Definition

Emerging Infectious Diseases (EIDs) are infections that have newly appeared in a population or have existed but are rapidly increasing in incidence or geographic range. EIDs include diseases caused by previously unknown pathogens, known pathogens in new locations, or known pathogens evolving new traits (e.g., drug resistance).


Importance in Science

  • Understanding Pathogen Evolution: EIDs drive research in virology, bacteriology, and epidemiology to track mutations, recombination, and adaptation.
  • Public Health Preparedness: Scientific study of EIDs informs vaccine development, diagnostic tools, and outbreak response strategies.
  • Interdisciplinary Collaboration: EIDs require input from genetics, ecology, data science, and social sciences to model outbreaks and predict future threats.
  • Antimicrobial Resistance: EIDs often involve pathogens that develop resistance to current treatments, prompting research into new drugs and therapies.

Impact on Society

  • Health Burden: EIDs can cause widespread illness and death, overwhelming healthcare systems (e.g., COVID-19 pandemic).
  • Economic Disruption: Outbreaks can halt trade, travel, and productivity, leading to recession and unemployment.
  • Social Change: EIDs influence social behavior, public policy, and global cooperation. Quarantines, mask mandates, and vaccination campaigns reshape daily life.
  • Psychological Effects: Fear, stigma, and misinformation can spread alongside the disease, affecting mental health and community trust.

Recent Breakthroughs

  • mRNA Vaccine Technology: The rapid development and deployment of mRNA vaccines (e.g., Pfizer-BioNTech, Moderna) for COVID-19 represent a major advance in response to EIDs.
  • Wastewater Surveillance: Monitoring sewage for viral RNA (e.g., SARS-CoV-2) enables early detection of outbreaks at the community level.
  • Genomic Epidemiology: Real-time sequencing of pathogen genomes helps trace transmission chains and identify variants.
  • Artificial Intelligence in Outbreak Prediction: Machine learning models analyze global health data to forecast potential EID hotspots.
  • CRISPR-based Diagnostics: New tools use gene editing technologies for rapid, sensitive detection of emerging pathogens.

Citation:
Gardy, J.L., & Loman, N.J. (2020). Towards a genomics-informed, real-time, global pathogen surveillance system. Nature Reviews Genetics, 21(6), 355–372.
https://www.nature.com/articles/s41576-020-0237-2


Memory Trick

Remember the “NEW” Rule for EIDs:

  • N: Newly identified pathogen
  • E: Existing pathogen with new traits or in a new location
  • W: Widespread increase in incidence

Think: “Emerging infections are always bringing something NEW to the table.”


Connection to Technology

  • Data Analytics: Big data platforms process epidemiological information for rapid response.
  • Mobile Health Apps: Track symptoms, exposures, and vaccination status; enable contact tracing.
  • Telemedicine: Ensures healthcare delivery during outbreaks when physical distancing is necessary.
  • Genomic Sequencing: Portable sequencers (e.g., Oxford Nanopore) allow field detection of pathogens.
  • Quantum Computing: Potential future applications in modeling complex biological systems and predicting pathogen evolution.

FAQ Section

Q1: What causes a disease to be classified as “emerging”?
A: A disease is considered emerging if it is new to humans, increasing in incidence or geographic range, or showing new traits (e.g., resistance).

Q2: Why do EIDs seem to be increasing in recent decades?
A: Factors include globalization, urbanization, climate change, increased human-wildlife contact, and antimicrobial resistance.

Q3: How do scientists detect new infectious diseases?
A: Through surveillance networks, genomic sequencing, clinical reporting, and environmental sampling (e.g., wastewater).

Q4: What role does technology play in managing EIDs?
A: Technology enables rapid diagnostics, real-time data sharing, outbreak modeling, and remote healthcare delivery.

Q5: Are all EIDs caused by viruses?
A: No. EIDs can be caused by bacteria, fungi, parasites, or prions, though viruses are common due to their rapid mutation rates.

Q6: How can society prepare for future EIDs?
A: By investing in surveillance, research, healthcare infrastructure, public education, and international cooperation.

Q7: What is the significance of genomic epidemiology in EIDs?
A: It allows tracking of pathogen evolution, transmission routes, and identification of variants, informing public health decisions.

Q8: How did COVID-19 change the approach to EIDs?
A: Accelerated vaccine development, expanded global data sharing, and highlighted the need for preparedness and equity in healthcare.


Societal and Scientific Challenges

  • Global Inequality: Access to diagnostics, treatments, and vaccines varies widely.
  • Misinformation: Social media can amplify false information, hindering effective response.
  • Environmental Change: Deforestation and climate shifts alter habitats, increasing zoonotic spillover.
  • Policy Coordination: International cooperation is needed to manage cross-border outbreaks.

Case Study: COVID-19

  • Emergence: SARS-CoV-2 identified in late 2019; rapid global spread in 2020.
  • Scientific Response: Unprecedented collaboration led to vaccine development in under a year.
  • Societal Impact: Lockdowns, remote work, and shifts in healthcare delivery.
  • Technological Role: Genomic tracking, AI-based modeling, and telemedicine became standard.

How Quantum Computing Relates

Quantum computers, using qubits that can be both 0 and 1 simultaneously, promise to revolutionize modeling of complex biological systems. In EIDs, quantum algorithms could simulate protein folding, viral mutation patterns, and large-scale epidemiological models faster than classical computers, aiding in drug discovery and outbreak prediction.


Key Takeaways

  • EIDs are a critical area of study due to their unpredictable nature and profound impact.
  • Scientific advances and technology are central to detection, response, and prevention.
  • Societal resilience depends on preparedness, accurate information, and equitable access to healthcare.
  • Continued research and innovation are essential for managing current and future threats.

Further Reading

  • World Health Organization: Emerging diseases
  • CDC: Emerging Infectious Diseases Journal
  • Gardy & Loman (2020), Nature Reviews Genetics