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In response to rapidly changing societal conditions stemming from the COVID-19 pandemic, we summarize data sources with potential to produce timely and spatially granular measures of physical, economic, and social conditions relevant to public health surveillance, and we briefly describe emerging analytic methods to improve small-area estimation. To inform this article, we reviewed published systematic review articles set in the United States from 2015 to 2020 and conducted unstructured interviews with senior content experts in public heath practice, academia, and industry. We identified a modest number of data sources with high potential for generating timely and spatially granular measures of physical, economic, and social determinants of health. We also summarized modeling and machine-learning techniques useful to support development of time-sensitive surveillance measures that may be critical for responding to future major events such as the COVID-19 pandemic. (Am J Public Health. 2022;112(10):1436–1445. https://doi.org/10.2105/AJPH.2022.306917 )

In this egocentric network study, we explored Chinese collectivism in relation to social network characteristics and sex work-related stigma among mid-age female sex workers (FSWs). Respondent-driven sampling was used to recruit 1245 mid-age FSWs from three cities in China. We found that a one standard deviation (SD) increase in FSWs’ collectivism was associated with a 0.18 SD decrease in social support (95% CI − 0.32, − 0.04), a 0.20 SD decrease in network effective size (i.e., the diversity of a social network; 95% CI − 0.30, − 0.10), and a 0.21 SD decrease in network betweenness (i.e., the “bridging potential” of egos within their networks; 95% CI − 0.33, − 0.09). Among participants who perceived more sex work stigma, the association between collectivism and FSWs' network betweenness was attenuated. In a collective culture emphasizing group values and honor, belonging to a less interconnected social network may give FSWs a structural advantage to cope with stigma and secure social support.

In this egocentric network study, we explored Chinese collectivism in relation to social network characteristics and sex work-related stigma among mid-age female sex workers (FSWs). Respondent-driven sampling was used to recruit 1245 mid-age FSWs from three cities in China. We found that a one standard deviation (SD) increase in FSWs' collectivism was associated with a 0.18 SD decrease in social support (95% CI - 0.32, - 0.04), a 0.20 SD decrease in network effective size (i.e., the diversity of a social network; 95% CI - 0.30, - 0.10), and a 0.21 SD decrease in network betweenness (i.e., the "bridging potential" of egos within their networks; 95% CI - 0.33, - 0.09). Among participants who perceived more sex work stigma, the association between collectivism and FSWs' network betweenness was attenuated. In a collective culture emphasizing group values and honor, belonging to a less interconnected social network may give FSWs a structural advantage to cope with stigma and secure social support.