scholarly journals The Association of Country-Level Factors with Outcomes of COVID-19: Analysis of the pandemic after one million cases

2020 ◽  
Author(s):  
Omar S. Aldibasi ◽  
Naif K. Alharbi ◽  
Mohamed Alkelya ◽  
Hosam Zowawi ◽  
Suliman Alghnam
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Life Expectancy ◽  
Incidence Rate ◽  
Recovery Rate ◽  
Gdp Per Capita ◽  
Current Response ◽  
Health Measures ◽  
Country Level ◽  
Per Capita

Abstract Background: Coronavirus infectious disease 2019 (COVID-19) is an ongoing global pandemic. Without a vaccine or an effective treatment in the near horizon, only public health measures have been effective in potentially reducing its impact. Due to the wide disparity in current response from individual countries, studying factors associated with public health measures may inform ongoing efforts. Therefore, this study aims to analyze the contributing factors across the globe with specific measures of the disease. Methods: This is a cross-sectional study that used publicly available data of COVID-19 cases as of April 6, 2020. We analyzed country public information on demographic and socioeconomic indicators published in different sources. The association between country-level variables and the incidence rate, the recovery rate, severity of the cases, and mortality rate were evaluated using regression techniques. Results: Multiple factors were found to be significantly associated with COVID-19 outcomes. The number of tests per million, GDP per capita, a country population size of 2020, country median age, and life expectancy are associated with the incidence rate of COVID19. The yearly net change population, migrants, and tourism are associated with the recovery rate of COVID-19. The number of tests per million and male life expectancy are associated with the critical cases rate of COVID-19. Finally, the GDP per capita, land area (Km2), life expectancy, and tourism are associated with the mortality rate of COVID-19. Conclusion: Overall, higher GDP per capita, median age, and a higher number of lab tests were found to be associated with more incidents of COVID-19 cases, which indicates a better and maintained system for detection, reporting, and management of the pandemic. This study suggests that investing in better screening and testing may reveal more cases that can be managed and controlled; while limiting travelers would further support the pandemic control.

Exploring the Relationship between ICTs and Public Health at Country Level

2013 ◽  
Vol 8 (3) ◽  
pp. 1-22 ◽  
Author(s):  
Viju Raghupathi ◽  
Wullianallur Raghupathi
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Life Expectancy ◽  
Health Indicators ◽  
Fertility Rate ◽  
Child Immunization ◽  
The Public ◽  
Country Level ◽  
Public Health Indicators ◽  
The Relationship

The authors use a health analytics approach to investigate the relationship between information and communication technology (ICT) and public health at a country level. The research uses the ICT factors of accessibility, usage, quality, affordability, trade, and applications, as well as the public delivery indicators of adolescent fertility rate, child immunization for DPT, child immunization for measles, tuberculosis detection rate, life expectancy, adult female mortality rate, and adult male mortality rate. ICT data was collected from the International Telecommunication Union ICT Indicator database. The public health data was collected from the World Bank website. Results of the analytics indicate that ICT factors are positively associated with some public health indicators. Nearly all of the ICT factors are positively associated with the public health indicators of immunization rates, TB detection rates, and life expectancy. The association with adult mortality is negative, which is also favorable. However, the association of ICT with fertility rate is negative, which is an unfavorable effect. These results offer insight into the importance of understanding the positive and adverse impacts of ICT on public health so as to guide national policy decisions in the future.

Commanding the “Be Fruitful and Multiply” Directive: Reproductive Ethics, Law, and Policy in Israel

2010 ◽  
Vol 19 (3) ◽  
pp. 363-371 ◽  
Author(s):  
DANIEL SPERLING
Keyword(s):  
Exchange Rate ◽  
Mortality Rate ◽  
Life Expectancy ◽  
Developed Countries ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Reproductive Ethics ◽  
Live Births ◽  
Law And Policy ◽  
Per Capita

As of June 2009, Israel’s population was 7,424,400 people, 5,604,900 of which were Jewish, 1,502,400 were Arabs, and approximately 317,200 had no religion or are non-Arab Christians. Established in 1948, Israel is a highly urban and industrialized country. Its gross domestic product (GDP) per capita (based on exchange rate) is US$23,257, positioning it among the European developed countries. Life expectancy is 79 years for males and 82 years for females, with infant mortality rate of 4 cases per 1,000 live births. Of Israel’s GDP, 7.7% is spent on health.

