Background: Understanding the epidemiological parameters that determine the transmission dynamics of COVID-19 is essential for public health intervention. Globally, a number of studies were conducted to estimate the average serial interval and incubation period of COVID-19. Combining findings of existing studies that estimate the average serial interval and incubation period of COVID-19 significantly improves the quality of evidence. Hence, this study aimed to determine the overall average serial interval and incubation period of COVID-19. Methods: We followed the PRISMA checklist to present this study. A comprehensive search strategy was carried out from international electronic databases (Google Scholar, PubMed, Science Direct, Web of Science, CINAHL, and Cochrane Library) by two experienced reviewers (MAA and DBK) authors between the 1st of June and the 31st of July 2020. All observational studies either reporting the serial interval or incubation period in persons diagnosed with COVID-19 were included in this study. Heterogeneity across studies was assessed using the I² and Higgins test. The NOS adapted for cross-sectional studies was used to evaluate the quality of studies. A random effect Meta-analysis was employed to determine the pooled estimate with 95% (CI). Microsoft Excel was used for data extraction and R software was used for analysis. Results: We combined a total of 23 studies to estimate the overall mean serial interval of COVID-19. The mean serial interval of COVID-19 ranged from 4. 2 to 7.5 days. Our meta-analysis showed that the weighted pooled mean serial interval of COVID-19 was 5.2 (95%CI: 4.9–5.5) days. Additionally, to pool the mean incubation period of COVID-19, we included 14 articles. The mean incubation period of COVID-19 also ranged from 4.8 to 9 days. Accordingly, the weighted pooled mean incubation period of COVID-19 was 6.5 (95%CI: 5.9–7.1) days. Conclusions: This systematic review and meta-analysis showed that the weighted pooled mean serial interval and incubation period of COVID-19 were 5.2, and 6.5 days, respectively. In this study, the average serial interval of COVID-19 is shorter than the average incubation period, which suggests that substantial numbers of COVID-19 cases will be attributed to presymptomatic transmission.

Background: Asymptomatic SARS-CoV-2 infections are responsible for potentially significant transmission of COVID-19. Worldwide, a number of studies were conducted to estimate the magnitude of asymptomatic COVID-19 cases. However, there is a need for more robust and well-designed studies to have a relevant public health intervention. Synthesis of the available studies significantly strengthens the quality of evidences for public health practice. Thus, this systematic review and meta-analysis aimed to determine the overall magnitude of asymptomatic COVID-19 cases throughout the course of infection using available evidences.Methods: We followed the PRISMA checklist to present this study. Two experienced review authors (MA and DBK) were systematically searched international electronic databases for studies. We performed meta-analysis using R statistical software. The overall weighted proportion of asymptomatic COVID-19 cases throughout the course infection was computed. The pooled estimates with 95% confidence intervals were presented using forest plot. Egger’s tests were used to assess publication bias, and primary estimates were pooled using a random effects model. Furthermore, a sensitivity analysis was conducted to assure the robustness of the result.Results: A total of 28 studies that satisfied the eligibility criteria were included in this systematic review and meta-analysis. Consequently, in the meta-analysis, a total of 6,071 COVID-19 cases were included. The proportion of asymptomatic infections among the included studies ranged from 1.4% to 78.3%. The findings of this meta-analysis showed that the weighted pooled proportion of asymptomatic COVID-19 cases throughout the course of infection was 25% (95%CI: 16–38). The leave-one out result also revealed that the weighted pooled average of asymptomatic SARS-CoV-2 infection was between 28% and 31.4%.Conclusions: In conclusion, one-fourth of SARS-CoV-2 infections are remained asymptomatic throughout the course infection. Scale-up of testing, which targeting high risk populations is recommended to tackle the pandemic.

