Are “cases”, “waves”, “tests” and “modeling” deceiving indicators to describe the COVID-19 pandemic?

  • Catello M Panu Napodano University of Sassari, Sassari, Italy
  • Luca Cegolon Occupational Medicine Unit, Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
  • Giuseppe Pichierri Microbiology Unit, Kingston Hospital NHS Foundation Trust, Kingston Upon Thames, United Kingdom
  • Saverio Bellizzi Medical Epidemiologist, Independent Consultant, Geneva, Switzerland
  • Giovanni Sotgiu University of Sassari, Sassari, Italy
  • Liliana Lorettu University of Sassari, Sassari, Italy
  • Gabriele Farina University of Sassari, Sassari, Italy
  • Osama Ali Maher Division of Water Resources Engineering, Lund University, Lund, Sweden
Keywords: COVID-19, surveillance, epidemiology

Abstract

This commentary elaborates on different methodological aspects complicating the interpretation of epidemiological data related to the current COVID-19 pandemic, thus preventing reliable within and across-country estimates. Firstly, an inaccuracy of epidemiological data maybe arguably be attributed to passive surveillance, a relatively long incubation period during which infected individuals can still shed high loads of virus into the surrounding environment and the very high proportion of cases not even developing signs and/or symptoms of COVID-19. The latter is also the major reason for the inappropriateness of the abused “wave” wording, which gives the idea that health system starts from scratch to respond between “peaks”. Clinical data for case-management on the other hand often requires complex technology in order to merge and clean data from health care facilities. Decision-making is often further derailed by the overuse of epidemiological modeling: precise aspects related to transmissibility, clinical course of COVID-19 and effectiveness of the public health and social measures are heavily influenced by unbeknownst and unpredictable human behaviors and modelers try to overcome missing epidemiological information by relying on poorly precise or questionable assumptions. Therefore the COVID-9 pandemic may provide a valuable opportunity to rethink how we are dealing with the very basic principles of epidemiology as well as risk communication issues related to such an unprecedented emergency situation.

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Published
2022-01-31
How to Cite
1.
Panu Napodano CM, Cegolon L, Pichierri G, Bellizzi S, Sotgiu G, Lorettu L, Farina G, Ali MaherO (2022) Are “cases”, “waves”, “tests” and “modeling” deceiving indicators to describe the COVID-19 pandemic?. J Infect Dev Ctries 16:1-4. doi: 10.3855/jidc.15456
Section
Coronavirus Pandemic

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