Covid-19: pandemic management in different parts of India

• Autorzy: Wilinski Antoni , Sharma Ravindra , Arti M.K.

Identyfikatory

DOI

10.29119/1641-3466.2023.169.42

• Języki publikacji: EN

Abstrakty

EN

Purpose: Managing a pandemic in individual countries is a concern not only of governments but also of WHO and the entire international community. The pandemic knows no bounds. In this context, India is a special country - with a huge population and a very large diversity of cultural, geographic, economic, poverty levels, and pandemic management methods. In this work, we try to assess the sum of the impact of these factors on the state of the epidemic by creating a ranking of Indian states from the least to the most endangered. Design/methodology/approach: As a method of creating such a ranking, we take into account two very, in our opinion, objective variables - the number of deaths and the number of vaccinations per million inhabitants of the region. In order not to make the usually controversial ascribing of weights to these factors, we relate them to the selected reference region - here to the capital city - Delhi. We apply a logical principle - the more vaccinations, the better and the more deaths - the worse. Findings: The results are rather surprising. Many small regions are safe regions, such as Andaman, Tripura or Sikkim, many large or wealthy states are at the end of this ranking, such as Delhi, Maharashtra, Uttar Pradesh, Bihar, and Tamil Nadu. What was found in the course of the work? This will refer to analysis, discussion, or results. Originality/value: The method enables an indirect assessment of the quality of pandemic management in a given region of the country. It can be used for any country or even a group of countries or a continent. According to this criterion, the best state/region is intuitively the safest for residents. A small number of deaths and a large number of vaccinations may positively indicate the state of public health and good management of the fight against the pandemic by local and/or central authorities.

Słowa kluczowe

EN

COVID-19; pandemic; computational intelligence; healthcare; pandemic management

PL

COVID-19; pandemia; inteligencja obliczeniowa; opieka zdrowotna; zarządzanie pandemią

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2023
• Tom: z. 169
• Strony: 707--723
• Opis fizyczny: Bibliogr. 48 poz.

Twórcy

autor

Wilinski Antoni

• WSB University in Gdansk, Gdansk Poland

• https://orcid.org/0000-0002-2817-9095

autor

Sharma Ravindra

• Netaji Subhas University of Technology, East Campus, New Delhi, India

• https://orcid.org/0000-0002-6351-6202

autor

Arti M.K.

• Netaji Subhas University of Technology, East Campus, New Delhi, India

• https://orcid.org/0000-00002-1574-5860

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).