Geographically skewed recruitment and COVID-19 seroprevalence estimates: a cross-sectional serosurveillance study and mathematical modelling analysis.

OBJECTIVES: Convenience sampling is an imperfect but important tool for seroprevalence studies. For COVID-19, local geographic variation in cases or vaccination can confound studies that rely on the geographically skewed recruitment inherent to convenience sampling. The objectives of this study were: (1) quantifying how geographically skewed recruitment influences SARS-CoV-2 seroprevalence estimates obtained via convenience sampling and (2) developing new methods that employ Global Positioning System (GPS)-derived foot traffic data to measure and minimise bias and uncertainty due to geographically skewed recruitment. DESIGN: We used data from a local convenience-sampled seroprevalence study to map the geographic distribution of study participants' reported home locations and compared this to the geographic distribution of reported COVID-19 cases across the study catchment area. Using a numerical simulation, we quantified bias and uncertainty in SARS-CoV-2 seroprevalence estimates obtained using different geographically skewed recruitment scenarios. We employed GPS-derived foot traffic data to estimate the geographic distribution of participants for different recruitment locations and used this data to identify recruitment locations that minimise bias and uncertainty in resulting seroprevalence estimates. RESULTS: The geographic distribution of participants in convenience-sampled seroprevalence surveys can be strongly skewed towards individuals living near the study recruitment location. Uncertainty in seroprevalence estimates increased when neighbourhoods with higher disease burden or larger populations were undersampled. Failure to account for undersampling or oversampling across neighbourhoods also resulted in biased seroprevalence estimates. GPS-derived foot traffic data correlated with the geographic distribution of serosurveillance study participants. CONCLUSIONS: Local geographic variation in seropositivity is an important concern in SARS-CoV-2 serosurveillance studies that rely on geographically skewed recruitment strategies. Using GPS-derived foot traffic data to select recruitment sites and recording participants' home locations can improve study design and interpretation.

Recruitment location influences bias and uncertainty in SARS-CoV-2 seroprevalence estimates.

The initial phase of the COVID-19 pandemic in the US was marked by limited diagnostic testing, resulting in the need for seroprevalence studies to estimate cumulative incidence and define epidemic dynamics. In lieu of systematic representational surveillance, venue-based sampling was often used to rapidly estimate a community's seroprevalence. However, biases and uncertainty due to site selection and use of convenience samples are poorly understood. Using data from a SARS-CoV-2 serosurveillance study we performed in Somerville, Massachusetts, we found that the uncertainty in seroprevalence estimates depends on how well sampling intensity matches the known or expected geographic distribution of seropositive individuals in the study area. We use GPS-estimated foot traffic to measure and account for these sources of bias. Our results demonstrated that study-site selection informed by mobility patterns can markedly improve seroprevalence estimates. Such data should be used in the design and interpretation of venue-based serosurveillance studies.

Maternal and Paternal Influences on Children's Coping with Cancer-Related Stress.

Childhood cancer is a significant source of stress for children and families, and children's coping with cancer-related stress is a key predictor of emotional adjustment. To extend understanding of the determinants of children's coping with cancer-related stress, this study examined whether mothers' and fathers' functioning after their child's diagnosis-including coping and depressive symptoms-is predictive of children's coping over time. Participants included 166 children (Mage = 13.47, SD = 2.47, 51.2% female), 161 mothers, and 83 fathers. Approximately two months post-diagnosis (T1), parents reported on their coping and depressive symptoms. At T1 and approximately 12 months later (T2), children reported on their coping. Results indicated that mothers' coping and depressive symptoms were correlated with children's coping at T1; fathers' coping and depressive symptoms were generally not associated with children's coping at T1. Hierarchical regression analyses revealed that fathers' secondary control coping (i.e., coping aimed at adapting to cancer-related stress) predicted higher levels of secondary control coping in children over time. Mothers' depressive symptoms predicted lower levels of secondary control coping over time in girls, and fathers' depressive symptoms predicted lower levels of secondary control coping over time across sex. Parents' functioning after their child's cancer diagnosis may shape how children cope with cancer-related stress. Parents' coping and depressive symptoms may be important targets for interventions aiming to promote positive adjustment in children with cancer.

Coping and Emotion Regulation from Childhood to Early Adulthood: Points of Convergence and Divergence.

Processes of coping with stress and the regulation of emotion reflect basic aspects of development and play an important role in models of risk for psychopathology and the development of preventive interventions and psychological treatments. However, research on these two constructs has been represented in two separate and disconnected bodies of work. We examine possible points of convergence and divergence between these constructs with regard to definitions and conceptualization, research methods and measurement, and interventions to prevent and treat psychopathology. There is clear evidence that coping and emotion regulation are distinct but closely related constructs in all of these areas. The field will benefit from greater integration of methods and findings in future research.