Gis And Remote Sensing: A Review Of Applications To The Study Of The Covid-19 Pandemic DOI Creative Commons
Quoc Lap Kieu, Thành Tiên Nguyễn,

Anh-huy Hoang

и другие.

GEOGRAPHY ENVIRONMENT SUSTAINABILITY, Год журнала: 2021, Номер 14(4), С. 117 - 124

Опубликована: Дек. 29, 2021

The spread of the 2019 novel coronavirus disease (COVID-19) has engulfed world with a rapid, unexpected, and far-reaching global crisis. In study COVID-19, Geographic Information Systems (GIS) Remote Sensing (RS) have played an important role in many aspects, especially fight against COVID-19. This review summarises 102 scientific papers on applications GIS RS studies COVID-19 pandemic. this study, two themes RS-related are grouped into six categories including spatio-temporal changes, WebGISbased mapping, correlation between natural, socio-economic factors, environmental impacts. findings provide insight how to apply new techniques (GIS RS) better understand, manage evolution pandemic effectively assess its

Язык: 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, Год журнала: 2022, Номер 850, С. 158056 - 158056

Опубликована: Авг. 17, 2022

Язык: Английский

Процитировано

70

Spatial association of mobility and COVID-19 infection rate in the USA: A county-level study using mobile phone location data DOI Open Access
Ahmad Ilderim Tokey

Journal of Transport & Health, Год журнала: 2021, Номер 22, С. 101135 - 101135

Опубликована: Июль 13, 2021

Язык: Английский

Процитировано

57

Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review DOI Open Access
Nushrat Nazia, Zahid A Butt, Melanie Lyn Bedard

и другие.

International Journal of Environmental Research and Public Health, Год журнала: 2022, Номер 19(14), С. 8267 - 8267

Опубликована: Июль 6, 2022

The spread of the COVID-19 pandemic was spatially heterogeneous around world; transmission disease is driven by complex spatial and temporal variations in socioenvironmental factors. Spatial tools are useful supporting control programs. A substantive review merits methodological approaches used to understand epidemiology hardly undertaken. In this study, we reviewed identify spatiotemporal socioeconomic, demographic climatic drivers such variations. We conducted a systematic literature search studies published English from Embase, Scopus, Medline, Web Science databases 1 January 2019 7 September 2021. Methodological quality assessments were also performed using Joanna Briggs Institute (JBI) risk bias tool. total 154 met inclusion criteria that frequentist (85%) Bayesian (15%) modelling clusters associated models incorporated various spatial, effects into schemes. This highlighted need for more local-level advanced through multi-level framework prevention strategies.

Язык: Английский

Процитировано

47

GIS-based compactness measurement of urban form at neighborhood scale: The case of Dhaka, Bangladesh DOI Creative Commons
Md. Hamidur Rahman,

Md Hedaetul Islam,

Meher Nigar Neema

и другие.

Journal of Urban Management, Год журнала: 2021, Номер 11(1), С. 6 - 22

Опубликована: Сен. 6, 2021

Compact development is broadly professed for making significant contributions to achieve sustainable growth of cities. Therefore, evaluation the existing compactness urban areas crucial guiding future development. Previous studies measured areas' at a city or metropolitan scale in developed country context. Hence, considerable research gap exists studying neighborhood scale, especially from developing country. This paper aims evaluate and compare level neighborhoods GIS environment through six indicators-population density, evenness development, clustering nature land-use diversity, floor use mix, road network connectivity eight Dhaka city, Bangladesh. For this, study Composite Compactness Index (CCI) based on multi-criteria decision-making (MCDM) approach. Study results classified four as low compact, three moderately one high compact neighborhood. Travel behavior analysis modal share, travel time, distance validated neighborhoods' tenability. Here, identified moderate require immediate planning interventions improving their level. Results this can work preliminary guideline planners, policymakers, agencies designing more efficient form scale. The methodology presented here be applied other with refinements necessary corresponding geographic location.

Язык: Английский

Процитировано

53

Investigating the impacts of transit-oriented development on transport-related CO2 emissions DOI
Fajle Rabbi Ashik, Md. Hamidur Rahman, Md. Kamruzzaman

и другие.

Transportation Research Part D Transport and Environment, Год журнала: 2022, Номер 105, С. 103227 - 103227

Опубликована: Март 12, 2022

Язык: Английский

Процитировано

32

What have we learned about socioeconomic inequalities in the spread of COVID-19? A systematic review DOI Open Access
Francisco Benita,

Leonardo Rebollar-Ruelas,

Edgar David Gaytán-Alfaro

и другие.

