ABSTRACT
INTRODUCTION: The 2013-2015 outbreak of Ebola was by far the largest to date, affecting Guinea, Liberia, Sierra Leone, and secondarily, Nigeria, Senegal and the United States. Such an event raises questions about the circulation of health information across social networks. This article presents an analysis of tweets concerning a specific theme: the sexual transmission of the virus by survivors, at a time when there was a great uncertainty about the duration and even the possibility of such transmission. METHODS: This article combines quantitative and qualitative analysis. From a sample of 50,000 tweets containing the words "Ebola" in French and English, posted between March 15 and November 8, 2014, we created a graphic representation of the number of tweets over time, and identified two peaks: the first between July 27 and August 16, 2014 (633 tweets) and the second between September 28 and November 8, 2014 (2,577 tweets). This sample was divided into two parts, and every accessible publication was analyzed and coded according to the authors' objectives, feelings expressed and/or publication type. RESULTS: While the results confirm the significant role played by mainstream media in disseminating information, media did not create the debate around the sexual transmission of Ebola and Twitter does not fully reflect mainstream media contents. Social media rather work like a "filter": in the case of Ebola, Twitter preceded and amplified the debate with focusing more than the mainstream media on the sexual transmission, as expressed in jokes, questions and criticism. DISCUSSION: Online debates can of course feed on journalistic or official information, but they also show great autonomy, tinged with emotions or criticisms. Although numerous studies have shown how this can lead to rumors and disinformation, our research suggests that this relative autonomy makes it possible for Twitter users to bring into the public sphere some types of information that have not been widely addressed. Our results encourage further research to understand how this "filter" works during health crises, with the potential to help public health authorities to adjust official communications accordingly. Without a doubt, the health authorities would be well advised to put in place a special watch on the comments circulating on social media (in addition to that used by the health monitoring agencies).
ABSTRACT
The French contribution to global public health over the past two centuries has been marked by a fundamental tension between two approaches: State-provided universal free health care and what we propose to call State humanitarian verticalism. Both approaches have historical roots in French colonialism and have led to successes and failures that continue until the present day. In this paper, the second in The Lancet's Series on France, we look at how this tension has evolved. During the French colonial period (1890s to 1950s), the Indigenous Medical Assistance structure was supposed to bring metropolitan France's model of universal and free public health care to the colonies, and French State imperial humanitarianism crystallised in vertical programmes inspired by Louis Pasteur, while vying with early private humanitarian activism in health represented by Albert Schweitzer. From decolonisation to the end of the Cold War (1960-99), French assistance to newly independent states was affected by sans frontièrisme, Health for All, and the AIDS pandemic. Since 2000, France has had an active role in development of global health initiatives and favoured multilateral action for health assistance. Today, with adoption of the 2030 Sustainable Development Goals and the challenges of non-communicable diseases, economic inequality, and climate change, French international health assistance needs new direction. In the context of current debate over global health as a universal goal, understanding and acknowledging France's history could help strengthen advocacy in favour of universal health coverage and contribute to advancing global equity through income redistribution, from healthy populations to people who are sick and from wealthy individuals to those who are poor.