Cliff, A, Haggett, P. Time, travel and infection. British Medical Bulletin
2004; 69: 87–99.
Colizza, V, et al.
The role of the airline transportation network in the prediction and predictability of global epidemics. Proceedings of the National Academy of Sciences of the United States of America
2006; 103: 2015–2020.
Blower, SM, et al.
The intrinsic transmission dynamics of tuberculosis epidemics. Nature Medicine
1995; 1: 815–821.
Vynnycky, E, Fine, PEM. The annual risk of infection with Mycobacterium tuberculosis in England and Wales since 1901. The International Journal of Tuberculosis and Lung Disease
1997; 1: 389–396.
Dye, C, Williams, BG. Eliminating human tuberculosis in the twenty-first century. Journal of the Royal Society Interface
2008; 5: 653–662.
Abu-Raddad, LJ, et al.
Epidemiological benefits of more-effective tuberculosis vaccines, drugs, and diagnostics. Proceedings of the National Academy of Sciences of the United States of America
2009; 106: 13980–13985.
Longini, IM, et al.
Simulation studies of influenza epidemics: assessment of parameter estimation and sensitivity. International Journal of Epidemiology
1984; 13: 496–501.
Glass, RJ, et al.
Targeted social distancing design for pandemic influenza. Emerging Infectious Diseases
2006; 12: 1671–1681.
Wu, JT, et al.
Reducing the impact of the next influenza pandemic using household-based public health interventions. PLoS Medicine
2006; 3: e361.
Halloran, ME, et al.
Modeling targeted layered containment of an influenza pandemic in the United States. Proceedings of the National Academy of Sciences of the United States of America
2008; 105: 4639–4644.
Nsoesie, EO, et al.
A systematic review of studies on forecasting the dynamics of influenza outbreaks. Influenza and Other Respiratory Viruses
2014; 8: 309–316.
Timpka, T, et al.
Population-based simulations of influenza pandemics: validity and significance for public health policy. Bulletin of the World Health Organization
2009; 87: 305–311.
Janes, CR, et al.
Emerging infectious diseases: the role of social sciences. Lancet
2012; 380: 1884–1886.
Hägerstrand, T. Innovation Diffusion as a Spatial Process. Chicago, IL: University of Chicago Press, 1967.
Hudson, JC. Diffusion in a central place system. Geographical Analysis
1969; 1: 45–58.
Eyler, JM. The changing assessments of John Snow's and William Farr's cholera studies. Sozial- und Präventivmedizin
2001; 46: 225–232.
Mossong, J, et al.
Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Medicine
2008; 5: e74.
Kwok, KO, et al.
Social contacts and the locations in which they occur as risk factors for influenza infection. Proceedings of the Royal Society of London B: Biological Sciences
2014; 281: 20140709.
Sayer, LC. Gender, time and inequality: trends in women's and men's paid work, unpaid work and free time. Social Forces
2005; 84: 285–303.
Danon, L, et al.
Social encounter networks: characterizing Great Britain. Proceedings of the Royal Society of London B: Biological Sciences
2013; 280: 20131037.
Cohen, J. Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Lawrence Erlbaum, 1988.
Haugen, K, et al.
Proximity, accessibility and choice: a matter of taste or condition?
Papers in Regional Science
2012; 91: 65–84.
Brown, LD, Cai, TT, Dasgupta, A. Confidence intervals for a binomial proportion and asymptotic expansions. Annals of Statistics
2002; 30: 160–201.
Romesburg, C. Cluster Analysis for Researchers. Raleigh, NC: Lulu Press, 2004.
Ajelli, M, Litvinova, M. Estimating contact patterns relevant to the spread of infectious diseases in Russia. Journal of Theoretical Biology
2017; 419: 1–7.
Merler, S, Ajelli, M. Deciphering the relative weights of demographic transition and vaccination in the decrease of measles incidence in Italy. Proceedings of the Royal Society of London B: Biological Sciences
2014; 281: 20132676.
Polanyi, K. The economy as instituted process. In: Polanyi, K, Arensberg, CM, Pearson, HW, eds. Trade and Market in the Early Empires: Economies in History and Theory. Glencoe, IL: Free Press, 1957, pp. 243–269.
Kretzschmar, M, Mikolajczyk, RT. Contact profiles in eight European countries and implications for modelling the spread of airborne infectious diseases. PLoS ONE
2009; 4: e5931.
Elveback, LR, et al.
An influenza simulation model for immunization studies. American Journal of Epidemiology
1976; 103: 152–165.
Longini, IM, et al.
Containing pandemic influenza with antiviral agents. American Journal of Epidemiology
2004; 159: 623–633.
Halloran, ME, et al.
Community interventions and the epidemic prevention potential. Vaccine
2002; 20: 3254–3262.
Potter, GE, et al.
Estimating within-school contact networks to understand influenza transmission. Annals of Applied Statistics
2012; 6: 1–26.
Read, JM, Eames, KT, Edmunds, WJ. Dynamic social networks and the implications for the spread of infectious disease. Journal of the Royal Society Interface
2008; 5: 1001–1007.
Zagheni, E, et al.
Using time-use data to parameterize models for the spread of close-contact infectious diseases. American Journal of Epidemiology
2008; 168: 1082–1090.
Iozzi, F, et al.
Little Italy: an agent-based approach to the estimation of contact patterns-fitting predicted matrices to serological data. PLoS Computational Biology
2010; 6: e1001021.
Fumanelli, L, et al.
Inferring the structure of social contacts from demographic data in the analysis of infectious diseases spread. PLoS Computational Biology
2012; 8: e1002673.
Tang, JW, et al.
Aerosol-transmitted infections: a new consideration for public health and infection control teams. Current Treatment Options in Infectious Diseases
2015; 7: 1–26.
Frieden, TR, et al.
Ebola 2014: new challenges, new global response and responsibility. New England Journal of Medicine
2014; 371: 1177–1180.
Moore, J, Carrasco, JA, Tudela, A. Exploring the links between personal networks, time use, and the spatial distribution of social contacts. Transportation
2013; 40: 773–788.
Bolton, KJ, et al.
Influence of contact definitions in assessment of the relative importance of social settings in disease transmission risk. PLoS ONE
2012; 7: e30893.
Read, JM, et al.
Close encounters of the infectious kind: methods to measure social mixing behaviour. Epidemiology and Infection
2004; 140: 2117–2130.