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This document provides a summary of various research articles on the impact of the COVID-19 pandemic on vaccine implementation strategies and routine immunization services in different countries. The articles highlight the importance of effective communication systems, multidisciplinary leadership structures, and patient-centered engagement strategies in vaccine implementation. They also discuss the Whole Family Approach in Nigeria, which aims to increase COVID-19 vaccine uptake by leveraging the demand for other primary health services. The articles address challenges such as vaccine scarcity, vaccine hesitancy, and disruptions to routine immunization services. They propose interventions such as tailored decision aids, social mobilization campaigns, and the involvement of politicians to improve vaccine acceptance and uptake. The research findings contribute to the evidence needed to inform immunization recovery strategies during and after the pandemic. [Extracted from the article]

Background Obesity is a classified risk factor for several of the world’s leading causes of death. In this study, we combined information contained in body mass index (BMI), total percentage body fat (TPBF) and relative fat mass (RFM) to estimate obesity prevalence and examine the risk factors associated with obesity. Methods The study recruited 1027 undergraduate students aged between 16 and 25 years using a cross-sectional study design and two-stage stratified random sampling between January and April 2019 from the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. Demographic, lifestyle, and family history of chronic disease data, were collected using a structured questionnaire. Bioelectrical impedance, along with height, weight, age, and gender, were used to estimate BMI and TPBF. The RFM was calculated using a published equation. The TPBF and RFM ranges were evaluated based on standard BMI thresholds and an informative combined obesity prevalence estimated in a Bayesian framework. Multiple logistic regression analysis was used to evaluate potential risk factors of overweight/ obesity. Results Concordance between BMI, TPBF and RFM for obesity classification was 84% among female and 82.9% among male students. The Bayesian analysis revealed a combined prevalence means of obesity of 9.4% (95%CI: 6.9- 12.2%) among female students and 6.7% (95%CI:4.3-9.5%) among male students. The odds of obesity were increased between 1.8 and 2.5 for females depending on the classification index. A significant increasing trend of obesity was observed with university-level. A family history of obesity was associated with a high estimate of general, central, and high TPBF. Conclusion Using multiple adiposity indicators conjointly in a Bayesian framework offers a greater power to examine obesity prevalence. We have applied this and reported high obesity prevalence, especially among female students. University level and family history of obesity were key determinants for obesity among the student population. [ABSTRACT FROM AUTHOR]

The extent to which dengue virus has been circulating globally and especially in Africa is largely unknown. Testing available blood samples from previous cross-sectional serological surveys offers a convenient strategy to investigate past dengue infections, as such serosurveys provide the ideal data to reconstruct the age-dependent immunity profile of the population and to estimate the average per-capita annual risk of infection: the force of infection (FOI), which is a fundamental measure of transmission intensity. In this study, we present a novel methodological approach to inform the size and age distribution of blood samples to test when samples are acquired from previous surveys. The method was used to inform SERODEN, a dengue seroprevalence survey which is currently being conducted in Ghana among other countries utilizing samples previously collected for a SARS-CoV-2 serosurvey. The method described in this paper can be employed to determine sample sizes and testing strategies for different diseases and transmission settings. Author summary: The historical circulation of dengue virus is still poorly understood in many parts of the world, and age-stratified seroprevalence surveys can provide the data to quantify population exposure to dengue and its transmission intensity. In this work, we developed a simulation-based method that can be used to identify the sample sizes and age-distribution of the samples needed to obtain informative estimates of dengue force of infection from existing blood samples. We apply this method to data obtained from a SARS-CoV-2 serological survey, previously conducted in three cities in Ghana. The methods and code developed in this paper can be used to design serological surveys for dengue and other pathogens when using existing blood samples with accompanying information on age and location. [ABSTRACT FROM AUTHOR]

Background: Global cases of COVID-19 continue to rise, causing havoc to several economies. So far, Ghana has recorded 48,643 confirmed cases with 320 associated deaths. Although summaries of data are usually provided by the Ministry of Health, detailed epidemiological profile of cases are limited. This study sought to describe the socio-demographic features, pattern of COVID-19 spread and the viral load dynamics among subjects residing in northern, middle and part of the southern belt of Ghana. Methods: This was a cross-sectional retrospective study that reviewed records of samples collected from February to July, 2020. Respiratory specimens such as sputum, deep-cough saliva and nasopharyngeal swabs were collected from suspected COVID-19 subjects in 12 regions of Ghana for laboratory analysis and confirmation by real-time reverse transcription polymerase chain reaction (RT-PCR). Results: A total of 72,434 samples were collected during the review period, with majority of the sampled individuals being females (37,464; 51.9%). The prevalence of SARS-CoV-2 identified in the study population was 13.2% [95%CI: 12.9, 13.4). Males were mostly infected (4,897; 51.5%) compared to females. Individuals between the ages 21–30 years recorded the highest number of infections (3,144, 33.4%). Symptomatic subjects had higher viral loads (1479.7 copies/μl; IQR = 40.6–178919) than asymptomatic subjects (49.9; IQR = 5.5–3641.6). There was significant association between gender or age and infection with SARS-CoV-2 (p<0.05). Among all the suspected clinical presentations, anosmia was the strongest predictor of SARS-CoV-2 infection (Adj. OR (95%CI): 24.39 (20.18, 29.49). We observed an average reproductive number of 1.36 with a minimum of 1.28 and maximum of 1.43. The virus trajectory shows a gradual reduction of the virus reproductive number. Conclusion: This study has described the epidemiological profile of COVID-19 cases in northern, middle and part of the southern belt of Ghana, with males and younger individuals at greater risk of contracting the disease. Health professionals should be conscious of individuals presenting with anosmia since this was seen as the strongest predictor of virus infection. [ABSTRACT FROM AUTHOR]

