Literatura académica sobre el tema "Basic reproduction ratio"
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Artículos de revistas sobre el tema "Basic reproduction ratio"
Adler, Frederick R. "The effects of averaging on the basic reproduction ratio". Mathematical Biosciences 111, n.º 1 (septiembre de 1992): 89–98. http://dx.doi.org/10.1016/0025-5564(92)90080-g.
Texto completoTurner, Joanne, Roger G. Bowers y Matthew Baylis. "Two-Host, Two-Vector Basic Reproduction Ratio (R0) for Bluetongue". PLoS ONE 8, n.º 1 (8 de enero de 2013): e53128. http://dx.doi.org/10.1371/journal.pone.0053128.
Texto completoMassad, Eduardo, Francisco Antonio Bezerra Coutinho, Hyan Mo Yang, Heráclito Barbosa De Carvalho, Fábio Mesquita y Marcelo Nascimento Burattini. "The basic reproduction ratio of HIV among intravenous drug users". Mathematical Biosciences 123, n.º 2 (octubre de 1994): 227–47. http://dx.doi.org/10.1016/0025-5564(94)90013-2.
Texto completoLi, Yunfei, Rui Xu, Zhe Li y Shuxue Mao. "Global Dynamics of a Delayed HIV-1 Infection Model with CTL Immune Response". Discrete Dynamics in Nature and Society 2011 (2011): 1–13. http://dx.doi.org/10.1155/2011/673843.
Texto completoDiekmann, O., K. Dietz y J. A. P. Heesterbeek. "The basic reproduction ratio for sexually transmitted diseases: I. theoretical considerations". Mathematical Biosciences 107, n.º 2 (diciembre de 1991): 325–39. http://dx.doi.org/10.1016/0025-5564(91)90012-8.
Texto completoAuger, Pierre, Ali Moussaoui y Gauthier Sallet. "Basic Reproduction Ratio for a Fishery Model in a Patchy Environment". Acta Biotheoretica 60, n.º 1-2 (15 de marzo de 2012): 167–88. http://dx.doi.org/10.1007/s10441-012-9155-3.
Texto completoWang, Haibin y Rui Xu. "Stability and Hopf Bifurcation in an HIV-1 Infection Model with Latently Infected Cells and Delayed Immune Response". Discrete Dynamics in Nature and Society 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/169427.
Texto completoCharles, S., S. Morand, J. L. Chassé y P. Auger. "Host Patch Selection Induced by Parasitism: Basic Reproduction Ratio R0 and Optimal Virulence". Theoretical Population Biology 62, n.º 2 (septiembre de 2002): 97–109. http://dx.doi.org/10.1006/tpbi.2002.1598.
Texto completoХлынин, Э., E. Khlynin, А. Борисов, A. Borisov, В. Фатуев y V. Fatuev. "Definition of Rational Structure of Financing of Process of Innovative Reproduction of the Basic Means of the Enterprise". Scientific Research and Development. Economics 6, n.º 6 (23 de enero de 2019): 54–58. http://dx.doi.org/10.12737/article_5c1b6b094b3a02.03375703.
Texto completoTian, Xiaohong y Rui Xu. "Global Stability of a Virus Infection Model with Time Delay and Absorption". Discrete Dynamics in Nature and Society 2011 (2011): 1–20. http://dx.doi.org/10.1155/2011/152415.
Texto completoTesis sobre el tema "Basic reproduction ratio"
Evcin, Cansu. "Analysis Of Threshold Dynamics Of Epidemic Models In A Periodic Environment". Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615565/index.pdf.
Texto completoMontazeri, Shahtori Narges. "Quantifying the impact of contact tracing on ebola spreading". Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/34540.
