Preparing for and responding to novel and re-emerging infectious diseases requires a range of mathematical models to: (a) understand and prevent the initial steps leading to emergence of a new disease from a purely zoonotic risk to human-to-human spread; (b) evaluate key parameters of the disease, including its reproduction number, serial interval, time course of infectiousness, etc. in the early phases of an outbreak; and (c) plan in advance for control measures, using models to compare the course of the epidemic (and its distribution) across various policies. In this grant, we will (a) develop models of control policies to minimize the spread of an infectious disease during the first cycles of transmission within humans, possibly before full human-to-human transmission is established; (b) develop tools for use in real time to estimate the reproductive number, effectiveness of control measures, and timing of infectiousness from the limited data available early in an outbreak; and (c) develop mathematical modeling tools that capture the key features of realistic disease transmission networks in models of intermediate complexity - less complex than full, individual-based simulation models but more complex than the simple differential equation models that fail to capture population structure. The goal of this work is to design tools that will aid in understanding and generalizing the output of computationally complex models of disease transmission. ? ?
Mills, Harriet L; Riley, Steven (2014) The spatial resolution of epidemic peaks. PLoS Comput Biol 10:e1003561 |
Kucharski, Adam J; Kwok, Kin O; Wei, Vivian W I et al. (2014) The contribution of social behaviour to the transmission of influenza A in a human population. PLoS Pathog 10:e1004206 |
Kwok, Kin On; Leung, Gabriel M; Mak, Peter et al. (2013) Antiviral stockpiles for influenza pandemics from the household perspective: treatment alone versus treatment with prophylaxis. Epidemics 5:92-7 |
Pitzer, Virginia E; Burgner, David; Viboud, Cécile et al. (2012) Modelling seasonal variations in the age and incidence of Kawasaki disease to explore possible infectious aetiologies. Proc Biol Sci 279:2736-43 |
Kenah, Eben; Miller, Joel C (2011) Epidemic percolation networks, epidemic outcomes, and interventions. Interdiscip Perspect Infect Dis 2011:543520 |
Mostofsky, Elizabeth; Lipsitch, Marc; Regev-Yochay, Gili (2011) Is methicillin-resistant Staphylococcus aureus replacing methicillin-susceptible S. aureus? J Antimicrob Chemother 66:2199-214 |
Goldstein, Edward; Miller, Joel C; O'Hagan, Justin J et al. (2010) Pre-dispensing of antivirals to high-risk individuals in an influenza pandemic. Influenza Other Respir Viruses 4:101-12 |
Lajous, Martín; Danon, Leon; López-Ridaura, Ruy et al. (2010) Mobile messaging as surveillance tool during pandemic (H1N1) 2009, Mexico. Emerg Infect Dis 16:1488-9 |
Goldstein, E; Apolloni, A; Lewis, B et al. (2010) Distribution of vaccine/antivirals and the 'least spread line' in a stratified population. J R Soc Interface 7:755-64 |
Wallinga, Jacco; van Boven, Michiel; Lipsitch, Marc (2010) Optimizing infectious disease interventions during an emerging epidemic. Proc Natl Acad Sci U S A 107:923-8 |
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