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1

Center for Emerging Issues (U.S.). Overview of predictive infectious-disease modeling. Washington, D.C.]: United States Department of Agriculture, Animal and Plant Health Inspection Service, Veterinary Services, Center for Emerging Issues, 2005.

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2

Courant Institute of Mathematical Sciences, ed. Mathematical methods for analysis of a complex disease. New York: Courant Institute of Mathematical Sciences, 2011.

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3

Karakawa, Masanori. A mathematical approach to cardiovascular disease: Mechanics of blood circulation. Tokyo: Kokuseido Pub. Co., 1998.

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4

Modelling Disease Ecology With Mathematics. Springfield, MO: American Institute of Mathematical Sciences, 2008.

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5

Roy, Priti Kumar. Mathematical Models for Therapeutic Approaches to Control HIV Disease Transmission. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-852-6.

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6

Zawołek, M. W. A physical theory of focus development in plant disease. Wageningen, Netherlands: Agricultural University, 1989.

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7

Kremer, Michael. Integrating behavioral choice into epidemiological models of AIDS. Cambridge, MA: National Bureau of Economic Research, 1996.

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8

Gumel, Abba B. Modeling paradigms and analysis of disease transmission models. Providence, R.I: American Mathematical Society, 2010.

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9

Stanecki, De Lay Karen, ed. The demographic impact of an AIDS epidemic on an African country: Application of the iwgAIDS model. Washington, D.C: Center for International Research, U.S. Bureau of the Census, 1991.

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10

International Association for the Study of Insurance Economics. General Assembly. AIDS and insurance: Documents and texts from the panel of the 15th General Assembly of the Geneva Association. Genève: "Association", 1988.

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11

Ojha, Vijay Prakash. The macro-economic and sectoral impacts of HIV and AIDS in India: A CGE analysis. New Delhi: United Nations Development Programme, 2006.

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12

Ho, Man-Wai. Assessing treatments effects in multi-center clinical trials with application to scleroderma lung study: A semiparametric bayesian approach. Bangalore: Indian Institute of Management, 2009.

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13

Zeng, Daniel. Infectious disease informatics and biosurveillance. New York: Springer, 2011.

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14

Marsden, Michael A. Sensitivity analyses of the western root disease model to user-specified starting parameters. Fort Collins, Colo: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1992.

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15

Marsden, Michael A. Sensitivity of the western root disease model: Inventory of root disease. Fort Collins, CO: USDA, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1992.

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16

Flessa, Steffen. Malaria und Aids: Gesundheitsökonomische Analysen auf Grundlage von Disease Dynamics Modellen. Lage, Germany: Verlag Hans Jacobs, 2002.

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17

J, Duncan C., ed. Human demography and disease. Cambridge: Cambridge University Press, 1998.

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18

Van Ark, James W. 1952-, ed. Modeling HIV transmission and AIDS in the United States. Berlin: Springer-Verlag, 1992.

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19

Stochastic models with applications to genetics, cancers, AIDS and other biomedical systems. Singapore: World Scientific, 2002.

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20

Kremer, Michael. Can having fewer partners increase prevalence of AIDS? Cambridge, MA: National Bureau of Economic Research, 1994.

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21

Hethcote, Herbert W. Modeling HIV transmission and AIDS in the United States. Berlin: Springer-Verlag, 1992.

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22

Kremer, Michael. Can having fewer partners increase prevalence of AIDS? Cambridge, Mass: National Bureau of Economic Research, 1994.

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23

Michael, Edwin. Modelling parasite transmission and control. New York, N.Y: Springer Science+Business Media, 2010.

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24

Zaba, Basia. The demographic impact of AIDS: Some stable population simulation results. London: Centre for Population Studies, London School of Hygiene & Tropical Medicine, 1994.

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25

Inc, ebrary, ed. Dynamical modeling and analysis of epidemics. New Jersey: World Scientific, 2009.

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26

Sattenspiel, Lisa. The geographic spread of infectious diseases: Models and applications. Princeton: Princeton University Press, 2009.

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27

Acemoglu, Daron. Disease and development: The effect of life expectancy on economic growth. Cambridge, Mass: National Bureau of Economic Research, 2006.

