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10.3389/fpubh.2020.00153 http://scihub22266oqcxt.onion/10.3389/fpubh.2020.00153 32391308!7193021!32391308     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32391308&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Public+Health 2020 ; 8 (ä): 153 Nephropedia Template TP {{tp|p=32391308|t=2020. COVID-19 Trend Estimation in the Elderly Italian Region of Sardinia |pdf=|usr=}}{{32391308}} gab.com Text COVID-19 Trend Estimation in the Elderly Italian Region of Sardinia JO: Front Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32391308 #FOAvip 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. Twit Text FOAVip COVID-19 Trend Estimation in the Elderly Italian Region of Sardinia ????Front Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32391308 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32391308 #FOAvip English Wikipedia <ref>{{Cite pmid|32391308}}</ref> COVID-19 Trend Estimation in the Elderly Italian Region of Sardinia #MMPMID32391308 Puci MV; Loi F; Ferraro OE; Cappai S; Rolesu S; Montomoli C Front Public Health 2020[]; 8 (ä): 153 PMID32391308show ga 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. |*Models, Statistical[MESH] |Adult[MESH] |COVID-19/*epidemiology[MESH] |Hospital Bed Capacity/*statistics & numerical data[MESH] |Humans[MESH] |Intensive Care Units/economics/statistics & numerical data/*trends[MESH] |Italy/epidemiology[MESH] |Middle Aged[MESH] |Personal Protective Equipment/economics[MESH]COVID-19 Trend Estimation in the Elderly Italian Region of Sardinia (epmc).pdf DeepDyve Pubget Overpricing