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ORIGINAL ARTICLE
COVID-19 epidemic: Comparison of three European countries with different outcome using Gompertz function method
1
Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology -Hellas FORTH, Heraklion, Crete, Greece
2
Department of Nursing, Faculty of Health Sciences, Hellenic Mediterranean University, Heraklion, Crete, Greece
3
Dental Clinic, General Hospital of Agios Nikolaos, Crete, Greece
4
Department of Respiratory Medicine, University Hospital of Heraklion, Medical School, University of Crete, Heraklion, Crete, Greece
Pneumon 2020;33(2):1-6
KEYWORDS
ABSTRACT
Background:
COVID-19 has shocked the world and fully alerted scientific community against means to tackle the pandemic. The current work tries to assess the impact of COVID-19 in three European countries and evaluate the outcome using Gombertz function methods.
Methods:
Daily mortality data were collected and analyzed from European Centre for Disease Prevention and Control for Greece, France, and Italy.
Results:
The results show a good fit between the observed data and those obtained by the Gompertz function methods for the three countries. Using standardization methods for population incidence parameters for comparison, Greece, France, and Italy show substantial differences among disease dynamics regarding incidence and mortality rates as well as disease doubling times.
Conclusions:
The availability of daily epidemiological data about confirmed cases gives opportunities for research contributions through mathematical models, such as Gombertz, regarding comparison and analysis of COVID-19 dynamics and future trends among regions and countries.
COVID-19 has shocked the world and fully alerted scientific community against means to tackle the pandemic. The current work tries to assess the impact of COVID-19 in three European countries and evaluate the outcome using Gombertz function methods.
Methods:
Daily mortality data were collected and analyzed from European Centre for Disease Prevention and Control for Greece, France, and Italy.
Results:
The results show a good fit between the observed data and those obtained by the Gompertz function methods for the three countries. Using standardization methods for population incidence parameters for comparison, Greece, France, and Italy show substantial differences among disease dynamics regarding incidence and mortality rates as well as disease doubling times.
Conclusions:
The availability of daily epidemiological data about confirmed cases gives opportunities for research contributions through mathematical models, such as Gombertz, regarding comparison and analysis of COVID-19 dynamics and future trends among regions and countries.
CONFLICTS OF INTEREST
None
FUNDING
This work did not receive any funding or grant support.
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| eISSN: | 1791-4914 |
| ISSN: | 1105-848X |
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