M. Karmaker, M. Moniruzzaman, S. Dey, Jesmin Nur, S. Rana, Fatema Rahman, Joyita Bhowmik
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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":"{\"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. 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引用次数: 0
摘要
确定人口因素与COVID-19感染之间的关系,可以为“可能的超级传播者”提供一些预防策略。目的:评估COVID-19感染患者康复与人口学特征的相关性。采用描述性研究,采用问卷调查的方式对200例COVID-19感染病例进行各种人口学变量的调查。调查由64个封闭式问题组成,包括研究背景、目的、程序、隐私合同和知情同意书的简短摘要。统计分析采用独立t检验或ANOVA检验,采用SPSS version 25 (IBM, USA)和STATA 15。新冠肺炎感染者男女比例为115:100。50%的患者在感染COVID-19之前从未参加过社交聚会。44%的参与者参加了社交活动。阳性期间需要住院治疗的占47.24%,在家康复的占52.76%。年龄大于40岁的受访者需要吸氧支持恢复(p< 0.05)。第一次感染时最常见的症状是嗅觉和味觉丧失(53%)、头痛(48%)、身体疼痛(38%)和发烧(33%),但第二次和第三次再次感染时这些症状减轻。同样,20%的患者在首次感染时需要吸氧支持;第二次下降了10%,第三次下降了4%。不同职业人群的平均恢复时间差异有统计学意义(p< 0.05)。COVID-19感染的恢复时间与年龄、职业和感染次数有关。
Association of demographic variables in COVID-19 infected patients with their recovery status: A pilot study in Dhaka city
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.