{"title":"第二波和第三波Covid-19大流行的比较分析:来自印度西部一家三级医院的经验","authors":"Anjali Swami, Ankita Mohanty, Ashima Jamwal, Dilip Turbadkar, Sujata Baveja, Jayanthi Shastri, Vidushi Chitalia","doi":"10.1099/jmm.0.001685","DOIUrl":null,"url":null,"abstract":"<p><p><b>Introduction.</b> As the world was still recovering from the 2020 pandemic, the devastating impact of Covid-19 driven by the Delta variant shook the world in 2021. As the second wave was declining, there was an unusual surge in Covid-19 positive cases by the end of 2021 which led to global concern about the change in virus characteristics.<b>Hypothesis/gap statement.</b> Whole genome sequencing is critical for understanding a rapidly progressing pandemic.<b>Aim</b>. To provide an insight into the major differences encountered in the changing characteristics between the second and third waves of the pandemic at a tertiary care hospital in India.<b>Methods.</b> A retrospective observational cohort analysis was conducted on Covid-positive patients during the second wave of the Covid-19 pandemic (from March 2021 to April 2021) and the third wave of the Covid-19 pandemic (from December 2021 to January 2022).<b>Results.</b> Out of 303 Covid-19 positive cases, 52 samples were tested by whole genome sequencing during the second wave and 108 during the third wave. A decline of 18.5 % was observed in the case fatality rate from the second wave to the third wave. There was a 5 % decline in the number of patients admitted with ARDS and a 16.3 % decline in the number of patients with co-morbidities.In total, 51.9 percent of cases were due to the Delta variant during the second wave and 95 percent due to the Omicron variant during the third wave. We found that 36.5 % of Covid-positive patients during the second wave had been vaccinated compared to 40 % in the third wave.<b>Conclusion.</b> Whole genome sequencing of clinical samples from a wide range of individuals during a viral epidemic will enable us to develop a more rapid public health response to new variants and identify the required vaccine modifications more quickly.</p>","PeriodicalId":16343,"journal":{"name":"Journal of medical microbiology","volume":"72 5","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comparative analysis of the second and third wave of the Covid-19 pandemic: an experience from a tertiary care hospital in Western India.\",\"authors\":\"Anjali Swami, Ankita Mohanty, Ashima Jamwal, Dilip Turbadkar, Sujata Baveja, Jayanthi Shastri, Vidushi Chitalia\",\"doi\":\"10.1099/jmm.0.001685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Introduction.</b> As the world was still recovering from the 2020 pandemic, the devastating impact of Covid-19 driven by the Delta variant shook the world in 2021. As the second wave was declining, there was an unusual surge in Covid-19 positive cases by the end of 2021 which led to global concern about the change in virus characteristics.<b>Hypothesis/gap statement.</b> Whole genome sequencing is critical for understanding a rapidly progressing pandemic.<b>Aim</b>. To provide an insight into the major differences encountered in the changing characteristics between the second and third waves of the pandemic at a tertiary care hospital in India.<b>Methods.</b> A retrospective observational cohort analysis was conducted on Covid-positive patients during the second wave of the Covid-19 pandemic (from March 2021 to April 2021) and the third wave of the Covid-19 pandemic (from December 2021 to January 2022).<b>Results.</b> Out of 303 Covid-19 positive cases, 52 samples were tested by whole genome sequencing during the second wave and 108 during the third wave. A decline of 18.5 % was observed in the case fatality rate from the second wave to the third wave. There was a 5 % decline in the number of patients admitted with ARDS and a 16.3 % decline in the number of patients with co-morbidities.In total, 51.9 percent of cases were due to the Delta variant during the second wave and 95 percent due to the Omicron variant during the third wave. We found that 36.5 % of Covid-positive patients during the second wave had been vaccinated compared to 40 % in the third wave.<b>Conclusion.</b> Whole genome sequencing of clinical samples from a wide range of individuals during a viral epidemic will enable us to develop a more rapid public health response to new variants and identify the required vaccine modifications more quickly.</p>\",\"PeriodicalId\":16343,\"journal\":{\"name\":\"Journal of medical microbiology\",\"volume\":\"72 5\",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of medical microbiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1099/jmm.0.001685\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of medical microbiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1099/jmm.0.001685","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
A comparative analysis of the second and third wave of the Covid-19 pandemic: an experience from a tertiary care hospital in Western India.
Introduction. As the world was still recovering from the 2020 pandemic, the devastating impact of Covid-19 driven by the Delta variant shook the world in 2021. As the second wave was declining, there was an unusual surge in Covid-19 positive cases by the end of 2021 which led to global concern about the change in virus characteristics.Hypothesis/gap statement. Whole genome sequencing is critical for understanding a rapidly progressing pandemic.Aim. To provide an insight into the major differences encountered in the changing characteristics between the second and third waves of the pandemic at a tertiary care hospital in India.Methods. A retrospective observational cohort analysis was conducted on Covid-positive patients during the second wave of the Covid-19 pandemic (from March 2021 to April 2021) and the third wave of the Covid-19 pandemic (from December 2021 to January 2022).Results. Out of 303 Covid-19 positive cases, 52 samples were tested by whole genome sequencing during the second wave and 108 during the third wave. A decline of 18.5 % was observed in the case fatality rate from the second wave to the third wave. There was a 5 % decline in the number of patients admitted with ARDS and a 16.3 % decline in the number of patients with co-morbidities.In total, 51.9 percent of cases were due to the Delta variant during the second wave and 95 percent due to the Omicron variant during the third wave. We found that 36.5 % of Covid-positive patients during the second wave had been vaccinated compared to 40 % in the third wave.Conclusion. Whole genome sequencing of clinical samples from a wide range of individuals during a viral epidemic will enable us to develop a more rapid public health response to new variants and identify the required vaccine modifications more quickly.
期刊介绍:
Journal of Medical Microbiology provides comprehensive coverage of medical, dental and veterinary microbiology, and infectious diseases. We welcome everything from laboratory research to clinical trials, including bacteriology, virology, mycology and parasitology. We publish articles under the following subject categories: Antimicrobial resistance; Clinical microbiology; Disease, diagnosis and diagnostics; Medical mycology; Molecular and microbial epidemiology; Microbiome and microbial ecology in health; One Health; Pathogenesis, virulence and host response; Prevention, therapy and therapeutics