AI Article Synopsis

Article Abstract

The COVID-19 pandemic has hit humanity, straining health care systems, economies, and governments worldwide. In one of the responses to the pandemic, a big global effort has been mounted to collect, analyze, and make data publicly available. However, many of the existing COVID-19 public datasets are (i) aggregated at country level, and (ii) tend not to bring the COVID-19-specific data coupled with socio-demographic, economic, public policy, health, pollution and environmental factors, all of which may be key elements to study the transmission of the SARS-CoV-2 and its severity. To aid the evaluation of the determinants and impact of the COVID-19 pandemic at a large scale, we present here a new dataset with socio-demographic, economic, public policy, health, pollution and environmental factors for the European Union at the small regions level (NUTS3). The database is freely accessible at http://dx.doi.org/10.17632/2ghxnrkr9p.4. This dataset can help to monitor the COVID-19 mortality and infections at the sub-national level and enable analysis that may inform future policymaking.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7927671PMC
http://dx.doi.org/10.1016/j.dib.2021.106939DOI Listing

Publication Analysis

Top Keywords

sub-national level
8
covid-19 pandemic
8
socio-demographic economic
8
economic public
8
public policy
8
policy health
8
health pollution
8
pollution environmental
8
environmental factors
8
covid-19
5

Similar Publications

Background: Bangladesh Rural Advancement Committee (BRAC), a leading non-governmental organization (NGO), implemented a large-scale Home Fortification (HF) with Micronutrient Powder (MNP) programme from 2013 to 2018 aimed to reduce undernutrition and iron deficiency anemia among children aged below 5 years old. An adequate and timely supply of MNP was crucial for successful implementation of the programme, but very few studies have documented implementers' MNP supply chain experiences. Therefore, this study aimed to explore the barriers and enablers in the MNP supply chain in Bangladesh.

View Article and Find Full Text PDF

Achievement of one health multi-sectoral collaboration in containment of Rift Valley Fever outbreak, Sudan, Red Sea State 2019.

Eur J Public Health

January 2025

Federal Ministry of Health, Directorate Health Emergencies and Epidemics Control (HEEC), Khartoum, Sudan.

Rift Valley Fever is endemic in Sudan, with a notable outbreak declared in 2019, affecting multiple states. In this study, we examine the Red Sea State, Sudan's experience in applying the One Health approach, to contain Red-Sea RVF outbreak. A retrospective analysis of national and sub-national data and a review of literature were conducted to assess the application of One Health response and to derive lessons learned.

View Article and Find Full Text PDF

Geospatial mapping of drug-resistant tuberculosis prevalence in Africa at national and sub-national levels.

Int J Infect Dis

January 2025

School of Population Health, Faculty of Health Sciences, Curtin University, Australia; Geospatial and Tuberculosis Research Team, Telethon Kids Institute, Australia. Electronic address:

Objective: To map subnational and local prevalence of drug-resistant tuberculosis (DR-TB) across Africa.

Methods: We assembled a geolocated dataset from 173 sources across 31 African countries, comprising drug susceptibility test results and covariate data from publicly available databases. We used Bayesian model-based geostatistical framework with multivariate Bayesian logistic regression model to estimate DR-TB prevalence at lower administrative levels.

View Article and Find Full Text PDF

Objective: To investigate the relationship between maternal age and nutritional status, and test associations between maternal nutritional status and child mortality with a focus on maternal obesity.

Design: Secondary analysis of data from nationally representative cross-sectional sample of women of reproductive ages (15-49 years) and their children under 5 years. The outcome variable for maternal nutritional status was BMI, classified into underweight (BMI < 18·50 kg/m), normal weight (18·50-24·99 kg/m), overweight (25·0-29·9 kg/m) and obesity (>=30·0 kg/m).

View Article and Find Full Text PDF

Multiple chronic conditions reduce the quality of life and increase healthcare needs for people with diabetes mellitus (DM). This study aims to describe the prevalence of comorbidities associated with DM in the European Union (EU) at national and sub-national levels and to assess the utility of a comorbidity burden index. The study was carried out using microdata from European Health Interview Survey 2019 including adults aged 25 and older with DM from 26 EU member states (n = 20,042).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!