SIR Epidemic and Vaccination

Slides:



Advertisements
Similar presentations
Disease emergence in immunocompromised populations Jamie Lloyd-Smith Penn State University.
Advertisements

Epidemics Modeling them with math. History of epidemics Plague in 1300’s killed in excess of 25 million people Plague in London in 1665 killed 75,000.
Immunity Review. Explain how wbc’s can protect the body against disease. Wbc’s produce antibodies and memory cells when a pathogen (antigen) enter the.
Pathogen Virulence: Evolutionary ecology Outline: 29 Jan 15 Functionally Dependent Life-History Traits: Virulence Important Example Pathogen Traits Evolve.
A VERY IMPORTANT CONCEPT Disease epidemiology is first and foremost a population biology problem Important proponents: Anderson, May, Ewald, Day, Grenfell.
Dynamical Models of Epidemics: from Black Death to SARS D. Gurarie CWRU.
Modelling Infectious Disease … And other uses for Compartment Models.
Population dynamics of infectious diseases Arjan Stegeman.
Host population structure and the evolution of parasites
Nik Addleman and Jen Fox.   Susceptible, Infected and Recovered S' = - ßSI I' = ßSI - γ I R' = γ I  Assumptions  S and I contact leads to infection.
Effects of heterogeneity in hosts and pathogens on effectiveness of vaccination Mirjam Kretzschmar RIVM, Department of Infectious Diseases Epidemiology.
Modelling Two Host Strains with an Indirectly Transmitted Pathogen Angela Giafis 20 th April 2005.
Evolution of Parasites and Diseases The Red Queen to Alice: It takes all the running you can do to stay in the same place.
Pathogen adaptation under imperfect vaccination: implications for pertussis Michiel van Boven 1, Frits Mooi 2,3, Hester de Melker 3 Joop Schellekens 3.
HIV in CUBA Kelvin Chan & Sasha Jilkine. Developing a Model S = Susceptible I = Infected Z = AIDS Patients N = S+I = Active Population.
Immunity and pathogen competition Dominik Wodarz Department of Ecology and Evolution 321 Steinhaus Hall University of California, Irvine CA Immune.
How do the basic reproduction ratio and the basic depression ratio determine the dynamics of a system with many host and many pathogen strains? Rachel.
Evolution of Virulence Matthew H. Bonds The François-Xavier Bagnoud Center for Health and Human Rights Harvard School of Public Health Partners in Health.
The role of cross-immunity and vaccines on the survival of less fit flu-strains Miriam Nuño Harvard School of Public Health Gerardo Chowell Los Alamos.
1 The epidemic in a closed population Department of Mathematical Sciences The University of Liverpool U.K. Roger G. Bowers.
Parasitism and Disease Lyme Disease Cycle in the UK.
How does mass immunisation affect disease incidence? Niels G Becker (with help from Peter Caley ) National Centre for Epidemiology and Population Health.
Modeling Epidemics with Differential Equations Ross Beckley, Cametria Weatherspoon, Michael Alexander, Marissa Chandler, Anthony Johnson, Ghan Bhatt.
Modelling the Spread of Infectious Diseases Raymond Flood Gresham Professor of Geometry.
The Politics of Smallpox Modeling Rice University - November 2004 Edward P. Richards, JD, MPH Director, Program in Law, Science, and Public Health Harvey.
 Virulence and Behavior Introduction The co-evolution of humankind and its afflicting diseases is a complex and progressive system that strives toward.
Population Biology: Demographic Models Wed. Mar. 2.
Brandy L. Rapatski Juan Tolosa Richard Stockton College of NJ A Model for the Study of HIV/AIDS.
SIR Epidemic Models CS 390/590 Fall 2009
General Epidemic SIR Transmission Host Birth, Death Purpose: What fraction of hosts must be vaccinated in order to eradicate disease?
V5 Epidemics on networks
KEY CONCEPT Some viral diseases can be prevented with vaccines.
General Epidemic SIR Transmission Plus Host Birth, Death Purpose: What fraction of hosts must be vaccinated in order to eradicate disease?
Modelling infectious diseases Jean-François Boivin 25 October
BASICS OF EPIDEMIC MODELLING Kari Auranen Department of Vaccines National Public Health Institute (KTL), Finland Division of Biometry, Dpt. of Mathematics.
Lecture 15 Evolution of virulence I. Today and next class: Midterm next Thursday. The “conventional wisdom” on virulence Modern theories for how virulence.
1 Modelling the interactions between HIV and the immune system in hmans R. Ouifki and D. Mbabazi 10/21/2015AIMS.
Sanja Teodorović University of Novi Sad Faculty of Science.
Eradication and Control Let R be the effective reproductive rate of a microparasite: Criterion for eradication:
New vaccines mean new strategies: A theoretical exploration of the impact of HPV/HSV vaccines. Geoff Garnett Department of Infectious Disease Epidemiology,
Mathematical Modeling of Bird Flu Propagation Urmi Ghosh-Dastidar New York City College of Technology City University of New York December 1, 2007.
Maternal immunity. Acquired immunity Very small group ( < 20 birds??) Mortality may be high Natural selection (??)
PhD We knew nothing about the set-point viral loads. What was unknown about HIV-1 infection before this paper was published in 2007? 1.Virus density.
Epidemic (Compartment) Models. Epidemic without Removal SI Process Only Transition: Infection Transmission SIS Process Two Transitions: Infection and.
CDC's Model for West Africa Ebola Outbreak Summarized by Li Wang, 11/14.
Simulation of Infectious Diseases Using Agent-Based Versus System Dynamics Models Omar Alam.
Disease ecology – SIR models ECOL 8310, 11/17/2015.
This presentation is made available through a Creative Commons Attribution- Noncommercial license. Details of the license and permitted uses are available.
Predicting the Future To Predict the Future, “all we have to have is a knowledge of how things are and an understanding of the rules that govern the changes.
SIR Epidemics 박상훈.
V. Dynamics of Consumer-Resource Interactions
Parasitism and Disease
Parasitism.
Modelling infectious diseases
KEY CONCEPT Some viral diseases can be prevented with vaccines.
Parasitism and Disease
III. Population Growth – changes in size through time
Effect of disease Chapter 39.
Predicting the Future To Predict the Future, “all we have to have is a knowledge of how things are and an understanding of the rules that govern the changes.
Predicting the Future To Predict the Future, “all we have to have is a knowledge of how things are and an understanding of the rules that govern the changes.
Trends in Microbiology
Anatomy of an Epidemic.
Populations: Input Parameters: S = S+Qs I = I1+I2+Qi+D R = R1+R2
Effect of disease Chapter 39.
Unit 4 - Immunology and Public Health
KEY CONCEPT Some viral diseases can be prevented with vaccines.
The parameters in the Reference Group model fit by EPP
10(cell.ml-1 day=1person-1)
KEY CONCEPT Some viral diseases can be prevented with vaccines.
KEY CONCEPT Some viral diseases can be prevented with vaccines.
Presentation transcript:

