Gotowa bibliografia na temat „Infodémiologie”
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Artykuły w czasopismach na temat "Infodémiologie"
Renne, S., T. Marty, P. Voillot, P. Foulquié, A. Mebarki i S. Schück. "Analyse des réseaux sociaux pour identifier les motifs de l’hésitation vaccinale anti-HPV : une étude infodémiologique". Revue d'Épidémiologie et de Santé Publique 68 (wrzesień 2020): S75. http://dx.doi.org/10.1016/j.respe.2020.04.026.
Pełny tekst źródłaFournet, P., L. Attali i P. Voillot. "IVG médicamenteuse et réseaux sociaux : une nouvelle approche infodémiologique pour une amélioration de la prise en charge". Gynécologie Obstétrique Fertilité & Sénologie 51, nr 1 (styczeń 2023): 103. http://dx.doi.org/10.1016/j.gofs.2022.11.136.
Pełny tekst źródłaCzernichow, S., N. Alrassy, J. Malaab, P. Loussikian, A. Mebarki, T. Poghosyan, G. Fagherrazi, C. Carette, S. Schück i C. Rives-Lange. "Comment la chirurgie bariatrique est-elle perçue par les patients et leurs aidants ? Étude infodémiologique France et États-Unis". Nutrition Clinique et Métabolisme 37, nr 2 (maj 2023): e7. http://dx.doi.org/10.1016/j.nupar.2023.03.008.
Pełny tekst źródłaSchück, S., F. E. Cotté, P. Voillot, B. Falissard, C. Tzourio, P. Foulquié, A. F. Gaudin, H. Lemasson i C. Faviez. "Utilisation des médias sociaux dans l’étude de la qualité de vie des patients atteints de cancer et traités par immunothérapie : une étude infodémiologique". Revue d'Épidémiologie et de Santé Publique 67 (czerwiec 2019): S176—S177. http://dx.doi.org/10.1016/j.respe.2019.04.005.
Pełny tekst źródłaRozprawy doktorskie na temat "Infodémiologie"
Eisenhauer, Catherine. "Applications of digital epidemiology in the study of behavior, opinion, and infectious disease dynamics". Electronic Thesis or Diss., Université Paris Cité, 2021. http://www.theses.fr/2021UNIP5159.
Pełny tekst źródłaThe age of the internet has changed the world before our eyes. It has profoundly impacted the way we interact with information, form relationships, and make decisions. This shift has important and potentially dangerous ramifications for public health, particularly in the context of online misinformation. But it has also given rise to new opportunities through the unprecedented availability of new ecosystems of data and novel methods of data collection. Digital epidemiology is a relatively new branch of public health that seeks to leverage these new sources of information to investigate health related questions. First characterized in the mid 1990s, this nascent field has grown exponentially in the past ten years as new datasets and computational tools have become increasingly accessible. The goal of this thesis is to explore applications of digital epidemiology in the study of opinion, behavior, and infectious disease dynamics. It is structured into three primary sections. In the first, we review tools used in digital epidemiology and their limitations. Taking vaccine hesitancy on Twitter as a case study, we then evaluate methods used in the field of computational social science and discuss how they could be beneficially applied in the context of public health. The second section dives deeper into Twitter and explores the dynamics of resource sharing behavior in vaccine discussions. Here, we find that unreliable resources dominate vaccine hesitant discourse in both prevalence and virality. Moreover, we identify three online domains, Natural News, News Target, and YouTube, that account for nearly half of all resources shared among hesitant communities. In the third section we analyse data from a citizen science survey conducted during the early stages of the SARS-CoV-2 pandemic in France. These analyses describe patterns in behavior and attitude during and after a national lockdown. Associations between the adherence to recommended protective behaviors and factors related to demography, psychology, and perception are explored. Finally, we reflect on possible strategies to combat health misinformation, ethical challenges in digital epidemiology, and the viability of digital epidemiology in broader public health contexts