Biological and epidemiological trends in the prevalence and mortality due to outbreaks of novel coronavirus COVID-19

Meo, Sultan Ayoub; Al-Khlaiwi, Thamir; Usmani, Adnan Mahmood; Meo, Anusha Sultan; Klonoff, David C.; Hoang, Thanh D.

doi:10.1016/j.jksus.2020.04.004

Cited by 112 publications

(105 citation statements)

References 10 publications

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“…The incidence rate of COVID-19 was obtained using country reported cases and country population size from the Worldometer website [3]. The Worldometer specifies the source of each country data, which are based on official media venues, and has been used in previous publications [15]. The incidence rate per 1000 was calculated using the equation: (total cases/ population size) *1000.…”

Section: Outcome Variablesmentioning

confidence: 99%

The Association of Country-Level Factors with Outcomes of COVID-19: Analysis of the pandemic after one million cases

Aldibasi¹,

Alharbi²,

Alkelya³

et al. 2020

Preprint

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Background: Coronavirus infectious disease 2019 (COVID-19) is an ongoing global pandemic. Without a vaccine or an effective treatment in the near horizon, only public health measures have been effective in potentially reducing its impact. Due to the wide disparity in current response from individual countries, studying factors associated with public health measures may inform ongoing efforts. Therefore, this study aims to analyze the contributing factors across the globe with specific measures of the disease. Methods: This is a cross-sectional study that used publicly available data of COVID-19 cases as of April 6, 2020. We analyzed country public information on demographic and socioeconomic indicators published in different sources. The association between country-level variables and the incidence rate, the recovery rate, severity of the cases, and mortality rate were evaluated using regression techniques. Results: Multiple factors were found to be significantly associated with COVID-19 outcomes. The number of tests per million, GDP per capita, a country population size of 2020, country median age, and life expectancy are associated with the incidence rate of COVID19. The yearly net change population, migrants, and tourism are associated with the recovery rate of COVID-19. The number of tests per million and male life expectancy are associated with the critical cases rate of COVID-19. Finally, the GDP per capita, land area (Km2), life expectancy, and tourism are associated with the mortality rate of COVID-19. Conclusion: Overall, higher GDP per capita, median age, and a higher number of lab tests were found to be associated with more incidents of COVID-19 cases, which indicates a better and maintained system for detection, reporting, and management of the pandemic. This study suggests that investing in better screening and testing may reveal more cases that can be managed and controlled; while limiting travelers would further support the pandemic control.

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Section: Outcome Variablesmentioning

confidence: 99%

The Association of Country-Level Factors with Outcomes of COVID-19: Analysis of the pandemic after one million cases

Aldibasi¹,

Alharbi²,

Alkelya³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…At the writing of this article, over 5 million people nationwide have been confirmed to be infected with coronavirus disease-2019 (COVID- 19), the illness caused by SARS-CoV-2 [1]. The mortality rate for COVID-19 remains more than 10 times higher than that of influenza despite the lower prevalence rate [1][2][3]. Risk factors for intensive care unit (ICU) admission and negative outcomes with COVID-19 include obesity, hypertension, chronic lung disease, and cardiovascular disease [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Racial Disparities in COVID-19 Hospitalization and In-hospital Mortality at the Height of the New York City Pandemic

Renelus

Khoury

Chandrasekaran

et al. 2020

J. Racial and Ethnic Health Disparities

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Objectives Investigate whether or not race is associated with differences in hospitalization and survival to discharge among patients with coronavirus disease-2019 (COVID-19) at the height of the pandemic in New York City (NYC). Methods Single-center retrospective cohort study of COVID-19 patients hospitalized at our university-affiliated NYC hospital from 3/10/20 through 4/13/20 with follow-up to 5/1/20. Our primary endpoint was hospitalization rate among patients with confirmed COVID-19 compared with the regional population based on race. Our secondary endpoint survival to discharge among hospitalized COVID-19 patients. NYC Department of Health data were used to calculate hospitalization odds ratios. Chi-square and t tests were used to compare categorial and continuous variables, respectively. Cox proportional hazards regression and predictive analysis were used to investigate our endpoints further. Results Our cohort of 734 patients included 355 women (48.4%), 372 Blacks (50.7%), 214 Whites (29.2%), and 92 Hispanics (12.5%) in our analysis. Blacks were nearly twice as likely as Whites to require hospitalization for COVID-19 (OR 1.89, 95% CI, 1.59-2.24, p < 0.001). Hispanics were also more likely to suffer in-hospital mortality from COVID-19 compared with Whites (HR 1.84; 95% CI 1.21-2.80; p = 0.005). There was a non-significant increased hazard of in-hospital mortality among Blacks when compared with Whites (HR, 1.30; 95% CI, 0.95-1.78; p = 0.09). Conclusions and Relevance Blacks were more likely than Whites to require hospitalization for COVID-19 while Hispanics were more likely to experience in-hospital mortality. Further investigation into the socioeconomic factors underlying racial disparities in COVID-19 survival and severity requiring hospitalization is needed on a national scale.

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“…Hemida et al 55 The SARS-CoV-2 outbreak from a one health perspective Review Islam et al 56 Emergence of deadly severe acute respiratory syndrome coronavirus-2 during 2019-2020 Review Meo et al 57 Biological and Epidemiological Trends in the Prevalence and Mortality due to Outbreaks of Novel Coronavirus COVID-19…”

Section: Editorialmentioning

confidence: 99%

Mapping COVID-19 related research from Saudi Arabia, a scoping review

Almaghlouth

Islam

Alamro

et al. 2020

SMJ

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To map research production by Saudiaffiliated investigators in order to identify areas of strength and weakness. Method: We followed the Arksey and O'Malley (2005) framework. Medline and Cochrane databases were searched with a focus on identifying articles related to COVID-19 and Saudi Arabia following the PRISMA protocol. The study was conducted at King Saud University, Riyadh, Saudi Arabia between March and May 2020. Results: A total of 53 articles were ultimately included. Most of the research production from Saudi Arabia was opinion and narrative reviews related to the clinicopathological features of COVID-19 as well as control and prevention of virus spread. Systematic Review Conclusion: The results of this scoping review identify a relative deficiency in original research, which requires further investigation.

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Biological and epidemiological trends in the prevalence and mortality due to outbreaks of novel coronavirus COVID-19

Abstract: The novel coronavirus infection outbreak has posed a major threat to international health system and economy. This study is aimed at investigating the biological and epidemiological trends in the prevalence and mortality due to outbreaks of novel coronavirus (COVID-19) infections.

Cited by 112 publications

References 10 publications

The Association of Country-Level Factors with Outcomes of COVID-19: Analysis of the pandemic after one million cases

The Association of Country-Level Factors with Outcomes of COVID-19: Analysis of the pandemic after one million cases

Racial Disparities in COVID-19 Hospitalization and In-hospital Mortality at the Height of the New York City Pandemic

Mapping COVID-19 related research from Saudi Arabia, a scoping review

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