Matrix Science Medica (MSM)

Monitoring and Epidemiological Trends of Coronavirus Disease (COVID-19) around the World

February 26, 2026 Posted by Basem In Uncategorized

ABSTRACT

Monitoring and Epidemiological Trends of Coronavirus Disease (COVID-19) around the World

Matrix Science Medica (MSM)
Author:  Arnab Saha, Komal Gupta, Manti Patil, Urvash

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

DOI: 10.4103/MTSM.MTSM_16_20

Coronavirus disease 2019 (COVID‑19) has struck fear into populaces all through the world and shocked the worldwide restorative community, with the World Health Organization pronouncing it a widespread as it were approximately 3 months after the flare‑up of the infection. A new different virus(primarily called “novel coronavirus 2019 [nCoV]”) causing severe acute respiratory syndrome (COVID‑19) emerged in Wuhan, Hubei Province, China, in December 2019 and rapidly spread to other parts of China and other countries around the world. The outbreak of the nCoV disease (COVID‑19) has caused more than 850,000 people infected and approx. 40,000 of deaths in more than 190 countries up to March 2020, extremely affecting economic and social development. Presently, the number of infections and deaths is still increasing rapidly. COVID‑19 seriously threatens human health, production, life, social functioning, and international relations. In the fight against COVID‑19, geographic information systems(GIS) and big data technologies have played an important role in many aspects. This article describes the usage of practical GIS and mapping dashboards and applications for monitoring the coronavirus epidemic and related activities as they spread around the world. At the fact level, in the generation of massive data, information no longer come on the whole from the authorities but are gathered from greater diverse enterprises. As of now and for a long time in future, the improvement of GIS should be fortified to create a data‑driven framework for fast information securing, which implies that GIS ought to be utilized to fortify the social operation parameterization of models and methods, particularly when giving back for social administration.

Pages 121-126
Year 2020
Issue 4
Volume 4

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