The 2024 Amendments to the International Health Regulations: A New Era for Global Health Law in Pandemic Preparedness and Response?

On June 1, 2024, the World Health Assembly reached consensus on a package of amendments to the 2005 International Health Regulations (IHR). These amendments follow nearly two decades of implementation and an intensive multilateral process prompted by the global struggle against COVID-19. This article critically examines whether the amended IHR reflect lessons learned from the pandemic, potentially ushering in a new era for global health law in pandemic preparedness and response, or if they deflect attention from the need for deeper structural reforms.

A Survey on Online Political Participation, Social Capital, and Well-Being in Social Media Users-Based on the Second Phase of the Third (2019) TCS Taiwan Communication Survey Database.

This study focused on the frequency of social media use. Through investigating and verifying the correlations between social media use frequency, online political participation, and social capital, we derived two models of socialization that affect citizen well-being and, accordingly, proposed strategic suggestions for democratic society construction and network management. This study drew upon the 2019 Taiwan Communication Survey database and used structural equation modeling (SEM) as a statistical method to explore the causal relationship between these four variables (social media use, online political participation, social capital and well-being).

Differences in Child Health Across Rural, Urban, and Slum Areas: Evidence From India.

The developing world is rapidly urbanizing, but an understanding of how child health differs across urban and rural areas is lacking. We examine the association between area of residence and child health in India, focusing on composition and selection effects. Simple height-for-age averages show that rural Indian children have the poorest health and urban children have the best, with slum children in between.

The wisdom of crowds in action: Forecasting epidemic diseases with a web-based prediction market system.

Background: The quest for an effective system capable of monitoring and predicting the trends of epidemic diseases is a critical issue for communities worldwide. With the prevalence of Internet access, more and more researchers today are using data from both search engines and social media to improve the prediction accuracy. In particular, a prediction market system (PMS) exploits the wisdom of crowds on the Internet to effectively accomplish relatively high accuracy.

Using prediction markets of market scoring rule to forecast infectious diseases: a case study in Taiwan.

Background: The Taiwan CDC relied on the historical average number of disease cases or rate (AVG) to depict the trend of epidemic diseases in Taiwan. By comparing the historical average data with prediction markets, we show that the latter have a better prediction capability than the former. Given the volatility of the infectious diseases in Taiwan, historical average is unlikely to be an effective prediction mechanism.

Risk perception, risk management and vulnerability to landslides in the hill slopes in the city of La Paz, Bolivia. A preliminary statement.

The article begins by describing the difficult living conditions of many people in the hill slopes (laderas) of La Paz, Bolivia, demonstrating that they are exposed to a combination of natural and social hazards. It shows that residents, community leaders and city planners tend to underestimate or deny risk, with important consequences for risk management, such as a failure to raise risk awareness. The article then proposes some hypotheses to explain risk perceptions in La Paz, discarding the usual single-approach interpretations and suggesting instead more nuanced theoretical explanations to account for why people build their homes in such hazardous environments.