Empirical analysis of factors influencing the public health expenditure in Malaysia

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Kok Wooi Yap ◽  
Doris Padmini Selvaratnam
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Price Index ◽  
Infant Mortality Rate ◽  
Public Health Expenditure ◽  
The Public ◽  
Empirical Results ◽  
Per Capita

This study aims to investigate the determinants of public health expenditure in Malaysia. An Autoregressive Distributed Lag (ARDL) approach proposed by Pesaran & Shin (1999) and Pesaran et al. (2001) is applied to analyse annual time series data during the period from 1970 to 2017. The study focused on four explanatory variables, namely per capita gross domestic product (GDP), healthcare price index, population aged 65 years and above, as well as infant mortality rate. The bounds test results showed that the public health expenditure and its determinants are cointegrated. The empirical results revealed that the elasticity of government health expenditure with respect to national income is less than unity, indicating that public health expenditure in Malaysia is a necessity good and thus the Wagner’s law does not exist to explain the relationship between public health expenditure and economic growth in Malaysia. In the long run, per capita GDP, healthcare price index, population aged more than 65 years, and infant mortality rate are the important variables in explaining the behaviour of public health expenditure in Malaysia. The empirical results also prove that infant mortality rate is significant in influencing public health spending in the short run. It is noted that macroeconomic and health status factors assume an important role in determining the public health expenditure in Malaysia and thus government policies and strategies should be made by taking into account of these aspects.

scholarly journals Contribution of ICOH to Address the Different OSH Needs among Countries: Results of a Survey

2021 ◽  
Vol 18 (9) ◽  
pp. 4665
Author(s):  
Bruna Rondinone ◽  
Antonio Valenti ◽  
Valeria Boccuni ◽  
Erika Cannone ◽  
Pierluca Dionisi ◽  
...  
Keyword(s):  
Occupational Safety ◽  
Multidisciplinary Approach ◽  
Multiple Correspondence Analysis ◽  
Gdp Per Capita ◽  
Online Questionnaire ◽  
Research Education ◽  
Country Level ◽  
Safety And Health ◽  
Per Capita ◽  
And Training

The aim of this study is to map the coverage of occupational safety and health (OSH) rules and provisions and their enforcement at a country level worldwide. Members’ participation in the International Commission on Occupational Health (ICOH) activities was also investigated. We used a questionnaire-based survey to collect data. An online questionnaire was administered from February 14 to March 18, 2018 to all ICOH members for the triennium 2015 to 2017 (n = 1929). We received 384 completed questionnaires from 79 countries, with a 20% response rate. To synthesize information about the coverage of OSH rules and provisions and their level of enforcement, a synthetic coverage index was calculated and combined with country, gross domestic product (GDP) per capita and the human development index (HDI). We used multiple correspondence analysis (MCA) to analyze the members’ participation in ICOH activities. More than 90.0% of the sample declared that in their own country there is a set of rules and provisions regulating OSH in the workplace, and training procedures and tools to improve workers’ awareness. However, these rules and training procedures are mainly “partially” enforced and utilized (39.0% and 45.4%). There was no statistically significant association between country and GDP per capita and the synthetic coverage index, whilst controlling for HDI. The level of engagement in ICOH activities is higher in senior members (aged 65 years or older), coming from high-income countries, having held a position within ICOH, with a higher level of education and a researcher position. An integrated and multidisciplinary approach, which includes research, education and training, is needed to address OSH issues and their impact both at global and country level.

scholarly journals COVID-19 Mortality Rate and Its Incidence in Latin America: Dependence on Demographic and Economic Variables

2021 ◽  
Vol 18 (13) ◽  
pp. 6900
Author(s):  
Javier Cifuentes-Faura
Keyword(s):  
Latin America ◽  
Mortality Rate ◽  
Population Density ◽  
Life Expectancy ◽  
Latin American ◽  
Positive Influence ◽  
Death Rates ◽  
Per Capita ◽  
Latin American Countries ◽  
Quality Infrastructure

The pandemic caused by COVID-19 has left millions infected and dead around the world, with Latin America being one of the most affected areas. In this work, we have sought to determine, by means of a multiple regression analysis and a study of correlations, the influence of population density, life expectancy, and proportion of the population in vulnerable employment, together with GDP per capita, on the mortality rate due to COVID-19 in Latin American countries. The results indicated that countries with higher population density had lower numbers of deaths. Population in vulnerable employment and GDP showed a positive influence, while life expectancy did not appear to significantly affect the number of COVID-19 deaths. In addition, the influence of these variables on the number of confirmed cases of COVID-19 was analyzed. It can be concluded that the lack of resources can be a major burden for the vulnerable population in combating COVID-19 and that population density can ensure better designed institutions and quality infrastructure to achieve social distancing and, together with effective measures, lower death rates.

