Baseline Characteristics | Univariate OR (95% CI) |
---|---|
Sociodemographic Factors | |
 MaleP | 0.91 (0.61,1.36) |
 AgeP | 1.00 (0.99,1.02) |
 Hispanic/Latinx/Mexican | 0.25 (0.17,0.37) |
 Speaks English | 5.06 (2.99,8.58) |
 Born in the US | 6.57 (4.33,9.97) |
 Primary residence in San Diego | 5.64 (3.62,8.79) |
 Homeless* | 2.07 (1.45,2.96) |
 Completed high school or its equivalent | 5.64 (3.62,8.79) |
 Monthly income < 500 USD | 0.47 (0.33,0.68) |
Behavioral Factors | |
 # of hours spent on the street on a typical day* | 1.04 (1.02,1.07) |
 Engaged in sex work*P | 0.79 (0.46,1.36) |
Substance Use Factors | |
 Smoked/snorted/inhaled/vaped methamphetamine* | 2.05 (1.39,3.03) |
 Smoked/snorted/inhaled cocaine* | 3.29 (1.94,5.56) |
 Smoked/snorted/inhaled/vaped fentanyl* | 4.38 (2.83,6.78) |
 Smoked/snorted/inhaled/vaped heroin* | 2.31 (1.58,3.40) |
 Injected methamphetamine* | 2.04 (1.42,2.91) |
 Injected fentanyl* | 2.43 (1.60,3.68) |
 Injected heroin*P | 0.80 (0.48,1.35) |
 Years of injection drug useP | 1.00 (0.99,1.02) |
 # Times injected drugs per day | 0.87 (0.78,0.98) |
Mental Health and Attitudinal Factors | |
 GAD-7 anxiety scale | 1.04 (1.01,1.07) |
 On a scale of 1 to 10, how worried are you of getting COVID-19 (or getting it again) | 0.94 (0.88,0.99) |
COVID-19 Misinformation and Disinformation | |
 COVID-19 Misinformation: Does NOT think the virus that causes COVID-19 can be easily spread from one person to anotherY3P | 0.87 (0.55,1.36) |
 COVID-19 Misinformation: Does NOT think that many thousands of people have died from COVID-19Y3P | 0.67 (0.38,1.19) |
 COVID-19 Misinformation: Thinks that most people already have immunity to COVID-19Y3P | 0.89 (0.60,1.31) |
 COVID-19 Misinformation: Thinks that you can tell someone has COVID-19 by looking at themY3P | 1.05 (0.67,1.65) |
 COVID-19 Misinformation: Thinks that there are effective treatments for COVID-19 that can cure most peopleY3 | 0.66 (0.43,1.00) |
 COVID-19 Misinformation: Thinks that having COVID-19 is about as dangerous as having the fluY3P | 1.31 (0.90,1.92) |
 COVID-19 Disinformation: Thinks the pharmaceutical industry created the COVID-19 virus Y3 P | 1.24 (0.86,1.80) |
 COVID-19 Disinformation: Thinks COVID-19 was created by the Chinese government as a biological weapon Y3 | 1.56 (1.07,2.28) |
 COVID-19 Disinformation: Thinks the vaccines given to children for diseases like measles and mumps cause autism Y3 P | 1.29 (0.88,1.89) |
 COVID-19 Disinformation: Thinks the pharmaceutical industry created the COVID-19 virus Y3 P | 1.24 (0.86,1.80) |
 COVID-19 Disinformation: Thinks that COVID vaccines being offered to ‘people like me’ are not as safe as other COVID vaccines Y3 | 1.58 (1.08,2.33) |
 COVID-19 Disinformation: Thinks that COVID vaccines include a tracking device Y3 P | 1.17 (0.77,1.77) |
 COVID-19 Disinformation: Thinks that some COVID vaccines could change their DNA Y3 | 1.73 (1.16,2.58) |
Health-Related Factors | |
 Ever had a flu vaccineY2 | 2.71 (1.85,3.97) |
 Tested HIV+ | 0.53 (0.25,1.12) |
 Tested HCV+ | 1.43 (1.00,2.05) |
 Has at least one chronic condition (excluding seasonal allergies and acne/skin problems) | 2.48 (1.73,3.57) |
 # of chronic conditions (excluding seasonal allergies and acne/skin problems | 1.40 (1.19,1.65) |
COVID-19-Related Factors | |
 Income worse since COVID beganY1 | 0.59 (0.41,0.86) |
 Low or very low food security since COVID began | 0.70 (0.45,1.08) |
 Exposed to someone with COVID-19 | 4.03 (1.97,8.25) |
 Knows someone who died of COVID-19Y5 | 1.41 (0.95,2.08) |
 Reported being vaccinated for COVID-19 | 1.66 (1.01,2.75) |
 Tested SARS-CoV-2 seropositiveY6P | 1.05 (0.83,1.33) |
COVID-19 Protective Behaviors | |
 Social Distancing | 3.68 (2.52,5.39) |
 Wore face mask | 1.69 (1.05,2.73) |
 Most important source of COVID-19-related information: FriendsY4 | 0.42 (0.28,0.63) |
 Most important source of COVID-19-related information: Doctors/health professionalsY4 | 5.20 (2.50,10.8) |
 Most important source of COVID-19-related information: Social mediaY4 | 2.59 (1.52,4.43) |
Touchpoint Opportunities for COVID-19 Testing | |
 Incarcerated* | 3.19 (1.84,5.53) |
 Slept in a shelter/welfare residence* | 3.73(1.96, 7.10) |
 Overdose* | 1.88 (1.18,3.00) |
 Tested for HIV or HCV post-COVID | 2.10 (1.46,3.02) |
 Has been enrolled in a drug treatment program* | 3.56 (1.97,6.44) |
 Has been enrolled in a methadone or buprenorphine program* | 3.67 (1.85,7.25) |
 Attended a syringe service program* | 3.13 (1.07,9.16) |