Covid-19 Trend Estimation in the Elderly Italian Region of Sardinia
Bibliographic Data
| ID | 22088507 |
|---|---|
| Authors | Mariangela Valentina Puci (0000-0001-5656-6845, University of Pavia), Federica Loi (0000-0003-3045-3150, Istituto Zooprofilattico Sperimentale della Sardegna, corresponding author), Ottavia Eleonora Ferraro (0000-0002-4398-4885, University of Pavia), Stefano Cappai (0000-0003-1481-1747, Istituto Zooprofilattico Sperimentale della Sardegna), Sandro Rolesu (0000-0002-6429-5069, Istituto Zooprofilattico Sperimentale della Sardegna), Cristina Montomoli (0000-0002-8526-5846, University of Pavia) |
| Year | 2020 |
| Volume | 8 |
| Pages | 153-153 |
| Publication date | 2020-04-24 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2020.00153 |
| PMID | 32391308 |
| OpenAlex | W3018897712 |
| Language | EN |
| Citations received | 4 |
| References cited | 23 |
December 2019 saw a novel coronavirus (COVID-19) from China quickly spread globally. Currently, COVID-19, defined as the new pandemic by the World Health Organization (WHO), has reached over 750,000 confirmed cases worldwide. The virus began to spread in Italy from the 22nd February, and the number of related cases is still increasing. Furthermore, given that a relevant proportion of infected people need hospitalization in Intensive Care Units, this may be a crucial issue for National Healthcare System's capacity. WHO underlines the importance of specific disease regional estimates. Because of this, Italy aimed to put in place proportioned and controlled measures, and to guarantee adequate funding to both increase the number of ICU beds and increase production of personal protective equipment. Our aim is to investigate the current COVID-19 epidemiological context in Sardinia region (Italy) and to estimate the transmission parameters using a stochastic model to establish the number of infected, recovered, and deceased people expected. Based on available data from official Italian and regional sources, we describe the distribution of infected cases during the period between 2nd and 15th March 2020. To better reflect the actual spread of COVID-19 in Sardinia based on data from 15th March (first Sardinian declared outbreak), two Susceptible-Infectious-Recovered-Dead (SIRD) models have been developed, describing the best and worst scenarios. We believe that our findings represent a valid contribution to better understand the epidemiological context of COVID-19 in Sardinia. Our analysis can help health authorities and policymakers to address the right interventions to deal with the rapidly expanding health emergency
Disease · Economic growth · Environmental health · Estimation · Geography · Health care · Outbreak · Pandemic · Computer Science · COVID-19 and healthcare impacts · COVID-19 Clinical Research Studies · COVID-19 epidemiological studies · Medicine · Epidemiology · Virology
The Global Macroeconomic Impacts of Covid-19
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (Sars-CoV-2)
Covid-19
The reproductive number of Covid-19 is higher compared to Sars coronavirus
A new coronavirus associated with human respiratory disease in China
World Health Organization declares global emergency
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China
Covid-19 and Italy
Real estimates of mortality following Covid-19 infection
Covid-19 and the consequences of isolating the elderly
The psychological impact of quarantine and how to reduce it
Clinical course and risk factors for mortality of adult inpatients with Covid-19 in Wuhan, China
Characteristics of and Important Lessons From the Coronavirus Disease 2019 (Covid-19) Outbreak in China
| Citations per year | 0.67 |
|---|---|
| Citation span | 2020 - 2021 (2) |
| Highly cited | No |