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      Public Attitudes, Behaviors, and Beliefs Related to COVID-19, Stay-at-Home Orders, Nonessential Business Closures, and Public Health Guidance — United States, New York City, and Los Angeles, May 5–12, 2020

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          SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is thought to be transmitted mainly by person-to-person contact ( 1 ). Implementation of nationwide public health orders to limit person-to-person interaction and of guidance on personal protective practices can slow transmission ( 2 , 3 ). Such strategies can include stay-at-home orders, business closures, prohibitions against mass gatherings, use of cloth face coverings, and maintenance of a physical distance between persons ( 2 , 3 ). To assess and understand public attitudes, behaviors, and beliefs related to this guidance and COVID-19, representative panel surveys were conducted among adults aged ≥18 years in New York City (NYC) and Los Angeles, and broadly across the United States during May 5–12, 2020. Most respondents in the three cohorts supported stay-at-home orders and nonessential business closures* (United States, 79.5%; New York City, 86.7%; and Los Angeles, 81.5%), reported always or often wearing cloth face coverings in public areas (United States, 74.1%, New York City, 89.6%; and Los Angeles 89.8%), and believed that their state’s restrictions were the right balance or not restrictive enough (United States, 84.3%; New York City, 89.7%; and Los Angeles, 79.7%). Periodic assessments of public attitudes, behaviors, and beliefs can guide evidence-based public health decision-making and related prevention messaging about mitigation strategies needed as the COVID-19 pandemic evolves. During May 5–12, 2020, a total of 4,042 adults aged ≥18 years in the United States were invited to complete a web-based survey administered by Qualtrics, LLC. † Surveys were conducted among residents of NYC and Los Angeles to enable comparison of the two most populous cities in the United States with each other and with the nationwide cohort ( 4 ). The nationwide survey did not exclude respondents from NYC and Los Angeles, but no respondent was counted in more than one cohort. Invited participants were recruited using methods to create panels representative of the 2010 U.S. Census by age, gender, race, and ethnicity ( 5 ). Overall, 2,402 respondents completed surveys (response rate = 59.4%); of these, 2,221 (92.5%) (United States cohort = 1,676, NYC cohort = 286, and Los Angeles cohort = 259) passed quality screening procedures § ( 5 ); sample sizes provided a margin of error at 95% confidence levels of 2.4%, 5.7%, and 5.9%, respectively. Questions about the effects of the COVID-19 pandemic focused on public attitudes, behaviors, and beliefs regarding stay-at-home orders, nonessential business closures, and public health guidance. Chi-squared statistics (threshold of α = 0.05) were calculated to examine differences between the survey cohorts and to examine potential associations between reported characteristics (gender, age, race, ethnicity, employment status, essential worker status, rural-urban residence, knowing someone with COVID-19, and knowing someone who had died from COVID-19). Jupyter Notebook (version 6.0.0; Project Jupyter) was used to conduct statistical analyses. Among respondents in the U.S. cohort (1,676), 16.8% knew someone who had positive test results for COVID-19, compared with 42.0% of respondents in NYC and 10.8% in Los Angeles (Table 1); 5.9% of respondents in the U.S. survey cohort knew someone who had died from COVID-19, compared with 23.1% in NYC and 7.3% in Los Angeles. TABLE 1 Self-reported characteristics of invited participants and survey respondents — United States, New York City, and Los Angeles,* May 5–12, 2020 Characteristic %† United States New York City Los Angeles Invited Responded Invited Responded Invited