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28

1970-, Lloyd Alun, ed. The geographic spread of infectious diseases: Models and applications. Princeton: Princeton University Press, 2009.

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29

1966-, Gumel Abba, Castillo-Chávez Carlos, Mickens Ronald E. 1943-, Clemence Dominic P. 1959-, American Mathematical Society, Institute of Mathematical Statistics, and Society for Industrial and Applied Mathematics, eds. Mathematical studies on human disease dynamics: Emerging paradigms and challenges : AMS-IMS-SIAM Joint Summer Research Conference on modeling the dynamics of human diseases : emerging paradigms and challenges, July 17-21, 2005, Snowbird, Utah. Providence, R.I: American Mathematical Society, 2006.

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30

Dorrington, Rob. The demographic impact of HIV/AIDS in Botswana: Modelling the impact of HIV/AIDS in Botswana. Gaborone: NACA, 2006.

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31

Dorrington, Rob. The demographic impact of HIV/AIDS in Botswana: Modelling the impact of HIV/AIDS in Botswana. Gaborone: NACA, 2006.

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32

Bärnighausen, Till. " Conditional scholarships" for HIV / AIDS health workers: Educating and retaining the workforce to provide antiretroviral treatment in sub-saharan Africa. Cambridge, Mass: National Bureau of Economic Research, 2007.

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33

Peter, Haggett, ed. Atlas of disease distributions: Analytic approaches to epidemiological data. Oxford, UK: Blackwell Reference, 1992.

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34

Cliff, A. D. Atlas of disease distributions: Analytic approaches to epidemiological data. Oxford, UK: Basil Blackwell, 1988.

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35

Cliff, A. D. Spatial aspects of influenza epidemics. London, England: Pion Ltd., 1986.

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36

Peter, Haggett, and Ord J. K, eds. Spatial aspects of influenza epidemics. London: Pion Ltd., 1986.

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37

Keeling, Matthew James. Modeling infectious diseases in humans and animals. Princeton, NJ: Princeton University Press, 2007.

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38

Keeling, Matthew James. Modeling infectious diseases in humans and animals. Princeton: Princeton University Press, 2008.

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39

Donnelly, Christl A. Statistical aspects of BSE and vCJD: Models for epidemics. Boca Raton: Chapman & Hall/CRC, 2000.

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40

Y, Tan W. Deterministic and stochastic models of AIDS epidemics and HIV infections with intervention. Singapore: World Scientific, 2005.

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41

1936-, May Robert M., ed. Infectious diseases of humans: Dynamics and control. Oxford: Oxford University Press, 1991.

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42

Cowell, Michael J. AIDS, HIV mortality, and life insurance. Itasca, Ill. (500 Park Blvd., Itasca 60143): Society of Actuaries, 1987.

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43

Kantor, B. I͡A. Noninvasive diagnostics of the left heart: Biomechanical disturbances. Commack, N.Y: Nova Science Publishers, 1995.

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44

Sarma, Syam. The gemfibrozil cost-benefit model: Analysis of data from the Helsinki Heart Study, model development, and extension to the California Medicaid population. Santa Monica, CA (1700 Main St., P.O. Box 2138, Santa Monica 90407-2138): RAND, 1993.

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45

Sarma, Syam. The gemfibrozil cost-benefit model: Analysis of data from the Helsinki Heart Study, model development, and extension to the California Medicaid population. Santa Monica, CA (1700 Main St., P.O. Box 2138, Santa Monica 90407-2138): RAND, 1993.

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46

Stefan, Ma, and Xia Yingcun, eds. Mathematical Understanding of Infectious Disease Dynamics. Hackensack, NJ: World Scientific Pub Co, 2009.

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47

Stefan, Ma, and Xia Yingcun, eds. Mathematical understanding of infectious disease dynamics. Hackensack, NJ: World Scientific Pub Co, 2009.

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48

(Editor), Jacques Belair, Leon Glass (Editor), Uwe an Der Heiden (Editor), and John Milton (Editor), eds. Dynamical Disease: Mathematical Analysis of Human Illness. AIP Press, 1995.

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49

Jacques, Bélair, ed. Dynamical disease: Mathematical analysis of human illness. Woodbury, N.Y: AIP Press, 1995.

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50

An Introduction To Infectious Disease Modelling. Oxford University Press, USA, 2010.

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