Regression Analysis for COVID-19 Infections and Deaths Based on Food Access and Health Issues DOI Open Access
Abrar Almalki, Balakrishna Gokaraju, Yaa Takyiwaa Acquaah

et al.

Healthcare, Journal Year: 2022, Volume and Issue: 10(2), P. 324 - 324

Published: Feb. 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

Language: Английский

Effects of the built environment and human factors on the spread of COVID-19: A systematic literature review DOI
Mehdi Alidadi, Ayyoob Sharifi

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 850, P. 158056 - 158056

Published: Aug. 17, 2022

Language: Английский

Citations

70
Bidirectional association between COVID-19 and the environment: A systematic review DOI Open Access
Nayereh Rezaie Rahimi,

Reza Fouladi-Fard,

Rahim Aali

et al.

Environmental Research, Journal Year: 2020, Volume and Issue: 194, P. 110692 - 110692

Published: Dec. 29, 2020

Language: Английский

Citations

110
A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020 DOI Open Access
Iván Franch-Pardo, Michael R. Desjardins,

Isabel Barea‐Navarro

et al.

Transactions in GIS, Journal Year: 2021, Volume and Issue: 25(5), P. 2191 - 2239

Published: July 11, 2021

COVID-19 has infected over 163 million people and resulted in 3.9 deaths. Regarding the tools strategies to research ongoing pandemic, spatial analysis been increasingly utilized study impacts of COVID-19. This article provides a review 221 scientific articles that used science pandemic published from June 2020 December 2020. The main objectives are: identify techniques by authors; subjects addressed their disciplines; classify studies based on applications. contribution will facilitate comparisons with body work during first half 2020, revealing evolution phenomenon through lens analysis. Our results show there was an increase use both statistical (e.g., geographically weighted regression, Bayesian models, regression) applied socioeconomic variables at finer temporal scales. We found remote sensing approaches, which are now widely around world. Lockdowns associated changes human mobility have extensively examined using spatiotemporal techniques. Another dominant topic studied relationship between pollution dynamics, enhance impact activities pandemic's evolution. represents shift when focused climatic weather factors. Overall, we seen vast transmission risk

Language: Английский

Citations

64
Social, economic, and environmental factors influencing the basic reproduction number of COVID-19 across countries DOI Creative Commons
Jude Dzevela Kong, Edward W. Tekwa, Sarah Gignoux‐Wolfsohn

et al.

PLoS ONE, Journal Year: 2021, Volume and Issue: 16(6), P. e0252373 - e0252373

Published: June 9, 2021

To assess whether the basic reproduction number (R0) of COVID-19 is different across countries and what national-level demographic, social, environmental factors other than interventions characterize initial vulnerability to virus.

Language: Английский

Citations

63
Association between population density and infection rate suggests the importance of social distancing and travel restriction in reducing the COVID-19 pandemic DOI Creative Commons

Heliang Yin,

Tong Sun, Lan Yao

et al.

Environmental Science and Pollution Research, Journal Year: 2021, Volume and Issue: 28(30), P. 40424 - 40430

Published: Jan. 13, 2021

Language: Английский

Citations

59
Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic DOI Creative Commons
Nora El-Rashidy,

Samir Abdelrazik,

Tamer Abuhmed

et al.

Diagnostics, Journal Year: 2021, Volume and Issue: 11(7), P. 1155 - 1155

Published: June 24, 2021

Since December 2019, the global health population has faced rapid spreading of coronavirus disease (COVID-19). With incremental acceleration number infected cases, World Health Organization (WHO) reported COVID-19 as an epidemic that puts a heavy burden on healthcare sectors in almost every country. The potential artificial intelligence (AI) this context is difficult to ignore. AI companies have been racing develop innovative tools contribute arm world against pandemic and minimize disruption it may cause. main objective study survey decisive role technology used fight pandemic. Five significant applications for were found, including (1) diagnosis using various data types (e.g., images, sound, text); (2) estimation possible future spread based current confirmed cases; (3) association between infection patient characteristics; (4) vaccine development drug interaction; (5) supporting applications. This also introduces comparison datasets. Based limitations literature, review highlights open research challenges could inspire application COVID-19.