Responded (N = 3,010) (N = 1,676) (N = 507) (N = 286) (N = 525) (N = 259) Gender Female 55.9 56.1 52.9 55.2 52.4 52.9 Male 44.0 43.9 47.1 44.8 47.6 47.1 Other 0.1 0.0 0.0 0.0 0.0 0.0 Age group (yrs) 18–24 11.4 3.9 11.2 4.2 11.0 5.8 25–34 14.8 8.5 18.5 11.5 18.1 10.4 35–44 17.6 15.0 15.6 14.0 17.5 12.4 45–54 17.6 19.0 15.0 13.6 16.4 18.5 55–64 18.0 23.4 19.3 26.9 17.1 22.0 ≥65 20.6 30.2 20.3 29.7 19.8 30.9 Race White 78.4 84.7 72.6 82.5 74.3 80.7 Black or African American 9.2 5.0 11.2 4.5 9.1 4.6 Asian 5.7 6.2 6.1 7.3 5.7 7.3 Multiple Race/other § 6.7 4.2 10.1 5.6 10.9 7.3 Ethnicity Hispanic or Latino 8.8 5.9 13.6 8.0 17.1 10.8 Not Hispanic or Latino 91.2 94.1 86.4 92.0 82.9 89.2 Rural-urban residence classification¶ Rural 15.3 15.5 0.8 1.4 0.8 0.4 Urban 84.7 84.5 99.2 98.6 99.2 99.6 Employment status** Employed †† 62.9 49.6 71.2 58.7 68.6 52.5    Essential — 23.4 — 16.1 — 23.2    Nonessential — 26.2 — 42.7 — 29.3 Retired 24.4 34.9 19.9 29.4 21.0 32.8 Unemployed 12.8 15.5 8.9 11.9 10.5 14.7 Know someone with positive test results for COVID-19 — 16.8 — 42.0 — 10.8 Know someone who died from COVID-19 — 5.9 — 23.1 — 7.3 Abbreviation: COVID-19 = coronavirus disease 2019. * The U.S. survey group did not exclude respondents from New York City and Los Angeles. † Totals might not all sum to 100 because of rounding. § The multiple race/other category includes respondents who self-reported as a race with <2.5% of respondents in any cohort (e.g., American Indian or Alaska Native, Native Hawaiian or Pacific Islander, or more than one race). ¶ Rural-Urban classification was determined according to the Federal Office of Rural Health Policy definition of rurality. https://www.hrsa.gov/rural-health/about-us/definition/datafiles.html. ** Employment status as of December 2019. †† Essential versus nonessential status was not assessed in relation to employment status among invited participants. Totals for this category do not all sum to 100 because of rounding. Broad support for recommended COVID-19 mitigation strategies was found nationwide (Table 2). Overall, 79.5% of respondents in the U.S. cohort supported government-issued stay-at-home orders and nonessential business closures, whereas 86.7% in NYC and 81.5% in Los Angeles supported these measures. Further, 67.3% of respondents in the United States, 76.6% in NYC, and 69.1% in Los Angeles agreed that nonessential workers should stay home. The majority of respondents in NYC and Los Angeles and broadly across the United States agreed with public health guidelines, including recommendations for maintaining 6 feet of distance between persons (>87% in each area) and limiting gatherings to fewer than 10 persons (>82% in each area). At the time of the survey, most also agreed that dining inside restaurants should not be allowed, with agreement higher in NYC (81.5%) than in Los Angeles (71.8%) and in the United States overall (66.6%). TABLE 2 Attitudes, behaviors, and beliefs related to COVID-19, stay-at-home orders, nonessential business closures, and public health guidance — United States (U.S.),* New York City (NYC), and Los Angeles (LA), May 5–12, 2020 Attitudes, behaviors, and beliefs U.S. NYC LA p-value† p-value† p-value† (N = 1,676) (N = 286) (N = 259) U.S. versus NYC U.S. versus LA NYC versus LA Attitudes, no. of respondents (%) Support stay-at-home order and nonessential business closures Yes 1,332 (79.5) 248 (86.7) 211 (81.5) <0.05 § 0.5097 0.1187 No 344 (20.5) 38 (13.3) 48 (18.5) Nonessential workers should stay home Agree 1,128 (67.3) 219 (76.6) 179 (69.1) <0.05 § 0.6722 <0.05 § Neither agree nor disagree 283 (16.9) 41 (14.3) 38 (14.7) Disagree 265 (15.8) 26 (9.1) 42 (16.2) Persons should always keep ≥6-ft of physical distance Agree 1,470 (87.7) 262 (91.6) 234 (90.3) 0.1242 0.4707 0.6377 Neither agree nor disagree 127 (7.6) 17 (5.9) 15 (5.8) Disagree 79 (4.7) 7 (2.4) 10 (3.9) Groups of 10 or more persons should not be allowed Agree 1,381 (82.4) 247 (86.4) 226 (87.3) 