Published online Jan 6, 2021. doi: 10.12998/wjcc.v9.i1.118
Peer-review started: September 15, 2020
First decision: October 18, 2020
Revised: November 2, 2020
Accepted: November 21, 2020
Article in press: November 21, 2020
Published online: January 6, 2021
Processing time: 107 Days and 21.7 Hours
Large inter-individual and inter-population differences in the susceptibility to and outcome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or coronavirus disease 2019 (COVID-19) have been noted. Understanding these differences and how they influence vulnerability to infection and disease severity is critical to public health intervention.
To evaluates the inter-population differences in the SARS-CoV-2 or COVID-19 between China and North America.
The objective of this systematic review and meta-analysis is to analyze and compare the profile of COVID-19 cases between China and North America as two regions that differ in many environmental, host and healthcare factors related to disease risk.
We conducted a meta-analysis to examine and compare demographic information, clinical symptoms, comorbidities, disease severity and levels of disease biomarkers of COVID-19 cases from clinical studies and data from China (105 studies) and North America (19 studies).
Fever, cough, fatigue and dyspnea were the most common clinical symptoms of COVID-19 in both study regions. Hypertension, diabetes and cancer were the most prevalent comorbidities in COVID-19 cases from China whereas obesity, hypertension and diabetes were the most prevalent in North America. Prevalence of comorbidities in COVID-19 cases increased with age but was at younger ages in cases from China compared to those from North America. Inflammatory markers such as C-reactive protein were 4.5-fold higher in the North American cases than in cases from China.
The differences in COVID-19 profile between China and North America reflects the differences in environmental-, host- and healthcare-related factors between the two regions.
Inter-population differences – together with intra-population variability – underline the need to characterize the effect of health inequities and inequalities on public health response to COVID-19 and can assist in preparing for the re-emergence of the epidemic.