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The literature on the interplay between geographic communities and organizations has largely ignored the role of individual residents. In adopting a meso-perspective, we examine a potentially vital relationship between corporate conduct and pro-social behavior demanding sacrifice from individuals. Drawing on Weber (Economy and society: an outline of interpretive sociology. University of California Press, Berkeley, 1978 (Translation of Wirtschaft und Gesellschaft, Grundriss der verstehenden Soziologie, 1922)), we theorize that organizations in a community legitimize personal social conduct in three ways-by serving as role models, imparting norms and values, and routinizing forms of interaction. We study the relationship between corporate social responsibility (CSR) behavior by local firms and the social distancing (SD) of citizens in US counties during the Covid-19 pandemic, a core ethical outcome. We argue and find that the residents of communities in which firms exhibit higher levels of CSR engaged in more SD during the Covid-19 pandemic. This was true when firms were (a) long-established, (b) isomorphic in their CSR, and (c) major employers and vendors. Moreover, CSR relating to the treatment of employees as well as positive and negative extremes in CSR bore especially strong relationships with SD. Implications are drawn for the study of business ethics, as modeled by CSR, as a force for ethical personal behavior and public health in communities.

Vaccination programmes are considered a main contributor to the decline of infectious diseases over the 20th century. In recent years, the national vaccination coverage in the Netherlands has been declining, highlighting the need for continuous monitoring and evaluation of vaccination programmes. Our aim was to quantify the impact of long-standing vaccination programmes on notified cases in the Netherlands. We collected and digitised previously unavailable monthly case notifications of diphtheria, poliomyelitis, mumps and rubella in the Netherlands over the period 1919–2015. Poisson regression models accounting for seasonality, multi-year cycles, secular trends and auto-correlation were fit to pre-vaccination periods. Cases averted were calculated as the difference between observed and expected cases based on model projections. In the first 13 years of mass vaccinations, case notifications declined rapidly with 82.4% (95% credible interval (CI): 74.9–87.6) of notified cases of diphtheria averted, 92.9% (95% CI 85.0–97.2) cases of poliomyelitis, and 79.1% (95% CI 67.1–87.4) cases of mumps. Vaccination of 11-year-old girls against rubella averted 49.9% (95% CI 9.3–73.5) of cases, while universal vaccination averted 68.1% (95% CI 19.4–87.3) of cases. These findings show that vaccination programmes have contributed substantially to the reduction of infectious diseases in the Netherlands.

With the far-reaching COVID-19 pandemic starting in December 2019, a surge of misinformation, now coined by the World Health Organization (WHO) as an ‘infodemic’, has also taken the world by storm. False information and variations in interpretations about the pandemic and mitigation interventions/strategies continue to spread at a faster pace than the relevant scientific evidence. The WHO has called for a fight against this infodemic, describing it as the most contagious aspect of the pandemic. In this era of rapid information exchange, public health measures, and state interventions to control the pandemic, a contextual understanding of how information is communicated and shared is important for uncovering possible reasons for action or inaction by the general public. With the Lebanese state scrambling to implement and enforce different measures to control and mitigate the spread of COVID-19, adherence by the general public is not uniform. In this paper, we refer to social science and risk communication theory to discuss how the political, economic and social contexts in the country, and not only the content of the messages that people receive from officials, affect how they interpret and act on information. We highlight how this has played out in Lebanon and identify societal aspects of importance in a low-middle income country fraught with social, economic and political inequalities which continue to undermine the efforts to contain the spread. Implications to inform state response in the context of low-middle income countries are also discussed.

Communities are faced with challenges in identifying and prioritizing environmental issues, taking actions to reduce their exposures, and determining their effectiveness for reducing human health risks. Additional challenges include determining what scientific tools are available and most relevant, and understanding how to use those tools; given these barriers, community groups tend to rely more on risk perception than science. The U.S. Environmental Protection Agency's Office of Research and Development, National Exposure Research Laboratory (NERL) and collaborators are developing and applying tools (models, data, methods) for enhancing cumulative risk assessments. The NERL's “Cumulative Communities Research Program” focuses on key science questions: (1) How to systematically identify and prioritize key chemical stressors within a given community?; (2) How to develop estimates of exposure to multiple stressors for individuals in epidemiologic studies?; and (3) What tools can be used to assess community-level distributions of exposures for the development and evaluation of the effectiveness of risk reduction strategies? This paper provides community partners and scientific researchers with an understanding of the NERL research program and other efforts to address cumulative community risks; and key research needs and opportunities. Some initial findings include the following: (1) Many useful tools exist for components of risk assessment, but need to be developed collaboratively with end users and made more comprehensive and user-friendly for practical application; (2) Tools for quantifying cumulative risks and impact of community risk reduction activities are also needed; (3) More data are needed to assess community- and individual-level exposures, and to link exposure-related information with health effects; and (4) Additional research is needed to incorporate risk-modifying factors (“non-chemical stressors”) into cumulative risk assessments. The products of this research program will advance the science for cumulative risk assessments and empower communities with information so that they can make informed, cost-effective decisions to improve public health.