Table 2.

Descriptive statistics for variables included in empirical model

		Mean	Standard deviation
Outcome	Wearing of masks	0.62	0.49
Susceptible	Not perceived to be susceptible	0.51	0.50
	Don’t know whether susceptible	0.14	0.34
	Perceived to be susceptible to COVID-19	0.35	0.48
Severity	Respondent aged 60 or older	0.14	0.34
	Respondent has a chronic condition	0.19	0.39
	High blood pressure in 2017	0.20	0.40
	Obese in 2017	0.27	0.45
	Overweight in 2017	0.52	0.50
Benefits	District prevalence of mask-wearing	0.61	0.14
	Stay at home	0.40	0.49
	Living with person aged 60 or older	0.23	0.42
Barriers	Employed	0.45	0.50
	SES quintile 1 (most affluent)	0.17	0.38
	SES quintile 2	0.22	0.41
	SES quintile 3	0.21	0.41
	SES quintile 4	0.21	0.40
	SES quintile 5 (poorest)	0.19	0.40
Cue to action	Prevalence of COVID-19 cases at time of interview	627.84	790.53
	Interviewed in second half May	0.10	0.30
	Interviewed in first half June	0.18	0.39
	Interviewed in second half of June	0.18	0.38
	Interviewed in first half July	0.03	0.17
	Interviewed in second half July	0.38	0.49
	Interviewed in first half August	0.08	0.28
Self-efficacy	Perceived lack of ability to avoid virus	0.12	0.32
	Don’t know about self-efficacy	0.05	0.22
	Perceived ability to avoid virus (self-efficacy)	0.83	0.37
Demographic and geographic variables	Woman	0.53	0.50
	Resides in informal building structure	0.11	0.31
	Rural resident	0.30	0.46
	Metro resident	0.37	0.48
Observations		10126

Note: For staying at home there are 387 missing values, bringing the N to 9739.