0.1245 0.1374 0.8130 Neither agree nor disagree 156 (9.3) 25 (8.7) 19 (7.3) Disagree 139 (8.3) 14 (4.9) 14 (5.4) Dining inside restaurants should not be allowed Agree 1,117 (66.6) 233 (81.5) 186 (71.8) <0.05 § 0.1769 <0.05 § Neither agree nor disagree 244 (14.6) 28 (9.8) 36 (13.9) Disagree 315 (18.8) 25 (8.7) 37 (14.3) Behaviors, no. of respondents (%) In self-isolation ¶ Yes 1,296 (77.3) 242 (84.6) 215 (83.0) <0.05 § <0.05 § 0.6954 No 380 (22.7) 44 (15.4) 44 (17.0) Keep ≥6 ft apart from others Always 975 (58.2) 191 (66.8) 172 (66.4) 0.0653 0.1576 0.8331 Often 357 (21.3) 54 (18.9) 42 (16.2) Sometimes 138 (8.2) 16 (5.6) 17 (6.6) Rarely 69 (4.1) 10 (3.5) 10 (3.9) Never 137 (8.2) 15 (5.2) 18 (6.9) Avoid groups of 10 or more persons Always 1,259 (75.1) 222 (77.6) 196 (75.7) 0.7621 0.9568 0.8975 Often 181 (10.8) 32 (11.2) 29 (11.2) Sometimes 59 (3.5) 9 (3.1) 7 (2.7) Rarely 39 (2.3) 5 (1.7) 5 (1.9) Never 138 (8.2) 18 (6.3) 22 (8.5) Been to a public area in the previous week Yes 1,533 (91.5) 260 (90.9) 235 (90.7) 0.8436 0.7851 0.9381 No 143 (8.5) 26 (9.1) 24 (9.3) Wear cloth face covering when in public** Always 925 (60.3) 208 (80.0) 183 (77.9) <0.05† <0.05 § 0.7659 Often 212 (13.8) 25 (9.6) 28 (11.9) Sometimes 134 (8.7) 14 (5.4) 16 (6.8) Rarely 63 (4.1) 5 (1.9) 3 (1.3) Never 199 (13.0) 8 (3.1) 5 (2.1) Beliefs, no. of respondents (%) Believe community mitigation strategies are Not restrictive enough 302 (18.0) 49 (17.4) 42 (16.3) 0.0500 0.1699 <0.05 § The right balance 1,112 (66.3) 204 (72.3) 163 (63.4) Too restrictive 262 (15.6) 29 (10.3) 52 (20.2) Would feel safe if community mitigation strategies were lifted nationwide at the time of survey Yes 431 (25.7) 53 (18.5) 69 (26.6) <0.05 § 0.8102 0.0304 No 1,245 (74.3) 233 (81.5) 190 (73.4)   No, but would like restrictions lifted and accept risks 287 (17.1) 36 (12.6) 33 (12.7) Abbreviation: COVID-19 = coronavirus disease 2019. * The U.S. survey group did not exclude respondents from NYC and LA. † Calculated with Chi-squared test of independence. § P-value is statistically significant (p<0.05). ¶ For this survey, self-isolating means having no contact with others outside of the respondent’s household unless required for essential services. ** Of respondents who reported having been in a public area in the preceding week. Widespread adherence to recommended COVID-19 mitigation strategies was reported in all three cohorts. Overall, 77.3% of adults nationwide reported self-isolating, ¶ with 84.6% reporting this behavior in NYC and 83.0% in Los Angeles. Most respondents (79.5%) in the United States also reported the behavior of always or often keeping ≥6 feet apart from others, with higher percentages reporting this behavior in NYC (85.7%) and Los Angeles (82.6%). Always or often avoiding groups of 10 or more persons was reported by >85% of adults in the three cohorts. Approximately 90% of respondents reported having been in a public area during the preceding week; among those, 74.1% nationwide reported always or often wearing cloth face coverings when in public, with higher percentages reporting this behavior in NYC (89.6%) and Los Angeles (89.8%). Overall, 84.3% of adults in the U.S. survey cohort believed their state’s COVID-19 community mitigation strategies were the right balance or not restrictive enough, compared with 89.7% in NYC and 79.7% in Los Angeles. As well, 74.3% of respondents in the United States reported they would not feel safe if these restrictions were lifted nationwide at the time the survey was conducted, compared with 81.5% in NYC and 73.4% in Los Angeles. In addition, among those who reported that they would not feel safe, some indicated that they would nonetheless want community mitigation strategies lifted and would accept associated risks (17.1%, 12.6%, and 12.7%, respectively). Reported prevalence of self-isolation and feeling safe if community mitigation strategies were lifted differed significantly by age, employment status, and essential