Article Dans Une Revue The Lancet Digital Health Année : 2024

From the 100 Day Mission to 100 lines of software development: how to improve early outbreak analytics

Zulma Cucunuba
  • Fonction : Auteur
Anne Cori
  • Fonction : Auteur
Sara Hollis
  • Fonction : Auteur
Rolina van Gaalen
  • Fonction : Auteur
Amrish Baidjoe
  • Fonction : Auteur
Alexander Spina
  • Fonction : Auteur
John Lees
  • Fonction : Auteur
Simon Cauchemez
  • Fonction : Auteur
Mauricio Santos
  • Fonction : Auteur
Juan Umaña
  • Fonction : Auteur
Chaoran Chen
  • Fonction : Auteur
Hugo Gruson
Pratik Gupte
  • Fonction : Auteur
Joseph Tsui
  • Fonction : Auteur
Anita Shah
  • Fonction : Auteur
Geraldine Gomez Millan
  • Fonction : Auteur
David Santiago Quevedo
  • Fonction : Auteur
Neale Batra
  • Fonction : Auteur
Andrea Torneri
  • Fonction : Auteur

Résumé

Since the COVID-19 pandemic, considerable advances have been made to improve epidemic preparedness by accelerating diagnostics, therapeutics, and vaccine development. However, we argue that it is crucial to make equivalent efforts in the field of outbreak analytics to help ensure reliable, evidence-based decision making. To explore the challenges and key priorities in the field of outbreak analytics, the Epiverse-TRACE initiative brought together a multidisciplinary group of experts, including field epidemiologists, data scientists, academics, and software engineers from public health institutions across multiple countries. During a 3-day workshop, 40 participants discussed what the first 100 lines of code written during an outbreak should look like. The main findings from this workshop are summarised in this Viewpoint. We provide an overview of the current outbreak analytic landscape by highlighting current key challenges that should be addressed to improve the response to future public health crises. Furthermore, we propose actionable solutions to these challenges that are achievable in the short term, and longer-term strategic recommendations. This Viewpoint constitutes a call to action for experts involved in epidemic response to develop modern and robust data analytic approaches at the heart of epidemic preparedness and response.

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Dates et versions

hal-04912417 , version 1 (26-01-2025)

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Citer

Carmen Tamayo Cuartero, Anna Carnegie, Zulma Cucunuba, Anne Cori, Sara Hollis, et al.. From the 100 Day Mission to 100 lines of software development: how to improve early outbreak analytics. The Lancet Digital Health, 2024, ⟨10.1016/S2589-7500(24)00218-8⟩. ⟨hal-04912417⟩
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