Background: Systemic inflammatory response syndrome (SIRS) and model for end-stage liver disease (MELD) predict short-term mortality in patients with cirrhosis. Prediction of mortality at initial hospitalization is unknown in black African patients with decompensated cirrhosis. Aim: This study aimed to look at the role of MELD score and SIRS as the predictors of morbidity and mortality at initial hospitalization. Patients and methods: In this retrospective cohort study, we enrolled 159 patients with cirrhosis (median age: 49 years, 70.4% males). The role of Child-Pugh-Turcotte (CPT) score, MELD score, and SIRS on mortality was determined by the Kaplan-Meier method, and the prognosis factors were assessed with Cox regression model. Results: At initial hospitalization, 74.2%, 20.1%, and 37.7% of the patients with cirrhosis showed the presence of ascites, hepatorenal syndrome, and esophageal varices, respectively. During the in-hospital follow-up, 40 (25.2%) patients died. The overall incidence of mortality was found to be 3.1 [95% confidence interval (CI): 2.2-4.1] per 100 person-days. Survival probabilities were found to be high in case of patients who were SIRS negative (log-rank test= 4.51, p=0.03) and in case of patients with MELD score =16 (log-rank test=7.26, p=0.01) compared to the patients who were SIRS positive and those with MELD score >16. Only SIRS (hazard ratio (HR)=3.02, [95% CI: 1.4-7.4], p=0.01) and MELD score >16 (HR=2.2, [95% CI: 1.1-4.3], p=0.02) were independent predictors of mortality in multivariate analysis except CPT, which was not relevant in our study. Patients with MELD score >16 experienced hepatorenal syndrome (p=0.002) and encephalopathy (p=0.001) more frequently than that of patients with MELD score =16. SIRS was not useful in predicting complications. Conclusion: MELD score and SIRS can be used as tools for the prediction of mortality in black African patients with decompensated cirrhosis. [ABSTRACT FROM AUTHOR]

Background: A surge in pro-inflammatory markers, Il-6 and TNF-α, has been associated with type 2 diabetes mellitus (T2DM). However, there is no data on the dynamics of these markers in T2DM Ghanaian populations. The aim of this study was to determine variations in the levels of IL-6 and TNF-α in T2DM patients. This study also examined the associations of IL-6 and TNF-α with anthropometric measurement and the effect of co-morbidity with hypertension using rural and urban dwellers in the Ashanti region, Ghana. Methods: A nested case-control design using participants aged 25-70 years consisting of 77 T2DM ± hypertension patients and 112 controls were selected from a larger study on Research on Obesity and Diabetes among African Migrants (RODAM). Anthropometric measurements, blood pressure and body fat percentage were measured. Fasting blood samples were analyzed for glucose, IL-6 and TNF-α levels. Results: The median level of IL-6 was significantly higher (p < 0.0001) among rural dwellers compared to urban dwellers. Inversely, urban dwellers had significantly higher (p = 0.0424) median level of TNF-α compared to rural cases. No significant differences were observed in IL-6 (p = 0.3571) and TNF-α (p = 0.2581) among T2DM patients compared with T2DM ± hypertension patients. A weak negative correlation was found between IL-6 and BMI in urban T2DM. Discussion: The average level of IL-6 was higher in rural T2DM participants compared with those in urban setting. However, higher levels of TNF-α was observed among the study participants with T2DM in urban settings compared to those of rural. In this study, we observed that co-morbidity of hypertension had no significant effect on the levels of IL-6 and TNF-α. We are of the opinion that higher physical activity levels among rural particpants and high obesity levels in urban participants explain the observation but needs more numbers to validate. Conclusion: This study revealed that IL-6 levels were higher among rural dwellers than urban while TNF-α levels were higher in urban dwellers than rural in patients with T2DM. There was no association of body fat percentage and body mass index with IL-6 and TNF-α levels. Co-morbidity of hypertension with T2DM had no effect on IL-6 and TNF-α levels. [ABSTRACT FROM AUTHOR]