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Outbreak analytics: a developing data science for informing the response to emerging pathogens.

Jonathan A Polonsky1,2, Amrish Baidjoe3, Zhian N Kamvar3

  • 11 Department of Health Emergency Information and Risk Assessment, World Health Organization , Avenue Appia 20, 1211 Geneva , Switzerland.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
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Summary
This summary is machine-generated.

Outbreak analytics, a data science approach, enhances the timely response to emerging pathogen epidemics by improving data collection, analysis, and reporting. This field offers crucial insights for effective public health interventions during disease outbreaks.

Keywords:
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Area of Science:

  • Public Health
  • Data Science
  • Epidemiology

Background:

  • Emerging pathogen epidemics pose a significant global public health challenge, necessitating improved health system responses.
  • Effective outbreak response depends on timely interventions informed by diverse data sources.
  • Increasing data complexity requires advanced analytical methods for timely decision-making.

Purpose of the Study:

  • To assess the current state of outbreak analytics, an emerging data science field.
  • To critically review the components, interdependencies, and data requirements of outbreak analytics.
  • To discuss the challenges, opportunities, and potential of outbreak analytics in improving responses to emerging pathogen outbreaks.

Main Methods:

  • Review of common analytics components within the outbreak data pipeline.
  • Analysis of data requirements and information output for real-time operational support.
  • Discussion of interdependencies between different analytical elements.

Main Results:

  • Outbreak analytics integrates data collection, analysis, modeling, and reporting for outbreak response.
  • Various analytical components provide critical information for real-time operational decision-making.
  • The field faces challenges but presents opportunities for enhanced understanding and response.

Conclusions:

  • Outbreak analytics is vital for improving the understanding and response to emerging pathogen outbreaks.
  • The integration of data science methodologies is key to managing complex outbreak data.
  • Continued development in outbreak analytics can significantly bolster global health security.