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10.2196/20335 http://scihub22266oqcxt.onion/10.2196/20335 33481755!7886484!33481755     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 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       JMIR+Public+Health+Surveill 2021 ; 7 (2): e20335 Nephropedia Template TP {{tp|p=33481755|t=2021. Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis |pdf=|usr=}}{{33481755}} gab.com Text Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis JO: JMIR Public Health Surveill http://www.kidney.de/pget.php?&tw=1&pmid=33481755 #FOAvip BACKGROUND: In Japan, as a countermeasure against the COVID-19 outbreak, both the national and local governments issued voluntary restrictions against going out from residences at the end of March 2020 in preference to the lockdowns instituted in European and North American countries. The effect of such measures can be studied with mobility data, such as data which is generated by counting the number of requests made to Apple Maps for directions in select countries/regions, sub-regions, and cities. OBJECTIVE: We investigate the associations of mobility data provided by Apple Inc and an estimate an an effective reproduction number R(t). METHODS: We regressed R(t) on a polynomial function of daily Apple data, estimated using the whole period, and analyzed subperiods delimited by March 10, 2020. RESULTS: In the estimation results, R(t) was 1.72 when voluntary restrictions against going out ceased and mobility reverted to a normal level. However, the critical level of reducing R(t) to <1 was obtained at 89.3% of normal mobility. CONCLUSIONS: We demonstrated that Apple mobility data are useful for short-term prediction of R(t). The results indicate that the number of trips should decrease by 10% until herd immunity is achieved and that higher voluntary restrictions against going out might not be necessary for avoiding a re-emergence of the outbreak. Twit Text FOAVip Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis ????JMIR Public Health Surveill http://www.kidney.de/pget.php?&tw=1&pmid=33481755 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33481755 #FOAvip English Wikipedia <ref>{{Cite pmid|33481755}}</ref> Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis #MMPMID33481755 Kurita J; Sugishita Y; Sugawara T; Ohkusa Y JMIR Public Health Surveill 2021[Feb]; 7 (2): e20335 PMID33481755show ga BACKGROUND: In Japan, as a countermeasure against the COVID-19 outbreak, both the national and local governments issued voluntary restrictions against going out from residences at the end of March 2020 in preference to the lockdowns instituted in European and North American countries. The effect of such measures can be studied with mobility data, such as data which is generated by counting the number of requests made to Apple Maps for directions in select countries/regions, sub-regions, and cities. OBJECTIVE: We investigate the associations of mobility data provided by Apple Inc and an estimate an an effective reproduction number R(t). METHODS: We regressed R(t) on a polynomial function of daily Apple data, estimated using the whole period, and analyzed subperiods delimited by March 10, 2020. RESULTS: In the estimation results, R(t) was 1.72 when voluntary restrictions against going out ceased and mobility reverted to a normal level. However, the critical level of reducing R(t) to <1 was obtained at 89.3% of normal mobility. CONCLUSIONS: We demonstrated that Apple mobility data are useful for short-term prediction of R(t). The results indicate that the number of trips should decrease by 10% until herd immunity is achieved and that higher voluntary restrictions against going out might not be necessary for avoiding a re-emergence of the outbreak. |*Basic Reproduction Number[MESH] |*Cell Phone[MESH] |*Disease Outbreaks[MESH] |COVID-19/*epidemiology[MESH] |Data Interpretation, Statistical[MESH] |Humans[MESH] |Japan/epidemiology[MESH] |Public Health Surveillance/*methods[MESH]Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbr(epmc).pdf DeepDyve Pubget Overpricing