Departamento de Fisica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Departamento de Microbiologia, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Transbound Emerg Dis. 2021 Jul;68(4):2521-2530. doi: 10.1111/tbed.13922. Epub 2020 Nov 28.
By analysing the evolution of the COVID-19 epidemic in the state of Minas Gerais, Brazil, we showed the importance of considering the sub-notification not only of deaths but also of infected cases. It was shown that the largely used criteria of a historical all-deaths baseline are not approachable in this case, where most of the deaths are associated with causes that should decrease due to social distancing and reduction of economic activities. A quite simple and intuitive model based on the Gompertz function was applied to estimate excess deaths and excess of infected cases. It fits well the data and predicts the evolution of the epidemic adequately. Based on these analyses, an excess of 21.638 deaths and 557.216 infected cases is predicted until the end of 2020, with an upper bound of the case fatality rate of around 2.4% and a prevalence of 2.6%. The geographical distribution of cases and deaths and its ethnic correlation are also presented. This study points out the necessity of governmental and private organizations working together to improve public awareness and stimulate social distancing to curb the viral infection, especially in critical places with high poverty.
通过分析巴西米纳斯吉拉斯州 COVID-19 疫情的演变,我们表明不仅要考虑死亡病例的低报,还要考虑感染病例的低报。事实表明,在这种情况下,使用历史全因死亡基线的标准是不可行的,因为大多数死亡都与由于社交隔离和经济活动减少而应减少的原因有关。我们应用了一种基于戈珀特函数的简单而直观的模型来估计超额死亡人数和感染病例数。该模型很好地拟合了数据,并能充分预测疫情的演变。基于这些分析,预计到 2020 年底将有超过 21638 人死亡和 557216 人感染,病死率上限约为 2.4%,流行率为 2.6%。还呈现了病例和死亡的地理分布及其与种族的相关性。本研究指出,政府和私营组织必须共同努力,提高公众意识,鼓励社交隔离,以遏制病毒感染,特别是在贫困率高的关键地区。