2020
DOI: 10.1101/2020.04.09.20059683
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Case- fatality rate in COVID- 19 patients: A meta- analysis of publicly accessible database

Abstract: A novel coronavirus was reported in Wuhan, China in December 2019 to cause severe acute respiratory symptoms . In this meta-analysis, we estimated case fatality rate from COVID-19 infection by random effect meta-analysis model with country level data. Publicly accessible web database WorldOMeter (https://www.worldometers.info/coronavirus/) was accessed on 24th March 2020 GMT and reported total number of cases, total death, active cases and seriously ill/ critically ill patients were retrieved. Primary outcome … Show more

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Cited by 8 publications
(4 citation statements)
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“…45 Importantly, higher per capita expenditure on health significantly reduces the risk of COVID-19 deaths. 26 This could be attributed to the fact that a strong health system with sufficient resources is both adaptive, resilient and often has the required manpower and facilities to respond to the higher demand for medical staff and supplies in treating COVID-19 cases.…”
Section: Discussionmentioning
confidence: 99%
“…45 Importantly, higher per capita expenditure on health significantly reduces the risk of COVID-19 deaths. 26 This could be attributed to the fact that a strong health system with sufficient resources is both adaptive, resilient and often has the required manpower and facilities to respond to the higher demand for medical staff and supplies in treating COVID-19 cases.…”
Section: Discussionmentioning
confidence: 99%
“…The frequency of fatal outcomes is most commonly measured by case fatality rates, [1][2][3] infection fatality rates 4 5 or excess number of deaths. 6 7 Early estimates have been challenged and updated [8][9][10][11] during and after the first wave in spring 2020. Case and infection fatality rates have been criticised because interpretation depends on public health measures taken, testing and reporting systems, assessment of cause of death and underlying demographic characteristics, most importantly age distributions.…”
Section: Introductionmentioning
confidence: 99%
“…The ongoing coronavirus (COVID-19) outbreak starting in China [1] expanded rapidly over the globe and many countries respond to the spread of the disease by a lock-down to limit contacts between people. Many countries are heavily affected by the outbreak and there is a high deaths rate [2]. The deaths probability will be an important parameter guiding how long lock-down and social distancing are necessary.…”
Section: Introductionmentioning
confidence: 99%