew sarscov2ametaanalysisofsymptomdistributionbycontinentin7310adultcovid19infectedpatients
AT dassudip sarscov2ametaanalysisofsymptomdistributionbycontinentin7310adultcovid19infectedpatients
AT kumarsanjeev sarscov2ametaanalysisofsymptomdistributionbycontinentin7310adultcovid19infectedpatients
AT conboypeter sarscov2ametaanalysisofsymptomdistributionbycontinentin7310adultcovid19infectedpatients