Level of underreporting including underdiagnosis before the first peak of COVID-19 in various countries: Preliminary retrospective results based on wavelets and deterministic modeling
Level of underreporting including underdiagnosis before the first peak of COVID-19 in various countries: Preliminary retrospective results based on wavelets and deterministic modeling
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DOI:
10.1017/ice.2020.116
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发表时间:
2020-07-01
影响因子:
4.5
通讯作者:
Rao, Arni S. R. Srinivasa
中科院分区:
文献类型:
--
作者:
Krantz, Steven G.;Rao, Arni S. R. Srinivasa
We estimated the underreporting of the novel coronavirus or COVID-19 as of March 9, 2020, in various countries until the first peak occurred in each country that had reported≥ 500 cases of COVID-19 as of March 9, 2020. Our retrospective model-based estimations of underreporting (including those due to underdiagnosis) will be helpful in assessing pandemic preparedness. The ratio of reported COVID-19 cases to model-based predictions of COVID-19 for 8 major countries that had reported≥ 500 cases up to March 9, 2020, are provided (Table 1, column l). COVID-19 reporting in France, Germany, Italy, and South Korea was comparatively much better than in other countries. For the United States, the data as of March 9, 2020, were not sufficient to provide a robust estimate.According to Situational Report 49, released by the World Health Organization (WHO) on March 9, 2020, 1 there had been 109,000 cases of COVID-19 and 3,800 related deaths worldwide. Most of these cases (~ 80,700) were from China and 8 other countries: Italy, South Korea, Iran, France, Germany, Spain, the United States, and Japan. All of these countries have reported≥ 500 confirmed cases of COVID-19. 1, 2 However, identification of possible cases of COVID-19 is arguably more important in controlling high traffic to hospitals and emergency departments. 3 Earlier models on COVID-19 did reflect the importance of data collection. 4 Actual pandemic preparedness depends on true cases in the population, whether or not they are identified. Preventing transmission to the susceptible from these true cases depends on how well we can assess underreported and underdiagnosed situations promptly. A retrospective analysis of the data will be useful for the next epidemic but not for the current epidemic. Hence, we are proposing to use our methods, which we have been developing in recent years, to provide model-based estimates of underreporting for COVID-19 within a few weeks. New methods using harmonic analysis and wavelets that we are developing—some of them recently accepted—will be of timely use. 5 We propose a model-based evaluation of underreporting of coronavirus (COVID-19) in various countries using