Background Coronavirus disease 2019 (COVID-19), the most hectic pandemic of the era, is increasing exponentially and taking thousands of lives worldwide. This study aimed to assess the prevalence of pre-existing comorbidities among COVID-19 patients and their mortality risks with each category of pre-existing comorbidity. Methods To conduct this systematic review and meta-analysis, Medline, Web of Science, Scopus, and CINAHL databases were searched using pre-specified search strategies. Further searches were conducted using the reference list of the selected studies, renowned preprint servers (eg, medRxiv, bioRxiv, SSRN), and relevant journals’ websites. Studies written in the English language included if those were conducted among COVID-19 patients with and without comorbidities and presented survivor vs non-survivor counts or hazard/odds of deaths or survivors with types of pre-existing comorbidities. Comorbidities reported in the selected studies were grouped into eight categories. The pooled likelihoods of deaths in each category were estimated using a fixed or random-effect model, based on the heterogeneity assessment. Publication bias was assessed by visual inspection of the funnel plot asymmetry and Egger’s regression test. Trim and Fill method was used if there any publication bias was found. Results A total of 41 studies included in this study comprised of 27 670 samples. The most common pre-existing comorbidities in COVID-19 patients were hypertension (39.5%), cardiovascular disease (12.4%), and diabetes (25.2%). The higher likelihood of deaths was found among COVID-19 patients who had pre-existing cardiovascular diseases (odds ratio (OR) = 3.42, 95% confidence interval (CI) = 2.86-4.09), immune and metabolic disorders (OR = 2.46, 95% CI = 2.03-2.85), respiratory diseases (OR = 1.94, 95% CI = 1.72-2.19), cerebrovascular diseases (OR = 4.12, 95% CI = 3.04-5.58), any types of cancers (OR = 2.22, 95% CI = 1.63-3.03), renal (OR = 3.02, 95% CI = 2.60-3.51), and liver diseases (OR = 2.35, 95% CI = 1.50-3.69). Conclusions This study provides evidence that COVID-19 patients with pre-existing comorbidities had a higher likelihood of death. These findings could potentially help health care providers to sort out the most susceptible COVID-19 patients by comorbidities, take precautionary measures during hospitalization, assess susceptibility to death, and prioritize their treatment, which could potentially reduce the number of fatalities in COVID-19.

ObjectiveThis study is concerned with helping to improve the health and care of newborn babies in Bangladesh by exploring adverse maternal circumstances and assessing whether these are contributing towards low birth weight (LBW) in neonates.Study designs and settingsData were drawn and analysed from the Bangladesh Demographic and Health Survey, 2014. Any association between LBW and adverse maternal circumstances were assessed using a Chi-square test with determinants of LBW identified by multivariate logistic regression analysis.ParticipantsThe study is based on 4728 children aged below 5 years and born to women from selected households.ResultsThe rate of LBW was around 19.9% (199 per 1000 live births) with the highest level found in the Sylhet region (26.2%). The rate was even higher in rural areas (20.8%) and among illiterate mothers (26.6%). Several adverse maternal circumstances of the women included in the survey were found to be significant for increasing the likelihood of giving birth to LBW babies. These circumstances included the women being underweight (adjusted odds ratio (AOR) 1.26, 95% CI 1.06 to 1.49); having unwanted births (AOR 1.22, 95% CI 1.03 to 1.44); had previous pregnancies terminated (AOR 1.28, 95% CI 1.05 to 1.57); were victims of intimate partner violence (AOR 1.23, 95% CI 1.05 to 1.45) and taking antenatal care <4 times (AOR 1.23, 95% CI 1.03 to 1.48). Other important risk factors that were revealed included age at birth <18 years (AOR 1.42, 95% CI 1.11 to 1.83) and intervals between the number of births <24 months (AOR 1.25, 95% CI 1.01 to 1.55). When taking multiple fertility behaviours together such as, the ages of the women at birth (<18 years with interval <24 months (AOR 1.26, 95% CI 1.02 to 1.57) and birth order (>3 with interval <24 months (AOR 1.68, 95% CI 1.18 to 2.37), then the risk of having LBW babies significantly increased.ConclusionThis study finds that adverse maternal circumstances combined with high-risk fertility behaviours are significantly associated with LBW in neonates. This situation could severely impede progress in Bangladesh towards achieving the sustainable development goal concerned with the healthcare of newborns.

