Literature DB >> 33039257

COVID-19: Mathematical estimation of delay to deaths in relation to upsurges in positive rates.

Victor Grech1, Hagen Scherb2.   

Abstract

INTRODUCTION: The world continues in the grip of the COVID-19 pandemic. Widespread public health measures and travel restrictions have dampened viral spread but outbreaks are expected as restrictions are raised. This study was carried out in order to devise an approach that may help to predict deaths based on upsurges (spikes or waves) of cases.
METHODS: Publically available data for daily new cases and deaths from December 2019 to August 2020 was obtained from the Our World In Data website. For the purposes of more detailed analysis, in addition to total global data, three countries were chosen for sub analysis: Italy, Germany and the United States.
RESULTS: Delay to death (days) were as follows: World: 20.6 (95% CI: 8.4-32.8); USA: 19.8 (95% CI: 9.3-30.4); Germany: 18.8 (95% CI: 6.1-31.6); Italy: 2.4 (95% CI -10.2-15.0). DISCUSSION: Countries may be able to contain viral resurgence by adhering to WHO advice for reopening from restrictions/lockdowns. However, outbreaks are almost inevitable and deaths are to be expected approximately 20 days after rises in cases. This paper may therefore aid healthcare systems and hospitals for surges in cases as positive COVID-19 swabs increase in any given locality. Italy was an exception in these results as the initial surge and swabs taken represented symptomatic/admitted cases and not community surveillance tracking and tracing.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coronavirus; Pandemics; Population health; Population surveillance; Prevention

Year:  2020        PMID: 33039257      PMCID: PMC7528970          DOI: 10.1016/j.earlhumdev.2020.105210

Source DB:  PubMed          Journal:  Early Hum Dev        ISSN: 0378-3782            Impact factor:   2.079


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