References | Statistical analysis | Confounding variables | Results |
---|---|---|---|
Escobar et al. (2020)Â [25] | Multiple linear regression | Stage of COVID-19 pandemic Development Rurality Population density Age structure | Inverse association between BCG vaccination and COVID-19 mortality after controlling for confounding variables |
de Chaisemartin and de Chaisemartin (2021)Â [26] | Regression discontinuity | None reported due to cohort design, no variable cross-country comparisons | Universal BCG policy has no effect on COVID-19 cases, hospitalizations, and deaths per 1000 inhabitants |
Chimoyi et al. (2020) [27] | Log-linear regression | GDP per capita Population size Population > 65 years Tests per capita Stringency level at 100th case Smoking prevalence Difference between date of 100th case and end of May 2020 | No significant association between BCG status and cases and deaths even when adjusted for different time points Positive association seen in population size, population > 65 years, and tests per capita |
Wickramasinghe et al. (2020)Â [28] | Linear regression | Income level | Income status had a statistically significant effect on caseload; universal BCG vaccination policy had a significant inverse effect |
Szigeti et al. (2020) [29] | Multiple regression | Historic colonization status Median age Urban population percentage Population density Air passengers | Deaths per million as dependent variable: BCG vaccination was statistically significant Deaths per case as dependent variable: BCG vaccination was non-significant ‘Historic colonization status’, median age were statistically significant |
Berg et al. (2020)Â [31] | Linear mixed effect model | Cultural dimensions Individualism versus collectivism Power distance | Countries with BCG vaccination policy until at least 2000 had significantly slower growth rate of COVID-19 Significantly lower growth rate of COVID-19 deaths in countries with BCG vaccinations until at least 2000 |
Ogimi et al. (2021)Â [32] | Nested linear model | Measles vaccine coverage (MCV) Healthcare Access and Quality Index (HAQI) Life expectancy Number of hospital beds Physicians per population GDP | BCG was marginally associated with lower COVID-19 death rates. Increased association between BCG and COVID-19 as a function of HAQI MCV was also associated with lower COVID-19 deaths, but no significant association when adjusted for HAQI |
Ebina-Shibuya et al. (2020)Â [33] | Multiple regression | Gross national income, Life expectancy at birth Infant mortality at 1st year Population density Annual average temperature | Controlling for confounders, countries without BCG policy have increased COVID-19 associated mortality compared to those with BCG policy |
Brooks et al. (2021)Â [34] | Linear regression | GDP Population density Total population Population over 65 Average temperature Stringency index Polio and measles vaccine coverage | BCG vaccination was consistently associated with lower COVID-19 related mortality |
Abdulah and Hassan (2021)Â [35] | Generalized linear model | Health system indicators Social insurance Social assistance Mandatory individual account system Economic status based on the World Bank MCV, DTP3, PCV vaccination | No significant association between infection and mortality and BCG vaccination |
Rivas et al. (2021)Â [36] | Logistic regression | Pre-existing comorbidities Age and sex Pneumococcal, meningococcal, influenza vaccination | Decreased incidence of medically diagnosed or RT-PCR positive COVID-19 in those with history of BCG vaccination Controlling for age, sex and comorbidities, less seroconversion and significantly lower anti-SARS-CoV-2 IgG index were seen in those with history of BCG vaccination |
Klinger et al. (2020)Â [37] | Linear regression | Quarantine status Economic development indicators Chronic disease prevalence Death rate from cardiovascular disorders | BCG administration years is consistently within the top two most significant coefficients compared to 23 confounding variables and ranks high in terms of coefficient effect |