Overview of the course material covered in the midterm with focus on infectious disease dynamics.
Emphasizes the importance of understanding infection transmission and immunity.
Core Rates and Durations:
Infection Rates: 1/rate = average duration in that compartment.
Waning Immunity: Average time of immunity is 1/delta.
Relative Susceptibility:
Individuals infected previously may exhibit reduced susceptibility; ε indicates the degree of susceptibility.
Susceptibilities and transmissibilities gauge from 0 (never susceptible) to 1 (fully susceptible, SIR model).
Transmission Dynamics:
Strength of immunity, non-pharmaceutical interventions (NPIs), and seasonal factors crucial in transmission peaks.
The first infection peak remains unaffected by immunity strength.
Secondary infections can lead to larger peaks due to accumulation and seasonality.
Vaccination Impact:
Durable vaccines reduce severe cases and susceptibility.
Variation in vaccine uptake can affect herd immunity thresholds.
Natural and Vaccine-induced Immunity:
A low viral abundance with natural infection and high immune pressure fosters pathogen adaptation.
High adaptation is evident under intermediate immune pressure.
Diversity and Evolution:
Equity in vaccination uptake influences evolutionary potential.
Fast waning immunity accelerates evolution; low equity causes high evolutionary necessity for boosters.
Accumulation Effects:
Accumulation of immune individuals modifies susceptibility, impacting future infection dynamics.
Variation in Infection Transmission:
Individuals exhibit varied capable transmission, leading to a distribution of infections (Superspreaders).
The 80-20 rule indicates that a small fraction of cases can lead to the majority of transmissions.
Stochastic Models:
Randomness and individual variation critical in disease spread; stochastic processes highlight probabilities in outbreak potential.
Targeting Superspreaders:
More effective to control infections at the superspreader level than through population-wide measures.
Individual-specific controls increase variation in infection potential, effectively reducing spread likelihood.
R0 Relation:
R0 informs control strategy effectiveness—higher R0 requires higher vaccination coverage.
Impact of Vaccination and Antibiotics:
Significant decrease in infectious diseases with antibiotics and vaccines; social conditions continue to play a vital role.
The historical rise of antibiotic resistance emphasizes the need for evolution-aware interventions.
Mechanisms of Resistance:
Plasmid transfer among microbial strains enhances resistance; not limited to pathogens alone.
Agricultural antibiotic use contributes to the development of resistant strains in human pathogens.
Mitigation of Resistance Spread:
Solutions focus on minimizing antibiotic usage and employing multiple drug therapies to counter resistance evolution.
Drug Application Strategies:
Simultaneous multi-drug application considered more effective than sequential approaches in minimizing resistance.
Ongoing exploration for new agents for combating resistance.
Microbiome and Immune System Interactions:
Microbiome critical in shaping immune responses; regulates tolerance and perception of pathogens.
Dysbiosis linked to disease symptoms yet remains complex in causation versus correlation.
Critical Role of Microbiome:
Microbiome composition significantly influences immune responses and susceptibility to infections.
Transplantation Experiments:
Fecal transplants demonstrate the microbiome's role in immune modulation.
Defining Holobionts and Hologenomes:
Emphasizes interdependence between hosts and their microbial communities while recognizing the role of early exposure in immune tolerance development.
Critical Windows of Immune Response:
Timing of microbiome exposure influences immune system education regarding self-versus-non-self recognition.
Implications for Health:
Understanding the microbiome and its interactions with pathogens and the immune system is vital for designing effective interventions.
Further research necessary to clarify roles of microbiota in health and disease management.