The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Modeling infectious disease dynamics in the complex landscape of global health
Open accessAbstract
Mathematical modeling of infectious diseases: The spread of infectious diseases can be unpredictable. With the emergence of antibiotic resistance and worrying new viruses, and with ambitious plans for global eradication of polio and the elimination of malaria, the stakes have never been higher. Anticipation and measurement of the multiple factors involved in infectious disease can be greatly assisted by mathematical methods. In particular, modeling techniques can help to compensate for imperfect knowledge, gathered from large populations and under difficult prevailing circumstances. Heesterbeek et al. review the development of mathematical models used in epidemiology and how these can be harnessed to develop successful control strategies and inform public health policy. Science , this issue 10.1126/science.aaa4339
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Global trends in emerging infectious diseases
Jones, K. E., Patel, N. G., Levy, M. A., Storeygard, A., Balk, D., Gittleman, J. L., & Daszak, P. (2008) · Nature · doi:10.1038/nature06536 · Cited by 8,338
Prevention of HIV-1 infection with early antiretroviral therapy.
Cohen, M. S., Chen, Y. Q., McCauley, M., Gamble, T., Hosseinipour, M. C., Kumarasamy, N., Hakim, J. G., Kumwenda, J., Grinsztejn, B., Pilotto, J. H. S., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1105243 · Cited by 6,873
The spread of behavior in an online social network experiment
Centola, D. (2010) · Science · doi:10.1126/science.1185231 · Cited by 2,692
Superspreading and the effect of individual variation on disease emergence
Lloyd-Smith, J. O., Schreiber, S. J., Kopp, P. E., & Getz, W. M. (2005) · Nature · doi:10.1038/nature04153 · Cited by 2,514
Self-citationImpacts of biodiversity on the emergence and transmission of infectious diseases
Keesing, F., Belden, L. K., Daszak, P., Dobson, A., Harvell, C. D., Holt, R. D., Hudson, P., Jolles, A., Jones, K. E., Mitchell, C. E., et al. (2010) · Nature · doi:10.1038/nature09575 · Cited by 2,043
Ebola virus disease in West Africa—the first 9 months of the epidemic and forward projections
WHO Ebola Response Team (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1411100 · Cited by 1,674
Quantifying the Impact of Human Mobility on Malaria
Wesolowski, A., Eagle, N., Tatem, A. J., Smith, D. L., Noor, A. M., Snow, R. W., & Buckee, C. O. (2012) · Science · doi:10.1126/science.1223467 · Cited by 992
Ecological and immunological determinants of influenza evolution.
Ferguson, N. M., Galvani, A. P., & Bush, R. M. (2003) · Nature · doi:10.1038/nature01509 · Cited by 746
Salathé, M., & Khandelwal, S. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002199 · Cited by 530
Salathé, M., Bengtsson, L., Bodnar, T. J., Brewer, D. D., Brownstein, J. S., Buckee, C., Campbell, E. M., Cattuto, C., Khandelwal, S., Mabry, P. L., et al. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002616 · Cited by 500
State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force–3
Siebert, U., Alagoz, O., Bayoumi, A. M., Jahn, B., Owens, D. K., Cohen, D. J., & Kuntz, K. M. (2012) · Medical Decision Making · doi:10.1177/0272989x12455463 · Cited by 348
How to make evolution-proof insecticides for malaria control
Read, A. F., Lynch, P. A., & Thomas, M. B. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000058 · Cited by 288
Heterogeneity, Mixing, and the Spatial Scales of Mosquito-Borne Pathogen Transmission
Perkins, T. A., Scott, T. W., Le Menach, A., & Smith, D. L. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003327 · Cited by 130
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Pathways to zoonotic spillover
Plowright, R. K., Parrish, C. R., McCallum, H., Hudson, P. J., Ko, A. I., Graham, A. L., & Lloyd-Smith, J. O. (2017) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.45 · Cited by 1,244
Self-citationStatistical physics of vaccination
Wang, Z., Bauch, C. T., Bhattacharyya, S., d'Onofrio, A., Manfredi, P., Perc, M., Perra, N., Salathé, M., & Zhao, D. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.10.006 · Cited by 872
Complexity theory and financial regulation
Battiston, S., Farmer, J. D., Flache, A., Garlaschelli, D., Haldane, A. G., Heesterbeek, H., Hommes, C., Jaeger, C., May, R., & Scheffer, M. (2016) · Science · doi:10.1126/science.aad0299 · Cited by 508
Self-citationIron and thiol redox signaling in cancer: an exquisite balance to escape ferroptosis
Toyokuni, S., Ito, F., Yamashita, K., Okazaki, Y., & Akatsuka, S. (2017) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2017.04.024 · Cited by 252
The RAPIDD Ebola forecasting challenge: synthesis and lessons learnt
Viboud, C., Sun, K., Gaffey, R., Ajelli, M., Fumanelli, L., Merler, S., Zhang, Q., Chowell, G., Simonsen, L., & Vespignani, A. (2018) · Epidemics · doi:10.1016/j.epidem.2017.08.002 · Cited by 251
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Metadata
- Authors
- Heesterbeek, H., Anderson, R. M., Andreasen, V., Bansal, S., De Angelis, D., Dye, C., Eames, K. T. D., Edmunds, W. J., Frost, S. D. W., Funk, S., Hollingsworth, T. D., House, T., Isham, V., Klepac, P., Lessler, J., Lloyd-Smith, J. O., Metcalf, C. J. E., Mollison, D., Pellis, L., Pulliam, J. R. C., Roberts, M. G., Viboud, C., & Isaac Newton Institute IDD Collaboration
- Venue
- Science
- Published
- 2015-03-13
- Volume
- 347
- Issue
- 6227
- Pages
- aaa4339-aaa4339
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2073017712
- Cited by
- 690
- References
- 13
- FWCI
- 50.14
- Type
- journal article
- Language
- en
- Open access
- green
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