Dataset Information

Effect of environmental and socio-economic factors on the spreading of COVID-19 at 70 cities/provinces.

ABSTRACT: The main goal of this article is to demonstrate the impact of environmental and socio-economic factors on the spreading of COVID-19. In this research, data has been collected from 70 cities/provinces of different countries around the world that are affected by COVID-19. In this research, environmental data such as temperatures, humidity, air quality and population density and socio-economic data such as GDP (PPP) per capita, per capita health expenditure, life expectancy and total test in each of these cities/provinces are considered. This data has been analyzed using statistical models such as Poisson and negative binomial models. It is found that a negative binomial regression model is the best fit for our data. Our results reveal higher population density to be an important factor for the quick spread of COVID-19 as maintenance of social distancing requirements are more difficult in urban areas. Moreover, GDP (PPP) and PM_2.5 are linked with fewer cases of COVID-19 whereas PM₁₀, and total number of tests are strongly associated with the increase of COVID-19 case counts.

SUBMITTER: Ahmed J

PROVIDER: S-EPMC8098045 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Effect of environmental and socio-economic factors on the spreading of COVID-19 at 70 cities/provinces.

Ahmed Jishan J Jaman Md Hasnat MH Saha Goutam G Ghosh Pratyya P

Heliyon 20210505 5

The main goal of this article is to demonstrate the impact of environmental and socio-economic factors on the spreading of COVID-19. In this research, data has been collected from 70 cities/provinces of different countries around the world that are affected by COVID-19. In this research, environmental data such as temperatures, humidity, air quality and population density and socio-economic data such as GDP (PPP) per capita, per capita health expenditure, life expectancy and total test in each o ...[more]

PMID: 33969235

Similar Datasets

Project description:Environmental quality is a sustainability issue influenced by economic realities. To understand their relationships and influence, a comparative study of economic factors that affect pollution in Iwo and Ibadan metropolia was carried out. Data for the study was generated by administering 1067 structured questionnaires at both locations out of which 215 and 658 were, respectively, retrieved from Iwo and Ibadan. Demographic features of the respondents assessed as female gender, married status, tertiary education, a Christian sect, and household size of two to five, were 52%, 67%,79%, 67%, and 55% in that order for Iwo; while for Ibadan, the figures were 67%, 61%, 86%, 69%, and 58% in the same order. The six economic factors evaluated were; (1) income, (2) accommodation & living standards, (3) waste & noise management regimen, (4) energy utilization (5), inclination toward a green economy, and (6) waste sorting technology and adoption. KMO (74.8%) and Bartlett's Test of Sphericity showed that the data were factorable at p < 0.005. Results considered three of the economic variables as significant enough to explain 59.3% of the pollution state in Iwo and 60.2% in Ibadan. Of major importance for Iwo were waste & noise management regime (22.5%), accommodation & living standards (18.7%), and inclination towards a green economy (18.3%). In Ibadan, the three extracted factors also explained 60.2% of all economic variables affecting pollution. These were accommodation and living standards (24.4%), inclination towards a green economy (18.8%), and waste & noise management regime (17.0%). That means the strong economic influencers of pollution were common to both cities, even though, their order of importance varied. In other words, their degree of influence on pollution may be location dependent. Conclusively, the people's standard of living and inclination towards a green economy are compelling determinants of environmental pollution and so should be considered by stakeholders in formulating associated policies.

Project description:BackgroundLymphatic filariasis (LF) is a vector-borne parasitic disease which affects 70 million people worldwide and causes life-long disabilities. In Bangladesh, there are an estimated 44,000 people suffering from clinical conditions such as lymphoedema and hydrocoele, with the greatest burden in the northern Rangpur division. To better understand the factors associated with this distribution, this study examined socio-economic and environmental factors at division, district, and sub-district levels.MethodologyA retrospective ecological study was conducted using key socio-economic (nutrition, poverty, employment, education, house infrastructure) and environmental (temperature, precipitation, elevation, waterway) factors. Characteristics at division level were summarised. Bivariate analysis using Spearman's rank correlation coefficient was conducted at district and sub-district levels, and negative binomial regression analyses were conducted across high endemic sub-districts (n = 132). Maps were produced of high endemic sub-districts to visually illustrate the socio-economic and environmental factors found to be significant.ResultsThe highest proportion of rural population (86.8%), poverty (42.0%), tube well water (85.4%), and primary employment in agriculture (67.7%) was found in Rangpur division. Spearman's rank correlation coefficient at district and sub-district level show that LF morbidity prevalence was significantly (p<0.05) positively correlated with households without electricity (district rs = 0.818; sub-district rs = 0.559), households with tube well water (sub-district rs = 0.291), households without toilet (district rs = 0.504; sub-district rs = 0.40), mean annual precipitation (district rs = 0.695; sub-district rs = 0.503), mean precipitation of wettest quarter (district rs = 0.707; sub-district rs = 0.528), and significantly negatively correlated with severely stunted children (district rs = -0.723; sub-district rs = -0.370), mean annual temperature (district rs = -0.633.; sub-district rs = 0.353) and mean temperature (wettest quarter) ((district rs = -0.598; sub-district rs = 0.316) Negative binomial regression analyses at sub-district level found severely stunted children (p = <0.001), rural population (p = 0.002), poverty headcount (p = 0.001), primary employment in agriculture (p = 0.018), households without toilet (p = <0.001), households without electricity (p = 0.002) and mean temperature (wettest quarter) (p = 0.045) to be significant.ConclusionsThis study highlights the value of using available data to identify key drivers associated with high LF morbidity prevalence, which may help national LF programmes better identify populations at risk and implement timely and targeted public health messages and intervention strategies.

Project description:BackgroundTemperature has a significant impact on dengue incidence, however, changes on the temperature-dengue relationship across axes of socio-economic vulnerability is not well described. This study sought to determine the association between dengue and temperature in multiple locations in the Philippines and explore the effect modification by socio-economic factors.MethodNationwide dengue cases per province from 2010 to 2019 and data on temperature were obtained from the Philippines' Department of Health-Epidemiological Bureau and ERA5-land, respectively. A generalized additive mixed model (GAMM) with a distributed lag non-linear model was utilized to examine the association between temperature and dengue incidence. We further implemented an interaction analysis in determining how socio-economic factors modify the association. All analyses were implemented using R programming.ResultsNationwide temperature-dengue risk function was noted to depict an inverted U-shaped pattern. Dengue risk increased linearly alongside increasing mean temperature from 15.8 degrees Celsius and peaking at 27.5 degrees Celsius before declining. However, province-specific analyses revealed significant heterogeneity. Socio-economic factors had varying impact on the temperature-dengue association. Provinces with high population density, less people in urban areas with larger household size, high poverty incidence, higher health spending per capita, and in lower latitudes were noted to exhibit statistically higher dengue risk compared to their counterparts at the upper temperature range.ConclusionsThis observational study found that temperature was associated with dengue incidence, and that this association is more apparent in locations with high population density, less people in urban areas with larger household size, high poverty incidence, higher health spending per capita, and in lower latitudes. Differences with socio-economic conditions is linked with dengue risk. This highlights the need to develop interventions tailor-fit to local conditions.

Dataset Information

Effect of environmental and socio-economic factors on the spreading of COVID-19 at 70 cities/provinces.

Publications

Effect of environmental and socio-economic factors on the spreading of COVID-19 at 70 cities/provinces.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets