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Is It Possible to Prevent Sars-Cov-2 Infection in a Non-Infectious Diseases Ward during the Pandemic on the Example of a Diabetes Clinic Institute of Rural Health, Lublin, Poland?

Author

Listed:
  • Piotr Dziemidok

    (Faculty of Human Sciences, University of Economics and Innovation, Projektowa Street 4, 20-209 Lublin, Poland)

  • Daria Gorczyca-Siudak

    (Diabetology Clinic and Department, Institute of Rural Health in Lublin, Jaczewskiego Street 2, 20-554 Lublin, Poland)

  • Marzena Danielak

    (Diabetology Clinic and Department, Institute of Rural Health in Lublin, Jaczewskiego Street 2, 20-554 Lublin, Poland)

Abstract

Diabetes is considered an epidemic of the 21st century. On 11 March 2020, two months after the outbreak of COVID-19 (coronavirus disease of 2019) epidemic in China, the World Health Organization announced COVID-19 to be a pandemic. From that time, many hospitals and wards have started to function as both infectious and non-infectious ones; so did the Diabetes Clinic Institute of Rural Health in South-Eastern Poland. Considering the global importance of diabetes and its prevalence worldwide, it seemed important to investigate how the Diabetes Clinic passed through the individual phases of the pandemic, and the possibility of protecting hospitalized patients against future pandemic infection. We present detailed characteristics of the situation in a ward which used to treat non-infectious patients with diabetes only and, nowadays, has been obliged to take into account the risk of spreading SARS-Cov-2 (severe acute respiratory syndrome coronavirus-2) infection also. Moreover, we suggest solutions to avoid cases of infectious diseases in non-infectious wards in the future.

Suggested Citation

  • Piotr Dziemidok & Daria Gorczyca-Siudak & Marzena Danielak, 2021. "Is It Possible to Prevent Sars-Cov-2 Infection in a Non-Infectious Diseases Ward during the Pandemic on the Example of a Diabetes Clinic Institute of Rural Health, Lublin, Poland?," IJERPH, MDPI, vol. 18(14), pages 1-15, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7593-:d:595742
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    References listed on IDEAS

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    1. Paolo Roma & Merylin Monaro & Laura Muzi & Marco Colasanti & Eleonora Ricci & Silvia Biondi & Christian Napoli & Stefano Ferracuti & Cristina Mazza, 2020. "How to Improve Compliance with Protective Health Measures during the COVID-19 Outbreak: Testing a Moderated Mediation Model and Machine Learning Algorithms," IJERPH, MDPI, vol. 17(19), pages 1-17, October.
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