Objective This study examines trends and puts forward projections of under-5 mortality (U5M) in Bangladesh and identifies the effects of maternal high-risk fertility behaviours and use of healthcare services. Methods Data from seven waves of the Bangladesh Demographic and Health Survey (1994–2014) were analyzed for trends and projections of U5M and a Chi-square (χ2) test was used to identify if there was any association with maternal high-risk fertility behaviours and use of healthcare services. A multivariate logistic regression model was used to determine the effects of fertility behaviors and healthcare usage on the occurrence of U5M adjusting with confounders. Results U5M declined from 82.5 to 41.0 per 1000 livebirths during 1994–2014 and is projected to further reduce to 17.6 per 1000 livebirths by 2030. The study identified a noticeable regional variation in U5M with maternal high-risk fertility behaviours including age at birth <18 years (aOR: 1.84, 95% CI: 1.23–2.76) and birth interval <24 months (aOR: 1.56, 95% CI: 1.02–2.37) found to be significant determinants. There was a 39–53% decline in this rate of mortality among women that had used antenatal care services at least four times (aOR, 0.51, 95% CI: 0.27–0.97), delivery care (aOR, 0.47, 95% CI: 0.24–0.95), and had received postnatal care (aOR, 0.61, 95% CI: 0.41–0.91) in their last birth. Cesarean section was found to be associated with a 51% reduction in U5M (aOR, 0.49, 95% CI: 0.29–0.82) compared to its non-use. Conclusion The Sustainable Development Goals require a U5M rate of 25 per 1000 livebirths to be achieved by 2030. This study suggests that with the current trend of reduction, Bangladesh will achieve this target before the deadline. This study also found that maternal high-risk fertility behaviours and non-use of maternal healthcare services are very prevalent in some regions of Bangladesh and have increased the occurrence of U5M in those areas. This suggests therefore, that policies and programmes designed to reduce the pregnancy rates of women that are at risk and to encourage an increase in the use of maternal healthcare services are needed.

Objective: This study is aimed to observe the knowledge trend regarding HIV/AIDS and to identify the associated factors of the HIV/AIDS knowledge among the urban and rural Bangladeshi women. Methods: The data were extracted from the Bangladesh Demographic and Health Survey (BDHS) in 2004 and 2014, collected from women aged 15-49 years from seven administrative divisions of Bangladesh. To analyse the data, Chi-square test (2) and multivariate logistic regression analysis was utilized. Results: In Bangladesh, the prevalence of the women's HIV/AIDS knowledge in urban area was 83.1% whereas in rural area was 63.9% in 2014. The results revealed that reading newspaper/radio (urban: aOR=4.

Background: Road traffic injury (RTI) is one of the major causes of death, injury and disability worldwide and most of which occur in developing countries like Bangladesh. The main objective of this study was to identify the role of various socio-demographic and economic factors regarding the knowledge and consciousness about RTI at Khulna division in Bangladesh. Methods: Primary data were collected from 200 respondents in Khulna Medical College Hospital and Satkhira Sadar Hospital and several private clinics, generated by interviewing people who had experienced a traffic accident in Khulna division, Bangladesh. The Chi-square test and logistic regression model were utilized in this study to analyze the data. Results: The results show that there was a significant association between education (primary to higher secondary school: OR = 3.584, 95% CI = 0.907-14.155; higher educated: OR = 24.070, 95% CI = 4.860-119.206); occupation (farmer and labor: OR = 0.528,95% CI = 0.208-1.340; others: OR = 0.263, 95% CI = 0.097-0.713); if they were driving a motorcycle (OR = 4.137, 95% CI = 1.229-13.932); proper treatment (OR = 4.690, 95% CI = 1.736-12.673); consciousness about the RTI (OR = 18.394, 95% CI = 6.381-53.025); if they were an unskilled driver (OR = 8.169, 95% CI = 0.96-16.51), unfit vehicles (OR = 3.696, 95% CI = 1.032-13.234), if they were breaking traffic rules (OR = 6.918, 95% CI = 2.237-21.397), faulty road and traffic management (OR = 3.037, 95% CI = 1.125-8.196) with having knowledge about traffic rules in Khulna division, Bangladesh. Conclusion: According to the results of the study, by increasing knowledge and awareness about traffic rules among people through education and awareness programs, imposing strict traffic rules, not giving licenses to unskilled drivers, not allowing unfit vehicles on the road, reconstruction and proper road management RTI’s can be reduced.