Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets.

BACKGROUND: The issue of food insecurity is becoming increasingly important to public health practitioners because of the adverse health outcomes and underlying racial disparities associated with insufficient access to healthy foods. Prior research has used data sources such as surveys, geographic information systems, and food store assessments to identify regions classified as food deserts but perhaps the individuals in these regions unknowingly provide their own accounts of food consumption and food insecurity through social media. Social media data have proved useful in answering questions related to public health; therefore, these data are a rich source for identifying food deserts in the United States. OBJECTIVE: The aim of this study was to develop, from geotagged Twitter data, a predictive model for the identification of food deserts in the United States using the linguistic constructs found in food-related tweets. METHODS: Twitter's streaming application programming interface was used to collect a random 1% sample of public geolocated tweets across 25 major cities from March 2020 to December 2020. A total of 60,174 geolocated food-related tweets were collected across the 25 cities. Each geolocated tweet was mapped to its respective census tract using point-to-polygon mapping, which allowed us to develop census tract-level features derived from the linguistic constructs found in food-related tweets, such as tweet sentiment and average nutritional value of foods mentioned in the tweets. These features were then used to examine the associations between food desert status and the food ingestion language and sentiment of tweets in a census tract and to determine whether food-related tweets can be used to infer census tract-level food desert status. RESULTS: We found associations between a census tract being classified as a food desert and an increase in the number of tweets in a census tract that mentioned unhealthy foods (P=.03), including foods high in cholesterol (P=.02) or low in key nutrients such as potassium (P=.01). We also found an association between a census tract being classified as a food desert and an increase in the proportion of tweets that mentioned healthy foods (P=.03) and fast-food restaurants (P=.01) with positive sentiment. In addition, we found that including food ingestion language derived from tweets in classification models that predict food desert status improves model performance compared with baseline models that only include socioeconomic characteristics. CONCLUSIONS: Social media data have been increasingly used to answer questions related to health and well-being. Using Twitter data, we found that food-related tweets can be used to develop models for predicting census tract food desert status with high accuracy and improve over baseline models. Food ingestion language found in tweets, such as census tract-level measures of food sentiment and healthiness, are associated with census tract-level food desert status.

Food insecurity, food deserts, reproduction and pregnancy: we should alert from now.

Food insecurity and food deserts are prominent global health problems, now exacerbated by current COVID-19 pandemic. Some evidence points to the importance of food security, particularly for women in their reproductive age. Women's health and their nutrition status, across the continuum of preconception to pregnancy and postpartum are critical aspects for ensuring positive gestation course and short-/long-term outcomes by affecting essential developmental pathways. Several adverse outcomes (both maternal and neonatal) were reported in scientific literature. Screening programs, new economic policies, implementation of assistance since preconception could be a good strategy to mitigate the negative consequences of food insecurity. Potential strategies could include addressing misconceptions about healthy maternal diet and breast milk adequacy, stress management, promote social support networks, and connecting to supplemental nutrition assistance programs.KEY POINTSFood insecurity (limited food access owing to cost) and desert foods (living in areas with low physical/personal access to nutritious food) are major public health concerns.Large geographical and within-country disparities, multiple socio-economic determinants.Childbearing age and pregnancy are groups at higher vulnerability to develop complications.Food insecurity negatively affects offspring health and development.Peri-conceptional window: an early clinical opportunity to screen and to apply preventive strategies.Help vulnerable groups to have access to more affordable nutritious food, educate and change unhealthy behaviors, adequate stress management, social support networks.

The COVID-19 Pandemic and Children's Environmental Health.

The coronavirus disease 2019 pandemic has dramatically altered the health and well-being of children, particularly as they have been isolated indoors and in their homes as a result of social distancing measures. In this article, we describe several of the environmental threats that are affecting the health of children during the pandemic. These include increased exposure to household cleaning products, chemicals and lead in dust, indoor air pollutants, screen time, family stress, and firearms, as well as decreased availability of food, social supports, and routine childhood screenings. Importantly, many of these threats disproportionately affect children of racial or ethnic minorities or who have low socioeconomic status. Pediatric health care providers will need to screen and treat children and counsel their parents and/or other caregivers during well-child visits with an eye for these new or worsened environmental threats. [Pediatr Ann. 2020;49(12):e537-e542.].