Universal School Meals in the US: What Can We Learn from the Community Eligibility Provision?

Changes in school meal programs can affect well-being of millions of American children. Since 2014, high-poverty schools and districts nationwide had an option to provide universal free meals (UFM) through the Community Eligibility Provision (CEP). The COVID-19 pandemic expanded UFM to all schools in 2020-2022. Using nationally representative data from the Early Childhood Longitudinal Study: Kindergarten Class of 2010-2011, we measured CEP effects on school meal participation, attendance, academic achievement, children's body weight, and household food security. To provide plausibly causal estimates, we leveraged the exogenous variation in the timing of CEP implementation across states and estimated a difference-in-difference model with child random effects, school and year fixed effects. On average, CEP participation increased the probability of children's eating free school lunch by 9.3% and daily school attendance by 0.24 percentage points (p < 0.01). We find no evidence that, overall, CEP affected body weight, test scores and household food security among elementary schoolchildren. However, CEP benefited children in low-income families by decreasing the probability of being overweight by 3.1% (p < 0.05) and improving reading scores of Hispanic children by 0.055 standard deviations. UFM expansion can particularly benefit at-risk children and help improve equity in educational and health outcomes.

The Saudi Ministry of Health's Twitter Communication Strategies and Public Engagement During the COVID-19 Pandemic: Content Analysis Study.

BACKGROUND: During a public health crisis such as the current COVID-19 pandemic, governments and health authorities need quick and accurate methods of communicating with the public. While social media can serve as a useful tool for effective communication during disease outbreaks, few studies have elucidated how these platforms are used by the Ministry of Health (MOH) during disease outbreaks in Saudi Arabia. OBJECTIVE: Guided by the Crisis and Emergency Risk Communication model, this study aimed to explore the MOH's use of Twitter and the public's engagement during different stages of the COVID-19 pandemic in Saudi Arabia. METHODS: Tweets and corresponding likes and retweets were extracted from the official Twitter account of the MOH in Saudi Arabia for the period of January 1 through August 31, 2020. Tweets related to COVID-19 were identified; subsequently, content analysis was performed, in which tweets were coded for the following message types: risk messages, warnings, preparations, uncertainty reduction, efficacy, reassurance, and digital health responses. Public engagement was measured by examining the numbers of likes and retweets. The association between outbreak stages and types of messages was assessed, as well as the effect of these messages on public engagement. RESULTS: The MOH posted a total of 1393 original tweets during the study period. Of the total tweets, 1293 (92.82%) were related to COVID-19, and 1217 were ultimately included in the analysis. The MOH posted the majority of its tweets (65.89%) during the initial stage of the outbreak. Accordingly, the public showed the highest level of engagement (as indicated by numbers of likes and retweets) during the initial stage. The types of messages sent by the MOH significantly differed across outbreak stages, with messages related to uncertainty reduction, reassurance, and efficacy being prevalent among all stages. Tweet content, media type, and crisis stage influenced the level of public engagement. Engagement was negatively associated with the inclusion of hyperlinks and multimedia files, while higher level of public engagement was associated with the use of hashtags. Tweets related to warnings, uncertainty reduction, and reassurance received high levels of public engagement. CONCLUSIONS: This study provides insights into the Saudi MOH's communication strategy during the COVID-19 pandemic. Our results have implications for researchers, governments, health organizations, and practitioners with regard to their communication practices during outbreaks. To increase public engagement, governments and health authorities should consider the public's need for information. This, in turn, could raise public awareness regarding disease outbreaks.

The Framing of COVID-19 in Italian Media and Its Relationship with Community Mobility: A Mixed-Method Approach.

Media framing of epidemics was found to influence public perceptions and behaviors in experiments, yet no research has been conducted on real-world behaviors during public health crises. We examined the relationship between Italian news media coverage of COVID-19 and compliance with stay-at-home orders, which could impact the spread of epidemics. We used a computational method for framing analysis (ANTMN) and combined it with Google's Community Mobility data. A time-series analysis using vector autoregressive models showed that the Italian media used media frames that were largely congruent with ones used by journalists in other countries: A scientific frame focusing on symptoms and health effects, a containment frame focusing on attempts to ameliorate risks, and a social frame, focusing on political and social impact. The prominence of different media frames over time was associated with changes in Italians' mobility patterns. Specifically, we found that the social frame was associated with increased mobility, whereas the containment frame was associated with decreased mobility. The results demonstrate that the ways the news media discuss epidemics can influence changes in community mobility, above and beyond the effect of the number of deaths per day.

Why communities must be at the centre of the Coronavirus disease 2019 response: Lessons from Ebola and human immunodeficiency virus in Africa.

As the Coronavirus disease 2019 (COVID-19) pandemic has spread globally, with no effective treatment or vaccine yet available, governments in many countries have put in place social interventions to control the outbreak. The various lockdown measures may have devastating impacts on economies and livelihoods. This approach risks undermining public trust in government responses and therefore undermines efforts to promote behaviour change, which is key to the success of social interventions. Important lessons can be drawn from past Ebola outbreaks and the human immunodeficiency virus pandemic on how communities should be central to COVID-19 responses. Communities are complex and only their members can inform public health experts about their lived realities, the community's understanding of the outbreak and what will work locally to reduce transmission. The public should be encouraged to take positive actions to ensure their own health and well-being, rather than made to feel powerless. Communities should be supported to develop their own response plans, community leaders should be recognised as vital assets, community representatives should have equal inclusion in strategic meetings and greater empathy should be built into decision-making processes.

Association of race, ethnicity, and community-level factors with COVID-19 cases and deaths across U.S. counties.

The United States currently has one of the highest numbers of cumulative COVID-19 cases globally, and Latino and Black communities have been disproportionately affected. Understanding the community-level factors that contribute to disparities in COVID-19 case and death rates is critical to developing public health and policy strategies. We performed a cross-sectional analysis of U.S. counties and found that a 10% point increase in the Black population was associated with 324.7 additional COVID-19 cases per 100,000 population and 14.5 additional COVID-19 deaths per 100,000. In addition, we found that a 10% point increase in the Latino population was associated with 293.5 additional COVID-19 cases per 100,000 and 7.6 additional COVID-19 deaths per 100,000. Independent predictors of higher COVID-19 case rates included average household size, the share of individuals with less than a high school diploma, and the percentage of foreign-born non-citizens. In addition, average household size, the share of individuals with less than a high school diploma, and the proportion of workers that commute using public transportation independently predicted higher COVID-19 death rates within a community. After adjustment for these variables, the association between the Latino population and COVID-19 cases and deaths was attenuated while the association between the Black population and COVID-19 cases and deaths largely persisted. Policy efforts must seek to address the drivers identified in this study in order to mitigate disparities in COVID-19 cases and deaths across minority communities.

Engaging the communities in Wuhan, China during the COVID-19 outbreak.

During the early stage of the COVID-19 outbreak in Wuhan, the lockdown of the densely-populated metropolis caused panic and disorderly behavior among its population. Community governance systems (CGSs) were mobilized to lead community engagement to address the challenges and issues brought about by the sudden quarantine measures, still unprecedented in any part of the world during that time. This commentary aims to describe and analyze the roles of the CGSs, its implementation of culturally-tailored strategies and the performance of new functions as called for by the outbreak. We will introduce the community governance structure which has two parallel administrative units of government including the branches of the Communist Party of China (CPC). The pandemic showed that the roles of the CGSs evolved and may continue to be improved in the future. It is important to engage the community and to have community-based approaches in addressing issues brought about by lockdowns. This community experience in Wuhan provides important lessons for the rest of the world.