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<p>Corona Virus Disease of 2019 (COVID-19) was declared a pandemic in 2020 and diffused almost everywhere in the world including Antarctica. This study aims to use spatial analytic techniques to detect the COVID-19 pandemic in Lahore; the second most populated city of Pakistan. We examined the spatial spread of the disease, taking into account the population of the affected area, specialized medical resources, and known facts about COVID-19 behavior, such as how widely it spreads over time. This study was based on secondary data of confirmed cases, deaths, recoveries, admitted cases, home isolated cases, number of hospitals, Critical Care Resources—Beds, Isolation Wards, High Detective Units, and Ventilators during the peak days of COVID-19 since March 2020 to June 2020. The findings indicated that the populated towns have significantly more cases. We also analyzed that there is a substantial gap between the number of hospitals, beds, and ventilators that were anticipated and those that are currently available. The generated maps of affected areas and the availability of healthcare resources during the peak of COVID-19 could be immensely helpful for policymakers to examine the issue and concentrate on areas that require rapid healthcare. This research will aid policymakers in decision-making, disease management forecasting, preparedness ahead of time, and epidemic response on time to avoid human and economic loss.</p>

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The role of geoinformatics in combating Covid-19 and surging critical care capacity in Lahore

  • 期刊论文

  • 发表日期：

    2025年6月19日

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  • Saria Batool,
  • Faiza Sarwar,
  • Usman Mazhar,
  • Jamil H. Kazmi

摘要

Corona Virus Disease of 2019 (COVID-19) was declared a pandemic in 2020 and diffused almost everywhere in the world including Antarctica. This study aims to use spatial analytic techniques to detect the COVID-19 pandemic in Lahore; the second most populated city of Pakistan. We examined the spatial spread of the disease, taking into account the population of the affected area, specialized medical resources, and known facts about COVID-19 behavior, such as how widely it spreads over time. This study was based on secondary data of confirmed cases, deaths, recoveries, admitted cases, home isolated cases, number of hospitals, Critical Care Resources—Beds, Isolation Wards, High Detective Units, and Ventilators during the peak days of COVID-19 since March 2020 to June 2020. The findings indicated that the populated towns have significantly more cases. We also analyzed that there is a substantial gap between the number of hospitals, beds, and ventilators that were anticipated and those that are currently available. The generated maps of affected areas and the availability of healthcare resources during the peak of COVID-19 could be immensely helpful for policymakers to examine the issue and concentrate on areas that require rapid healthcare. This research will aid policymakers in decision-making, disease management forecasting, preparedness ahead of time, and epidemic response on time to avoid human and economic loss.