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Relevant bibliographies by topics / Epidemiological dynamics

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Academic literature on the topic 'Epidemiological dynamics'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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Journal articles on the topic "Epidemiological dynamics"

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Pinto, Alberto, Maíra Aguiar, José Martins, and Nico Stollenwerk. "Dynamics of Epidemiological Models." Acta Biotheoretica 58, no. 4 (2010): 381–89. http://dx.doi.org/10.1007/s10441-010-9116-7.

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Popa, Alexandra, Jakob-Wendelin Genger, Michael D. Nicholson, et al. "Genomic epidemiology of superspreading events in Austria reveals mutational dynamics and transmission properties of SARS-CoV-2." Science Translational Medicine 12, no. 573 (2020): eabe2555. http://dx.doi.org/10.1126/scitranslmed.abe2555.

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Superspreading events shaped the coronavirus disease 2019 (COVID-19) pandemic, and their rapid identification and containment are essential for disease control. Here, we provide a national-scale analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) superspreading during the first wave of infections in Austria, a country that played a major role in initial virus transmissions in Europe. Capitalizing on Austria’s well-developed epidemiological surveillance system, we identified major SARS-CoV-2 clusters during the first wave of infections and performed deep whole-genome sequen

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Otoo, Henry, Lewis Brew, and Benjamin Dadzie-Mensah. "Epidemiological Modelling of Yellow Fever Dynamics." Asian Research Journal of Mathematics 20, no. 8 (2024): 119–41. http://dx.doi.org/10.9734/arjom/2024/v20i8821.

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Aims: Yellow fever is a severe and often fatal viral illness caused by the yellow fever virus Despite being largely overlooked, yellow fever continues to silently claim lives in many parts of the world. The study focuses on the epidemiological modelling of yellow fever dynamics between a host (human) and vector (mosquito) populations The human population was divided into five main compartments: Susceptible, Exposed, Infected, Isolated, and Recovered. The vector population was also divided into two compartments: Susceptible and Infected. Nonlinear differential equations describing these compart

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Booton, Ross D., Yoh Iwasa, and Dylan Z. Childs. "How do toxicants affect epidemiological dynamics?" Oikos 128, no. 5 (2018): 729–40. http://dx.doi.org/10.1111/oik.05654.

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Rumyantseva, M. A., and N. V. Isaeva. "Modern epidemiological characteristic of gonococcal infection incidence manifestations." Perm Medical Journal 36, no. 4 (2019): 74–81. http://dx.doi.org/10.17816/pmj36474-81.

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Aim. To carry out the epidemiological analysis and assessment of manifestations of gonococcal infection incidence on the model of the city of Perm. Materials and methods. Retrospective analysis of gonococcal infection morbidity indices was implemented on the basis of the data of official statistics of Federal Budgetary Healthcare Institution Center of Hygiene and Epidemiology of Perm Krai for the years 19902016 (form 2, form 12), Territorial Board of Federal Service of State Statistics of Perm Krai (Permstat) and State Budgetary Institution of Healthcare of Perm Krai Regional Clinical De

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Erten, E., Joseph Lizier, Mahendra Piraveenan, and Mikhail Prokopenko. "Criticality and Information Dynamics in Epidemiological Models." Entropy 19, no. 5 (2017): 194. http://dx.doi.org/10.3390/e19050194.

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Boles, Annette, Ramesh Kandimalla, and P. Hemachandra Reddy. "Dynamics of diabetes and obesity: Epidemiological perspective." Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease 1863, no. 5 (2017): 1026–36. http://dx.doi.org/10.1016/j.bbadis.2017.01.016.

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Bate, Andrew M., and Frank M. Hilker. "Complex Dynamics in an Eco-epidemiological Model." Bulletin of Mathematical Biology 75, no. 11 (2013): 2059–78. http://dx.doi.org/10.1007/s11538-013-9880-z.

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Kang, G., L. Gunaseelan, and K. Abbas. "Epidemiological dynamics of bovine brucellosis in India." Annals of Global Health 81, no. 1 (2015): 127. http://dx.doi.org/10.1016/j.aogh.2015.02.793.

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Xia, Bjørnstad, and Grenfell. "Measles Metapopulation Dynamics: A Gravity Model for Epidemiological Coupling and Dynamics." American Naturalist 164, no. 2 (2004): 267. http://dx.doi.org/10.2307/3473444.

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Dissertations / Theses on the topic "Epidemiological dynamics"

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Wang, Zhenggang. "Studies of epidemiological and evolutionary dynamics of influenza." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/b40203827.

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Wang, Zhenggang, and 王正剛. "Studies of epidemiological and evolutionary dynamics of influenza." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/b40203827.

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Lourenço, José. "Unifying the epidemiological, ecological and evolutionary dynamics of Dengue." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:cb4db8dd-5467-4c6e-8d3e-3e0fe738bc0a.

