Further Estimations of the Likely Total Infections and Deaths Due to COVID19 in Select Countries (Version 2 dt. April 10, 2020)

Sebastian Morris
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Abstract

We had earlier estimated the likely cases and deaths over the course of the pandemic for a number of countries. This was an early attempt and gave somewhat tentative results. With some 7 more days of data being now available, better estimates are possible which we bring out in this paper. As in the previous paper we use a logistic model of cumulative cases and deaths, to estimate the zero growth level of cases and deaths. We also provide an upper bound to these estimates. The earlier estimates are further reinforced, and new estimates are made for a select set of countries where the growth rates in the numbers of cases, and in deaths have begun to decline. We also give estimates of the current growth rates in cases and deaths that these countries are likely to witness. The study as before presumes that the spread of infection is one-stage logistic process, once significant numbers of infections have taken place. This may not be true of countries which witnessed low deaths and cases. In countries that have witnessed much spread and deaths relative to their populations and with more sustainable approaches to containment may not witness significantly more deaths than what has happened thus far. This would be the case of Iran, Italy. China and Korea too with their rather highly coordinated approach despite low spread of cases and low number of deaths relative to their population would along with Iran, Italy and Denmark and Turkey would most likely not see a secondary wave of infections. Argentina and South Africa show very high growth rate in deaths even the increase in cases have slowed down considerable. Spain has stabilized its growth in deaths to nearly zero levels bit since the cases are continuing to grow at around 5.7% the death rates could again turn positive after a while. Germany and Indonesia show continuing rise in deaths and cases at moderately high rates. Japan, Malaysia, Brazil and Singapore show low to moderate death rates, but since the rise in cases continues to be between 5 and 8%, these low(Japan) moderate growth rate in deaths are likely to continue for a while before they fall to zero. France, Sweden Australia and Thailand would see continuing growth in cases at moderate rates even though the growth in deaths continue to be at high rates. The US most notably shows very high growth rates in both deaths and in cases indicating that the deaths at high rates are likely to continue for a while. While estimates are made for Canada, India, Bangladesh, Russia, Mexico, UK and the Philippines, they are of limited value since it is too early for the logistic model to fit. However, all of these except Russia show high death rates and high case rates. These countries could all see continuing rise in cases before the decline in rates happen, so that their current decline in death rates even when statistically significant could change for the worse. We have as in the previous paper used a logistic model to estimate the current growth rates, and made forecasts of the ultimate stable cases and deaths before these stop rising any further. For 26 countries (with a combined population of 3.8 billion) the total cases as on date 9th /10th April was where the logistic trend has been realized for cases, was 1.36 million. We expect the cases to rise to a maximum in the countries covered to 2.9 million. The death trends in only 22 of the 29 countries considered had stabilized to a logistic model. In these 22 countries (with a combined population of 3.7billion) the deaths as on date were 87,472. These would surely rise to between 121,000 to 355,000 before stabilizing. In the estimates above India most notably has not been included, since its trends have not yet stablised to a logistic unfoldment. At present it is engaged in a titanic struggle through near complete lock downs to restrict the cases and deaths to low levels. Whether this would work to quell the spread to very levels, or whether the problem explodes later is still an open question.
对部分国家可能因covid - 19感染和死亡总数的进一步估计(第2版dt)。2020年4月10日)
我们早些时候估计了一些国家在大流行期间可能出现的病例和死亡人数。这是一次早期的尝试,结果有些试探性。现在有了大约7天的数据,我们可以在本文中提出更好的估计。与前一篇论文一样,我们使用累积病例和死亡的逻辑模型来估计病例和死亡的零增长水平。我们还提供了这些估计的上界。进一步加强了先前的估计,并对病例数和死亡人数增长率已开始下降的一组选定国家作出了新的估计。我们还对这些国家可能出现的病例和死亡的当前增长率进行了估计。这项研究和以前一样,假设感染的传播是一个阶段的逻辑过程,一旦大量感染发生。对于死亡率和病例数较低的国家,情况可能并非如此。在那些传播和死亡人数相对于其人口数量较多、采取更可持续遏制措施的国家,死亡人数可能不会比迄今为止发生的情况多得多。这就是伊朗和意大利的情况。中国和韩国也采取了相当高度协调的方法,尽管病例传播率低,死亡人数相对于其人口而言也很低,但伊朗、意大利、丹麦和土耳其很可能不会出现第二波感染。阿根廷和南非的死亡率增长速度非常快,甚至病例的增长速度也大大放缓。西班牙已将死亡人数的增长稳定在接近零的水平,但由于病例继续以5.7%左右的速度增长,死亡率可能会在一段时间后再次转为正增长。德国和印度尼西亚的死亡和病例以中等高的速度持续上升。日本、马来西亚、巴西和新加坡显示出低至中等的死亡率,但由于病例增长率继续保持在5%至8%之间,这些低(日本)中等的死亡率增长率可能会持续一段时间,然后降至零。法国、瑞典、澳大利亚和泰国的病例数将继续以中等速度增长,尽管死亡人数的增长速度仍然很高。最值得注意的是,美国的死亡率和病例都显示出非常高的增长率,这表明高死亡率可能会持续一段时间。虽然对加拿大、印度、孟加拉国、俄罗斯、墨西哥、英国和菲律宾进行了估计,但它们的价值有限,因为现在对物流模型进行拟合还为时过早。然而,除俄罗斯外,所有这些国家都显示出高死亡率和高发病率。在发病率下降之前,这些国家都可能出现病例持续上升的情况,因此,即使在统计上具有显著意义的情况下,它们目前的死亡率下降情况也可能变得更糟。与前一篇论文一样,我们使用了一个逻辑模型来估计当前的增长率,并在这些增长率停止进一步上升之前对最终稳定的病例和死亡人数进行了预测。对于26个国家(总人口38亿),截至4月9日/10日,病例总数为136万例,其中病例已实现后勤趋势。我们预计,在所覆盖的国家中,病例数将升至290万。在所考虑的29个国家中,只有22个国家的死亡趋势已稳定到一个逻辑模型。在这22个国家(总人口37亿)中,截至目前死亡人数为87,472人。在稳定之前,这一数字肯定会上升到12.1万至35.5万之间。在上述估计数中,最值得注意的是印度没有包括在内,因为它的趋势尚未稳定到后勤展开的程度。目前,它正在进行一场巨大的斗争,几乎完全封锁,将病例和死亡人数限制在低水平。这是否会有效地将蔓延抑制到非常低的水平,或者问题是否会在以后爆发,仍然是一个悬而未决的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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