Journal of Translational Science and Research Category: Medical Type: Editorial

Lessons from COVID-19 Epidemic?

Rocchi E1, Peluso S1, Sisti D1, Rocchi M1* and Carletti M2
1 Department of Biomolecular Sciences, University of Urbino, Italy
2 Department of Pure and Applied Sciences, University of Urbino, Italy

*Corresponding Author(s):
Rocchi M
Department Of Biomolecular Sciences, University Of Urbino, Italy
Tel:+39 0722303304,

Received Date: Apr 13, 2020
Accepted Date: Apr 25, 2020
Published Date: May 01, 2020


Although the current COVID-19 epidemic crisis is far from a resolution, the time has come to highlight some epidemiological and public health issues. 

In particular, some remarks can be made on the quality of the data and their dissemination. In this commentary, we will try to provide some points of the reflection, based mainly on the Italian experience, and, in particular, in the Marche region (the main epidemic outbreak in central Italy). 

  1. The positive counting, at least in some Italian regions, is done on the basis of swabs, and not of people. It has sometimes happened that five swabs have been made to the same person in the course of the disease; if, for example, three of them were positive and two negative, the data reported by the region was three positive cases.
  2. There is a huge number of false negative swabs, highlighted by a clinical profile of the patient certainly referable to COVID-19 (therefore hospitalized in dedicated facilities) and only later positive results. Moreover, infected are counted on the date of their first positive swab. There are documented cases of positivity only to the third swab (i.e. after two negative swabs) in patients who experienced symptoms for more than 15 days and who were counted as new infected on day 16 after the onset of the disease. Therefore, infected subjects are counted in statistical reports from their first positive swab, regardless of previous display of symptoms.
  3. At least in certain phases of the epidemic, the number of the healed patients was calculated referring exclusively to the patients discharged from the hospital.
  4. At least in Italy, the official data presented daily as "new positive cases" have often been mistaken for the balance between the positive cases, the healed ones and the deceased ones; they must therefore be correctly interpreted as the addition to the subpopulation of the infected, net of those who died or recovered.
  5. There is a big problem of data discontinuity from the temporal point of view. We observed cases in which the two-day data were all counted together on the second day (e.g. in Piemonte Region, Italy) [1]. We recall in particular the case of the Chinese statistical reports, which declared 14108 new cases on February 12, because of the change in the criteria employed to declare the positivity of subjects [2]. There is also the problem of data corrections: in the Finland cases history, one day the reported deaths were -1, since one case of death, which was previously attributed to Covid-19, resulted negative to a post-mortem check. Rather than correcting the data of the previous day, they prefer to later assume a negative value of the deceased patients.
  6. Another problem is related to the difficulty of estimating asymptomatic and paucisymptomatic subjects. This problem is amplified by different health policies, even within the same country. In Italy, for instance, in two of the main epidemic outbreaks, there was a totally different use of swabs: in some municipalities of Veneto region there was a swab-based screening of the entire population; in Marche region, instead, the employment of the swabs was limited, at least for the first period, exclusively to those who simultaneously presented two symptoms (cough and fever), and could at the same time report a past contact with a confirmed positive [3,4].
  7. Different countries are using different criteria for the causes of death. Some countries, such as Italy, have classified all positive patients’ deaths as "COVID-19 deaths". Other countries have classified “COVID-19 deaths" as exclusively those involving patients without other serious pathological conditions. This makes the Case Fatality Rate (CFR) and Mortality Rate (MR) recorded in the various countries difficult to compare [5].
  8. Another factor that strongly influences the comparability of epidemiological data is the lack of transparency by some governments (for instance, China, at least at the beginning of the epidemic, and Iran) [5].
  9. Finally, we underline the current underestimation of the possibility that immunity to SARS-CoV-2 is not permanent.

Therefore, this current experience also offers us the opportunity to learn something about managing an epidemic. 

  1. The epidemic has made clear the need to coordinate common guidelines, both nationally and internationally, and the need to agree upon the correct criteria to collect statistical data, establishing for this purpose a control task force, coordinated by the World Health Organization.
  2. The estimate of the number of positive subjects, for example using the “mark and recapture method”, is necessary. It might appear a waste of resources, but in the long run, it will prove to be a fundamental tool to control the epidemic.
  3. In choosing the serological tests, it will be necessary to take into account the cost (in both social and economic terms) of the false negative cases (risks to other people) and the false positive ones (risks to themselves).
  4. It is also important to systematically collect also symptoms, which, after being reported anecdotally, have become pathognomonic (e.g. ageusia, anosmia).
  5. Another key aspect is to systematically collect data on therapies, often experimented on the basis of personal intuitions (e.g. Tocilizumab, Hydroxichloroquine).
  6. The statistical analysis also has to take into account the social interaction models, different among countries, which necessarily influence the spread of the virus.
  7. Telemedicine tools should be implemented to remote monitor subjects with initial symptoms.
  8. Another tool that should be implemented is informatics, designed to monitor movements and contacts of subjects, regardless of their clinical and epidemiological condition.
  9. In estimating the Mortality Rate due to this pandemic, we will also have to deal with health care deficits for both routine and emergency pathologies. In particular, this phenomenon was pointed out during periods of intense outbreak.

This epidemic has offered to the entire community, in particular to politicians who govern in such difficult times, another great lesson (that we would be mad not to learn), that is the need to separate competences: Clinicians treat patients, virologists study the virus, pharmacologists offer therapies, epidemiologists study the progress of the epidemic, and so on. Any overlapping of competences and any intrusion into the competences of other professionals creates confusion.


Citation: Rocchi E, Peluso S, Sisti D, Rocchi M, Carletti M (2020) What Did We Learn (and what do we still learn) from the COVID-19 Epidemic? J Transl Sci Res 3: 009.

Copyright: © 2020  Rocchi E, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Herald Scholarly Open Access is a leading, internationally publishing house in the fields of Sciences. Our mission is to provide an access to knowledge globally.

© 2023, Copyrights Herald Scholarly Open Access. All Rights Reserved!