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10.3389/fpubh.2020.00222 http://scihub22266oqcxt.onion/10.3389/fpubh.2020.00222 32574301!7256452!32574301     free     free     free 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 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): 222 Nephropedia Template TP {{tp|p=32574301|t=2020. Approaches to Daily Monitoring of the SARS-CoV-2 Outbreak in Northern Italy |pdf=|usr=}}{{32574301}} gab.com Text Approaches to Daily Monitoring of the SARS-CoV-2 Outbreak in Northern Italy JO: Front Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32574301 #FOAvip Italy was the first European country affected by the Sars-Cov-2 pandemic, with the first autochthonous case identified on Feb 21st. Specific control measures restricting social contacts were introduced by the Italian government starting from the beginning of March. In the current study we analyzed public data from the four most affected Italian regions. We (i) estimated the time-varying reproduction number (R(t) ), the average number of secondary cases that each infected individual would infect at time t, to monitor the positive impact of restriction measures; (ii) applied the generalized logistic and the modified Richards models to describe the epidemic pattern and obtain short-term forecasts. We observed a monotonic decrease of R(t) over time in all regions, and the peak of incident cases ~2 weeks after the implementation of the first strict containment measures. Our results show that phenomenological approaches may be useful to monitor the epidemic growth in its initial phases and suggest that costly and disruptive public health controls might have had a positive impact in limiting the Sars-Cov-2 spread in Northern Italy. Twit Text FOAVip Approaches to Daily Monitoring of the SARS-CoV-2 Outbreak in Northern Italy ????Front Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32574301 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32574301 #FOAvip English Wikipedia <ref>{{Cite pmid|32574301}}</ref> Approaches to Daily Monitoring of the SARS-CoV-2 Outbreak in Northern Italy #MMPMID32574301 Moirano G; Richiardi L; Novara C; Maule M Front Public Health 2020[]; 8 (ä): 222 PMID32574301show ga Italy was the first European country affected by the Sars-Cov-2 pandemic, with the first autochthonous case identified on Feb 21st. Specific control measures restricting social contacts were introduced by the Italian government starting from the beginning of March. In the current study we analyzed public data from the four most affected Italian regions. We (i) estimated the time-varying reproduction number (R(t) ), the average number of secondary cases that each infected individual would infect at time t, to monitor the positive impact of restriction measures; (ii) applied the generalized logistic and the modified Richards models to describe the epidemic pattern and obtain short-term forecasts. We observed a monotonic decrease of R(t) over time in all regions, and the peak of incident cases ~2 weeks after the implementation of the first strict containment measures. Our results show that phenomenological approaches may be useful to monitor the epidemic growth in its initial phases and suggest that costly and disruptive public health controls might have had a positive impact in limiting the Sars-Cov-2 spread in Northern Italy. |*COVID-19/epidemiology/transmission[MESH] |*Public Health[MESH] |*SARS-CoV-2[MESH] |Disease Outbreaks/*statistics & numerical data[MESH] |Government[MESH] |Humans[MESH] |Italy/epidemiology[MESH]Approaches to Daily Monitoring of the SARS-CoV-2 Outbreak in Northern (epmc).pdf DeepDyve Pubget Overpricing