worker status among adults in the U.S. survey cohort (Table 3). The percentage of respondents who reported that they were in self-isolation was highest among persons aged 18–24 years (92.3%) and lowest among those aged 45–54 years (71.5%). The percentage who reported that they would feel safe if community mitigation strategies were lifted was approximately twice as high among persons aged 18–24 as it was among those aged ≥65 years (43.1% versus 19.2%). Respondents who reported that they were essential workers** accounted for 47.2% of employed respondents in the U.S. cohort and were significantly less likely than were nonessential workers to report self-isolating (63.1% versus 80.6%). Essential workers were also significantly more likely than were nonessential workers to report that they would feel safe if COVID-19 community mitigation strategies were lifted (37.7% versus 23.7%). TABLE 3 Attitudes, behaviors, and beliefs related to COVID-19, stay-at-home orders, nonessential business closures, and public health guidance, by respondent characteristics* — United States, May 5–12, 2020 By gender, age group, and ethnicity, % Attitudes, behaviors and, beliefs Gender Age group (yrs) Ethnicity Male Female 18–24 25–34 35–44 45–54 55–64 ≥65 Hispanic Non- Hispanic Attitudes Support stay-at-home orders and nonessential business closures Yes 76.3 81.9 84.6 85.2 83.7 75.2 76.0 80.4 83.8 79.2 p-value† 0.0521 0.1803 1.0 Nonessential workers should stay home Agree 64.9 69.2 55.4 76.8 72.2 62.7 62.0 70.8 72.7 67.0 Disagree 17.8 14.2 13.8 7.7 11.5 20.7 19.6 14.4 11.1 16.1 p-value† 0.9043 <0.05§ 1.0 Persons should always keep ≥6-ft of physical distance Agree 86.5 88.6 73.8 82.4 86.9 85.0 91.1 90.5 77.8 88.3 Disagree 4.8 4.7 4.6 5.6 2.8 7.2 4.8 3.8 6.1 4.6 p-value† 1.0 <0.05§ <0.05§ Groups of 10 or more persons should not be allowed Agree 80.4 84.0 70.8 80.3 83.7 76.8 82.9 87.0 80.8 82.5 Disagree 9.9 7.0 10.8 8.5 6.0 11.9 9.2 6.1 5.1 8.5 p-value† 0.7238 <0.05§ 1.0 Dining inside restaurants should not be allowed Agree 62.2 70.1 67.7 72.5 68.3 60.8 65.6 68.6 66.7 66.6 Disagree 21.8 16.5 9.2 12.0 15.9 23.8 23.2 16.8 14.1 19.1 p-value† <0.05§ <0.05§ 1.0 Behaviors In self-isolation Yes 75.8 78.5 92.3 81.7 77.8 71.5 72.7 81.2 87.9 76.7 p-value† 1.0 <0.05§ 0.1246 Keep ≥6 ft apart from others Always 54.6 61.0 29.2 56.3 60.3 55.2 56.4 64.6 54.5 58.4 Often 22.6 20.3 30.8 23.2 18.3 21.6 23.5 19.2 18.2 21.5 Sometimes 9.0 7.7 26.2 7.0 9.1 9.1 7.7 5.7 14.1 7.9 Rarely 5.0 3.4 9.2 5.6 2.8 4.4 4.6 3.2 7.1 3.9 Never 8.8 7.7 4.6 7.7 9.5 9.7 7.9 7.3 6.1 8.3 p-value† 0.7508 <0.05§ 0.8299 Avoid groups of 10 or more persons Always 72.5 77.2 52.3 68.3 74.2 73.4 73.7 82.6 63.6 75.8 Often 12.2 9.7 15.4 18.3 11.9 8.8 12.0 7.9 14.1 10.6 Sometimes 3.9 3.2 15.4 2.1 4.4 4.4 3.1 1.8 6.1 3.4 Rarely 2.4 2.2 15.4 2.8 0.4 2.2 2.0 1.8 6.1 2.1 Never 8.8 7.8 1.5 8.5 9.1 11.3 9.2 5.9 10.1 8.1 p-value† 1.0 <0.05§ 0.1843 Been to a public area in the preceding week Yes 94.7 88.9 96.9 88.0 92.5 90.6 94.4 89.5 90.9 91.5 p-value† <0.05§ 0.3145 1.0 Wear cloth face covering when in public¶ Always 54.6 65.1 44.4 59.2 57.9 56.1 55.1 71.1 57.8 60.5 Often 14.9 12.9 15.9 16.0 12.9 13.1 17.6 10.8 13.3 13.9 Sometimes 10.1 7.6 15.9 8.8 8.6 8.7 10.3 6.6 13.3 8.5 Rarely 4.6 3.7 12.7 4.0 4.7 4.5 3.5 2.9 4.4 4.1 Never 15.8 10.6 11.1 12.0 15.9 17.6 13.5 8.6 11.1 13.1 p-value† <0.05§ <0.05§ 1.0 Beliefs State restrictions are The right balance 64.5 67.8 61.5 57.0 65.1 63.3 67.3 71.3 60.6 66.7 Not restrictive enough 18.0 18.1 21.5 31.7 19.0 16.9 16.1 15.4 26.3 17.5 p-value† 1.0 <0.05§ 0.7720 Would feel safe if restrictions were lifted nationwide at the time the survey was conducted Yes 28.8 23.3 43.1 26.8 27.4 30.1 26.3 19.2 25.3 25.7 p-value† 0.1019 <0.05§ 1.0 By race, employment status, and essential worker status, % Attitudes, behaviors, and beliefs Race** Employment status Essential worker†† White Black Asian Multiple race/Other Unemployed Retired Employed Yes No Attitudes Support