CMI: Update on local and global SARS-CoV-2 seroprevalence

Background: Given the limited supply of vaccines, understanding the status of human SARS-CoV-2 infection can help prioritize the deployment of vaccination
.

In the case of limited vaccine supply, understanding the status of human SARS-CoV-2 infection can help prioritize the deployment of vaccination
.

Purpose: Here, we conducted a systematic review and meta-analysis to estimate the global and regional SARS-CoV-2 seroprevalence
.

Data source: Our system searched the peer-reviewed databases (PubMed, Embase, and Scopus) and preprint servers (medRxiv, bioRxiv, and SSRN) of articles published between January 1, 2020 and March 30, 2021
.

Study eligibility criteria: A population-based study reporting the SARS-CoV-2 seroprevalence in the general population was included
.

Participants: People of different ages, occupations, education levels, ethnic backgrounds, and socioeconomic status in the general population
.

Intervention: No intervention
.

Methods: We used random effects meta-analysis and empirical Bayesian methods to estimate pooled seroprevalence, and performed subgroup and meta-regression analysis to explore potential sources of heterogeneity and the relationship between seroprevalence and sociodemographics Relationship
.

Results: We identified 241 eligible studies involving 6.
3 million people in 60 countries
.

The global comprehensive seroprevalence rate is 9.

Figure 1 shows the estimated number of SARS-CoV-2 seroprevalence rates in various countries, ranking countries based on the estimated total number of seropositive individuals
.

Figure 1 shows the estimated number of SARS-CoV-2 seroprevalence rates in various countries, ranking countries based on the estimated total number of seropositive individuals
.

Figure 2 Random effects Meta regression analysis shows that with the increase of income level (coefficient [C]=-1.
65×10-6; P value<0.
001) and high density index (C=-0.
4001; P value<0.
001), serum The positive rate showed a downward trend
.

Figure 2 Random effects Meta regression analysis shows that with the increase of income level (coefficient [C]=-1.
65×10-6; P value<0.
001) and high density index (C=-0.
4001; P value<0.
001), serum The positive rate showed a downward trend
.

Figure 3 Random effects Meta regression analysis shows that from the beginning of the new coronary pneumonia epidemic to the first day (C=0.
0013; P value<0.
001) and the last day (C=0.
0004; P value<0.
001), the seroprevalence rate of a country is significant The upward trend
.

Figure 3 Random effects Meta regression analysis shows that from the beginning of the new coronary pneumonia epidemic to the first day (C=0.
0013; P value<0.
001) and the last day (C=0.
0004; P value<0.
001), the seroprevalence rate of a country is significant The upward trend
.

Conclusion: This study shows that by the middle of 2021, the majority of the world’s population is still highly susceptible to SARS-CoV-2 virus, and emphasizes the need to strengthen vaccines for vulnerable groups, especially those in developing countries, and strengthen prevention Measures until the formation of "herd immunity" against SARS-CoV-2
.

This study shows that by mid-2021, most of the world’s population is still highly susceptible to the SARS-CoV-2 virus.
It emphasizes the need to strengthen vaccines and strengthen preventive measures for vulnerable groups, especially those in developing countries.
Until the formation of "herd immunity" against SARS-CoV-2
.

Original source:

Rostami A, Sepidarkish M, Fazlzadeh A, et al.

Update on SARS-CoV-2 seroprevalence-Regional and worldwide.
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