Language: Английский

Citations

57
Relationship between COVID-19 infection rates and air pollution, geo-meteorological, and social parameters DOI Creative Commons
Md. Shareful Hassan,

Mohammad Amir Hossain Bhuiyan,

Faysal Tareq

et al.

Environmental Monitoring and Assessment, Journal Year: 2021, Volume and Issue: 193(1)

Published: Jan. 1, 2021

Like all infectious diseases, the infection rate of COVID-19 is dependent on many variables. In order to effectively prepare a localized plan for disease management, it important find relationship between and other key This study aims understand spatial relationships variables air pollution, geo-meteorological, social parameters in Dhaka, Bangladesh. The was analyzed using Geographically Weighted Regression (GWR) model Geographic Information System (GIS) by means as variable 17 independent revealed that pollution like PM2.5 (p < 0.02), AOT 0.01), CO 0.05), water vapor O3 0.01) were highly correlated with while geo-meteorological DEM wind pressure LST 0.04), rainfall speed 0.03) also similarly associated. Social population density brickfield poverty level showed high coefficients rate. Significant robust these factors found middle southern parts city where reported case higher. Relevant agencies can utilize findings formulate new smart strategies reducing diseases Dhaka similar urban cities around world. Future studies will have more including ecological, meteorological, economical spread COVID-19.

Language: Английский

Citations

44
Investigating consistent effects of the urban built environment and human mobility on COVID-19 outbreaks: A comprehensive meta-analysis DOI
Mijin Choo, Hyewon Yoon, Dong Keun Yoon

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 102, P. 105226 - 105226

Published: Jan. 21, 2024

Language: Английский

Citations

8
Neighborhood-level inequalities and influencing factors of COVID-19 incidence in Berlin based on Bayesian spatial modelling DOI Creative Commons
Sida Zhuang, Kathrin Wolf,

Tillman Schmitz

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 104, P. 105301 - 105301

Published: Feb. 23, 2024

Numerous studies have explored influencing factors in COVID-19, yet empirical evidence on spatiotemporal dynamics of COVID-19 inequalities concerning both socioeconomic and environmental at an intra-urban scale is lacking. This study, therefore, focuses neighborhood-level spatial the incidences relation to for Berlin-Neukölln, Germany, covering six pandemic periods (March 2020 December 2021). Spatial Bayesian negative binomial mixed-effect models were employed identify risk patterns different periods. We identified that (1) relative risks varied across time space, with sociodemographic exerting a stronger influence over features; (2) as most predictors, population migrant backgrounds was positively associated, 65 negatively associated incidence; (3) certain neighborhoods consistently faced elevated incidence. study highlights potential structural health within communities, lower status higher incidence diverse Our findings indicate locally tailored interventions citizens are essential address foster more sustainable urban environment.

Language: Английский

Citations

8
Identification of risk factors contributing to COVID-19 incidence rates in Bangladesh: A GIS-based spatial modeling approach DOI Creative Commons
Md. Hamidur Rahman, Niaz Mahmud Zafri, Fajle Rabbi Ashik

et al.

Heliyon, Journal Year: 2021, Volume and Issue: 7(2), P. e06260 - e06260

Published: Feb. 1, 2021

BackgroundCOVID-19 pandemic outbreak is an unprecedented shock throughout the world, which has generated a massive social, human, and economic crisis. Identification of risk factors crucial to prevent COVID-19 spread by taking appropriate countermeasures effectively. Therefore, this study aimed identify potential contributing incidence rates at district-level in Bangladesh.MethodSpatial regression methods were applied fulfill aim. Data related 28 demographic, economic, built environment, health, facilities collected from secondary sources analyzed explain spatial variability disease incidence. Three global (ordinary least squares (OLS), lag model (SLM), error (SEM)) one local (geographically weighted (GWR)) models developed study.ResultsThe results identified four factors: percentage urban population, monthly consumption, number health workers, distance capital city, as significant affecting Bangladesh. Among models, GWR performed best explaining variation across Bangladesh, with R2 value 78.6%.ConclusionFindings discussions research offer better insight into situation, helped discuss policy implications negotiate future epidemic The primary response would be decentralize population activities around Dhaka, create self-sufficient regions country, especially north-western region.

Language: Английский

Citations

40