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Impact of COVID-19 prevalence and mode of transmission on mortality cases over WHO regions

机译:Covid-19患病率的影响和传播方式对世居居民区的死亡案例

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With the current outbreak of coronavirus disease 2019 (COVID-19), countries have been on rising preparedness to detect and isolate any imported and locally transmitted cases of the disease. It is observed that mode of transmission of the disease varies from one country to the other. Recent studies have shown that COVID-19 cases are not influenced by race and weather conditions. In this study, effect of modes of transmission of COVID-19 is considered with respect to prevalence and mortality counts in World Health Organisation (WHO) regions. Also, a negative binomial model is formulated for new death cases in all WHO regions as a function of confirmed cases, confirmed new cases, total deaths and modes of transmission, with the goal of identifying a model that predicts the total new death cases the best. Results from this study show that there is strong linear relationship among the COVID-19 confirmed cases, total new deaths and mode of transmission in all WHO regions. Findings highlight the significant roles of modes of transmission on total new death cases over WHO regions. Mode of transmission based on community transmission and clusters of cases significantly affects the number of new deaths in WHO regions. Vuong test shows that the formulated negative binomial model fits the data better than the null model.
机译:随着目前冠心病疾病的爆发2019(Covid-19),各国一直在上升的准备,以检测和分离任何进口和当地传播的疾病病例。观察到疾病的传播方式从一个国家变化到另一个国家。最近的研究表明,Covid-19案例不受种族和天气条件的影响。在这项研究中,考虑了Covid-19传播方式的影响,相对于世界卫生组织(世卫组织)地区的患病率和死亡率计数。此外,作为确认病例的所有函数的全部地区的新死亡案例都配制了负二项式模型,确认了新案例,总死亡和传播方式,其目标是识别预测最佳新死亡情况的模型。本研究结果表明,Covid-19确认案件中存在强大的线性关系,全部新的死亡和所有世告领域的传播方式。调查结果突出了传播方式的重要作用对世居居民国的全新死亡案件。基于社区传输和案例集群的传输方式显着影响世卫组织地区的新死亡人数。 Vuong测试表明,配制的负二项式模型比NULL模型更好地拟合数据。

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