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article · Journal of Geographical Studies

Distribution and Trend Analysis of COVID-19 in India: Geospatial Approach

2020103 citationsDebre Berhan University

In plain language

The emergence of COVID-19 in late 2019 rapidly escalated into a global pandemic, prompting international efforts to trace and manage transmission patterns. While most people with the infection experience mild to moderate respiratory symptoms and recover without medical intervention, older individuals and those with chronic medical conditions face higher risks of severe disease. In the initial phase of the outbreak in India, official records up to 11 April 2020 documented 7,364 confirmed cases, 633 recoveries, and 240 deaths. With specific treatments and antibiotics unavailable at the time, limiting transmission required public awareness and systematic monitoring. The research focuses on analysing the geographic distribution and evolving trends of infections across India using geographic information system software. Applying spatial analysis provides a structured approach to track active transmission ties and support outbreak containment.

Key takeaways

  • By 11 April 2020, India had reported 7,364 confirmed COVID-19 cases, 633 recoveries, and 240 deaths.
  • Older adults and people with underlying health conditions face a heightened risk of severe COVID-19 complications.
  • Geographic information system spatial analysis serves as a valuable tool for tracking disease distribution and monitoring transmission patterns.

Why it matters

Understanding how infectious diseases move through populations is vital during public health emergencies. Applying geographic mapping tools to disease reporting allows health authorities to visualise transmission patterns and identify regional clusters. This enables more informed public health decisions and targeted resource distribution to slow community spread when therapeutic treatments remain limited.

Commercialisation angle

The work highlights the utility of geographic information systems for disease surveillance and epidemic response. Potential users include public health departments, emergency management bodies, and developers of epidemiological monitoring software. Because the abstract details an analytical application using existing software rather than a novel software product or commercial platform, it represents early-stage applied research.

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Abstract

COVID-19 Coronavirus is now one of the most contagious diseases of the recently discovered and spread across the China in 2019 and has received global attention. In most COVID-19-infected individuals, respiratory symptoms should be mild to moderate and improve without the need for medical care. The risk of serious disease is higher for senior citizens and people with serious health problems, such as heart disease, diabetes, severe respiratory disease, and cancer. The World Health Organization (WHO) has formally declared the outbreak of COVID-19 to be a global pandemic. As on 11th April 2020 in India the largest number of persons testing positive for COVID-19 since the outbreak earlier month with samples of people, mostly contacts of already confirmed patients, rendering positive. In India total confirmed cases 7364, 633 are cured/discharged, with 240 deaths had been reported by the Ministry of Health and Family Welfare Government of India. The aim of the research is to analyze the spatial distribution of COVID-19 and its trends with the help of GIS software. At this time, there are no precise antibiotics or treatment options for COVID-19. Besides, several ongoing clinical studies are assessing effective treatments. The best way to protect and sluggish transmission should be well advised about the current COVID-19 virus, the disease it triggers and also how it continues to spread. Therefore, monitoring active ties using GIS spatial analysis is very important to control such as a COVID-19 virus spreading problem.

Research topics

  • COVID-19 epidemiological studies
  • COVID-19 Clinical Research Studies
  • SARS-CoV-2 and COVID-19 Research

Sustainable Development Goals

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DOI: 10.21523/gcj5.20040101

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