stay-at-home orders and nonessential business closures Yes 77.9 89.2 90.4 84.3 81.9 80.0 78.4 75.6 80.9 p-value† <0.05§ 1.0 0.6953 Nonessential workers should stay home Agree 66.4 63.9 78.8 72.9 68.3 69.9 65.1 58.3 71.3 Disagree 16.8 16.9 4.8 11.4 13.9 14.9 17.1 19.6 14.8 p-value† 0.4225 1.0 <0.05§ Persons should always keep ≥6-ft of physical distance Agree 88.2 81.9 89.4 81.4 83.0 92.5 85.8 81.7 89.5 Disagree 4.9 6.0 1.9 4.3 8.1 2.1 5.5 7.1 4.1 p-value† 1.0 <0.05§ <0.05§ Groups of 10 or more persons should not be allowed Agree 82.0 84.3 89.4 78.6 79.5 87.5 79.7 74.8 84.1 Disagree 8.9 7.2 1.9 7.1 9.7 5.8 9.6 10.7 8.7 p-value† 1.0 <0.05§ <0.05§ Dining inside restaurants should not be allowed Agree 65.8 75.9 72.1 64.3 66.0 69.6 64.8 59.5 69.5 Disagree 20.5 7.2 6.7 15.7 19.3 16.9 20.0 22.4 17.8 p-value† <0.05§ 1.0 0.0899 Behaviors In self-isolation Yes 77.2 78.3 73.1 84.3 81.1 82.7 72.4 63.1 80.6 p-value† 1.0 <0.05§ <0.05§ Keep ≥6 ft apart from others Always 58.2 48.2 67.3 55.7 58.3 65.8 52.8 44.8 59.9 Often 21.6 20.5 17.3 21.4 21.6 19.0 22.8 26.0 20.0 Sometimes 8.0 14.5 4.8 11.4 5.8 5.5 10.9 13.0 9.1 Rarely 3.9 9.6 1.0 5.7 5.4 2.9 4.6 6.6 2.7 Never 8.2 7.2 9.6 5.7 8.9 6.8 8.9 9.7 8.2 p-value† 0.5507 <0.05§ <0.05§ Avoid groups of 10 or more persons Always 76.2 56.6 77.9 71.4 73.0 81.2 71.5 65.6 76.8 Often 10.8 15.7 6.7 11.4 10.8 8.2 12.6 16.0 9.6 Sometimes 3.0 12.0 1.9 5.7 4.2 2.2 4.2 5.6 3.0 Rarely 2.0 8.4 1.9 2.9 2.3 2.1 2.5 4.1 1.1 Never 8.0 7.2 11.5 8.6 9.7 6.3 9.1 8.7 9.6 p-value† <0.05§ 0.1179 <0.05§ Been to a public area in the preceding week Yes 91.8 91.6 87.5 91.4 88.4 89.1 94.1 97.5 91.1 p-value† 1.0 <0.05§ <0.05§ Wear cloth face covering when in public¶ Always 60.1 55.3 71.4 54.7 58.5 70.4 54.2 49.3 58.8 Often 13.7 19.7 9.9 14.1 10.0 11.1 16.7 20.4 13.3 Sometimes 8.4 13.2 8.8 10.9 10.5 5.6 10.3 9.7 11.0 Rarely 3.8 7.9 3.3 7.8 2.2 3.1 5.4 6.5 4.3 Never 14.0 3.9 6.6 12.5 18.8 9.8 13.4 14.1 12.8 p-value† 0.3708 <0.05§ 0.1843 Beliefs State restrictions are The right balance 66.7 65.1 67.3 60.0 67.6 68.7 64.3 64.9 63.8 Not restrictive enough 16.7 28.9 22.1 25.7 18.5 17.4 18.3 14.5 21.6 p-value† 0.0523 1.0 0.0563 Would feel safe if restrictions were lifted nationwide at the time the survey was conducted Yes 25.8 37.3 15.4 25.7 22.4 20.7 30.3 37.7 23.7 p-value† 0.0765 <0.05§ <0.05§ * Nationwide cohort (n = 1,676) only unless otherwise specified. The six respondent characteristic categories shown in the table (gender, age, ethnicity, race, employment status, and essential worker status) account for 32 of 34 significant associations among the 108 potential interactions evaluated. Responses and p-values values for significant associations with characteristics not presented in the table that are associated with the attitudes, behaviors, and beliefs include the following: Use of cloth face coverings when in public × Rural-urban classification, (p-value = 0.0324); Rural: Always = 51.4%, Often = 15.5%, Sometimes = 10.2%, Rarely = 7.8%, Never = 15.1%; Urban: Always = 62.0%, Often = 13.5%, Sometimes = 8.5%, Rarely = 3.4%, Never = 12.6%; attitude that dining inside restaurants should not be allowed × Know someone with COVID-19 (p-value = 0.0243), Know someone: Agree = 75.1%, Disagree = 12.5%; Do not know someone: Agree = 64.9%, Disagree = 20.1%. † Calculated with Chi-squared test of independence. § P-value is statistically significant. ¶ Of respondents who reported having been in a public area in the preceding week. ** The multiple race/other category includes respondents who self-reported as a race with <2.5% of respondents in any cohort (e.g., American Indian or Alaska Native, Native Hawaiian or Pacific Islander, or more than one race). †† Of 832 employed respondents in the U.S. cohort. Reported prevalences of always or often wearing a cloth face covering in public and maintaining ≥6 feet of physical distance also varied significantly across respondent demographics and characteristics. Respondents who were male, employed, or