Dataset Information

Precision Mapping of COVID-19 Vulnerable Locales by Epidemiological and Socioeconomic Risk Factors, Developed Using South Korean Data.

ABSTRACT: COVID-19 has severely impacted socioeconomically disadvantaged populations. To support pandemic control strategies, geographically weighted negative binomial regression (GWNBR) mapped COVID-19 risk related to epidemiological and socioeconomic risk factors using South Korean incidence data (January 20, 2020 to July 1, 2020). We constructed COVID-19-specific socioeconomic and epidemiological themes using established social theoretical frameworks and created composite indexes through principal component analysis. The risk of COVID-19 increased with higher area morbidity, risky health behaviours, crowding, and population mobility, and with lower social distancing, healthcare access, and education. Falling COVID-19 risks and spatial shifts over three consecutive time periods reflected effective public health interventions. This study provides a globally replicable methodological framework and precision mapping for COVID-19 and future pandemics.

SUBMITTER: Weinstein B

PROVIDER: S-EPMC7828122 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Precision Mapping of COVID-19 Vulnerable Locales by Epidemiological and Socioeconomic Risk Factors, Developed Using South Korean Data.

Weinstein Bayarmagnai B da Silva Alan R AR Kouzoukas Dimitrios E DE Bose Tanima T Kim Gwang-Jin GJ Correa Paola A PA Pondugula Santhi S Lee YoonJung Y Kim Jihoo J Carpenter David O DO

International journal of environmental research and public health 20210112 2

COVID-19 has severely impacted socioeconomically disadvantaged populations. To support pandemic control strategies, geographically weighted negative binomial regression (GWNBR) mapped COVID-19 risk related to epidemiological and socioeconomic risk factors using South Korean incidence data (January 20, 2020 to July 1, 2020). We constructed COVID-19-specific socioeconomic and epidemiological themes using established social theoretical frameworks and created composite indexes through principal comp ...[more]

PMID: 33445701

Similar Datasets

Project description:ObjectiveTo compare treatment effects from randomised trials conducted in more developed versus less developed countries.DesignMeta-epidemiological study.Data sourcesCochrane Database of Systematic Reviews (August 2012).Data extractionMeta-analyses with mortality outcomes including data from at least one randomised trial conducted in a less developed country and one in a more developed country. Relative risk estimates of more versus less developed countries were compared by calculating the relative relative risks for each topic and the summary relative relative risks across all topics. Similar analyses were performed for the primary binary outcome of each topic.Results139 meta-analyses with mortality outcomes were eligible. No nominally significant differences between more developed and less developed countries were found for 128 (92%) meta-analyses. However, differences were beyond chance in 11 (8%) cases, always showing more favourable treatment effects in trials from less developed countries. The summary relative relative risk was 1.12 (95% confidence interval 1.06 to 1.18; P<0.001; I(2)=0%), suggesting significantly more favourable mortality effects in trials from less developed countries. Results were similar for meta-analyses with nominally significant treatment effects for mortality (1.15), meta-analyses with recent trials (1.14), and when excluding trials from less developed countries that subsequently became more developed (1.12). For the primary binary outcomes (127 meta-analyses), 20 topics had differences in treatment effects beyond chance (more favourable in less developed countries in 15/20 cases).ConclusionsTrials from less developed countries in a few cases show significantly more favourable treatment effects than trials in more developed countries and, on average, treatment effects are more favourable in less developed countries. These discrepancies may reflect biases in reporting or study design as well as genuine differences in baseline risk or treatment implementation and should be considers when generalising evidence across different settings.

Project description:The Korea - United States Air Quality Study (May - June 2016) deployed instrumented aircraft and ground-based measurements to elucidate causes of poor air quality related to high ozone and aerosol concentrations in South Korea. This work synthesizes data pertaining to aerosols (specifically, particulate matter with aerodynamic diameters <2.5 micrometers, PM2.5) and conditions leading to violations of South Korean air quality standards (24-hr mean PM2.5 < 35 μg m-3). PM2.5 variability from AirKorea monitors across South Korea is evaluated. Detailed data from the Seoul vicinity are used to interpret factors that contribute to elevated PM2.5. The interplay between meteorology and surface aerosols, contrasting synoptic-scale behavior vs. local influences, is presented. Transboundary transport from upwind sources, vertical mixing and containment of aerosols, and local production of secondary aerosols are discussed. Two meteorological periods are probed for drivers of elevated PM2.5. Clear, dry conditions, with limited transport (Stagnant period), promoted photochemical production of secondary organic aerosol from locally emitted precursors. Cloudy humid conditions fostered rapid heterogeneous secondary inorganic aerosol production from local and transported emissions (Transport/Haze period), likely driven by a positive feedback mechanism where water uptake by aerosols increased gas-to-particle partitioning that increased water uptake. Further, clouds reduced solar insolation, suppressing mixing, exacerbating PM2.5 accumulation in a shallow boundary layer. The combination of factors contributing to enhanced PM2.5 is challenging to model, complicating quantification of contributions to PM2.5 from local versus upwind precursors and production. We recommend co-locating additional continuous measurements at a few AirKorea sites across South Korea to help resolve this and other outstanding questions: carbon monoxide/carbon dioxide (transboundary transport tracer), boundary layer height (surface PM2.5 mixing depth), and aerosol composition with aerosol liquid water (meteorologically-dependent secondary production). These data would aid future research to refine emissions targets to further improve South Korean PM2.5 air quality.

