M. Karmaker, M. Moniruzzaman, S. Dey, Jesmin Nur, S. Rana, Fatema Rahman, Joyita Bhowmik
{"title":"Association of demographic variables in COVID-19 infected patients with their recovery status: A pilot study in Dhaka city","authors":"M. Karmaker, M. Moniruzzaman, S. Dey, Jesmin Nur, S. Rana, Fatema Rahman, Joyita Bhowmik","doi":"10.18231/j.ijmr.2023.004","DOIUrl":null,"url":null,"abstract":"Identifying the relationship between demographical factors with COVID-19 infection could demonstrate some prevention strategies of “possible super-spreaders”.To evaluate the correlation between recovery and demographic characteristics of COVID-19-infected patientsA descriptive type of study to demonstrate the 200 COVID-19 infections with various demographical variables by using a questionnaire. The survey consisted of 64-close ended queries, including a short summary of the study background, purpose, procedures, privacy contract, and knowledgeable consent form.For statistical analysis Independent T-test or ANOVA test and SPSS version 25 (IBM, USA) and STATA 15 were used.The male-female ratio of COVID-19 infected patients is 115:100. 50% of patients have never attended social gatherings before getting COVID-19 infection. Social events were visited by 44% of the participants. 47.24% need hospitalization during the positive period, whereas 52.76% recovered at home. Respondents older than 40 years required oxygen support for recovery (p< 0.05). The most common symptoms were loss of smell and taste (53%), headache (48%) body pain (38%), and, fever (33%) in the first-time infection however, these symptoms decreased by Second- and third-time re-infection. Similarly, 20% of patients need oxygen support the first time of infection; it decreased by 10% the second time and 4% the third time. There is a statistically significant difference in the mean recovery time between the people from different professions (p< 0.05). The recovery time of COVID-19 infections is associated with age, profession, and the number of COVID-19 infection times.","PeriodicalId":13428,"journal":{"name":"Indian Journal of Microbiology Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Microbiology Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18231/j.ijmr.2023.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Identifying the relationship between demographical factors with COVID-19 infection could demonstrate some prevention strategies of “possible super-spreaders”.To evaluate the correlation between recovery and demographic characteristics of COVID-19-infected patientsA descriptive type of study to demonstrate the 200 COVID-19 infections with various demographical variables by using a questionnaire. The survey consisted of 64-close ended queries, including a short summary of the study background, purpose, procedures, privacy contract, and knowledgeable consent form.For statistical analysis Independent T-test or ANOVA test and SPSS version 25 (IBM, USA) and STATA 15 were used.The male-female ratio of COVID-19 infected patients is 115:100. 50% of patients have never attended social gatherings before getting COVID-19 infection. Social events were visited by 44% of the participants. 47.24% need hospitalization during the positive period, whereas 52.76% recovered at home. Respondents older than 40 years required oxygen support for recovery (p< 0.05). The most common symptoms were loss of smell and taste (53%), headache (48%) body pain (38%), and, fever (33%) in the first-time infection however, these symptoms decreased by Second- and third-time re-infection. Similarly, 20% of patients need oxygen support the first time of infection; it decreased by 10% the second time and 4% the third time. There is a statistically significant difference in the mean recovery time between the people from different professions (p< 0.05). The recovery time of COVID-19 infections is associated with age, profession, and the number of COVID-19 infection times.