Background: Globally Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome (HIV/AIDS) is an ongoing public health issue associated with high morbidity and mortality. Efforts have been made to reduce HIV/AIDS-related morbidity and mortality by delivering antiretroviral therapy. However, the incidence and predictors of mortality in border areas like Metema were not investigated. This study aimed to assess predictors of mortality rate among adult HIV-positive patients on antiretroviral therapy at Metema Hospital. Methods: Retrospective follow-up study was employed among ART patients from January 1, 2013, to December 30, 2018. Data were entered in Epi-data 3.1 and exported to STATA 14 for analysis. Kaplan–Meier and Log-Rank test was used to compare survival differences among categories of different variables. In bi-variable analysis p-values < 0.20 were entered into a multivariable analysis. Multivariate Weibull model was used to measure the risk of death and identify the significant predictors of death. Variables that were statistically significant at p-value < 0.05 were concluded as predictors of mortality. Result: A total of 542 study participants were included. The overall incidence rate was 6.7 (95% CI: 5.4–8.4) deaths per 100 person-years of observation. Being male (HR = 2.4; 95% CI: 1.24–4.62), STAGE IV (HR = 5.64; 95% CI: 2.53–12.56), stage III (HR = 3.31; 95% CI: 1.35–8.10), TB-coinfection (HR = 3.71; 95% CI: 1.59–8.64), low hemoglobin (HR = 4.14; 95% CI: 2.18–7.86), BMI ≤ 15.4 kg/m² (HR = 2.45; 95% CI: 1.17–5.10) and viral load > 1000 copy/ml (HR = 6.70; 95% CI: 3.4–13.22) were found to be a significant predictor for mortality among HIV patients on ART treatment. Conclusion: The incidence of death was high. Being male, viral load, those with advanced STAGE (III & IV), TB co-infected, low BMI, and low hemoglobin were at a higher risk of mortality. Special attention should be given to male patients and high public interventions needed among HIV patients on ART to reduce the mortality rate.

Background: Early initiation of breastfeeding is one of the most simple and essential intervention for child development and survival in the world. World Health Organization recommended to begin breast milk with one hour after delivery. The objective of this study was to determine the magnitude of early initiation of breastfeeding in Sub-Saharan Africa using DHS data set.Methods: This study was carried out within 32 Sub-Saharan African countries from 2010–2020, a pooled study of early initiation of breastfeeding was performed. For assessing model fitness and contrast, intra-class correlation coefficient, median odds ratio, proportional change in variance, and deviance were used. In order to identify possible covariates associated with early initiation of breastfeeding in the study area, the multilevel multivariable logistic regression model was adapted. Adjusted Odds Ratio was used with 95% confidence interval to declare major breastfeeding factors.Result: The pooled prevalence of early initiation of breastfeeding in Sub-Saharan Africa countries was 57% (95% CI; 56%—61%), the highest prevalence rate of early initiation of breastfeeding was found in Malawi while the lowest prevalence was found in Congo Brazzaville (24%). In multilevel multivariable logistic regression model; wealth index (AOR = 1.20; 95% CI 1.16 – 1.26), place of delivery (AOR = 1.97; 95% CI 1.89 – 2.05), skin-to-skin contact (AOR = 1.51; 95% CI 1.47 – 1.57), mode of delivery (AOR = 0.27; 95% CI 0.25 – 0.29), media exposure (AOR = 1.36; 95% CI 1.31 – 1.41) were significantly correlated with early initiation of breastfeeding in Sub-Saharan Africa.Conclusion: The magnitude of early initiation of breastfeeding rate was low in Sub-Saharan Africa. Covariates significantly associated with early initiation of breastfeeding was wealth index, place of delivery, mode of delivery, women educational status, and media exposure. Structural improvements are required for women with caesarean births to achieve optimal breastfeeding practice in Sub-Saharan Africa.

