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Adjusting Reported COVID-19 Deaths for the Prevailing Routine Death Surveillance in India

机译:调整报告的Covid-19在印度普遍的常规死亡监测

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In India, the “low mortality” narrative based on the reported COVID-19 deaths may be causing more harm than benefit. The extent to which COVID-19 deaths get reported depends on the coverage of routine death surveillance [death registration along with medical certification of cause of death (MCCD)] and the errors in MCCD. In India, the coverage of routine death surveillance is 18.1%. This is compounded by the fact that COVID-19 death reporting is focused among reported cases and the case detection ratio is low. To adjust for the coverage of routine death surveillance and errors in MCCD, we calculated a correction (multiplication) factor at national and state level to produce an estimated number of COVID-19 deaths. As on July 31, 2020, we calculated the infection fatality ratio (IFR) for India (0.58:100–1.16:100) using these estimated COVID-19 deaths; this is comparable with the IFR range in countries with near perfect routine death surveillance. We recommend the release of excess deaths data during COVID-19 (at least in states with high death registration) and post-mortem COVID-19 testing as a surveillance activity for a better understanding of under-reporting. In its absence, we should adjust reported COVID-19 deaths for the coverage of routine death surveillance and errors in MCCD. This way we will have a clear idea of the true burden of deaths and our public health response will never be inadequate. We recommend that “reported” or “estimated” is added before the COVID-19 death data and related indicators for better clarity and interpretation.
机译:在印度,基于报告的Covid-19死亡的“低死亡率”叙事可能会导致伤害更大。 Covid-19死亡人数涉及的程度取决于常规死亡监测的覆盖范围[死亡登记以及死亡事业原因(MCCD)]以及MCCD的错误。在印度,常规死亡监测的覆盖率为18.1%。这使得Covid-19死亡报告集中在报告的病例中,并且案例检测率低是较低的。为了调整常规死亡监测和MCCD中的错误的覆盖,我们计算了国家和州水平的校正(乘法)因素,以产生估计的Covid-19死亡人数。截至2020年7月31日,我们计算了印度的感染死亡率(IFR)(0.58:100-16:100),使用这些估计的Covid-19死亡;这与IFR系列与近乎完美的常规死亡监测有关的IFR系列相当。我们建议在Covid-19(至少在高死亡登记)和验尸后的Covid-19测试中释放过量的死亡数据,以便更好地了解报告后的监测活动。在缺席时,我们应该调整报告的Covid-19死亡,以便覆盖常规死亡监测和MCCD中的错误。这样我们就会清楚地了解真正的死亡负担,我们的公共卫生反应永远不会不足。我们建议在Covid-19死亡数据和相关指标之前添加“报告”或“估计”,以提高清晰度和解释。

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