Systematic Review and Meta Analysis on Symptoms and Comorbidities Associated with COVID-19 Disease
Corona disease outbreak occurred in 2019 from Wuhan, China and the virus was identified to be a member of the Coronaviridae family. The disease was named as COVID-19 by WHO. It started as an epidemic and later turned into pandemic affecting world wide. The present study was aimed to conduct a system...
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| Format: | Article |
| Language: | English |
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Journal of Pure and Applied Microbiology
2022-12-01
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| Series: | Journal of Pure and Applied Microbiology |
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| Online Access: | https://microbiologyjournal.org/systematic-review-and-meta-analysis-on-symptoms-and-comorbidities-associated-with-covid-19-disease/ |
| _version_ | 1797950935854481408 |
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| author | Swathi Jonnalagadda Y. Prathyusha V. Selva Kumar Y. Aparna |
| author_facet | Swathi Jonnalagadda Y. Prathyusha V. Selva Kumar Y. Aparna |
| author_sort | Swathi Jonnalagadda |
| collection | DOAJ |
| description | Corona disease outbreak occurred in 2019 from Wuhan, China and the virus was identified to be a member of the Coronaviridae family. The disease was named as COVID-19 by WHO. It started as an epidemic and later turned into pandemic affecting world wide. The present study was aimed to conduct a systematic review on most prevalent symptoms associated with COVID-19 and to perform a Meta analysis on Comorbidities associated with COVID-19 and assess its severity in underlying conditions. A literature search was conducted using search engines like Pubmed, Web of Science, Elsevier COVID-19 and LitCovid databases between January 2020 and August 2020. Forest plot analysis was done using Random effects model to estimate odds ratio and 95% confidence interval estimate. 83 papers with a sample size of 19,454 were analysed statistically after adopting inclusion and exclusion criteria. Our results showed the most prevalent symptoms to be Cough, fever, dyspnoea and myalgia in interval plot analysis. When assessed for comorbidities, Hypertension (27.02%), Diabetes (16.61%), Cardiovascular disease (12.75%) and Chronic pulmonary obstructive diseases(19.9%) are found to be the most risk factors in comparison with others. However, a finer experimental research needs to be confirmed with the findings. |
| first_indexed | 2024-04-10T22:23:59Z |
| format | Article |
| id | doaj.art-4630e45a893749ca95118fe2232be621 |
| institution | Directory Open Access Journal |
| issn | 0973-7510 2581-690X |
| language | English |
| last_indexed | 2024-04-10T22:23:59Z |
| publishDate | 2022-12-01 |
| publisher | Journal of Pure and Applied Microbiology |
| record_format | Article |
| series | Journal of Pure and Applied Microbiology |
| spelling | doaj.art-4630e45a893749ca95118fe2232be6212023-01-17T10:51:05ZengJournal of Pure and Applied MicrobiologyJournal of Pure and Applied Microbiology0973-75102581-690X2022-12-0116423372351https://doi.org/10.22207/JPAM.16.4.50Systematic Review and Meta Analysis on Symptoms and Comorbidities Associated with COVID-19 DiseaseSwathi JonnalagaddaY. Prathyushahttps://orcid.org/0000-0003-2204-4453V. Selva Kumarhttps://orcid.org/0000-0003-1337-1495Y. Aparnahttps://orcid.org/0000-0002-5973-8769Corona disease outbreak occurred in 2019 from Wuhan, China and the virus was identified to be a member of the Coronaviridae family. The disease was named as COVID-19 by WHO. It started as an epidemic and later turned into pandemic affecting world wide. The present study was aimed to conduct a systematic review on most prevalent symptoms associated with COVID-19 and to perform a Meta analysis on Comorbidities associated with COVID-19 and assess its severity in underlying conditions. A literature search was conducted using search engines like Pubmed, Web of Science, Elsevier COVID-19 and LitCovid databases between January 2020 and August 2020. Forest plot analysis was done using Random effects model to estimate odds ratio and 95% confidence interval estimate. 83 papers with a sample size of 19,454 were analysed statistically after adopting inclusion and exclusion criteria. Our results showed the most prevalent symptoms to be Cough, fever, dyspnoea and myalgia in interval plot analysis. When assessed for comorbidities, Hypertension (27.02%), Diabetes (16.61%), Cardiovascular disease (12.75%) and Chronic pulmonary obstructive diseases(19.9%) are found to be the most risk factors in comparison with others. However, a finer experimental research needs to be confirmed with the findings.https://microbiologyjournal.org/systematic-review-and-meta-analysis-on-symptoms-and-comorbidities-associated-with-covid-19-disease/covid-19systematic reviewmeta analysiscomorbiditiessymptoms |
| spellingShingle | Swathi Jonnalagadda Y. Prathyusha V. Selva Kumar Y. Aparna Systematic Review and Meta Analysis on Symptoms and Comorbidities Associated with COVID-19 Disease Journal of Pure and Applied Microbiology covid-19 systematic review meta analysis comorbidities symptoms |
| title | Systematic Review and Meta Analysis on Symptoms and Comorbidities Associated with COVID-19 Disease |
| title_full | Systematic Review and Meta Analysis on Symptoms and Comorbidities Associated with COVID-19 Disease |
| title_fullStr | Systematic Review and Meta Analysis on Symptoms and Comorbidities Associated with COVID-19 Disease |
| title_full_unstemmed | Systematic Review and Meta Analysis on Symptoms and Comorbidities Associated with COVID-19 Disease |
| title_short | Systematic Review and Meta Analysis on Symptoms and Comorbidities Associated with COVID-19 Disease |
| title_sort | systematic review and meta analysis on symptoms and comorbidities associated with covid 19 disease |
| topic | covid-19 systematic review meta analysis comorbidities symptoms |
| url | https://microbiologyjournal.org/systematic-review-and-meta-analysis-on-symptoms-and-comorbidities-associated-with-covid-19-disease/ |
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