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10.1016/j.jval.2020.06.002 http://scihub22266oqcxt.onion/10.1016/j.jval.2020.06.002 33127009!7384788!33127009     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 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       Value+Health 2020 ; 23 (11): 1405-1408 Nephropedia Template TP {{tp|p=33127009|t=2020. Measuring "Fearonomic Effects" in Valuing Therapies: An Application to COVID-19 in China |pdf=|usr=}}{{33127009}} gab.com Text Measuring "Fearonomic Effects" in Valuing Therapies: An Application to COVID-19 in China JO: Value Health http://www.kidney.de/pget.php?&tw=1&pmid=33127009 #FOAvip OBJECTIVES: To develop a checklist that helps quantify the economic impact associated with fear of contagion and to illustrate how one might use the checklist by presenting a case study featuring China during the coronavirus disease 2019 (COVID-19) outbreak. METHODS: Based on "fearonomic effects," a qualitative framework that conceptualizes the direct and indirect economic effects caused by the fear of contagion, we created a checklist to facilitate empirical estimation. As a case study, we first identified relevant sectors affected by China's lockdown policies implemented just before the Lunar New Year (LNY) week. To quantify the immediate impact, we then estimated the projected spending levels in 2020 in the absence of COVID-19 and compared these projections with actual spending during the LNY week. Data sources used include Chinese and global websites. To characterize uncertainty, we reported upper and lower bound estimates and calculated midpoints for each range. RESULTS: The COVID-19 epidemic is estimated to cost China's economy $283 billion ($196-369 billion), that is, yen2.0 trillion renminbi ( yen1.4- yen2.6 trillion), during the LNY week. Reduced restaurant and movie theater business ($106 [$103-$109] billion, 37.5% [36.4%-38.5%]) and reduced public transportation utilization ($96 [$13-$179] billion dollars, 33.9% [4.6%-63.3%]) explain most of this loss, followed by travel restrictions and the resulting loss of hotel business and tourism ($80.36 billion, 28.4%). CONCLUSION: Our checklist can help quantify the immediate and near-term impact of COVID-19 on a country's economy. It can also help researchers and policy makers consider the broader economic and social consequences when valuing future vaccines and treatments. Twit Text FOAVip Measuring "Fearonomic Effects" in Valuing Therapies: An Application to COVID-19 in China ????Value Health http://www.kidney.de/pget.php?&tw=1&pmid=33127009 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33127009 #FOAvip English Wikipedia <ref>{{Cite pmid|33127009}}</ref> Measuring "Fearonomic Effects" in Valuing Therapies: An Application to COVID-19 in China #MMPMID33127009 Ma S; Kim DD; Cohen JT; Neumann PJ Value Health 2020[Nov]; 23 (11): 1405-1408 PMID33127009show ga OBJECTIVES: To develop a checklist that helps quantify the economic impact associated with fear of contagion and to illustrate how one might use the checklist by presenting a case study featuring China during the coronavirus disease 2019 (COVID-19) outbreak. METHODS: Based on "fearonomic effects," a qualitative framework that conceptualizes the direct and indirect economic effects caused by the fear of contagion, we created a checklist to facilitate empirical estimation. As a case study, we first identified relevant sectors affected by China's lockdown policies implemented just before the Lunar New Year (LNY) week. To quantify the immediate impact, we then estimated the projected spending levels in 2020 in the absence of COVID-19 and compared these projections with actual spending during the LNY week. Data sources used include Chinese and global websites. To characterize uncertainty, we reported upper and lower bound estimates and calculated midpoints for each range. RESULTS: The COVID-19 epidemic is estimated to cost China's economy $283 billion ($196-369 billion), that is, yen2.0 trillion renminbi ( yen1.4- yen2.6 trillion), during the LNY week. Reduced restaurant and movie theater business ($106 [$103-$109] billion, 37.5% [36.4%-38.5%]) and reduced public transportation utilization ($96 [$13-$179] billion dollars, 33.9% [4.6%-63.3%]) explain most of this loss, followed by travel restrictions and the resulting loss of hotel business and tourism ($80.36 billion, 28.4%). CONCLUSION: Our checklist can help quantify the immediate and near-term impact of COVID-19 on a country's economy. It can also help researchers and policy makers consider the broader economic and social consequences when valuing future vaccines and treatments. |*Fear[MESH] |*Models, Economic[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Checklist[MESH] |China[MESH] |Coronavirus Infections/*economics[MESH] |Databases, Factual[MESH] |Health Policy[MESH] |Humans[MESH] |Pandemics/*economics[MESH] |Pneumonia, Viral/*economics[MESH]Measuring "Fearonomic Effects" in Valuing Therapies: An Application to(epmc).pdf DeepDyve Pubget Overpricing