Demographic and socioeconomic determinants of COVID-19 across Oman - A geospatial modelling approach

Geospatial health, Год журнала: 2021, Номер 16(1)

Опубликована: Май 14, 2021

Local, bivariate relationships between coronavirus 2019 (COVID-19) infection rates and a set of demographic socioeconomic variables were explored at the district level in Oman. To limit multicollinearity principal component analysis was conducted, results which showed that three components together could explain 65% total variance therefore subjected to further study. Comparison generalized linear model (GLM) geographically weighted regression (GWR) indicated an improvement performance using GWR (goodness fit=93%) compared GLM fit=86%). The local coefficient determination (R2) significant influence specific factors on COVID-19, including percentages Omani non-Omani population various age levels; spatial interaction; density; number hospital beds; households; purchasing power; power per km2. No direct correlation COVID- 19 health facilities distribution or tobacco usage. This study suggests Poisson can address unobserved non-stationary relationships. Findings this promote current understanding impacting patterns COVID-19 Oman, allowing national authorities adopt more appropriate strategies cope with pandemic future also allocate effective prevention resources.

Язык: Английский

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Discovering optimal strategies for mitigating COVID-19 spread using machine learning: Experience from Asia

Sustainable Cities and Society, Год журнала: 2021, Номер 75, С. 103254 - 103254

Опубликована: Авг. 13, 2021

Язык: Английский

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Regression Analysis for COVID-19 Infections and Deaths Based on Food Access and Health Issues

Healthcare, Год журнала: 2022, Номер 10(2), С. 324 - 324

Опубликована: Фев. 8, 2022

COVID-19, or SARS-CoV-2, is considered as one of the greatest pandemics in our modern time. It affected people's health, education, employment, economy, tourism, and transportation systems. will take a long time to recover from these effects return lives back normal. The main objective this study investigate various factors health food access, their spatial correlation statistical association with COVID-19 spread. minor aim explore regression models on examining spread variables. To address objectives, we are studying interrelation socio-economic that would help all humans better prepare for next pandemic. One critical access distribution it could be high-risk population density places spreading virus infections. More variables, such income people density, influence pandemic In study, produced extent cases outlets by using analysis method geographic information methodology consisted clustering techniques overlaying mapping clusters infected cases. Post-mapping, analyzed clusters' proximity any variability, correlations between them, causal relationships. quantitative analyses issues areas against infections deaths were performed machine learning understand multi-variate factors. results indicate dependent variables independent Pearson R2-score = 0.44% R2 60% deaths. model an 0.60 useful show goodness fit

Язык: Английский

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Rain, rain, go away, come again another day: do climate variations enhance the spread of COVID-19?

Globalization and Health, Год журнала: 2024, Номер 20(1)

Опубликована: Май 14, 2024

Abstract The spread of infectious diseases was further promoted due to busy cities, increased travel, and climate change, which led outbreaks, epidemics, even pandemics. world experienced the severity 125 nm virus called coronavirus disease 2019 (COVID-19), a pandemic declared by World Health Organization (WHO) in 2019. Many investigations revealed strong correlation between humidity temperature relative kinetics virus’s into hosts. This study aimed solve riddle environmental factors COVID-19 applying RepOrting standards for Systematic Evidence Syntheses (ROSES) with designed research question. Five humidity-related themes were deduced via review processes, namely 1) link solar activity 2) Regional area, 3) Climate weather, 4) Relationship humidity, 5) Governmental disinfection actions guidelines. A significant relationship activities outbreaks reported throughout past studies. grand minima (1450-1830) (1975-2020) coincided global pandemic. Meanwhile, cooler, lower low wind movement environment higher cases. Moreover, confirmed cases death countries located within Northern Hemisphere. Blackbox through work conducted this paper that thrives cooler low-humidity environments, emphasis on potential treatments government measures humidity. Highlights • (COIVD-19) is spreading faster temperatures humid area. Weather serve as drivers propagating COVID-19. Solar radiation influences weather population factor Graphical abstract

Язык: Английский

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The influence of weather and urban environment characteristics on upper respiratory tract infections: a systematic review

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Фев. 10, 2025

Background Weather can independently affect the occurrence of respiratory tract infections (RTIs) in urban areas. Built environments cities could further modify exposure to weather and consequently risk RTIs, but their combined effects on are not known. Objectives Our aim was synthesize evidence influence RTIs areas examine whether built associated with both RTIs. Methods A systematic search Scopus, PubMed, Web Science databases conducted 9th August 2022 following PRISMA guidelines. Studies were included review based predefined criteria by screening 5,789 articles reviewing reference lists relevant studies. The quality studies assessed using AXIS appraisal tool, results analyzed narrative synthesis. Results Twenty-one eligible focusing COVID-19 influenza transmissions, review. All register ecological design. Low temperature (11/19 studies) most often increased RTI. Humidity showed either negative (5/14 studies), positive (3/14 or no (6/14 relation association between wind solar radiation inconclusive. Population density positively (14/15 studies). Conclusions shows that low increases areas, where also high population infection risk. study highlights need assess relationship environment characteristics, weather,

Язык: Английский

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