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The Anatomy of an Epidemic: A Rational Approach to Understanding, Preventing and Combating Infectious Diseases. Stephen Weber, MD, MS Assistant Professor Section of Infectious Diseases Hospital Epidemiologist Director, Infection Control Program University of Chicago Hospitals. Overview. - PowerPoint PPT Presentation
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The Anatomy of an Epidemic: The Anatomy of an Epidemic: A Rational Approach to A Rational Approach to
Understanding, Preventing and Understanding, Preventing and Combating Infectious DiseasesCombating Infectious Diseases
Stephen Weber, MD, MSStephen Weber, MD, MS
Assistant ProfessorAssistant ProfessorSection of Infectious DiseasesSection of Infectious Diseases
Hospital EpidemiologistHospital EpidemiologistDirector, Infection Control ProgramDirector, Infection Control Program
University of Chicago HospitalsUniversity of Chicago Hospitals
OverviewOverview
1.1. IntroductionIntroduction2.2. Modeling and the Anatomy of Modeling and the Anatomy of
EpidemicsEpidemics3.3. Preventing and Controlling EpidemicsPreventing and Controlling Epidemics4.4. Epidemics and LuckEpidemics and Luck
SmallpoxSmallpox SARSSARS AnthraxAnthrax MonkeypoxMonkeypox MumpsMumps Antibiotic-resistant Antibiotic-resistant
AcinetobacterAcinetobacter Community-Community-
associated MRSAassociated MRSA
Supertoxigenic Supertoxigenic Clostridium difficileClostridium difficile
Avian influenzaAvian influenza Bordatella pertussisBordatella pertussis MeaslesMeasles West Nile VirusWest Nile Virus Highly-resistant Highly-resistant
Pseudomonas Pseudomonas aeruginosaaeruginosa
Defining an epidemicDefining an epidemic
1.1. An outbreak of a contagious disease that An outbreak of a contagious disease that spreads rapidly and widely.spreads rapidly and widely.
2.2. An increased frequency of infection above the An increased frequency of infection above the normal or usual levelnormal or usual level
0
25
50
75
100
No. o
f cas
es
2004 2005 2006 2007
Smallpox
0
25
50
75
100
No. o
f cas
es
2004 2005 2006 2007
Seasonal viruses
Epidemic SurveillanceEpidemic Surveillance
World Health Organization (WHO)World Health Organization (WHO)
Centers for Disease Control and Prevention Centers for Disease Control and Prevention
Illinois Department of Public HealthIllinois Department of Public Health
Chicago Department of Public HealthChicago Department of Public Health
UCH Infection Control ProgramUCH Infection Control Program
Individual CliniciansIndividual Clinicians
Modeling and the Anatomy of Modeling and the Anatomy of EpidemicsEpidemics
Modeling MeaslesModeling Measles
Keeling, et al. Keeling, et al. Proc R Soc LondProc R Soc Lond. 2002. 2002
Modeling MalariaModeling Malaria
McKenzie and Samba, et al. McKenzie and Samba, et al. Am J Trop Med HygAm J Trop Med Hyg. 2004. 2004
dX/dt = A B Y (N - X) - r X
dY/dt = A C X (M - Y) - m Y
R0 = 1
Progression of an EpidemicProgression of an Epidemic
R0 = 2
R0 = 3
Basic reproductive number (RBasic reproductive number (R00)) Expected number of secondary Expected number of secondary
cases on the introduction of one cases on the introduction of one infected individual in a infected individual in a susceptible populationsusceptible population
RR00 > 1 Epidemic disease > 1 Epidemic disease
RR00 = 1 Endemic disease = 1 Endemic disease
RR00 < 1 Disease dies out < 1 Disease dies out
Generation #R0 1 2 3 …10
2 1 2 4 512
1 1 1 1 1
0.5 4 2 1 0
Basic Reproductive NumbersBasic Reproductive Numbers
SARS in general population: 0.49SARS in general population: 0.49 SARS (hospital transmission): 2.6SARS (hospital transmission): 2.6 Smallpox in a vulnerable population: 3.0-5.2Smallpox in a vulnerable population: 3.0-5.2 Measles (pre-vaccine): 10-15Measles (pre-vaccine): 10-15 Measles in Belgian schools (1996): 6.2-7.7Measles in Belgian schools (1996): 6.2-7.7 1918 pandemic influenza: 1.8-2.01918 pandemic influenza: 1.8-2.0 Influenza on a commercial airliner: 10.4Influenza on a commercial airliner: 10.4
Liao, et al. Liao, et al. Risk AnalRisk Anal. 2005; Chowell, et al. . 2005; Chowell, et al. Emerg Inf Dis. Emerg Inf Dis. 2004; Mossong, et al. 2004; Mossong, et al. Epidemiol InfectEpidemiol Infect. 2005; Meltzer, et al. . 2005; Meltzer, et al. Emerg Inf DisEmerg Inf Dis. 2001.. 2001.