Project description:Zoonotic diseases continue to affect the health and livelihood of resource limited communities. In Ethiopia, despite the presence of a national master plan for prevention, control and elimination of some common zoonotic diseases, well-organized epidemiological data regarding incidence and distribution are lacking. A retrospective cross-sectional study based on a patient medical data recorded from 2012-2016 in selected districts of Southern Tigray, North Wollo zone of Amhara region and Ab'Ala district of Afar region was conducted to map the distribution and Incidence proportion of major zoonotic diseases. The incidence proportion of four major zoonotic diseases (helminthiasis, tuberculosis (TB), rabies and schistosomiasis) was mapped using qGIS software based on the Health Management Information System (HMIS) data collected from district health facilities. The result indicated that, out of a total 1,273,145 observed human disease cases, 53,614 (4.2%) of them were potential zoonotic diseases that include: helminthiasis (51,192), TB (2,085), rabies (227), schistosomiasis (105) and visceral leishmaniasis (7). The highest incidence proportion of TB (262.8 cases per 100,000 population) and rabies (33.2 cases per 100,000 population) were recorded in Gubalafto and Weldya followed by Raya Alamata (253.4 cases per 100,000 population %), and Ab'Ala and Raya Azebo (29 cases each per 100,000 population) for TB and rabies, respectively. The highest incidence proportion for schistosomiasis was reported in Raya Alamata (50.1 cases per 100,000 population) followed by Gubalafto and Weldya (10.8 cases per 100,000 population). The incidence proportion of visceral leishmaniasis per 100,000 population was 4.1, 1.3 and 1.2 cases for Ab'Ala, Gubalafto and Weldiya, and Raya Azebo districts, respectively. Except rabies, which showed high incidence proportion (p<0.0001) in 5-14 age groups, the other zoonotic diseases showed higher incidence proportion (p<0.0001) in age groups above 15 years. Rabies, helminthiasis and schistosomiasis showed statistically significant variation (p<0.0001) among seasons. Rabies and TB showed decreasing trend within the data recorded years. In animals, only 31 rabies cases and 15 anthrax cases were recorded from 2012 to 2016. This finding highlighted the distribution and incidence of some major zoonotic diseases in the study areas. Systematic and detailed research should be conducted in the future to map the distribution of major zoonotic diseases at regional and country level so as to initiate integrated effort from human and animal health authorities and professionals.

Project description:ObjectiveDespite some progress in recent years, colorectal cancer (CRC) screening adherence in the United States is still suboptimal, particularly among disadvantaged groups. In this study, we assessed the association between socioeconomic status (SES) and self-reported screening non-adherence (SNA) in a sample of racial/ethnic minorities living in San Francisco, California.Design/methodsA total of 376 participants of the San Francisco version of the Health Information National Trends Survey (SF-HINTS) with ages 50-75 years were included in this cross-sectional study. SNA was defined as not reporting blood stool test within the past year and not reporting sigmoidoscopy/colonoscopy within the past 10 years. Poisson regression models with robust variance estimators were used to evaluate the relation of SES with SNA, adjusting for measured confounders. Results are reported as prevalence ratios (PR) and 95% confidence intervals (95% CI).ResultsOverall SNA was 40%. In multivariable models including all respondents, retired participants had significantly lower SNA prevalence than employed participants (PR = 0.46, 95% CI = 0.26 0.83). In stratified analyses by race/ethnicity, Black respondents with less than high school (PR = 1.93, 95% CI = 1.09, 3.43) and those with high school or equivalent (PR = 1.88, 95% CI = 1.16, 3.04) had significantly higher SNA prevalence than those with at least some college. Among non-Hispanic Asian/Pacific Islanders, those disabled had significantly higher prevalence of SNA as compared to employed people (PR = 4.26, 95% CI = 2.11, 8.60). None of the SES indicators were significantly associated to SNA among Hispanics.ConclusionsParticipants with lower SES characteristics were less likely to adhere to CRC screening guidelines and being retired was a predictor of compliance. There was evidence of heterogeneity in associations between SES and CRC screening by race/ethnicity. Life circumstances of retired people could provide insights for designing interventions aimed to improve CRC screening uptake in these priority groups. Future efforts should consider mechanisms underlying differences by race/ethnicity.

Dataset Information

Precision Mapping of COVID-19 Vulnerable Locales by Epidemiological and Socioeconomic Risk Factors, Developed Using South Korean Data.

Publications

Precision Mapping of COVID-19 Vulnerable Locales by Epidemiological and Socioeconomic Risk Factors, Developed Using South Korean Data.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets