Persistent Chaos of Measles Epidemics in the Prevaccination United States Caused by a Small Change in Seasonal Transmission Patterns
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pcbi.1004655
Download full text from publisher
References listed on IDEAS
- Aaron A. King & Edward L. Ionides & Mercedes Pascual & Menno J. Bouma, 2008. "Inapparent infections and cholera dynamics," Nature, Nature, vol. 454(7206), pages 877-880, August.
- B. F. Finkenstädt & B. T. Grenfell, 2000. "Time series modelling of childhood diseases: a dynamical systems approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(2), pages 187-205.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Denis Valle & James Clark, 2013. "Improving the Modeling of Disease Data from the Government Surveillance System: A Case Study on Malaria in the Brazilian Amazon," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-14, November.
- David A Rasmussen & Oliver Ratmann & Katia Koelle, 2011. "Inference for Nonlinear Epidemiological Models Using Genealogies and Time Series," PLOS Computational Biology, Public Library of Science, vol. 7(8), pages 1-11, August.
- Kimberly M. Thompson, 2016. "Evolution and Use of Dynamic Transmission Models for Measles and Rubella Risk and Policy Analysis," Risk Analysis, John Wiley & Sons, vol. 36(7), pages 1383-1403, July.
- Piotr Szczepocki, 2020. "Application of iterated filtering to stochastic volatility models based on non-Gaussian Ornstein-Uhlenbeck process," Statistics in Transition New Series, Polish Statistical Association, vol. 21(2), pages 173-187, June.
- Frits Bijleveld & Jacques Commandeur & Phillip Gould & Siem Jan Koopman, 2008.
"Model‐based measurement of latent risk in time series with applications,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 265-277, January.
- Frits Bijleveld & Jacques Commandeur & Phillip Gould & Siem Jan Koopman, 2005. "Model-based Measurement of Latent Risk in Time Series with Applications," Tinbergen Institute Discussion Papers 05-118/4, Tinbergen Institute.
- Maria Bekker‐Nielsen Dunbar & Felix Hofmann & Leonhard Held & the SUSPend modelling consortium, 2022. "Assessing the effect of school closures on the spread of COVID‐19 in Zurich," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S1), pages 131-142, November.
- David R J Pleydell & Samuel Soubeyrand & Sylvie Dallot & Gérard Labonne & Joël Chadœuf & Emmanuel Jacquot & Gaël Thébaud, 2018. "Estimation of the dispersal distances of an aphid-borne virus in a patchy landscape," PLOS Computational Biology, Public Library of Science, vol. 14(4), pages 1-24, April.
- Lindström, Erik, 2013. "Tuned iterated filtering," Statistics & Probability Letters, Elsevier, vol. 83(9), pages 2077-2080.
- Daniel P Word & James K Young & Derek A T Cummings & Sopon Iamsirithaworn & Carl D Laird, 2013. "Interior-Point Methods for Estimating Seasonal Parameters in Discrete-Time Infectious Disease Models," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-13, October.
- King, Aaron A. & Nguyen, Dao & Ionides, Edward L., 2016. "Statistical Inference for Partially Observed Markov Processes via the R Package pomp," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i12).
- Metcalf, C.J.E. & Lessler, J. & Klepac, P. & Morice, A. & Grenfell, B.T. & Bjørnstad, O.N., 2012. "Structured models of infectious disease: Inference with discrete data," Theoretical Population Biology, Elsevier, vol. 82(4), pages 275-282.
- Ross Sparks & Tim Keighley & David Muscatello, 2010. "Early warning CUSUM plans for surveillance of negative binomial daily disease counts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(11), pages 1911-1929.
- Liu, Qun & Jiang, Daqing & Hayat, Tasawar & Alsaedi, Ahmed & Ahmad, Bashir, 2020. "Stationary distribution of a stochastic cholera model between communities linked by migration," Applied Mathematics and Computation, Elsevier, vol. 373(C).
- H. J. Whitaker & C. P. Farrington, 2004. "Infections with Varying Contact Rates: Application to Varicella," Biometrics, The International Biometric Society, vol. 60(3), pages 615-623, September.
- Bernard Cazelles & Clara Champagne & Joseph Dureau, 2018. "Accounting for non-stationarity in epidemiology by embedding time-varying parameters in stochastic models," PLOS Computational Biology, Public Library of Science, vol. 14(8), pages 1-26, August.
- Caroline Chuard & Hannes Schwandt & Alexander D. Becker & Masahiko Haraguchi, 2022.
"Economic vs. Epidemiological Approaches to Measuring the Human Capital Impacts of Infectious Disease Elimination,"
NBER Working Papers
30202, National Bureau of Economic Research, Inc.
- Chuard, Caroline & Schwandt, Hannes & Becker, Alex & Haraguchi, Masahiko, 2022. "Economic vs. Epidemiological Approaches to Measuring the Human Capital Impacts of Infectious Disease Elimination," IZA Discussion Papers 15420, Institute of Labor Economics (IZA).
- Alexander D Becker & Bryan T Grenfell, 2017. "tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-10, September.
- Wan Yang & Alicia Karspeck & Jeffrey Shaman, 2014. "Comparison of Filtering Methods for the Modeling and Retrospective Forecasting of Influenza Epidemics," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-15, April.
- David M Williams & Amy C Dechen Quinn & William F Porter, 2014. "Informing Disease Models with Temporal and Spatial Contact Structure among GPS-Collared Individuals in Wild Populations," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-12, January.
- Wan Yang & Liang Wen & Shen-Long Li & Kai Chen & Wen-Yi Zhang & Jeffrey Shaman, 2017. "Geospatial characteristics of measles transmission in China during 2005−2014," PLOS Computational Biology, Public Library of Science, vol. 13(4), pages 1-21, April.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pcbi00:1004655. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.