Background: Despite gains throughout the 20th century, maternal health remains a major public health concern. Despite global efforts to enhance access to maternal and child healthcare services, women in low- and middle-income countries still have a high risk of dying during pregnancy and after birth. This study aimed to determine the magnitude and determinants of late antenatal care initiation among reproductive age women in Gambia. Method: Secondary data analysis was conducted using the 2019-20 Gambian demographic and health survey data. All reproductive age women who gave birth in the five years preceding the survey and who had an antenatal care visit for the last child were included in this study. The total weighted sample size analyzed was 5310. Due to the hierarchical nature of demographic and health survey data, a multi-level logistic regression model was performed to identify the individual and community level factors associated with delayed first antenatal care initiation. Result: In this study, the prevalence of delayed initiation of initial antenatal care was 56% ranged from 56 to 59%. Women with age 25–34 [Adjusted Odds Ratio = 0.77; 95% CI 0.67–0.89], 35–49 [Adjusted Odds Ratio = 0.77; 95% CI 0.65–0.90] and women reside in urban area [Adjusted Odds Ratio = 0.59; 95% CI 0.47–0.75] respectively had lower odds of delayed first antenatal care initiation. While women with unplanned pregnancy [Adjusted Odds Ratio = 1.60; 95% CI 1.37–1.84], no health insurance [Adjusted Odds Ratio = 1.78; 95% CI 1.14–2.76] and previous history of cesarean delivery [Adjusted Odds Ratio = 1.50; 95% CI 1.10–2.07] had higher odds of delayed initiation of antenatal care. Conclusion: Despite the established advantages of early antenatal care initiation, this study revealed that late antenatal care initiation is still common in Gambia. Unplanned pregnancy, residence, health insurance, history of caesarian delivery, and age were significantly associated with delayed first antenatal care presentation. Therefore, focusing extra attention on these high-risk individuals could reduce delayed first antenatal care visit and this further minimizes maternal and fetal health concerns by recognizing and acting early.

Background: In 1974, the World Health Organization (WHO) established the Expanded Program on Immunization to control vaccine-preventable diseases, saving millions of lives annually. However, the coverage of basic vaccines recommended by the WHO in Africa was only 75%, which fell short of the goal of 90% by 2015. To formulate effective policies and implementation programs to reduce incomplete vaccination rates, it is important to conduct a study to determine the factors contributing to incomplete immunization among children aged 12–23 months. Methods: The study was conducted in 16 sub-Saharan African countries, using data extracted from the latest DHS data. It was a community-based cross-sectional survey that used two-stage stratified probability sampling sample designs. The vaccination coverage was assessed using vaccination cards and mother recalls. Multilevel multivariable logistic regression was used to determine the extent of incomplete immunization and the individual and community-level factors associated with partial immunization among children aged 12–23 months. Variables with a p-value less than 0.05 were considered statistically significant predictors of incomplete immunization. Result: A total of 35, 193 weighted samples were used to determine the pooled prevalence of partial immunization. The pooled prevalence of incomplete immunization was 36.06%. In the final model factors significantly associated were: being uneducated mother(AOR:1.75;95%CI:1.48,2.05), being an unemployed mother (AOR:1.16;95%CI:1.09,1.23), no history of family planning utilization (AOR: 1.71; 95% CI: 1.61, 1.84), non-antenatal care (AOR: 1.79; 95% CI: 1.58, 2.04), non-postnatal care (AOR: 1.25; 95%CI: 1.17, 1.35), rural residence(AOR:1.50;95%CI:1.37,1.63), home delivery (AOR: 2.04; 95%CI:1.89, 2.21), having children more than five (AOR: 1.56; 95%CI: 1.13, 2.17), and non-utilization of health insurance (AOR: 1.74; 95%CI: 1.48, 2.05). Conclusion: The pooled prevalence of incomplete immunization was found to be high in this investigation. Based on the findings of the study we recommended that policymakers and stakeholders prioritize enhancing prenatal and postnatal care, contraception, and reducing home birth rates to minimize the rate of incomplete immunization.