To limit the spread of the novel coronavirus, governments across the world implemented extraordinary physical distancing policies, such as stay-at-home orders, and numerous studies aim to estimate their effects. Many statistical and econometric methods, such as difference-in-differences, leverage repeated measurements and variation in timing to…

Current models of COVID-19 transmission predict infection from reported or assumed interactions. Here we leverage high-resolution observations of interaction to simulate infectious processes. Ultra- Wide Radio Frequency Identification (RFID) systems were employed to track the real-time physical movements and directional orientation of children and…

As a key part of the behavioral immune system, disgust is thought to have evolved to motivate the avoidance of pathogens. While evidence for such a role is accruing, naturalistic tests of this thesis are few and exactly how "risk" is implicated remains unclear. Two pre-registered studies tested whether objective "or" perceived…

During the COVID-19 pandemic, people across the globe have been exposed to large amounts of statistical data. Previous studies have shown that individuals' mathematical understanding of health-related information affects their attitudes and behaviours. Here, we investigate the relation between: (1) basic numeracy; (2) COVID-19 health numeracy; and…

During the COVID-19 pandemic, mask-wearing in classrooms has become commonplace. However, there are little data on the effect of face-masks on children's language input and production in educational contexts, like preschool classrooms which over half of United States children attend. Leveraging repeated objective measurements, we longitudinally…

Biased sampling occurs frequently in economics, epidemiology, and medical studies either by design or due to data collecting mechanism. Failing to take into account the sampling bias usually leads to incorrect inference. We propose a unified estimation procedure and a computationally fast resampling method to make statistical inference for…

Parent-child conversations are important for children's cognitive development, children's ability to cope with stressful events, and can shape children's beliefs about the causes of illness. In the context of a global pandemic, families have faced a multitude of challenges, including changes to their routines, that they need to convey to their…

Lockhart and Keil have written an interesting monograph focusing on the development of reasoning about medicine, a relatively underexplored area of research with potentially broad implications with respect to the design of more effective medical interventions. In a set of fifteen studies with well over 2200 participants they examine how children…

A small portion of Americans account for a disproportionate amount of the incidences of sexually transmitted infection observed over a short period of time. Studies with adults have begun to characterize this population, yet there is very little data on adolescent sexually transmitted infection repeaters (STIR). This study explores characteristics…