Sustainable Cities and Society, Год журнала: 2022, Номер 86, С. 104158 - 104158

Опубликована: Авг. 31, 2022

Язык: Английский

Процитировано

29

Tokyo's COVID-19: An urban perspective on factors influencing infection rates in a global city DOI Creative Commons
Mehdi Alidadi, Ayyoob Sharifi, Daisuke Murakami

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 97, С. 104743 - 104743

Опубликована: Июнь 28, 2023

This research investigates the relationship between COVID-19 and urban factors in Tokyo. To understand spread dynamics of COVID-19, study examined 53 variables (including population density, socio-economic status, housing conditions, transportation, land use) municipalities Tokyo prefecture. Using spatial models, analysed patterns predictors infection rates. The findings revealed that cases were concentrated central Tokyo, with clustering levels decreasing after outbreaks. rates higher areas a greater density retail stores, restaurants, health facilities, workers those sectors, public transit use, telecommuting. However, household crowding was negatively associated. also found telecommuting rate strongest according to regression model time-fixed effects, which had best validation stability. study's results could be useful for researchers policymakers, particularly because Japan have unique circumstances, as there no mandatory lockdown during pandemic.

Язык: Английский

Процитировано

20

Review of Associations between Built Environment Characteristics and Severe Acute Respiratory Syndrome Coronavirus 2 Infection Risk DOI Open Access
Jingjing Wang, Xueying Wu, Ruoyu Wang

и другие.

International Journal of Environmental Research and Public Health, Год журнала: 2021, Номер 18(14), С. 7561 - 7561

Опубликована: Июль 15, 2021

The coronavirus disease 2019 pandemic has stimulated intensive research interest in its transmission pathways and infection factors, e.g., socioeconomic demographic characteristics, climatology, baseline health conditions or pre-existing diseases, government policies. Meanwhile, some empirical studies suggested that built environment attributes may be associated with the mechanism risk of severe acute respiratory syndrome 2 (SARS-CoV-2). However, no review been conducted to explore effect characteristics on risk. This gap prevents officials urban planners from creating effective design guidelines contain SARS-CoV-2 infections face future challenges. summarizes evidence 25 provides an overview Virus was positively density commercial facilities, roads, schools public transit accessibility, whereas it negatively availability green spaces. recommends several directions for studies, namely using longitudinal individual-level data, considering multilevel factors extending diversified geographic areas.

Язык: Английский

Процитировано

39

Spatiotemporal clustering patterns and sociodemographic determinants of COVID-19 (SARS-CoV-2) infections in Helsinki, Finland DOI Creative Commons
Mika Siljander, Ruut Uusitalo, Petri Pellikka

и другие.

Spatial and Spatio-temporal Epidemiology, Год журнала: 2022, Номер 41, С. 100493 - 100493

Опубликована: Фев. 5, 2022

This study aims to elucidate the variations in spatiotemporal patterns and sociodemographic determinants of SARS-CoV-2 infections Helsinki, Finland. Global local spatial autocorrelation were inspected with Moran's I LISA statistics, Getis-Ord Gi* statistics was used identify hot spot areas. Space-time detect clusters high relative risk regression models implemented explain for clusters. The findings revealed presence clustering COVID-19 cases. High-high areas emerged primarily Helsinki's eastern neighborhoods, which are socioeconomically vulnerable, a few exceptions revealing outbreaks other variation rates largely explained by median income number foreign citizens population. Furthermore, use multiple analysis methods recommended gain deeper insights into complex

Язык: Английский

Процитировано

28

Investigating spatial accessibility to urban facility outcome of transit-oriented development in Dhaka DOI Creative Commons
Md. Hamidur Rahman, Fajle Rabbi Ashik,

Mamata Jafrin Mouli

и другие.

Transportation Research Interdisciplinary Perspectives, Год журнала: 2022, Номер 14, С. 100607 - 100607

Опубликована: Май 5, 2022

Transit-oriented development (TOD) is credited with improving urban residents' quality of life (QoL) and social sustainability by ensuring adequate convenient spatial access to facilities. However, there insufficient empirical evidence suggest that TOD likely ensure accessibility facilities in developing countries. Using Dhaka as a case study, this study aims at answering question by: a) assessing neighborhood's potential for using cluster analysis built environment (BE) factors (job-household ratio, cul-de-sac density, connected node land use diversity, distance transit stop, public accessibility); b) authenticating the selection types based on travel behavior property value; c) quantifying an integrated index two time periods finding their association TOD; d) identifying relationship among BE indicators year 2019 Ordinary Least Square (OLS), Spatial Lag Model (SLM), Error (SEM). The results demonstrated neighborhoods possess better compared non-TODs. has also increased significantly areas over time. Regression models indicate statistically significant between variables indicators. SEM model was most effective describing variation geographic when other regression models-OLS SLM. These findings would recommend policymakers planners continue advocate

Язык: Английский

Процитировано

26