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Cited by 14 publications
(15 citation statements)
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“…Urban population percentage was found to be proportionally related to COVID-19 incidence rates which implies urbanization paves the way to increase the likelihood of transmission of COVID-19. High urban population leads to increase movement and activities of people in high-density urban area (Hamidi et al, 2020; Ramírez-Aldana, Gomez-Verjan, & Bello-Chavolla, 2020). The higher the population density is, the more likelihood to come in proximate contact between an infector and infectee (You, Wu, & Guo, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Urban population percentage was found to be proportionally related to COVID-19 incidence rates which implies urbanization paves the way to increase the likelihood of transmission of COVID-19. High urban population leads to increase movement and activities of people in high-density urban area (Hamidi et al, 2020; Ramírez-Aldana, Gomez-Verjan, & Bello-Chavolla, 2020). The higher the population density is, the more likelihood to come in proximate contact between an infector and infectee (You, Wu, & Guo, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Socio-economic and environmental aspects including population density, urban and rural settings, education level, lifestyle, the size of household and homeowners and climate conditions have been identified to affect the risk of catching the virus [8]. Similarly, several factors including age, urbanization, distance between cities and provinces, mean ambient temperature and level of literacy rate were spatially considered for the COVID-19 outbreak in Iran [9]. Boulos et al (2020), worked on understanding widespread of SARS-CoV-2 around the world through geographical tracking and mapping [4].…”
Section: Introductionmentioning
confidence: 99%
“…Literature supports that some certain studies were carried out over different parts of the world regarding the analysis of COVID-19 spatially (Zhou et al 2020 ; Fan et al 2020 , Gatto et al 2020 , Murugesan et al 2020 ; Kamel-Boulos and Geraghty 2020 ; Meyer et al 2017 ; Mo et al 2020 ; Roy et al 2020 ). Particularly, a comprehensive study on the nature of spatial spreading, geospatial pattern of transmission, vulnerability, and risk level along with hot spots analysis of COVID-19 were not widely analyzed (Ramírez-Aldana et al 2020 ; Huang et al 2020 ; Jia et al 2020 ; Kang et al 2020 ; Melin et al 2020 ; Ghosh et al 2020 ; Mishra et al 2020 ; Acharya and Porwal 2020 ). Conversely, in case of Bangladesh, in-depth study of COVID-19 using geospatial approach was very rare (Sakamoto et al 2020 ; Masrur et al 2020 ) and which were available mostly epidemiological, temporal, and modelling based and some of those mainly highlighted the impacts of COVID-19 on the economy, society, health, and environment (Anwar et al 2020 ; Bodrud-Doza 2020 ; Hossain et al 2020 ; Jahan et al 2020 ; Khan et al 2020a , b ; Khan et al 2020a ; Zabir et al 2020 ).…”
Section: Introductionmentioning
confidence: 99%