Elaboration of a new framework for fine-grained epidemiological annotation

Valentin, Sarah; Arsevska, Elena; Aline, Vilain; Waele, Valérie De; Lancelot, Renaud; Roche, Mathieu

doi:10.1038/s41597-022-01743-2

Cited by 3 publications

(5 citation statements)

References 23 publications

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“…When correctly identified, the detection of zoonotic events in humans is highly relevant from a health perspective. The automatic fine-grained topic classification of news reports still needs improvement to enable discrimination of outbreak declarations from other topics, thus avoiding false alerts and facilitating the triage of sanitary information [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

Dissemination of information in event-based surveillance, a case study of Avian Influenza

Valentin,

Boudoua,

Sewalk

et al. 2023

PLoS ONE

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Event-Based Surveillance (EBS) tools, such as HealthMap and PADI-web, monitor online news reports and other unofficial sources, with the primary aim to provide timely information to users from health agencies on disease outbreaks occurring worldwide. In this work, we describe how outbreak-related information disseminates from a primary source, via a secondary source, to a definitive aggregator, an EBS tool, during the 2018/19 avian influenza season. We analysed 337 news items from the PADI-web and 115 news articles from HealthMap EBS tools reporting avian influenza outbreaks in birds worldwide between July 2018 and June 2019. We used the sources cited in the news to trace the path of each outbreak. We built a directed network with nodes representing the sources (characterised by type, specialisation, and geographical focus) and edges representing the flow of information. We calculated the degree as a centrality measure to determine the importance of the nodes in information dissemination. We analysed the role of the sources in early detection (detection of an event before its official notification) to the World Organisation for Animal Health (WOAH) and late detection. A total of 23% and 43% of the avian influenza outbreaks detected by the PADI-web and HealthMap, respectively, were shared on time before their notification. For both tools, national and local veterinary authorities were the primary sources of early detection. The early detection component mainly relied on the dissemination of nationally acknowledged events by online news and press agencies, bypassing international reporting to the WAOH. WOAH was the major secondary source for late detection, occupying a central position between national authorities and disseminator sources, such as online news. PADI-web and HealthMap were highly complementary in terms of detected sources, explaining why 90% of the events were detected by only one of the tools. We show that current EBS tools can provide timely outbreak-related information and priority news sources to improve digital disease surveillance.

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Section: Discussionmentioning

confidence: 99%

Dissemination of information in event-based surveillance, a case study of Avian Influenza

Valentin,

Boudoua,

Sewalk

et al. 2023

PLoS ONE

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“…Among the 10 candidate papers included for this year's selection process, two best papers were selected, as depicted in Table 2. We considered the study by Valentin and colleagues [11] to be perfectly in line with the special topic of this year's IMIA Yearbook, namely "One Digital Health". It describes a framework for the annotation of epidemiological information in animal disease-related news articles.…”

Section: Selected Papersmentioning

confidence: 98%

“…Of the 539 papers retrieved from PubMed, 10 articles were selected for a detailed evaluation. These 10 articles focused mainly on the following issues: (i) the use of social networks to study public health phenomena [1,6], such as the impact of pollution on human health as addressed by Ji et al [6], and parents' attitudes to vaccination as influenced by social networks [1]; (ii) the use of machine learning and deep learning, in particular for prediction strategies [4,9,10,13,14]; (iii) the coupling of a health registry and semantic approaches to identify trajectory patterns leading to certain pathologies; and finally (iv), the use of Natural Language Processing approaches over free text datasets to address public health issues [5,11]. As in previous years, we noted a preponderance of machine learning approaches to address different PHEI questions.…”

Section: Overall Observationmentioning

confidence: 99%

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Broad Trends in Public Health and Epidemiology Informatics

Diallo,

Bordea,

Samieri

2023

Yearb Med Inform

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Objectives: The objective of this study is to highlight innovative research and contemporary trends in the area of Public Health and Epidemiology Informatics (PHEI). Methods: Following a similar approach to last year's edition, a meticulous search was conducted on PubMed (with keywords including topics related to Public Health, Epidemiological Surveillance and Medical Informatics), examining a total of 2,022 scientific publications on Public Health and Epidemiology Informatics (PHEI). The resulting references were thoroughly examined by the three section editors. Subsequently, 10 papers were chosen as potential candidates for the best paper award. These selected papers were then subjected to peer-review by six external reviewers, in addition to the section editors and two chief editors of the IMIA yearbook of medical informatics. Each paper underwent a total of five reviews. Results: Out of the 539 references retrieved from PubMed, only two were deemed worthy of the best paper award, although four papers had the potential to qualify in total. The first best paper by pertains to a study about the need for a new annotation framework due to inadequacies in existing methods and resources. The second paper elucidates the use of Weibo data to monitor the health of Chinese urbanites. The correlation between air pollution and health sensing was measured via generalized additive models. Conclusions: One of the primary findings of this edition is the dearth of studies identified for the PHEI section, which represents a significant decline compared to the previous edition. This is particularly surprising given that the post-COVID period should have led to an increased use of information and communication technology for public health issues.

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“…Among the two best papers presented by Georgeta Bordea, Gayo Diallo and Cécilia Samieri, the editors of the Public Health and Epidemiology Informatics (PHEI) section [32], the paper from Valentin et al [33] was linked to the One Health topic, more precisely to the annotation of news articles containing epidemiological information on animal diseases. Following on from the theme of the previous yearbook, He et al have carried out a review of recent works which take account of the social determinants of health to promote equity in health [34].…”

Section: One Health and Medical Informaticsmentioning

confidence: 99%

Informatics for One Health

Hollis,

Mougin,

Soualmia

2023

Yearb Med Inform

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Objectives: To introduce the 2023 International Medical Informatics Association (IMIA) Yearbook by the editors. Methods: The editorial provides an introduction and overview to the 2023 IMIA Yearbook where the special topic is “Informatics for One Health”. The special topic, survey papers and some best papers are discussed. The section changes in the Yearbook editorial committee are also described. Results: IMIA Yearbook 2023 provides many perspectives on a relatively new topic called “One Digital Health”. The subject is vast, and includes the use of digital technologies to promote the well-being of people and animals, but also of the environment in which they evolve. Many sections produced new work in the topic including One Health and all sections included the latest themes in many specialties in medical informatics. Conclusions: The theme of “Informatics for One Health” is relatively new but the editors of the IMIA Yearbook have presented excellent and thought-provoking work for biomedical informatics in 2023.

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Elaboration of a new framework for fine-grained epidemiological annotation

Cited by 3 publications

References 23 publications

Dissemination of information in event-based surveillance, a case study of Avian Influenza

Dissemination of information in event-based surveillance, a case study of Avian Influenza

Broad Trends in Public Health and Epidemiology Informatics

Informatics for One Health

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