Characterizing Children's Intuitive Theories of Disease: The Case of Flu

"It kinda has like a mind": Children's and parents' beliefs concerning viral disease transmission for COVID-19 and the common cold

How people reason about disease transmission is central to their commonsense theories, scientific literacy, and adherence to public health guidelines. This study provided an in-depth assessment of U.S. children's (ages 5-12, N = 180) and their parents' (N = 125) understanding of viral transmission of COVID-19 and the common cold, during the first year of the COVID-19 pandemic. The primary aim was to discover children's causal models of viral transmission, by asking them to predict and explain counter-intuitive outcomes (e.g., asymptomatic disease, symptom delay) and processes that cannot be directly observed (e.g., viral replication, how vaccines work). A secondary aim was to explore parental factors that might contribute to children's understanding. Although even the youngest children understood germs as disease-causing and were highly knowledgeable about certain behaviors that transmit or block viral disease (e.g., sneezing, mask-wearing), they generally failed to appreciate the processes that play out over time within the body. Overall, children appeared to rely on two competing mental models of viruses: one in which viruses operate strictly via mechanical processes (movement through space), and one in which viruses are small living creatures, able to grow in size and to move by themselves. These results suggest that distinct causal frameworks co-exist in children's understanding. A challenge for the future is how to teach children about illness as a biological process without also fostering inappropriate animism or anthropomorphism of viruses.

Prediction From Minimal Experience: How People Predict the Duration of an Ongoing Epidemic

People are known for good predictions in domains they have rich experience with, such as everyday statistics and intuitive physics. But how well can they predict for problems they lack experience with, such as the duration of an ongoing epidemic caused by a new virus? Amid the first wave of COVID-19 in China, we conducted an online diary study, asking each of over 400 participants to predict the remaining duration of the epidemic, once per day for 14 days. Participants' predictions reflected a reasonable use of publicly available information but were meanwhile biased, subject to the influence of negative affect and future time perspectives. Computational modeling revealed that participants neither relied on prior distributions of epidemic durations as in inferring everyday statistics, nor on mechanistic simulations of epidemic dynamics as in computing intuitive physics. Instead, with minimal experience, participants' predictions were best explained by similarity-based generalization of the temporal pattern of epidemic statistics. In two control experiments, we further confirmed that such cognitive algorithm is not specific to the epidemic scenario and that minimal and rich experience do lead to different prediction behaviors for the same observations. We conclude that people generalize patterns in recent history to predict the future under minimal experience.

Teaching and learning about respiratory infectious diseases: A scoping review of interventions in K-12 education

The pandemic outbreak of COVID-19 has highlighted an urgent need for infectious disease education for K-12 students. To gather a better understanding of what educational interventions have been conducted and to what effect, we performed a scoping review. We identified and examined 23 empirical researcher- and teacher-designed studies conducted in the last 20 years that have reported on efforts to help K-12 students learn about infectious diseases, with a focus on respiratory transmission. Our review shows studies of educational interventions on this topic are rare, especially with regard to the more population-scale (vs. cellular level) concepts of epidemiology. Furthermore, efforts to educate youth about infectious disease primarily focused on secondary school students, with an emphasis on interactive learning environments to model or simulate both cellular-level and population-level attributes of infectious disease. Studies were only mildly successful in raising science interest, with somewhat stronger findings on helping students engage in scientific inquiry on the biology of infectious diseases and/or community spread. Most importantly, efforts left out critical dimensions of transmission dynamics key to understanding implications for public health. Based on our review, we articulate implications for further research and development in this important domain.

Differences in Psychological and Behavioral Changes between Children following School Closure due to COVID-19

School closure due to coronavirus disease 2019 (COVID-19) pushed children across ages and nationalities into a state of mental health crisis. In Japan, children between the ages of 6 and 18 were ordered to stay at home and observe social distancing for several months. This study is aimed at investigating the effects of quarantine due to COVID-19 on children belonging to different developmental stages in life. Data were collected from mothers of typically developing children aged between 6 and 18 years. The differences in psychological and behavioral changes following school closure during the COVID-19 pandemic were explored. A total of 535 children, including 145 students in lower grades of elementary school (6–9 years), 124 students in higher grades of elementary school (9–12 years), 132 students in junior high school (12–15 years), and 134 students in high school (15–18 years), were recruited. Children in lower grades of elementary school (lower grades group) gained significantly lower understanding about COVID-19 and the necessity of COVID-19 restrictions than children in the other groups. Moreover, they had more psychological problems: they easily cried and complained, were unable to keep calm, and were dependent on parents and family members. Changes in sleep patterns were more prevalent in junior and senior high school students. We concluded that mental health care should be provided based on the growth period of each child not only during school closure but also after school reopening.