essential workers were significantly more likely to report having been in public areas in the past week. Among respondents who had been in public areas during the preceding week, significantly higher percentages of women, adults aged ≥65 years, retired persons, and those living in urban areas reported wearing cloth face coverings. A significantly higher percentage of adults aged ≥65 years and nonessential workers reported maintaining 6 feet of physical distance between themselves and others and abiding by the recommendation to avoid gatherings of 10 or more persons than did others. Adherence to recommendations to maintain 6 feet of physical distance and limit gatherings to fewer than 10 persons also differed significantly by employment status and race, respectively, with employed persons less likely than were retired persons to have maintained 6 feet of distance and black persons less likely than were white or Asian persons to have limited gatherings to fewer than 10 persons. Discussion There was broad support for stay-at-home orders, nonessential business closures, and adherence to public health recommendations to mitigate the spread of COVID-19 in early- to mid-May 2020. Most adults reported they would not feel safe if government-ordered community mitigation strategies such as stay-at-home orders and nonessential business closures were lifted nationwide at the time the survey was conducted, although a minority of these adults who did not feel safe wanted these restrictions lifted despite the risks. There was a significant association between age and feeling safe without community mitigation strategies, with younger adults feeling safer than those aged ≥65 years, which might relate to perceived risk for infection and severe disease. As of May 16, adults aged ≥65 years accounted for approximately 80% of reported COVID-19–associated deaths, compared with those aged 15–24 years, who accounted for 0.1% of such deaths ( 6 ). Identifying variations in public attitudes, behaviors, and beliefs by respondent characteristics can inform tailored messaging and targeted nonpharmacological interventions that might help to reduce the spread of COVID-19. Other variations in attitudes, behaviors, and beliefs by respondent characteristics have implications for implementation of COVID-19 mitigation strategies and related prevention messaging. For example, a lower percentage of respondents in the U.S. survey cohort reported wearing cloth face coverings and self-isolating than did those in NYC and Los Angeles. However, although use of cloth face coverings in NYC and Los Angeles were similar, NYC experienced substantially higher COVID-19-related mortality during the initial months of the pandemic than did Los Angeles ( 4 ). Nationwide, higher percentages of respondents from urban areas reported use of cloth face coverings than did rural area respondents. Because outbreaks have been reported in rural communities and among certain populations since March 2020 ( 7 , 8 ), these data suggest a need for additional and culturally effective messaging around the benefits of cloth face coverings targeting these areas. Essential workers also reported lower adherence to recommendations for self-isolation, 6 feet of physical distancing, and limiting gatherings to fewer than 10 persons. These behaviors might be related to job requirements and other factors that could limit the ability to effectively adhere to these recommendations. Nevertheless, the high rate of person-to-person contact associated with these behaviors increases the risk for widespread transmission of SARS-CoV-2 and underscores the potential value of tailored and targeted public health interventions. The findings in this report are subject to at least four limitations. First, behaviors and adherence to recommendations were self-reported; therefore, responses might be subject to recall, response, and social desirability biases. Second, responses were cross-sectional, precluding