The First Wave of COVID-19 Pandemic: Sociodemographic Characteristics of Patients in A Tertiary Level Hospital of Bangladesh

Shuva Das, Md. Ehsanul Hoque, Sujan Rudra, A. Kalam, Mohammad Arifur Rahman, S. Paul, S. Sharmin, P. Das, Afreen Sultana, Mosammat Jahanara Rosy
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Abstract

Background: The COVID-19 has led to more than 120 million confirmed cases, with over 2.6 million deaths globally, as of March 2021. As the outbreak continues, several research activities regarding the first wave have been conducted to better understand the incidence and prevention methods. This record will play an important role to take more precautions for overcoming the second wave. Materials and methods: In this retrospective cohort study, we collected the age, sex, and the locality of the suspected and SARS-CoV-2 positive patients and tried to make a bridge among them. We conducted rRT-PCR in the Molecular Biology Laboratory of Chittagong Medical College, Chattogram in between May and August 2020. After that, we used a decision tree and time series evaluation to analyze the data. Results: The highest (50.35%) positive cases were detected in the 3rd and 4th week of May. Men were significantly infected (66.2%) more than women. The 31-40 year age group was mainly affected (24.4%), and 88% of the cases belonged to urban areas. Conclusions: The distribution of cases varied with time, and it will guide the physicians to give better support to humanity. JCMCTA 2021 ; 32 (1) : 65-71
第一波COVID-19大流行:孟加拉国某三级医院患者的社会人口学特征
背景:截至2021年3月,COVID-19已导致全球确诊病例超过1.2亿例,死亡人数超过260万。随着疫情的继续,开展了关于第一波疫情的若干研究活动,以便更好地了解发病率和预防方法。这一记录将对采取更多预防措施克服第二次浪潮发挥重要作用。材料与方法:在回顾性队列研究中,我们收集疑似病例和SARS-CoV-2阳性患者的年龄、性别、地区,并试图在他们之间建立桥梁。我们于2020年5月至8月在吉大港医学院分子生物学实验室进行了rRT-PCR。之后,我们使用决策树和时间序列评价来分析数据。结果:5月第3、4周检出率最高(50.35%);男性的感染率明显高于女性(66.2%)。以31 ~ 40岁人群为主(24.4%),88%的病例来自城镇。结论:病例分布随时间的变化而变化,可以指导医生更好地为患者提供支持。Jcmcta 2021;32 (1): 65-71
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