RR00 = p = p xx k k xx d d
p = transmissibilityp = transmissibilityk = contactsk = contactsd = duration of d = duration of
contagiousnesscontagiousness
Transmissibility (p)Transmissibility (p)
1.1. Quantity of pathogen releasedQuantity of pathogen released2.2. Mechanism of disseminationMechanism of dissemination3.3. Inherent infectiousness of the Inherent infectiousness of the
pathogenpathogen
RR00 = = pp x k x d x k x d
Quantity of pathogen releasedQuantity of pathogen released
Varies with state of Varies with state of diseasedisease Early chickenpoxEarly chickenpox Herpes simplexHerpes simplex Cattarhal phase of Cattarhal phase of
viral infectionsviral infections Varies with activityVaries with activity
Coughing vs. sneezing Coughing vs. sneezing vs. talkingvs. talking
RR00 = = pp x k x d x k x d
Mechanism of disseminationMechanism of dissemination RespiratoryRespiratory
Influenza, tuberculosisInfluenza, tuberculosis ContactContact
Seasonal virusesSeasonal viruses Antibiotic-resistant bacteriaAntibiotic-resistant bacteria
Fecal-oralFecal-oral Salmonella, shigella, hepatitis ASalmonella, shigella, hepatitis A
Blood and body fluidBlood and body fluid HIV, Hepatitis B and CHIV, Hepatitis B and C
RR00 = = pp x k x d x k x d
Respiratory disseminationRespiratory disseminationDropletDroplet Droplet nucleiDroplet nuclei
PathogenPathogen BacteriaBacteria TBTB
SizeSize ≥≥ 5 5µµ < 5< 5µµ
DistanceDistance < 3 feet< 3 feet ??
PersistencePersistence < 10 min.< 10 min. > 1 hr.> 1 hr.
DestinationDestination Upper airwaysUpper airways AlveoliAlveoli
RR00 = = pp x k x d x k x d
Inherent infectiousnessInherent infectiousness
RR00 = = pp x k x d x k x d
E. coli E. coli infecting bladder infecting bladder epitheliumepithelium
Biological differences Biological differences between organismsbetween organisms Adhesions, proteinasesAdhesions, proteinases
Variation in host Variation in host responseresponse
Expressed as the Expressed as the minimal infectious doseminimal infectious dose
ContactsContacts Number of contactsNumber of contacts
May be facilitated by May be facilitated by environmental factorsenvironmental factors
Intensity of contactsIntensity of contacts
RR00 = p x = p x kk x d x d
RR00 = p x = p x kk x d x d
Duration of Contagiousness (d)Duration of Contagiousness (d)
Assuming a constant frequency of Assuming a constant frequency of contacts and an unchanging degree of contacts and an unchanging degree of transmissibility, the longer the period of transmissibility, the longer the period of time that a patient is contagious the more time that a patient is contagious the more likely he/she is to transmit the pathogen.likely he/she is to transmit the pathogen.
For some infections, the period of For some infections, the period of contagiousness may not always be contagiousness may not always be associated with symptoms of illness. associated with symptoms of illness. RR00 = p x k x = p x k x dd
Duration of Contagiousness (d)Duration of Contagiousness (d)
The Ebola paradoxThe Ebola paradox Rapid mortality Rapid mortality
reduces period of reduces period of contagiousnesscontagiousness
RR00 = p x k x = p x k x dd
Preventing and Controlling Preventing and Controlling EpidemicsEpidemics
Childbed fever: Vienna, 1847Childbed fever: Vienna, 1847
Robert A. Thom (1966)Robert A. Thom (1966)
Cholera: London 1854Cholera: London 1854
RR00 = p = p xx k k xx d d
Interventions to prevent the spread of Interventions to prevent the spread of epidemics target transmissibility (p), epidemics target transmissibility (p),
contacts (k) or duration of contacts (k) or duration of contagiousness (d).contagiousness (d).
