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Early epidemiological indicators, outcomes, and interventions of COVID-19 pandemic: A systematic review

BACKGROUND: Coronavirus disease-2019 (COVID-19), a pandemic that brought the whole world to a standstill, has led to financial and health care burden. We aimed to evaluate epidemiological characteristics, needs of resources, outcomes, and global burden of the disease. METHODS: Systematic review was...

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Autores principales: Patel, Urvish, Malik, Preeti, Mehta, Deep, Shah, Dhaivat, Kelkar, Raveena, Pinto, Candida, Suprun, Maria, Dhamoon, Mandip, Hennig, Nils, Sacks, Henry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567430/
https://www.ncbi.nlm.nih.gov/pubmed/33110589
http://dx.doi.org/10.7189/jogh.10.020506
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author Patel, Urvish
Malik, Preeti
Mehta, Deep
Shah, Dhaivat
Kelkar, Raveena
Pinto, Candida
Suprun, Maria
Dhamoon, Mandip
Hennig, Nils
Sacks, Henry
author_facet Patel, Urvish
Malik, Preeti
Mehta, Deep
Shah, Dhaivat
Kelkar, Raveena
Pinto, Candida
Suprun, Maria
Dhamoon, Mandip
Hennig, Nils
Sacks, Henry
author_sort Patel, Urvish
collection PubMed
description BACKGROUND: Coronavirus disease-2019 (COVID-19), a pandemic that brought the whole world to a standstill, has led to financial and health care burden. We aimed to evaluate epidemiological characteristics, needs of resources, outcomes, and global burden of the disease. METHODS: Systematic review was performed searching PubMed from December 1, 2019, to March 25, 2020, for full-text observational studies that described epidemiological characteristics, following MOOSE protocol. Global data were collected from the JHU-Corona Virus Resource Center, WHO-COVID-2019 situation reports, KFF.org, and Worldometers.info until March 31, 2020. The prevalence percentages were calculated. The global data were plotted in excel to calculate case fatality rate (CFR), predicted CFR, COVID-19 specific mortality rate, and doubling time for cases and deaths. CFR was predicted using Pearson correlation, regression models, and coefficient of determination. RESULTS: From 21 studies of 2747 patients, 8.4% of patients died, 20.4% recovered, 15.4% were admitted to ICU and 14.9% required ventilation. COVID-19 was more prevalent in patients with hypertension (19.3%), smoking (11.3%), diabetes mellitus (10%), and cardiovascular diseases (7.4%). Common complications were pneumonia (82%), cardiac complications (26.4%), acute respiratory distress syndrome (15.7%), secondary infection (11.2%), and septic shock (4.3%). Though CFR and COVID-19 specific death rates are dynamic, they were consistently high for Italy, Spain, and Iran. Polynomial growth models were best fit for all countries for predicting CFR. Though many interventions have been implemented, stern measures like nationwide lockdown and school closure occurred after very high infection rates (>10cases per 100 000population) prevailed. Given the trend of government measures and decline of new cases in China and South Korea, most countries will reach the peak between April 1-20, if interventions are followed. CONCLUSIONS: A collective approach undertaken by a responsible government, wise strategy implementation and a receptive population may help contain the spread of COVID-19 outbreak. Close monitoring of predictive models of such indicators in the highly affected countries would help to evaluate the potential fatality if the second wave of pandemic occurs. The future studies should be focused on identifying accurate indicators to mitigate the effect of underestimation or overestimation of COVID-19 burden.
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spelling pubmed-75674302020-10-21 Early epidemiological indicators, outcomes, and interventions of COVID-19 pandemic: A systematic review Patel, Urvish Malik, Preeti Mehta, Deep Shah, Dhaivat Kelkar, Raveena Pinto, Candida Suprun, Maria Dhamoon, Mandip Hennig, Nils Sacks, Henry J Glob Health Research Theme 1: COVID-19 Pandemic BACKGROUND: Coronavirus disease-2019 (COVID-19), a pandemic that brought the whole world to a standstill, has led to financial and health care burden. We aimed to evaluate epidemiological characteristics, needs of resources, outcomes, and global burden of the disease. METHODS: Systematic review was performed searching PubMed from December 1, 2019, to March 25, 2020, for full-text observational studies that described epidemiological characteristics, following MOOSE protocol. Global data were collected from the JHU-Corona Virus Resource Center, WHO-COVID-2019 situation reports, KFF.org, and Worldometers.info until March 31, 2020. The prevalence percentages were calculated. The global data were plotted in excel to calculate case fatality rate (CFR), predicted CFR, COVID-19 specific mortality rate, and doubling time for cases and deaths. CFR was predicted using Pearson correlation, regression models, and coefficient of determination. RESULTS: From 21 studies of 2747 patients, 8.4% of patients died, 20.4% recovered, 15.4% were admitted to ICU and 14.9% required ventilation. COVID-19 was more prevalent in patients with hypertension (19.3%), smoking (11.3%), diabetes mellitus (10%), and cardiovascular diseases (7.4%). Common complications were pneumonia (82%), cardiac complications (26.4%), acute respiratory distress syndrome (15.7%), secondary infection (11.2%), and septic shock (4.3%). Though CFR and COVID-19 specific death rates are dynamic, they were consistently high for Italy, Spain, and Iran. Polynomial growth models were best fit for all countries for predicting CFR. Though many interventions have been implemented, stern measures like nationwide lockdown and school closure occurred after very high infection rates (>10cases per 100 000population) prevailed. Given the trend of government measures and decline of new cases in China and South Korea, most countries will reach the peak between April 1-20, if interventions are followed. CONCLUSIONS: A collective approach undertaken by a responsible government, wise strategy implementation and a receptive population may help contain the spread of COVID-19 outbreak. Close monitoring of predictive models of such indicators in the highly affected countries would help to evaluate the potential fatality if the second wave of pandemic occurs. The future studies should be focused on identifying accurate indicators to mitigate the effect of underestimation or overestimation of COVID-19 burden. International Society of Global Health 2020-12 2020-08-15 /pmc/articles/PMC7567430/ /pubmed/33110589 http://dx.doi.org/10.7189/jogh.10.020506 Text en Copyright © 2020 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Research Theme 1: COVID-19 Pandemic
Patel, Urvish
Malik, Preeti
Mehta, Deep
Shah, Dhaivat
Kelkar, Raveena
Pinto, Candida
Suprun, Maria
Dhamoon, Mandip
Hennig, Nils
Sacks, Henry
Early epidemiological indicators, outcomes, and interventions of COVID-19 pandemic: A systematic review
title Early epidemiological indicators, outcomes, and interventions of COVID-19 pandemic: A systematic review
title_full Early epidemiological indicators, outcomes, and interventions of COVID-19 pandemic: A systematic review
title_fullStr Early epidemiological indicators, outcomes, and interventions of COVID-19 pandemic: A systematic review
title_full_unstemmed Early epidemiological indicators, outcomes, and interventions of COVID-19 pandemic: A systematic review
title_short Early epidemiological indicators, outcomes, and interventions of COVID-19 pandemic: A systematic review
title_sort early epidemiological indicators, outcomes, and interventions of covid-19 pandemic: a systematic review
topic Research Theme 1: COVID-19 Pandemic
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567430/
https://www.ncbi.nlm.nih.gov/pubmed/33110589
http://dx.doi.org/10.7189/jogh.10.020506
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