scholarly journals SARS-COV-2 Vaccines: What Indicators are Associated with the Worldwide Distribution of the First Doses

2021 ◽  
Vol 58 ◽  
pp. 004695802110601
Author(s):  
Marcos Felipe Falcão Sobral ◽  
Brigitte Renata Bezerra de Oliveira ◽  
Ana Iza Gomes da Penha Sobral ◽  
Marcelo Luiz Monteiro Marinho ◽  
Gisleia Benini Duarte ◽  
...  
Keyword(s):  
Population Density ◽  
Life Expectancy ◽  
Human Development ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
The United States ◽  
Gdp Per Capita ◽  
Reproduction Rate ◽  
Worldwide Distribution ◽  
Per Capita

The present study aimed to identify the factors associated with the distribution of the first doses of the COVID-19 vaccine. In this study, we used 9 variables: human development index (HDI), gross domestic product (GDP per capita), Gini index, population density, extreme poverty, life expectancy, COVID cases, COVID deaths, and reproduction rate. The time period was until February 1, 2021. The variable of interest was the sum of the days after the vaccine arrived in the countries. Pearson’s correlation coefficients were calculated, and t-test was performed between the groups that received and did not receive the immunizer, and finally, a stepwise linear regression model was used. 58 (30.4%) of the 191 countries received the SARS-CoV-2 vaccine. The countries that received the most doses were the United States, China, the United Kingdom, and Israel. Vaccine access in days showed a positive Pearson correlation HDI, GDP, life expectancy, COVID-19 cases, deaths, and reproduction rate. Human development level, COVID-19 deaths, GDP per capita, and population density are able to explain almost 50% of the speed of access to immunizers. Countries with higher HDI and per capita income obtained priority access.

scholarly journals Global improvements in Years of Good Life since 1950

2021 ◽  
Author(s):  
Erich Striessnig ◽  
Claudia Reiter ◽  
Anna Dimitrova
Keyword(s):  
Life Expectancy ◽  
Good Life ◽  
Composite Index ◽  
Well Being ◽  
Gdp Per Capita ◽  
World Population ◽  
Aggregate Level ◽  
Recent Past ◽  
Cognitive Limitations ◽  
Per Capita

Human well-being at the national aggregate level is typically measured by GDP per capita, life expectancy or a composite index such as the HDI. A more recent alternative is the Years of Good Life (YoGL) indicator presented by Lutz et al. (2018; 2021). YoGL represents a refinement of life expectancy in which only those person-years in a life table are counted that are spent free from material (1), physical (2) or cognitive limitations (3), while being subjectively perceived as satisfying (4). In this article, we present the reconstruction of YoGL to 1950 for 140 countries. Since life expectancy – as reported by the UN World Population Prospects in fiveyearly steps – forms the basis of our reconstruction, the presented dataset is also available on a five-yearly basis. In addition, like life expectancy, YoGL can be flexibly calculated for different sub-populations. Hence, we present separate YoGL estimates for women and men. Due to a lack of data, only the material dimension can be reconstructed based directly on empirical inputs since 1950. The remaining dimensions are modelled based on information from the more recent past.

scholarly journals Effects of air pollution on children from a socioecological perspective

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Jong In Kim ◽  
Gukbin Kim ◽  
Yeonja Choi
Keyword(s):  
Air Pollution ◽  
Life Expectancy ◽  
Natural Resource ◽  
Solid Fuel ◽  
Resource Depletion ◽  
Short Term ◽  
Environmental Threats ◽  
Country Level ◽  
Per Capita