Modeling and Infection Modeling and Infection ControlControl
Limiting transmissibility (p)Limiting transmissibility (p) Reduce the quantity of Reduce the quantity of
pathogen releasedpathogen released Symptom controlSymptom control
Anti-tussivesAnti-tussives Barrier precautionsBarrier precautions
Masks for patientsMasks for patients
Limiting transmissibilityLimiting transmissibility Act on the Act on the
mechanism of mechanism of disseminationdissemination Environmental Environmental
controlscontrols Reduce inherent Reduce inherent
infectiousnessinfectiousness Difficult to reduce, Difficult to reduce,
but possible to but possible to increaseincrease
Overall, 63% of VRE (+) patient rooms are Overall, 63% of VRE (+) patient rooms are contaminatedcontaminated
Sheets: 40%Sheets: 40%
Bedside Tables: Bedside Tables: 20%20%
Bed rails: 26%Bed rails: 26%
Blood pressure Blood pressure cuffs: 14%cuffs: 14%
Preventing ContactPreventing Contact
Quarantine and IsolationQuarantine and Isolation
““une quarantaine une quarantaine de joursde jours (a period (a period
of forty days)”of forty days)”
SS MM TT WW RR FF SSExposed Symptom
s BeginContagioContagiousus
QuarantineQuarantine
IsolationIsolation
Social ControlsSocial Controls
Restriction on Restriction on public events and public events and gatheringsgatherings
Travel limitationsTravel limitations Building Building
quarantinesquarantines Import/Export Import/Export
controlscontrols
Reducing duration of Reducing duration of contagiousnesscontagiousness
Antimicrobial therapyAntimicrobial therapy Influenza controlInfluenza control Anti-HIV therapyAnti-HIV therapy
Enhanced case Enhanced case recognitionrecognition Syndromic surveillanceSyndromic surveillance Limit contactsLimit contacts
Ebola revisitedEbola revisited
00
Period of infectivityPeriod of infectivity DeathDeath
11 22
Days of illnessDays of illness
Ebola: Natural HistoryEbola: Natural History
33
Ebola revisitedEbola revisited
00
DeathDeath
11 22
Days of illnessDays of illness
333 44
Traditional Traditional funeral funeral
practicespractices
Period of infectivityPeriod of infectivity
Ebola: Current PracticeEbola: Current Practice
33
Ebola revisitedEbola revisited
00
DeathDeath
11 22
Days of illnessDays of illness
Period of infectivityPeriod of infectivity
333 44
ICU SupportICU Support
Ebola: USAEbola: USA
33
Epidemics and LuckEpidemics and Luck
Epidemic MisfortuneEpidemic Misfortune Epidemics do not conform Epidemics do not conform
to the predictions of to the predictions of deterministic models. deterministic models. Stochastic phenomena Stochastic phenomena prevail.prevail. Monkeypox: Co-transport of Ghanan giant rat with Monkeypox: Co-transport of Ghanan giant rat with
prairie dogsprairie dogs West Nile Virus: Survival of carrier mosquito through West Nile Virus: Survival of carrier mosquito through
transatlantic flighttransatlantic flight SARS: Co-mixing of viruses between humans, fowl SARS: Co-mixing of viruses between humans, fowl
and civetsand civets HIV: Single African ancestral eventHIV: Single African ancestral event
Improving the OddsImproving the Odds Understanding the role of Understanding the role of
chance in epidemics chance in epidemics permits the deployment of permits the deployment of manageable strategies to manageable strategies to prevent spread.prevent spread.
Improved performance of Improved performance of day to day practices may day to day practices may be more important than an be more important than an elaborate emergency elaborate emergency response system.response system.
ConclusionsConclusions
1.1. Epidemics are driven by a relatively Epidemics are driven by a relatively understandable interplay of pathogens, understandable interplay of pathogens, infected and susceptible hosts.infected and susceptible hosts.
2.2. Understanding the mathematical as well as Understanding the mathematical as well as the biological underpinnings of epidemics is the biological underpinnings of epidemics is critical to prevention and control.critical to prevention and control.
3.3. Sometimes, it really is better to be lucky Sometimes, it really is better to be lucky than to be good.than to be good.