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Montāžas Teksta

  • Slidkalniņš: 1
  • Updated line list:Onset datesHospitalization datesContact/Exposure historiesSymptom severity
  • We've started with descriptive epidemiology to analyze the outbreak through time, place, and person to quantify its pattern. These patterns will guide our hypothesis and next research steps
  • The line list and demographic data show most early cases are adult male miners. It shows possible occupational exposure
  • Epidemiologist discusses how the outbreak will be analysed and data analyst discusses demographic findings
  • Slidkalniņš: 2
  • Calculated metrics:Attack rate - 14%Incubation period median - 8 daysCase-fatality ratio 68%
  • The Epi-curve shows rapid case escalation after day 7 which is consistent with point-source spillover plus secondary transmission
  • These quantitative indicators confirm high transmissibility and severe disease progression
  • Research team discuss the epidemiological findings of their research
  • Slidkalniņš: 3
  • For spatial analysis, we’re using GIS mapping as a research tool to detect geographic clustering.
  • Great! This spatial analysis will inform targeted containment and resource allocation.
  • The heatmaps show a primary hotspot around the mine , which may show initial wildlife spillover.
  • Research team discuss disease hotspots which can assist with infection control and resource allocation.
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