Modeling infectious disease dynamics in the complex landscape of global health
| Autor: | Heesterbeek, H, Anderson, Rm, Andreasen, V, Bansal, S, Deangelis, D, Dye, C, Eames, Ktd, Edmunds, Wj, Frost, Sdw, Funk, S, Hollingsworth, Td, House, T, Isham, V, Klepac, P, Lessler, J, Lloyd Smith, Jo, Metcalf, Cje, Mollison, D, Pellis, L, Pulliam, Jrc, Roberts, Mg, Viboud, C, Arinaminpathy, N, Ball, F, Bogich, T, Gog, J, Grenfell, B, Lloyd, Al, Mclean, A, O'Neill, P, Pearson, C, Riley, S, SCALIA TOMBA, G, Trapman, P, Wood, J |
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| Přispěvatelé: | Dep Gezondheidszorg Landbouwhuisdieren, LS Theoretische Epidemiologie, Strategic Infection Biology, FAH SIB, De Angelis, Daniela [0000-0001-6619-6112], Frost, Simon [0000-0002-5207-9879], Apollo - University of Cambridge Repository |
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
General Science & Technology Basic Reproduction Number Biology Global Health Communicable Diseases Emerging Models Biological Communicable Diseases Article Disease Outbreaks Isaac Newton Institute IDD Collaboration Models Zoonoses Taverne Global health medicine Animals Humans Evolutionary dynamics Environmental planning Health policy Emerging Modeling infectious diseases global health Multidisciplinary Coinfection Public health Health Policy Prevention Hemorrhagic Fever Ebola Biological Virology Settore MAT/06 - Probabilita' e Statistica Matematica Emerging Infectious Diseases Infectious Diseases Good Health and Well Being Infectious disease (medical specialty) Communicable disease transmission Ebola Communicable Disease Control Hemorrhagic Fever Public Health Infection Basic reproduction number Arthropod Vector |
| Zdroj: | Science (New York, N.Y.), vol 347, iss 6227 Science Science, 347(6227). American Association for the Advancement of Science |
| ISSN: | 0036-8075 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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