SIR Epidemic and Vaccination Infection Transmission Plus Host Birth, Death Purpose: What fraction of hosts must be vaccinated in order to eradicate disease?

Compartments & Virulence Susceptible, Infective, Recovered Hosts Background Mortality: All classes Virulence: Extra mortality, Infected hosts only Reproduction: All classes; Hosts Born S

Parameters b Per-capitum Birth Transmission Rate (Mass Action) d Non-Disease Mortality (All) D Infective Mortality (D – d): Virulence > 0  Recovery from Infection

Dynamics of General Epidemic

Assumptions When Rare, Pathogen Invades Host Pop. R0 > 1 Invasion Criterion Equilibrium: Endemic Infection if R0 > 1 Vaccine Available: What level of vaccination (reduction in susceptibility) would prevent disease form advancing when rare?

Vaccination Control (Ricklefs & Miller, 2000)

Disease Locale R0 pV Smallpox Developing World 3 - 5 0.7 – 0.8 Measles May, 1983; Includes corrections for vaccine efficiencies Disease Locale R0 pV Smallpox Developing World 3 - 5 0.7 – 0.8 Measles England 13 0.92 Whooping cough 17 0.94 Rubella 6 0.83 Chicken Pox US 9 - 10 0.9 Diphtheria 4 - 6 0.8 Scarlet fever 5 - 7 Mumps 4 - 7 Polio Netherlands Malaria Nigeria 80 0.99 16

Why is virulence so diverse? Define Virulence Reduction in Host Fitness Due to Pathogen’s Reproduction Increased Host Mortality Rate “Sub-lethal” Diminished Host Fecundity Cost of Immune Response Decline in Competitive Ability Why is virulence so diverse?

Increase Host Mortality Decrease Host Fecundity Virulence: Process Pathogen Takes Resources from Host Energy, Nutrients “Virulence Factors” Pathogen Growth Releases Substance Toxic to Host Increase Host Mortality Decrease Host Fecundity

Virulence: Trade-Off Pathogen Evolves Faster than Host Benefit of Increased Virulence Faster Pathogen Growth  Increased Transmission Rate Cost of Increased Virulence Duration of Infectious Period Reduced Via Greater Host Mortality

Virulence: Trade-Off Greater Transmission Rate  Requires Greater Virulence 

Natural Selection and Virulence? Evolutionarily Stable Virulence 𝛼 ∗ Maximizes 𝑅 0 = Number of Infections/Infection When Rare Equivalently, 𝛼 ∗ Minimizes Density of Susceptible Hosts at Endemic Equilibrium

Evolutionarily Stable Virulence

ES Virulence Maximizes 𝑹 𝟎

Maximal Infections per Infection Assumes: Fully Mixed Population {0, 1} Host Infections Direct-Contact Transmission Before Host Death or Recovery Monomorphic Solution! Example Where Assumptions Fit

Fraser et al. 2007. PNAS 104:17441-17446 Set-Point Viral Load of HIV-1 Peripheral Density, Asymptomatic Period Dependence of Set-Point on Viral Replication Unclear Infectiousness Increases with Viral Load Duration of Infectious Period Declines Viral Life-History Trade-Off?

Viral Load: Heterogeneity

Transmission Rate-Duration Trade-Off Duration of Infectious Period

E[Infections per Case]

𝑹 𝟎 and E[Growth Rate]