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COVID-19 challenges to Pakistan: Is GIS analysis useful to draw solutions?
Sarwar, Suleman; Waheed, Rida; Sarwar, Sahar; Khan, Aisha.
  • Sarwar S; School of Economics, Shandong University, Jinan, China; Finance and Economics Department, College of Business, University of Jeddah, Saudi Arabia.
  • Waheed R; School of Economics, Shandong University, Jinan, China; Finance and Economics Department, College of Business, University of Jeddah, Saudi Arabia. Electronic address: Ridawaheed.sdu@gmail.com.
  • Sarwar S; Department of Economics, Government College University, Faisalabad, Pakistan.
  • Khan A; Departments of City and Regional Planning, University of Engineering and Technology, Lahore, Pakistan.
Sci Total Environ ; 730: 139089, 2020 Aug 15.
Article in English | MEDLINE | ID: covidwho-154664
ABSTRACT
The outbreak of novel coronavirus (COVID-19) is a public health emergency that had caused disastrous results in more than 100 countries. The ability to detect disease outbreaks in the early stages is a key component of efficient disease control and prevention. With the increased availability of electronic health-care data and spatial analysis techniques, there is great potential to develop algorithms to enable more effective disease surveillance. The research focuses to develop a transparent user-friendly method to simulate the outbreak data. The paper describes the GIS tools to identify and define the field of investigation which requires consideration of the strengths and limitations of data collection instruments, facility of locational data collection, accuracy of locational data, and pertinent attributes for understanding disease risk. Using such information, it is quite easy for authorities to locate the highly effected area and take appropriate actions in that particular areas. However, GIS techniques, resources, and methods can be used in Pakistan for more effective investigation of vulnerable geographical locations.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Geographic Information Systems / Pandemics / Betacoronavirus Type of study: Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Total Environ Year: 2020 Document Type: Article Affiliation country: J.scitotenv.2020.139089

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Geographic Information Systems / Pandemics / Betacoronavirus Type of study: Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Total Environ Year: 2020 Document Type: Article Affiliation country: J.scitotenv.2020.139089