Fig 1.
Flowchart diagram for inclusion of study population for mobility analysis.
Table 1.
Demographic and household characteristics of COPA participants by arboviral (CHIKV and ZIKV) serostatus, Ponce, Puerto Rico, 2018–2020.
Summary statistics are shown for the demographic variables in the study, stratified by arboviral infection result (Arbovirus–or +). All variables shown are categorical, and are presented with frequencies (column percentages). Min = Minimum; Max = Maximum.
Table 2.
Mobility-related characteristics of COPA participants by arboviral (CHIKV and ZIKV) serostatus, Ponce, Puerto Rico, 2018–2020.
Summary statistics are shown for the main mobility-related variables in the study, stratified by arboviral infection result (Arbovirus–or +). Continuous variables are presented with medians [Minimum, Maximum], while categorical variables are presented with frequencies (column percentages). Min = Minimum; Max = Maximum.
Table 3.
Results of unadjusted and multivariable linear regression models with demographic predictors of (log-transformed) hours spent outside the home.
Demographic predictor coefficients of mobility (hours spent outside the home) are shown for the demographic variables (age group, sex, income, employment, and education) for the single-predictor regression models (left column) and best-fit multivariable model (right column). Note that age group and sex were not included in the best-fit multivariable model. Statistically significant estimates (α-level 0.05) are noted with an asterisk (*) in the “Sig.” column. Ref. = reference level; Coef. = coefficient; Lower/Upper = lower and upper bounds of 95% confidence interval; Sig. = statistically significant.
Fig 2.
Proportion of participants and predicted probability of testing positive for arbovirus by typical (log-transformed) weekly hours spent outside the home.
The proportion of participants (panel A) and the estimated probability of testing positive for arbovirus, after adjusting for age and screens or air conditioning presence in the home (panel B), are shown compared to the reported (log-transformed) typical weekly hours spent outside of the home of residence. In panel A, the proportion individuals who reported 0 weekly hours outside the home are noted in the bar with <1 weekly hours spent outside the home, due to the logarithmic scale of the data and axis. In panel B, the solid blue line represents the mean fixed effects predicted probability and the light blue band denotes the 95% confidence interval.
Table 4.
Hierarchical logistic regression models of mobility variables to predict arboviral prevalence.
Results of the hierarchical logistic regression models with statistically significant single predictors are shown. Column A shows the results from the single mobility predictor models, while column B shows the full adjusted model with the same mobility variable, adjusted for demographic variables (chosen as the models with the lowest Deviance Information Criterion value). Model 7 contains the mobility variable log-transformed weekly hours spent outside the home; Model 8 contains the mobility variable spending any amount of time over 5 hours at a work location (binary); Model 9 contains the mobility variable number of weekly hours (5 or more) spent at work; Model 10 contains the mobility variable spending any amount of time over 5 hours at a location indoors with air conditioning or screens (binary); and Model 11 contains the mobility variable number of weekly hours (5 or more) spent at a location indoors with air conditioning or screens. Statistically significant (confidence interval does not contain 1) coefficients are denoted with an asterisk (*). For estimates and/or confidence intervals that round to the null value (1), three or four significant digits are shown instead of two. OR = odds ratio; aOR = adjusted odds ratio; Ref. = reference level; log = log-transformed; AC = air conditioning; Lower/Upper = lower and upper bounds of 95% confidence interval; Sig. = statistically significant.