inferences about causality. Third, respondents were not necessarily representative among all groups; notably a lower percentage of African Americans responded than is representative of the U.S. population. In addition, participation might have been higher among persons who knew someone who had tested positive or had died from COVID-19, which could have affected support for and adherence to mitigation efforts. Finally, given that the web-based survey does not recruit participants using population-based probability sampling and respondents might not be fully representative of the U.S. population, findings might have limited generalizability. However, this survey did apply screening procedures to address issues related to web-based panel quality. Widespread support for community mitigation strategies and commitment to COVID-19 public health recommendations indicate that protecting health and controlling disease are public priorities amid this pandemic, despite daily-life disruption and adverse economic impacts ( 5 , 9 ). These findings of high public support might inform reopening policies and the timelines and restriction levels of these mitigation strategies as understanding of public support for and adherence to these policies evolves. Absent a vaccine, controlling COVID-19 depends on community mitigation strategies that require public support to be effective. As the pandemic progresses and mitigation strategies evolve, understanding public attitudes, behaviors, and beliefs is critical. Adherence to recommendations to wear cloth face coverings and physical distancing guidelines are of public health importance. Strong public support for these behaviors suggests an opportunity to normalize safe practices and promote continued use of these and other recommended personal protective behaviors to minimize further spread of COVID-19 as jurisdictions reopen. These findings and periodic assessments of public attitudes, behaviors, and beliefs can also inform future planning if subsequent outbreak waves occur, and if additional periods of expanded mitigation efforts are necessary to prevent the spread of COVID-19 and save lives. Summary What is already known about this topic? Stay-at-home orders and recommended personal protective practices were disseminated to mitigate the spread of COVID-19 in the United States. What is added by this report? During May 5–12, 2020, a survey among adults in New York City and Los Angeles and broadly across the United States found widespread support of stay-at-home orders and nonessential business closures and high degree of adherence to COVID-19 mitigation guidelines. Most respondents reported that they would feel unsafe if restrictions were lifted at the time of the survey. What are the implications for public health practice? Routine assessment of public priorities can guide public health decisions requiring collective action. Current levels of public support for restrictions and adherence to mitigation strategies can inform decisions about reopening and balancing duration and intensity of restrictions.

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          The Socio-Economic Implications of the Coronavirus and COVID-19 Pandemic: A Review

          The COVID-19 pandemic has resulted in over 1.4 million confirmed cases and over 83,000 deaths globally. It has also sparked fears of an impending economic crisis and recession. Social distancing, self-isolation and travel restrictions forced a decrease in the workforce across all economic sectors and caused many jobs to be lost. Schools have closed down, and the need of commodities and manufactured products has decreased. In contrast, the need for medical supplies has significantly increased. The food sector has also seen a great demand due to panic-buying and stockpiling of food products. In response to this global outbreak, we summarise the socio-economic effects of COVID-19 on individual aspects of the world economy.
