Globalization has increased the likelihood that susceptible and infected individuals of many species will be brought into contact, so increasing the disease risks for humans and animals alike. For human diseases, contact depends on choices that people make that bring susceptible and infected individuals together. For domesticated and wild animals, contact depends on the transactions people make that bring susceptible animals into contact with infectious agents. The spread of emerging infectious zoonotic diseases, depends on both things. While epidemiologists recognize the importance of human behavior in the spread of diseases they do not model the decision processes involved. Embedding these decision processes in the contact function in compartmental epidemiological models is expected to enhance their capacity to predict the introduction and spread of infectious diseases, and to provide an opportunity to evaluate incentive based disease management policies (Fenichel et al, 2011). The research will incorporate the economic drivers of 'contact'into dynamic models of emerging human and animal infectious disease systems, and analyze the system dynamics with and without adaptive responses. The models will be calibrated for a set of diseases where people's trade and travel decisions are potentially important (initially H1N1, H5N1,FMD).
The aim i s to strengthen the power of compartmental epidemiological models (a) to predict the likelihood that diseases of particular types will be introduced and the course of diseases once introduced, and (b) to evaluate the potential for incentive-based policy responses to disease threats and disease outbreaks. The research team has been built over a number of years through collaboration in three networks: an RCN - BESTNet;the international biodiversity science program DIVERSITAS;and a NIMBIOS working group - SPIDER. It comprises mathematical epidemiologists (Castillo-Chavez and Chowell at ASU), ecologists (Daszak, EcoHEALTH;Kilpatrick, UCSC;Smith, Brown;Kinzig, ASU;Levin, Princeton) and resource economists (Perrings, Kuminoff and Fenichel at ASU;Horan, MSU;Springborn, UCD and Finnoff, UW).

Public Health Relevance

We expect the research to benefit regulatory bodies responsible for disease risk assessment and management (e.g. NIH;NCID, CDC and the Communicable Diseases Working Group on Emergencies (CD-WGE) at WHO and the OIE). The models will provide 'test-beds'for the evaluation of alternative incentive-based disease management tools of potential value in managing outbreaks and controlling introduction risks.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM100471-02
Application #
8332315
Study Section
Special Emphasis Panel (ZGM1-CBCB-5 (BM))
Program Officer
Eckstrand, Irene A
Project Start
2011-09-15
Project End
2015-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
2
Fiscal Year
2012
Total Cost
$398,953
Indirect Cost
$83,790
Name
Arizona State University-Tempe Campus
Department
Miscellaneous
Type
Other Domestic Higher Education
DUNS #
943360412
City
Tempe
State
AZ
Country
United States
Zip Code
85287
Kiskowski, Maria; Chowell, Gerardo (2016) Modeling household and community transmission of Ebola virus disease: Epidemic growth, spatial dynamics and insights for epidemic control. Virulence 7:163-73
Shanafelt, David W; Dieckmann, Ulf; Jonas, Matthias et al. (2015) Biodiversity, productivity, and the spatial insurance hypothesis revisited. J Theor Biol 380:426-35
Towers, Sherry; Afzal, Shehzad; Bernal, Gilbert et al. (2015) Mass Media and the Contagion of Fear: The Case of Ebola in America. PLoS One 10:e0129179
Castillo-Chavez, Carlos; Curtiss, Roy; Daszak, Peter et al. (2015) Beyond Ebola: lessons to mitigate future pandemics. Lancet Glob Health 3:e354-5
Morin, Benjamin R; Perrings, Charles; Kinzig, Ann et al. (2015) The social benefits of private infectious disease-risk mitigation. Theor Ecol 8:467-479
Springborn, Michael; Chowell, Gerardo; MacLachlan, Matthew et al. (2015) Accounting for behavioral responses during a flu epidemic using home television viewing. BMC Infect Dis 15:21
Chowell, Diego; Castillo-Chavez, Carlos; Krishna, Sri et al. (2015) Modelling the effect of early detection of Ebola. Lancet Infect Dis 15:148-9
Bichara, Derdei; Kang, Yun; Castillo-Chavez, Carlos et al. (2015) SIS and SIR Epidemic Models Under Virtual Dispersal. Bull Math Biol 77:2004-34
Kareva, Irina; Morin, Benjamin; Castillo-Chavez, Carlos (2015) Resource consumption, sustainability, and cancer. Bull Math Biol 77:319-38
Horan, Richard D; Fenichel, Eli P; Finnoff, David et al. (2015) Managing dynamic epidemiological risks through trade. J Econ Dyn Control 53:192-207

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