Texto completoDepartment of Electrical and Computer Engineering
Faryad Darabi Sahneh
Recent experience of Ebola outbreak of 2014 highlighted the importance of immediate response to impede Ebola transmission at its very early stage. To this aim, efficient and effective allocation of limited resources is crucial. Among standard interventions is the practice of following up with physical contacts of individuals diagnosed with Ebola virus disease -- known as contact tracing. In an effort to objectively understand the effect of possible contact tracing protocols, we explicitly develop a model of Ebola transmission incorporating contact tracing. Our modeling framework has several features to suit early–stage Ebola transmission: 1) the network model is patient–centric because when number of infected cases are small only the myopic networks of infected individuals matter and the rest of possible social contacts are irrelevant, 2) the Ebola disease model is individual–based and stochastic because at the early stages of spread, random fluctuations are significant and must be captured appropriately, 3) the contact tracing model is parameterizable to analyze the impact of critical aspects of contact tracing protocols. Notably, we propose an activity driven network approach to contact tracing, and develop a Monte-Carlo method to compute the basic reproductive number of the disease spread in different scenarios. Exhaustive simulation experiments suggest that while contact tracing is important in stopping the Ebola spread, it does not need to be done too urgently. This result is due to rather long incubation period of Ebola disease infection. However, immediate hospitalization of infected cases is crucial and requires the most attention and resource allocation. Moreover, to investigate the impact of mitigation strategies in the 2014 Ebola outbreak, we consider reported data in Guinea, one the three West Africa countries that had experienced the Ebola virus disease outbreak. We formulate a multivariate sequential Monte Carlo filter that utilizes mechanistic models for Ebola virus propagation to simultaneously estimate the disease progression states and the model parameters according to reported incidence data streams. This method has the advantage of performing the inference online as the new data becomes available and estimating the evolution of the basic reproductive ratio R₀(t) throughout the Ebola outbreak. Our analysis identifies a peak in the basic reproductive ratio close to the time of Ebola cases reports in Europe and the USA.
Libros sobre el tema "Basic reproduction ratio"
Jones, Menna, Chris Dickman y Mike Archer. Predators with Pouches. CSIRO Publishing, 2003. http://dx.doi.org/10.1071/9780643069862.
Texto completoCapítulos de libros sobre el tema "Basic reproduction ratio"
Zhao, Xiao-Qiang. "The Theory of Basic Reproduction Ratios". En CMS Books in Mathematics, 285–315. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56433-3_11.
Texto completoDiekmann, Odo, Hans Heesterbeek y Tom Britton. "The basic reproduction number". En Mathematical Tools for Understanding Infectious Disease Dynamics. Princeton University Press, 2012. http://dx.doi.org/10.23943/princeton/9780691155395.003.0007.
Texto completo"Paddlefish Management, Propagation, and Conservation in the 21st Century". En Paddlefish Management, Propagation, and Conservation in the 21st Century, editado por PATRICK J. BRAATEN, DAVID B. FULLER y RYAN D. LOTT. American Fisheries Society, 2009. http://dx.doi.org/10.47886/9781934874127.ch7.
Texto completoActas de conferencias sobre el tema "Basic reproduction ratio"
WYSE, ANA PAULA P., LUIZ BEVILACQUA y MARAT RAFIKOV. "THE BASIC REPRODUCTION RATIO FOR A MALARIA MODEL". En Proceedings of the International Symposium on Mathematical and Computational Biology. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773685_0014.
Texto completoSoewono, E. y D. Aldila. "A survey of basic reproductive ratios in vector-borne disease transmission modeling". En SYMPOSIUM ON BIOMATHEMATICS (SYMOMATH 2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4914426.
Texto completoRiad, Mahbubul H., Caterina M. Scoglio, D. Scott McVey y Lee W. Cohnstaedt. "Estimation of parameters and basic reproductive ratio for Japanese encephalitis transmission in the Philippines using a sequential Monte Carlo filter". En 2017 IEEE Conference on Control Technology and Applications (CCTA). IEEE, 2017. http://dx.doi.org/10.1109/ccta.2017.8062539.
Texto completoTamtomo, Didik Gunawan y Vitri Widyaningsih. "Determinants of Fertility in Indonesia: An Analysis from Basic Life Survey Data Year 2017". En The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.03.99.
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