印度拉贾斯坦邦covid -19的流行病学和趋势模式

S. Bhandari, Ajeet Singh, S. Banerjee, Raman Sharma, G. Rankawat, Vishal Gupta, P. Keswani, Ashwini Mathur, A. Agarwal, S. Sharma, P. Meena
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引用次数: 0

摘要

目的:本研究旨在调查印度拉贾斯坦邦2019年冠状病毒病(COVID-19)在年龄和性别上的行为分布模式和进展,该疾病具有固有的独特性和全球本地化的特点,为指定邦顾问委员会提供必要的信息和工具,以便根据年龄和性别分布的趋势模式设计和制定定制的政策。新感染病例、康复率和病死率的概况。方法:本研究对印度拉贾斯坦邦截至2020年4月22日入院的患者进行了评估,采用逆转录聚合酶链反应(RT-PCR)确诊的COVID-19检测。通过州的地理特征分析患者的特征年龄和性别分布,以及新感染患者、康复患者和病死率的时间趋势。结果:共评估了1888例rt - pcr确诊的COVID-19样本患者群体,样本患者群体以青年组居多,平均年龄34.42岁。15岁以下患者占11.65%,16-30岁占34.79%,31-45岁占25.90%,46-60岁占17.69%,60岁以上患者仅占9.95%。有趣的是,11.65%的COVID-19患者属于儿科年龄组。女性感染比例(37.35%)远低于男性(62.65%),平均性别比为0.59。在1888例患者中,543例患者完全康复,25例患者死亡,1320例患者活跃,平均康复率为28.76%,病死率为1.32%,其余69.91%的患者为活跃病例组。拉贾斯坦邦COVID-19的时间线和趋势模式表明,先前死亡的新病例数量不断增加,尽管患者的康复率也随之上升,这令人欣慰。在选定的地理热点和/或地区,可以很好地理解COVID-19通过接触传播的传染性格言,108例样本患者来自拉贾斯坦邦以外。结论:有趣的是,拉贾斯坦邦的大多数COVID-19阳性常住人口都是30-50岁的年轻人,包括儿科患者,这一观察结果与世界各地记录的报告不同。男性人群似乎更容易感染。进行评估的时间框架表明,以前有病死率的新病例数量呈增加趋势,尽管恢复情况也在上升,表明负荷可能在减少。通过接触者追踪建立新冠肺炎患者地理分布图。
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The epidemiological and trending pattern of nCOVID-19 in the state of Rajasthan, India
PURPOSE: The present study was undertaken to investigate the behavioral distribution pattern and progression of coronavirus disease 2019 (COVID-19) across age and gender in the state of Rajasthan, India, inherently distinctive and native to localized part of the globe giving requisite information and paraphernalia to designate advisory board of the state to design and frame customized policy for demands of the state as per the trending pattern relative to age and sex distribution, profile of new infected cases, recovery rate, and case fatality rate. METHODS: The present ongoing study assessed patients admitted till April 22, 2020, across the state of Rajasthan, India, with reverse transcriptase-polymerase chain reaction (RT-PCR)-confirmed COVID-19 test. Analyses of the patients included characteristic age and gender distribution through the geographic identities of state along with the time trending pattern of newly infected patients, recovered patients, and case fatality rate. RESULTS: A total of 1888 sample patient population of RT-PCR-confirmed COVID-19 was evaluated, with the majority of sample patient population being in young adult age group with a mean age of 34.42 years. Nearly 11.65% of the patients were below 15 years of age, 34.79% were in the age range of 16–30 years, 25.90% were in the age group of 31–45 years, and 17.69% were in the age group of 46–60 years, with only 9.95% of the patient population being in the age group of above 60 years. Interestingly, 11.65% of patients with COVID-19 were in the pediatric age group. The percent of affected females (37.35%) was much less than that compared to males (62.65%), with an average sex ratio of 0.59. Across the sample patient population of 1888, 543 patients recovered fully, 25 patients died, and 1320 cases were active in the said time frame, with an average recovery rate of 28.76% and a case fatality rate of 1.32%, and the remaining 69.91% of the patient population made up the active case group. The timeline and the trending pattern of COVID-19 in the state of Rajasthan was suggestive of an increasing rise of number of new cases with antecedent mortality, though a reassuring concomitant rise in the recovery rate of patients could also be appreciated. The infective COVID-19 dictum of spread through contact could very well be appreciated in select geographic hotspots and/or zones, and 108 sample patient population was from out of Rajasthan. CONCLUSION: It was interesting to observe that majority of the resident population of the state of Rajasthan that was COVID-19 positive was in the young adult age group of 30–50 years inclusive of pediatric patients, an observation that is different from reports as documented from across the world. Male population seemed to be more prone to infection. The time frame in which the evaluation was done is suggestive of an increasing trend in the number of new cases with antecedent case fatality, though recovery was also on the rise indicative of a potential decreasing load. The geographic mapping of COVID-19 patients could be established through contact tracing.
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