Abstract Background Country-level inequality in life expectancy (ILE) and deaths of children under age five due to air pollution (DCAP) can be influenced by country-level income per capita, solid fuel, electrification, and natural resource depletion. The ILE and DCAP in the short-term are useful indicators that can help in developing ways to reduce environmental threats. This study confirms evidence for ILE and DCAP as the effects of environmental threats by country-level income, energy, and natural resource levels from a socioecological approach. Methods This study based on life expectancy and children data on 164 countries acquired from the United Nations Development Programme. We obtained the country-level socioecological data from the United Nations and the World Bank database. We assessed the associations between ILE, DCAP, and the country-level indicators applying correlations coefficient and the regression models. Results These study findings showed considerable correlations between ILE and country-level socioecological indicators: gross national income per capita (GNI), non-solid fuel (NSF), electrification rate (ER), and natural resource depletion (NRD). The DCAP in short-term predictors were low NSF and low ER (R2 = 0.552), and ILE predictors were low GNI, NSF, and ER and higher NRD (R2 = 0.816). Thus, the countries with higher incomes and electrification rates and more sustainable natural resources had lower expected DCAP in the short-term and ILE in the long-term. Conclusions Based on our results, we confirmed that country-level income, energy, and natural resource indicators had important effects on ILE in long-term and DCAP in short-term. We recommend that countries consider targeting high standards of living and national incomes, access to non-solid fuel and electricity as energy sources, and sustainable natural resources to reduce ILE and DCAP in short-term.

scholarly journals Response2covid19, a dataset of governments’ responses to COVID-19 all around the world

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Simon Porcher
Keyword(s):  
Public Health ◽  
Interest Rates ◽  
School Closures ◽  
Mass Gatherings ◽  
Health Measures ◽  
Country Level ◽  
Policy Interventions ◽  
Economic Decision Making ◽  
The World ◽  
Robust Evidence

AbstractFollowing the COVID-19 outbreak, governments all around the world have implemented public health and economic measures to contain the spread of the virus and to support the economy. Public health measures include domestic lockdown, school closures and bans on mass gatherings among others. Economic measures cover wage support, cash transfers, interest rates cuts, tax cuts and delays, and support to exporters or importers. This paper introduces ‘Response2covid19’, a living dataset of governments’ responses to COVID-19. The dataset codes the various policy interventions with their dates at the country-level for more than 200 countries from January 1 to October 1, 2020 and is updated every month. The production of detailed data on the measures taken by governments can help generate robust evidence to support public health and economic decision making.

scholarly journals How to estimate mild Traumatic Brain Injury Incidence? The interest of Emergency Departments data

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
V Bourdin ◽  
L Manitchoko ◽  
P Azouvi ◽  
R Hellmann ◽  
L Josseran
Keyword(s):  
Public Health ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Incidence Rate ◽  
Emergency Departments ◽  
Mild Tbi ◽  
Health Measures ◽  
High Incidence ◽  
High Incidence Rate ◽  
Screening Procedures

Abstract Background Traumatic brain injury (TBI) is a major public health issue, with a significant socio-economic burden. In France, very little is known about TBI epidemiology, and the TBI population is mainly described via studies carried out on the most severe patients. A large number of studies showed that a significant proportion of patients suffer from long-term disability after mild TBI (mTBI). This Post-Concussive Syndrome (PCS) remains poorly known by health professionals. Identifying early prognostic factors for the development of PCS is therefore essential, since it can ensure widespread clinical and economic benefits. This work aims at providing an updated description of the incidence of mild TBI (mTBI) based on data from Emergency Departments (ED) in the Ile-de-France (IDF) region (Paris area). Methods We estimated the mTBI incidence, using mainly data from the OSCOUR (Organisation de la Surveillance Coordonnée des Urgences) database from 01/01/2011 to 31/12/2015. The OSCOUR Network data collection methodology is based on the registration of all patients visiting the emergency services (ED) of participating hospitals. An extrapolation of the proportion of TBI patients visiting an OSCOUR ED to all ED of the IDF allowed us to compute a mTBI Annual Incidence Rate (AIR) in IDF. Results Between 2011 and 2015, 95,910 mTBI patients visited the OSCOUR ED in IDF, and the AIR was estimated at 292.4/100,000 inhabitants (when reported to the French population scale: a total of 196,000 mTBI are supposed to happen each year). Conclusions The surprisingly high incidence rate of mTBI observed in this study requires an evaluation of public health measures to prevent these injuries and reduce their consequences. New screening procedures should be implemented to point out the patients at risk for complications and PCS. Alongside the care aspect, prevention should be developed to reduce the incidence of TBIs, and prevention policies should be assessed by reiterating our evaluation. Key messages Between 2011 and 2015, 95,910 mTBI patients visited the OSCOUR Emergency Departments in Ile de France, and the annual incident rate was estimated at 292.4/100,000 inhabitants. The mTBI high incidence rate requires an evaluation of public health measures to prevent these injuries and reduce their consequences, but also the implementation of new screening procedures.

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