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10.1007/s40258-020-00596-3 http://scihub22266oqcxt.onion/10.1007/s40258-020-00596-3 32495067!7268966!32495067     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Appl+Health+Econ+Health+Policy 2020 ; 18 (4): 509-517 Nephropedia Template TP {{tp|p=32495067|t=2020. The Efficacy of Lockdown Against COVID-19: A Cross-Country Panel Analysis |pdf=|usr=}}{{32495067}} gab.com Text The Efficacy of Lockdown Against COVID-19: A Cross-Country Panel Analysis JO: Appl Health Econ Health Policy http://www.kidney.de/pget.php?&tw=1&pmid=32495067 #FOAvip BACKGROUND: There has been much debate about the effectiveness of lockdown measures in containing COVID-19, and their appropriateness given the economic and social cost they entail. To the best of our knowledge, no existing contribution to the literature has attempted to gauge the effectiveness of lockdown measures over time in a longitudinal cross-country perspective. OBJECTIVES: This paper aims to fill the gap in the literature by assessing, at an international level, the effect of lockdown measures (or the lack of such measures) on the numbers of new infections. Given this policy's expected change in effectiveness over time, we also measure the effect of having a lockdown implemented over a given number of days (from 7 to 20 days). METHODS: We pursue our objectives by means of a quantitative panel analysis, building a longitudinal dataset with observations from countries all over the world, and estimating the impact of lockdown via feasible generalized least squares fixed effect, random effects, generalized estimating equation, and hierarchical linear models. RESULTS: Our results show that lockdown is effective in reducing the number of new cases in the countries that implement it, compared with those countries that do not. This is especially true around 10 days after the implementation of the policy. Its efficacy continues to grow up to 20 days after implementation. CONCLUSION: Results suggest that lockdown is effective in reducing the R0, i.e. the number of people infected by each infected person, and that, unlike what has been suggested in previous analyses, its efficacy continues to hold 20 days after the introduction of the policy. Twit Text FOAVip The Efficacy of Lockdown Against COVID-19: A Cross-Country Panel Analysis ????Appl Health Econ Health Policy http://www.kidney.de/pget.php?&tw=1&pmid=32495067 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32495067 #FOAvip English Wikipedia <ref>{{Cite pmid|32495067}}</ref> The Efficacy of Lockdown Against COVID-19: A Cross-Country Panel Analysis #MMPMID32495067 Alfano V; Ercolano S Appl Health Econ Health Policy 2020[Aug]; 18 (4): 509-517 PMID32495067show ga BACKGROUND: There has been much debate about the effectiveness of lockdown measures in containing COVID-19, and their appropriateness given the economic and social cost they entail. To the best of our knowledge, no existing contribution to the literature has attempted to gauge the effectiveness of lockdown measures over time in a longitudinal cross-country perspective. OBJECTIVES: This paper aims to fill the gap in the literature by assessing, at an international level, the effect of lockdown measures (or the lack of such measures) on the numbers of new infections. Given this policy's expected change in effectiveness over time, we also measure the effect of having a lockdown implemented over a given number of days (from 7 to 20 days). METHODS: We pursue our objectives by means of a quantitative panel analysis, building a longitudinal dataset with observations from countries all over the world, and estimating the impact of lockdown via feasible generalized least squares fixed effect, random effects, generalized estimating equation, and hierarchical linear models. RESULTS: Our results show that lockdown is effective in reducing the number of new cases in the countries that implement it, compared with those countries that do not. This is especially true around 10 days after the implementation of the policy. Its efficacy continues to grow up to 20 days after implementation. CONCLUSION: Results suggest that lockdown is effective in reducing the R0, i.e. the number of people infected by each infected person, and that, unlike what has been suggested in previous analyses, its efficacy continues to hold 20 days after the introduction of the policy. |*Betacoronavirus[MESH] |COVID-19[MESH] |Communicable Disease Control[MESH] |Coronavirus Infections/epidemiology/*prevention & control[MESH] |Humans[MESH] |Longitudinal Studies[MESH] |Models, Statistical[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/epidemiology/*prevention & control[MESH] |SARS-CoV-2[MESH]The Efficacy of Lockdown Against COVID-19: A Cross-Country Panel Analy(epmc).pdf DeepDyve Pubget Overpricing