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Frontiers | Systematic Assessment of COVID-19 Pandemic in Bangladesh: Effectiveness of Preparedness in the First Wave

Background: To develop an effective countermeasure and determine our susceptibilities to the outbreak of COVID-19 is challenging for a densely populated developing country like Bangladesh and a systematic review of the disease on a continuous basis is necessary. Methods: Publicly available and globally acclaimed datasets (4 March 2020 – 30 September 2020) from IEDCR, Bangladesh, JHU and ECDC database are used for this study. Visual exploratory data analysis is used and we fitted a polynomial model for the number of deaths. A comparison of Bangladesh scenario over different time points as well as with global perspectives is made. Results: In Bangladesh, the number of active cases had decreased, after reaching a peak, with a constant pattern of death rate at from July to the end of September, 2020. 71% of the cases and 77% of the deceased were males. People aged between 21 to 40 years were most vulnerable to the coronavirus and most of the fatalities (51.49%) were in the 60+ population ....

United States , Bangladesh General , United Kingdom , New Zealand , Kyonggi Do , South Korea , Irkutskaya Oblast , Schaffer Deroo , Cox Bazar , Johns Hopkins University , Second Meeting Of The International Health Regulations , Regional Office For Europe , Bank Announces Tk , Data Tracker Global Health , International Data Rescue , Health Services , Ministry Of Health Family Welfare Bangladesh , Sustainable Development Goals , European Centre For Disease Prevention , Zhuy Association , School College , Institute Of Epidemiology , World Health Organization , Trop Med Int Health , Bangladesh Bank , Front Public Health ,

Health insurance coverage in reproductive-age women - CEOR


1
1Department of Epidemiology and Biostatistics, College of Health and Medical Sciences, Haramaya University, Haramaya, Ethiopia;
2Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia;
3Department of Public Health and Health Policy, College of Health and Medical Sciences, School of Public Health, Haramaya University, Harar, Ethiopia
Correspondence: Biruk Shalmeno Tusa Email [email protected]
Background: Despite improvement in access to modern healthcare services in East African countries, health-service delivery and health status of the population remained poor mainly due to the weak health-sector financing system. Therefore, the current study aimed to assess the health insurance coverage and its associated factors among reproductive-age group (RAG) women in East Africa. ....

Health Surveys , Health Insurance Coverage , Age Group Women , Year Of The Survey , Health Survey , East African , East Africa , East African Countries , Their Sample Size , Survey Included , Bayesian Information Criteria , Information Criteria , Intra Cluster Correlation Coefficient , East Africa Countries , Health Insurance , Multivariable Analysis , Gross Domestic Product , ஆரோக்கியம் ஆய்வுகள் , ஆரோக்கியம் காப்பீடு பாதுகாப்பு , வாழ்நாள் குழு பெண்கள் , ஆரோக்கியம் கணக்கெடுப்பு , தகவல் அளவுகோல்கள் , ஆரோக்கியம் காப்பீடு , மொத்த உள்நாட்டு ப்ராடக்ட் ,

Spatial distribution and determinant factors of anemia among adults aged 15–59 in Ethiopia; using mixed-effects ordinal logistic regression model


Background
Anemia is a global public health problem, particularly in developing countries. Assessing the geographic distributions and determinant factors is a key and crucial step in designing targeted prevention and intervention programmes to address anemia. Thus, the current study is aimed to assess the spatial distribution and determinant factors of anemia in Ethiopia among adults aged 15–59.
Methods
A secondary data analysis was done based on 2016 Ethiopian Demographic and Health Surveys (EDHS). Total weighted samples of 29,140 adults were included. Data processing and analysis were performed using STATA 14; ArcGIS 10.1 and SaTScan 9.6 software. Spatial autocorrelation was checked using Global Moran’s index (Moran’s I). Hotspot analysis was made using Gettis-OrdGi statistics. Additionally, spatial scan statistics were applied to identify significant primary and secondary cluster of anemia. Mixed effect ordinal logistics were fitted to determine factors associ ....

Gambela Hizboch , Addis Ababa , Dire Dawa , Health Surveys , East African , Southern Nations , People Region , Addis Ababa City , Housing Census , Body Mass Index , Personal Record , Global Moran , Bayesian Information Criteria , Information Criteria , Odds Ratio , Confidence Interval , மோசமான தாவா , ஆரோக்கியம் ஆய்வுகள் , தெற்கு நாடுகள் , மக்கள் பகுதி , வீட்டுவசதி மக்கள் தொகை கணக்கெடுப்பு , உடல் நிறை குறியீட்டு , தனிப்பட்ட பதிவு , உலகளாவிய மோரன் , தகவல் அளவுகோல்கள் , முரண்பாடுகள் ரேஶியோ ,