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10.3389/fpubh.2021.678934 http://scihub22266oqcxt.onion/10.3389/fpubh.2021.678934 34095076!8175901!34095076     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Public+Health 2021 ; 9 (ä): 678934 Nephropedia Template TP {{tp|p=34095076|t=2021. Work Resumption Rate and Migrant Workers Income During the COVID-19 Pandemic |pdf=|usr=}}{{34095076}} gab.com Text Work Resumption Rate and Migrant Workers Income During the COVID-19 Pandemic JO: Front Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34095076 #FOAvip The COVID-19 public health crisis has quickly led to an economic crisis, impacting many people and businesses in the world. This study examines how the pandemic affects workforces and workers' income. We quantify the impact of staggered resumption of work, after the coronavirus lockdowns, on the migrant workers' income. Using data on population movements of 366 Chinese cities at the daily level from the Baidu Maps-Migration Big Data Platform and historical data on the average monthly income of migrant workers, we find that the average work resumption rate (WRR) during the period of the Chinese Lantern Festival was 25.25%, which was only 30.67% of that in the same matched lunar calendar period in 2019. We then apply Gray Model First Order One Variable [GM (1, 1)] to predict the monthly income of migrant workers during the period of the COVID-19 pandemic. We show that, if without the influence of the COVID-19 pandemic, the average monthly income of migrant workers in 2020 will be expected to increase by 12% compared with 2019. We further conduct scenario analysis and show that the average monthly income of migrant workers in 2020 under the conservative scenario (COS), medium scenario (MES), and worse scenario (WOS) will be predicted to decrease by 2, 21, and 44%, respectively. Through testing, our prediction error is <5%. Our findings will help policymakers to decide when and how they implement a plan to ease the coronavirus lockdown and related financial support policies. Twit Text FOAVip Work Resumption Rate and Migrant Workers Income During the COVID-19 Pandemic ????Front Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34095076 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34095076 #FOAvip English Wikipedia <ref>{{Cite pmid|34095076}}</ref> Work Resumption Rate and Migrant Workers Income During the COVID-19 Pandemic #MMPMID34095076 Li J; Chu B; Chai N; Wu B; Shi B; Ou F Front Public Health 2021[]; 9 (ä): 678934 PMID34095076show ga The COVID-19 public health crisis has quickly led to an economic crisis, impacting many people and businesses in the world. This study examines how the pandemic affects workforces and workers' income. We quantify the impact of staggered resumption of work, after the coronavirus lockdowns, on the migrant workers' income. Using data on population movements of 366 Chinese cities at the daily level from the Baidu Maps-Migration Big Data Platform and historical data on the average monthly income of migrant workers, we find that the average work resumption rate (WRR) during the period of the Chinese Lantern Festival was 25.25%, which was only 30.67% of that in the same matched lunar calendar period in 2019. We then apply Gray Model First Order One Variable [GM (1, 1)] to predict the monthly income of migrant workers during the period of the COVID-19 pandemic. We show that, if without the influence of the COVID-19 pandemic, the average monthly income of migrant workers in 2020 will be expected to increase by 12% compared with 2019. We further conduct scenario analysis and show that the average monthly income of migrant workers in 2020 under the conservative scenario (COS), medium scenario (MES), and worse scenario (WOS) will be predicted to decrease by 2, 21, and 44%, respectively. Through testing, our prediction error is <5%. Our findings will help policymakers to decide when and how they implement a plan to ease the coronavirus lockdown and related financial support policies. |*COVID-19[MESH] |*Transients and Migrants[MESH] |Cities[MESH] |Communicable Disease Control[MESH] |Humans[MESH] |Pandemics[MESH]Work Resumption Rate and Migrant Workers Income During the COVID-19 P(epmc).pdf DeepDyve Pubget Overpricing