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Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
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Mining Social Media to Identify Heat Waves.

Francesca Cecinati1, Tom Matthews2, Sukumar Natarajan3

  • 1Department of Architecture and Civil Engineering, University of Bath, Bath BA2 7AY, UK. f.cecinati@bath.ac.uk.

International Journal of Environmental Research and Public Health
|March 6, 2019
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Social media mining effectively identifies heat wave mortality, outperforming traditional climate data. This approach aids in tracking dangerous heat events, especially in regions with limited mortality data.

Keywords:
Twitter miningheatwaveheatwave definitionsocial media

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Area of Science:

  • Environmental Science
  • Public Health
  • Data Science

Background:

  • Heat waves are increasingly frequent and intense natural hazards due to climate change.
  • A lack of a universal definition for heat waves hinders accurate mortality assessment.
  • Existing methods struggle to link climate data directly to excess mortality.

Purpose of the Study:

  • To test the hypothesis that social media mining can quantify heat wave-related mortality.
  • To develop a novel approach for identifying and tracking dangerous heat wave events.
  • To complement traditional climate indicators with real-time impact data.

Main Methods:

  • Utilized social media mining (specifically, analyzing heat-related tweets) in India.
  • Correlated social media data with heat-related mortality records.
  • Compared the efficacy of social media indicators against traditional climate-based indicators.

Main Results:

  • The number of heat-related tweets strongly correlated with heat-related mortality in India.
  • Social media data proved superior to climate indicators in predicting excess mortality, especially at larger scales.
  • Traditional climate indicators identified numerous heat wave days without corresponding excess mortality.

Conclusions:

  • Social media mining offers a viable method to identify heat wave mortality, complementing climatic data.
  • This approach is particularly valuable for studying heat wave impacts in developing countries with uncertain mortality data.
  • Social media analysis enables real-time tracking of dangerous heat wave events.