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10.1371/journal.pone.0240785 http://scihub22266oqcxt.onion/10.1371/journal.pone.0240785 33057375!7561164!33057375     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33057375&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       PLoS+One 2020 ; 15 (10): e0240785 Nephropedia Template TP {{tp|p=33057375|t=2020. Who is wearing a mask? Gender-, age-, and location-related differences during the COVID-19 pandemic |pdf=|usr=}}{{33057375}} gab.com Text Who is wearing a mask Gender-, age-, and location-related differences during the COVID-19 pandemic JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33057375 #FOAvip Masks are an effective tool in combatting the spread of COVID-19, but some people still resist wearing them and mask-wearing behavior has not been experimentally studied in the United States. To understand the demographics of mask wearers and resistors, and the impact of mandates on mask-wearing behavior, we observed shoppers (n = 9935) entering retail stores during periods of June, July, and August 2020. Approximately 41% of the June sample wore a mask. At that time, the odds of an individual wearing a mask increased significantly with age and was also 1.5x greater for females than males. Additionally, the odds of observing a mask on an urban or suburban shopper were ~4x that for rural areas. Mask mandates enacted in late July and August increased mask-wearing compliance to over 90% in all groups, but a small percentage of resistors remained. Thus, gender, age, and location factor into whether shoppers in the United States wear a mask or face covering voluntarily. Additionally, mask mandates are necessary to increase mask wearing among the public to a level required to mitigate the spread of COVID-19. Twit Text FOAVip Who is wearing a mask Gender-, age-, and location-related differences during the COVID-19 pandemic ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33057375 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33057375 #FOAvip English Wikipedia <ref>{{Cite pmid|33057375}}</ref> Who is wearing a mask? Gender-, age-, and location-related differences during the COVID-19 pandemic #MMPMID33057375 Haischer MH; Beilfuss R; Hart MR; Opielinski L; Wrucke D; Zirgaitis G; Uhrich TD; Hunter SK PLoS One 2020[]; 15 (10): e0240785 PMID33057375show ga Masks are an effective tool in combatting the spread of COVID-19, but some people still resist wearing them and mask-wearing behavior has not been experimentally studied in the United States. To understand the demographics of mask wearers and resistors, and the impact of mandates on mask-wearing behavior, we observed shoppers (n = 9935) entering retail stores during periods of June, July, and August 2020. Approximately 41% of the June sample wore a mask. At that time, the odds of an individual wearing a mask increased significantly with age and was also 1.5x greater for females than males. Additionally, the odds of observing a mask on an urban or suburban shopper were ~4x that for rural areas. Mask mandates enacted in late July and August increased mask-wearing compliance to over 90% in all groups, but a small percentage of resistors remained. Thus, gender, age, and location factor into whether shoppers in the United States wear a mask or face covering voluntarily. Additionally, mask mandates are necessary to increase mask wearing among the public to a level required to mitigate the spread of COVID-19. |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |Equipment and Supplies Utilization/*statistics & numerical data[MESH] |Female[MESH] |Health Knowledge, Attitudes, Practice[MESH] |Humans[MESH] |Male[MESH] |Masks/*statistics & numerical data[MESH] |Middle Aged[MESH] |Personal Protective Equipment/*statistics & numerical data[MESH] |Rural Population/statistics & numerical data[MESH] |Sex Factors[MESH] |Urban Population/statistics & numerical data[MESH]Who is wearing a mask? Gender-, age-, and location-related differences(epmc).pdf DeepDyve Pubget Overpricing