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In 2019, the Pan American Health Organization approved a regional policy known as the Plan of Action for Strengthening Information Systems for Health 2019-2023, the design of which is the subject of this article. This analysis was carried out from the point of view of the development of the plan of action, as well as its implementation, in the light of the theoretical concepts of Harold Lasswell and Charles Lindblom. In the study of this policy, consideration was given to context, focus on problems, diversity, and the variety of methods used. The impartial search for the public interest, design of practical policies, needs of public officials, and provision of recommendations are discussed. The policy can be implemented regardless of the administrative configuration of countries and territories, or the political power that other institutions may exercise. Its design is oriented toward universal access to health services in the countries of the Americas, taking into account cultural and linguistic diversity, including indigenous populations, which shows that it was contextualized for a region with high rates of inequities.

BACKGROUND: The sustainable development goals (SDGs) have generated momentum for global health, aligning efforts from governments and international organisations toward a set of goals that are expected to reflect improvements in life conditions across the globe. Mexico has huge social inequalities that can affect access to quality care and health outcomes. The objective of this study is to analyse inequalities among Mexico's 32 states on the health-related SDG indicators (HRSDGIs) from 1990 to 2017. METHODS: These analyses rely on the estimation of HRSDGIs as part of the Global Burden of Disease study 2017. We estimated the concentration index for 40+3 HRSDGI stratified by Socio-demographic Index and marginalisation index, and then for indicators where inequalities were identified, we ran decomposition analyses using structural variables such as gross domestic product per capita, poverty and health expenditure. FINDINGS: Mexico has made progress on most HRSDGIs, but current trends in improvement do not appear to fast enough to meet 2030 targets. Out of 43 HRSDGIs, we identified evidence of inequality between Mexico's states for 30 indicators; of those, 23 HRSDGIs were unequal distributed affecting states with lower development and seven affecting states with higher development. The decomposition analysis indicates that social determinants of health are major drivers of HRSDGI inequalities in Mexico. INTERPRETATION: Modifying current trends for HRSDGIs will require subnational-level and national-level policy action, of which should be informed by the latest available data and monitoring on the health-related SDGs. The SDGs' overarching objective of leaving no-one behind should be prioritised not only for individuals but also for communities and other subnational levels.

Background: An infodemic is an overabundance of information—some accurate and some not—that occurs during an epidemic. In a similar manner to an epidemic, it spreads between humans via digital and physical information systems. It makes it hard for people to find trustworthy sources and reliable guidance when they need it. Objective: A World Health Organization (WHO) technical consultation on responding to the infodemic related to the coronavirus disease (COVID-19) pandemic was held, entirely online, to crowdsource suggested actions for a framework for infodemic management. Methods: A group of policy makers, public health professionals, researchers, students, and other concerned stakeholders was joined by representatives of the media, social media platforms, various private sector organizations, and civil society to suggest and discuss actions for all parts of society, and multiple related professional and scientific disciplines, methods, and technologies. A total of 594 ideas for actions were crowdsourced online during the discussions and consolidated into suggestions for an infodemic management framework. Results: The analysis team distilled the suggestions into a set of 50 proposed actions for a framework for managing infodemics in health emergencies. The consultation revealed six policy implications to consider. First, interventions and messages must be based on science and evidence, and must reach citizens and enable them to make informed decisions on how to protect themselves and their communities in a health emergency. Second, knowledge should be translated into actionable behavior-change messages, presented in ways that are understood by and accessible to all individuals in all parts of all societies. Third, governments should reach out to key communities to ensure their concerns and information needs are understood, tailoring advice and messages to address the audiences they represent. Fourth, to strengthen the analysis and amplification of information impact, strategic partnerships should be formed across all sectors, including but not limited to the social media and technology sectors, academia, and civil society. Fifth, health authorities should ensure that these actions are informed by reliable information that helps them understand the circulating narratives and changes in the flow of information, questions, and misinformation in communities. Sixth, following experiences to date in responding to the COVID-19 infodemic and the lessons from other disease outbreaks, infodemic management approaches should be further developed to support preparedness and response, and to inform risk mitigation, and be enhanced through data science and sociobehavioral and other research. Conclusions: The first version of this framework proposes five action areas in which WHO Member States and actors within society can apply, according to their mandate, an infodemic management approach adapted to national contexts and practices. Responses to the COVID-19 pandemic and the related infodemic require swift, regular, systematic, and coordinated action from multiple sectors of society and government. It remains crucial that we promote trusted information and fight misinformation, thereby helping save lives. ; peer-reviewed