towards understanding tuberculosis on the...
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Towards Understanding Tuberculosis on the
Multi-scale Jane Heffernan
Modelling Infection and Immunity Lab Centre for Disease Modelling
Mathematics & Statistics York University
http://immune.math.yorku.ca/jmheffer
Canada Capital: Ottawa Population: 35 million (2012) Population by Province (million)
Ont: 13.5 Que: 8 BC: 4.6 Alb: 4 Man: 1 Sas: 1
NS: 1 NB 0.7 NFL: 0.5 PEI: 0.1 Terr: 0.1
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In 2011, 76% Canadian-born non-Aboriginals, 4% Aboriginal Peoples 20% was comprised of immigrants
TB in Canada
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Num
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Canadian-born Aboriginal
Canadian-born non-Aboriginal
Foreign-born
Halverson, Jessica, et al. "Epidemiology of tuberculosis in Canada." Canadian Tuberculosis Standards (2014): 7.
TB in Canada
Halverson, Jessica, et al. "Epidemiology of tuberculosis in Canada." Canadian Tuberculosis Standards (2014): 7.
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Distribution of active TB cases by origin across provinces and
territories: 2000 - 2010
Halverson, Jessica, et al. "Epidemiology of tuberculosis in Canada." Canadian Tuberculosis Standards (2014): 7.
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Reported foreign-born TB cases in Canada, 2000-2010: Time from Arrival
in Canada to Diagnosis in Years
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Years from arrival in Canada to diagnosis
Num
ber o
f cas
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Halverson, Jessica, et al. "Epidemiology of tuberculosis in Canada." Canadian Tuberculosis Standards (2014): 7.
Distribution of reported foreign-born active TB cases in Canada by
country of birth: 2000-2010
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Halverson, Jessica, et al. "Epidemiology of tuberculosis in Canada." Canadian Tuberculosis Standards (2014): 7.
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Percentage of tuberculosis cases by age group and origin - Canada: 2010
Age group
Perc
enta
ge
0%
20%
40%
60%
80%
100%
Canadian-born non-Aboriginal 2 8 6 21 17 14 26 31 22 36
Foreign-born 0 4 10 115 207 190 145 108 99 162
Canadian-born Aboriginal 7 17 23 64 57 62 35 30 21 14
< 1 1-4 5-14 15-24 25-34 35-44 45-54 55-64 65-74 75+
Halverson, Jessica, et al. "Epidemiology of tuberculosis in Canada." Canadian Tuberculosis Standards (2014): 7.
Drug resistance by origin group: All cases 2000 - 2010
Resistance to one or more first-line anti-tb drug (n= 1,162)
Resistant to at least INH and RMP, MDR-TB (n=155)
Halverson, Jessica, et al. "Epidemiology of tuberculosis in Canada." Canadian Tuberculosis Standards (2014): 7.
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Distribution of cases by origin: Aboriginal and Foreign-born: 2000 - 2010
Foreign-born Aboriginal
Courtesy of PHAC
Ontario TB stats
• 2010 • Canada – 1577 new cases • Ontario – 633 new cases • Toronto – 300-350 cases/yr
– 1/6 first-line drug resistance – MDR and XDR have been documented – 4% of cases HIV+ve – 2-3% homeless – 1% aboriginal
http://www.on.lung.ca/document.doc?id=1644 http://www.bc.lung.ca/association_and_services/documents/1-ELIZABETHREA.4.18.13.pdf
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Want to understand Pathogenesis of TB in-host Granuloma formation, Complications with other diseases
i.e. HIV Transmission of TB How this links to pathogenesis in-host AND population
demographics/characteristics Treatment of TB In-host, evolution of resistance, public health
Public Health Resources How to mobilize public health resources efficiently i.e.
urban vs. rural(remote); new vs. latent infection;
MULTI-SCALE!! 13
More vs. More
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Biology Incorporated in Model
New
Kno
wle
dge
from
Res
ults
Infected cell Antigen Naïve B-cell
Memory B-cell
Plasma cell
Antibodies Effector CTL
Memory CD8
Memory CD4
Naïve CD8
Naïve CD4 Th0 CD4 Th1
CD4 Th2
Antigen Presenting Cell
Type 2 cytokines
Type 1 cytokines
In-host Modelling: General
In-host Pathogenesis M. tuberculosis mainly targets macrophages Macrophages ‘kill’ bacteria Cytotoxic T-lymphocytes (CTLs) ‘kill’ infected
cells Granuloma: limit the spread of bacteria and
facilitate interactions between immune cells 4 disease outcomes Primary TB, latent TB, clearance, reactivation
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TB Pathogenesis
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Healthy Macrophage
Infected Macrophage
Bacteria Activated CD8 T-cells (CTL)
Birth
Birth
Death
Infection
Production Killing Killing
Proliferation
Death
Birth
Death
Key Parameters Changes in
disease outcomes are affected by these parameters We need to focus
on these to help patients
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Granuloma Spatial distribution of cells Cellular Automaton model
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Compartments
Can also include treated classes, resistance
S*
E* I*
infection birth
death
L*
death death death
R* V*
death death
progression latency
recovery
vaccination re-infection
relapse
Coupling between and in-host dynamics
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Screening and Treatment of Immigrants?
What should Canada’s optimal policy be? Mathematical model
Progression of LTBI among new immigrants, by country of origin, age groups, and time since landing
Data from Immigration Canada and Canadian TB Reporting System were used to calibrate and validate the baseline model without the screening program.
Cost-effectiveness of different screening programs were evaluated using the model.
Results show that the most cost-effective screening is to screen and treat LTBI in new immigrants from countries of birth with TB incidence rate higher than 50.
(Mary Varughese et al, Int J Tuberc Lung Dis. 2014 Apr;18(4):405-12.)
22 Years from arrival in Canada to diagnosis
Num
ber o
f cas
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Halverson, Jessica, et al. "Epidemiology of tuberculosis in Canada." Canadian Tuberculosis Standards (2014): 7.
Aboriginal Health Understanding the mechanism of TB transmission in these communities
Complex due to the role of social and economic determinants of health such as overcrowding, lack of access to health care, substance abuse, HIV-TB co-infection, diabetes, and general poor socioeconomic conditions.
Health Canada’s new strategy to reduce TB for First Nations on-Reserve aims for community based control strategies that targets social and economic determinants of health.
Evaluate the cost-effectiveness of these types of TB intervention strategies using mathematical models and statistical models and data
Will answer questions such as: How many TB cases can be prevented in a ten-year period if a chest x-ray machine
was made available in a high incidence community? or if housing conditions are improved to a certain level?
Cost-effectiveness analysis will inform Health Canada’s new TB strategy.
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Michael Li, U Alberta
Drug Resistance Development of drug resistance Probability
Transmission of drug resistance strains Fitness
Agent-based Modelling
24 ESPíNDOLA, AQUINO L., ALEXANDRE SOUTO MARTINEZ, and Seyed M. Moghadas. "An Agent-Based Modelling Framework for Tuberculosis Infection with Drug-Resistance."
Resistance With and without relapse
25 ESPíNDOLA, AQUINO L., ALEXANDRE SOUTO MARTINEZ, and Seyed M. Moghadas. "An Agent-Based Modelling Framework for Tuberculosis Infection with Drug-Resistance."
Meta-population
What can we include? Demographics Workplaces, schools, shopping malls, etc. Schedules Household characteristics Health risk factors Behavioural traits – game theory, decision
making Relationships Disease Model
Nitric Oxide Treatment Size of unit Mobilization of resources Reaching those that most need it
28 Mobile devices: how many devices, how to arrange the schedules
Mobile devices