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Steps in Outbreak Investigation

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
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Related Experiment Video

Updated: Dec 23, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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Disease emergence and invasions.

Melanie J Hatcher1,2, Jaimie T A Dick3, Alison M Dunn1

  • 1School of Biological Sciences University of Leeds Leeds UK.

Functional Ecology
|April 22, 2020
PubMed
Summary

Emerging infectious diseases (EIDs) are akin to biological invasions, sharing many ecological drivers and phases. Understanding these parallels can improve prediction and management of novel disease outbreaks.

Keywords:
emerging infectious diseasehost jumphost switchintroduced speciesinvasive speciesparasiteparasite‐mediatedworld's worst invaders

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Area of Science:

  • Ecology
  • Epidemiology
  • Conservation Biology

Background:

  • Emerging infectious diseases (EIDs) pose significant global threats to human health, food security, wildlife, and biodiversity.
  • Biological invasions and disease emergence share common ecological and anthropogenic drivers, including environmental change and global transport.
  • Disease is a notable impact factor for nearly a quarter of species on the IUCN's list of invasive species.

Purpose of the Study:

  • To compare conceptual models of disease emergence with general models of biological invasions.
  • To identify shared and distinct processes, drivers, and phases between disease emergence and biological invasions.
  • To explore how insights from invasion biology can enhance the prediction, control, and management of EIDs.

Main Methods:

  • Comparative analysis of conceptual models for disease emergence and biological invasions.
  • Review of the IUCN's list of invasive species to identify disease as an impact driver.
  • Examination of ecological and anthropogenic factors influencing both phenomena.

Main Results:

  • Disease emergence in new hosts is analogous to parasite invasions, sharing early and late-phase drivers like demographics and human activity.
  • Intermediate phases differ due to host-parasite co-evolution's role in parasite establishment.
  • Shared control and management opportunities exist, with host immune responses offering additional EID control strategies.

Conclusions:

  • Cross-disciplinary insights between disease emergence and invasion biology can improve prediction and management strategies.
  • Understanding invasion dynamics offers a framework for addressing EID outbreaks.
  • Exploiting host immunity presents unique avenues for controlling EIDs.