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            COVID-19 Among Workers in Meat and Poultry Processing Facilities ― 19 States, April 2020

            Congregate work and residential locations are at increased risk for infectious disease transmission including respiratory illness outbreaks. SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is primarily spread person to person through respiratory droplets. Nationwide, the meat and poultry processing industry, an essential component of the U.S. food infrastructure, employs approximately 500,000 persons, many of whom work in proximity to other workers (1). Because of reports of initial cases of COVID-19, in some meat processing facilities, states were asked to provide aggregated data concerning the number of meat and poultry processing facilities affected by COVID-19 and the number of workers with COVID-19 in these facilities, including COVID-19-related deaths. Qualitative data gathered by CDC during on-site and remote assessments were analyzed and summarized. During April 9-27, aggregate data on COVID-19 cases among 115 meat or poultry processing facilities in 19 states were reported to CDC. Among these facilities, COVID-19 was diagnosed in 4,913 (approximately 3%) workers, and 20 COVID-19-related deaths were reported. Facility barriers to effective prevention and control of COVID-19 included difficulty distancing workers at least 6 feet (2 meters) from one another (2) and in implementing COVID-19-specific disinfection guidelines.* Among workers, socioeconomic challenges might contribute to working while feeling ill, particularly if there are management practices such as bonuses that incentivize attendance. Methods to decrease transmission within the facility include worker symptom screening programs, policies to discourage working while experiencing symptoms compatible with COVID-19, and social distancing by workers. Source control measures (e.g., the use of cloth face covers) as well as increased disinfection of high-touch surfaces are also important means of preventing SARS-CoV-2 exposure. Mitigation efforts to reduce transmission in the community should also be considered. Many of these measures might also reduce asymptomatic and presymptomatic transmission (3). Implementation of these public health strategies will help protect workers from COVID-19 in this industry and assist in preserving the critical meat and poultry production infrastructure (4).
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              • Record: found
              • Abstract: found
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              High COVID-19 Attack Rate Among Attendees at Events at a Church — Arkansas, March 2020

              On March 16, 2020, the day that national social distancing guidelines were released (1), the Arkansas Department of Health (ADH) was notified of two cases of coronavirus disease 2019 (COVID-19) from a rural county of approximately 25,000 persons; these cases were the first identified in this county. The two cases occurred in a husband and wife; the husband is the pastor at a local church (church A). The couple (the index cases) attended church-related events during March 6-8, and developed nonspecific respiratory symptoms and fever on March 10 (wife) and 11 (husband). Before his symptoms had developed, the husband attended a Bible study group on March 11. Including the index cases, 35 confirmed COVID-19 cases occurred among 92 (38%) persons who attended events held at church A during March 6-11; three patients died. The age-specific attack rates among persons aged ≤18 years, 19-64 years, and ≥65 years were 6.3%, 59.4%, and 50.0%, respectively. During contact tracing, at least 26 additional persons with confirmed COVID-19 cases were identified among community members who reported contact with church A attendees and likely were infected by them; one of the additional persons was hospitalized and subsequently died. This outbreak highlights the potential for widespread transmission of SARS-CoV-2, the virus that causes COVID-19, both at group gatherings during church events and within the broader community. These findings underscore the opportunity for faith-based organizations to prevent COVID-19 by following local authorities' guidance and the U.S. Government's Guidelines: Opening Up America Again (2) regarding modification of activities to prevent virus transmission during the COVID-19 pandemic.
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                Author and article information

                Journal
                MMWR Morb Mortal Wkly Rep
                MMWR Morb. Mortal. Wkly. Rep
                WR
                Morbidity and Mortality Weekly Report
                Centers for Disease Control and Prevention
                0149-2195
                1545-861X
                19 June 2020
                19 June 2020
                : 69
                : 24
                : 751-758
                Affiliations
                Monash University, Melbourne, Australia; Austin Health, Melbourne, Australia; CDC COVID-19 Response Team; University of Melbourne, Melbourne, Australia; Brigham and Women’s Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
                Author notes
                Corresponding author: Michael A. Tynan, mtynan@ 123456cdc.gov , 404-498-1202.
                Article
                mm6924e1
                10.15585/mmwr.mm6924e1
                7302477
                32555138
                47083c4d-77c5-4095-bc60-6875cd5cca79

                All material in the MMWR Series is in the public domain and may be used and reprinted without permission; citation as to source, however, is appreciated.

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