ABSTRACT
Providing appropriate care for people suffering from COVID-19, the disease caused by the pandemic SARS-CoV-2 virus, is a significant global challenge. Many individuals who become infected may have pre-existing conditions that may interact with COVID-19 to increase symptom severity and mortality risk. COVID-19 patient comorbidities are likely to be informative regarding the individual risk of severe illness and mortality. Determining the degree to which comorbidities are associated with severe symptoms and mortality would thus greatly assist in COVID-19 care planning and provision. To assess this we performed a meta-analysis of published global literature, and machine learning predictive analysis using an aggregated COVID-19 global dataset. Our meta-analysis suggested that chronic obstructive pulmonary disease (COPD), cerebrovascular disease (CEVD), cardiovascular disease (CVD), type 2 diabetes, malignancy, and hypertension as most significantly associated with COVID-19 severity in the current published literature. Machine learning classification using novel aggregated cohort data similarly found COPD, CVD, CKD, type 2 diabetes, malignancy, and hypertension, as well as asthma, as the most significant features for classifying those deceased versus those who survived COVID-19. While age and gender were the most significant predictors of mortality, in terms of symptom-comorbidity combinations, it was observed that Pneumonia-Hypertension, Pneumonia-Diabetes, and Acute Respiratory Distress Syndrome (ARDS)-Hypertension showed the most significant associations with COVID-19 mortality. These results highlight the patient cohorts most likely to be at risk of COVID-19-related severe morbidity and mortality, which have implications for prioritization of hospital resources.
ABSTRACT
OBJECTIVE: To assess the current measles vaccination status in Bangladesh, explain changing differentials in measles vaccination, and determine contexts that may improve measles vaccination coverage. METHODS: Secondary data analysis of datasets (2004-2014) from the nationally representative Bangladesh Demographic and Health Surveys that followed stratified, multi-stage cluster sampling design conducted both in urban and rural contexts. RESULTS: 5468 children aged 12-23 months were surveyed, of whom 892 (16%) reported non-compliance to measles vaccine. After simultaneous adjusting for covariates in multivariate logistic regression, children who came from a poor socio-economic background, who had mothers with no formal schooling, who were underweight, of higher birth order (≥4), who had adolescent mothers, who had a history of home delivery and who had no exposure to media were observed to be significantly associated with lack of measles vaccination. Measles vaccination coverage among children of adolescent mothers was consistently low. Despite lack of media exposure, measles vaccination status gradually increased from 26% in 2004 to 33% in 2014. Lack of maternal education was no longer associated with measles vaccination status in 2007, 2011 and 2014. Stunted children continued to be associated with lack of measles immunisation in 2014. Children with higher birth order demonstrated 53% excess risk for not being immunised with measles vaccine. Mothers with no exposure to mass media were two times more likely to have children without measles immunisation as indicated by BDHS 2014 data. CONCLUSIONS: Our findings will help policy makers formulate strategies for expanding measles vaccination coverage in order to achieve further reduction in disease burden and mortality in Bangladesh.
OBJECTIF: Evaluer l'état actuel de la vaccination antirougeoleuse au Bangladesh, expliquer l'évolution des écarts de vaccination antirougeoleuse et déterminer les contextes susceptibles d'améliorer la couverture vaccinale antirougeoleuse. MÉTHODES: Analyse des données secondaires des ensembles de données (2004 à 2014) des enquêtes démographiques et sanitaires du Bangladesh représentatives au niveau national, qui ont suivi un plan d'échantillonnage stratifié en grappes à plusieurs niveaux, mené à la fois dans des contextes urbains et ruraux. RÉSULTATS: 5.468 enfants de 12 à 23 mois ont été interrogés, dont 892 (16%) ont déclaré une non-adhésion au vaccin contre la rougeole. Après ajustement simultané des covariables dans la régression logistique multivariée, les enfants issus d'un milieu socioéconomique pauvre, dont les mères n'avaient pas de scolarité formelle, qui étaient en insuffisance pondérale, de rang de naissance supérieur (≥4), qui avaient des mères adolescentes, qui avaient un les antécédents d'accouchement à domicile et qui n'avaient pas été exposés aux médias étaient significativement associés à l'absence de vaccination contre la rougeole. La couverture vaccinale contre la rougeole chez les enfants de mères adolescentes était constamment faible. Malgré le manque d'exposition aux médias, le statut de vaccination contre la rougeole a progressivement augmenté, passant de 26% en 2004 à 33% en 2014. Le manque d'éducation maternelle n'était plus associé au statut de vaccination contre la rougeole en 2007, 2011 et 2014. Les enfants souffrant d'un retard de croissance ont continué d'être associés au manque de la vaccination contre la rougeole en 2014. Les enfants dont le rang de naissance était plus élevé ont démontré un risque de 53% en excès de ne pas être vacciné contre la rougeole. Les mères sans exposition aux médias de masse étaient deux fois plus susceptibles d'avoir des enfants sans vaccination contre la rougeole, comme l'indiquent les données BDHS 2014. CONCLUSIONS: Nos résultats aideront les décideurs à formuler des stratégies pour étendre la couverture vaccinale contre la rougeole afin de réduire encore la charge de morbidité et la mortalité au Bangladesh.
