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Displaying 11 of about 11 resultsThis paper captures, identifies , and describes the patterns of longitudinal risk communication from public health communicating agencies on Twitter during the first 60 days of the response to the novel coronavirus disease 2019 (COVID-19) pandemic. They collected 138,546 tweets from 696 targeted accounts from February 1 to March 31,2020, employing…
This research characterizes risk communication patterns by analyzing public discourse on the novel coronavirus in four Asian countries that suffered outbreaks of varying degrees of severity: South Korea, Iran, Vietnam, and India. The novel coronavirus disease (hereafter COVID-19) caused by severe acute respiratory coronavirus 2 (SARS-CoV-2) has cau…
This study aims to address the question of how to optimize risk messages for diffusion across networks and, as a result, increase message exposure. In this study the researchers add to this growing body of research by identifying message-level strategies to increase message passing during high-ambiguity events. Social media platforms like Twitter and Fa…
In this research, the authors examine message features shown in prior disasters to increase or decrease message retransmission under imminent threat conditions to develop models of official risk communicators’ messages shared online from February 1, 2020-April 30, 2020. They develop a lexicon of keywords associated with risk communication about th…
This paper investigates how message construction, style, content, and the textual content of embedded images impacted message retransmission over the course of the first 8 months of the coronavirus disease 2019 (COVID-19) pandemic in the United States.The paper concludes that during an infodemic, with misinformation and disinformation surging and swirli…
This paper examines the role of outbreak information sources through four domains: knowledge, attitudes, beliefs, and stigma related to the 2014 Ebola virus disease (EVD) outbreak. Given the ongoing and unpredictable threat to human health posed by recent emerging infectious diseases (EID), the appearance and exportation of future novel pathogens i…
This report summarizes the results from ASEF Public Health Network's workshop, “Risk Communications for Public Health Emergencies: What to Learn from Real-life Events”, held on 2-3 October 2014, in Oslo, Norway. The report elaborates on the 3 presentations of real-life public health emergencies in recent years: Christchurch earthquake in 2011; SARS (200…
Ofrecer nuevas fuentes de información sobre Reducción del Riesgo de Desastres (RRD) es uno de los objetivos en los que trabaja continuamente RELACIGER, una Red de centros de información especializados en el tema que presenta en esta edición dos nuevos recursos accesibles al público en general. Otras noticias del boletín incluyen información de cursos, n…
Trusted, accurate, simple, and widely shared risk information saves lives, particularly when it reaches ‘the last mile’ and is used by vulnerable communities. This is the case in all communities, countries and disasters, including during the current COVID-19 pandemic.
However, several weeks into this global crisis, it is also clear that a ‘parallel un…
The goal of this report is to take stock of the early behavioural sciences literature on COVID-19 misinformation. Specifically, this report addresses the following three main question: (1) Who was most likely to believe or share COVID-19 misinformation? (2) What were the consequences of being exposed to or believing COVID-19 misinformation? (3) Which be…
The study analyzes middle- and long-term trends in the domains of environment, technology and society in respect to their challenges, chances and implications for civil protection and disaster management. The analysis examined twelve trends: climate change, metropolization, pandemics, resource scarcity, "big data", unmanned systems, new media, mobility,…