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In under 6 decades dengue has emerged from South East Asia to become the most widespread arbovirus affecting human populations. Recent dramatic increases in epidemic dengue fever have mainly been attributed to factors such as vector expansion and ongoing ecological, climate and socio-demographic changes. The failure to control the virus in endemic regions and prevent global spread of its mosquito vectors and genetic variants, underlines the urgency to reassess previous research methods, hypotheses and empirical observations. This thesis comprises a set of studies that integrate currently negle

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Beyer, Hawthorne L. "Epidemiological models of rabies in domestic dogs : dynamics and control." Thesis, University of Glasgow, 2010. http://theses.gla.ac.uk/2017/.

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Epidemiological models are frequently used to estimate basic parameters, evaluate alternative control strategies, and set levels for control measures such as vaccination, culling, or quarantine. However, inferences drawn from these models are sensitive to the assumptions upon which they are based. While many simple models provide qualitative insights into disease dynamics and control, they may not fully capture the mechanisms driving transmission dynamics and, therefore, may not be reasonable approximations of reality. This thesis examines how the predictions made by simple models are influenc

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Taylor, Timothy John. "Model development and analysis techniques for epidemiological and neurobiological dynamics on networks." Thesis, University of Sussex, 2014. http://sro.sussex.ac.uk/id/eprint/48758/.

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The interaction of entities on a network structure is of significant importance to many disciplines. Network structures can have both physical (e.g. power grids, computer networks, the World Wide Web, networks of neurones) and non-physical (e.g. social networks of friends, links between communities, the movement of livestock) realisations that are all amenable to study. In this thesis work on dynamical processes and the networks on which they occur is presented from a viewpoint of both mathematical epidemiology and computational/theoretical neuroscience, with additional consideration of the in

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Beckley, Nicholas. "Epidemiological dynamics of Mycobacterium bovis and population suppression in badgers (Meles meles)." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/49412.

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Bovine TB in cattle is a major economic problem in the UK, costing the government approximately £100m a year. Badgers are a wildlife host of the infection that causes bovine TB, and there is strong evidence that they transmit the infection to cattle. Understanding the ecology and epidemiology of infected badger populations is therefore crucial for implementing disease management strategies relating to badgers. Genetic and phenotypic data of badgers captured during a large-scale field trial of repeated, widespread badger culls were used to assess the importance of parental roles on the impacts

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Raghwani, Jayna. "Revealing the evolutionary history and epidemiological dynamics of emerging RNA viral pathogens." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/5859.

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Fast-evolving RNA viruses are a leading cause of morbidity and mortality among human and animal populations, contributing significantly to both global health and economic burden. The advent and revolution of high-throughput sequencing has empowered phylogenetic analyses with increasing amounts of temporally and spatially sampled viral data. Moreover, the parallel advancement in molecular evolution and phylogenetic methods has provided investigators with a unique opportunity to gain detailed insight into the evolutionary and epidemiological dynamics of emerging viral pathogens. Using state-of-t

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Vyska, Martin. "Analysis of epidemiological models for disease control in single and multiple populations under resource constraints." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/276746.

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Efficient management of epidemics is one of the primary motivations for computational modelling of disease dynamics. Examples range from reactive control measures, where the resources used to manage the epidemic in real time may be limited to prophylactic control measures such as deployment of genetically resistant plant varieties, which may lead to economic trade-offs. In such situations the question is how should resources for disease control be deployed to ensure the efficient management of the epidemic. Mathematical models are a powerful tool to investigate such questions since experiments

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Ahmad, Nura Mohammad Rabiu. "Multiapproach computational modelling of tuberculosis : understanding its epidemiological dynamics for improving its control in Nigeria." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/669442.

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Tuberculosis (TB) is an infectious disease that is considered to be the biggest killer of mankind in the history of infectious diseases. There are still more than 10 million new TB cases every year and it causes more than 1.5 million deaths annually, according to World Health Organization estimates. Nigeria, with a persistent incidence of about 219 cases per 100000 inhabitants on 2019, is among the 8 countries that accounted for two-thirds of the new TB cases in 2018. The control of the disease in this country is coordinated by the National Tuberculosis and Leprosy Control Program (NTBLCP). De

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Pacioni, Carlo. "The population and epidemiological dynamics associated with recent decline of woylies (Bettongia penicillata) in Australia." Thesis, Pacioni, Carlo (2010) The population and epidemiological dynamics associated with recent decline of woylies (Bettongia penicillata) in Australia. PhD thesis, Murdoch University, 2010. https://researchrepository.murdoch.edu.au/id/eprint/4359/.

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The woylie or brush‐tailed bettong (Bettongia penicillata ogilbyi) has recently undergone a dramatic decline (approximately 80% between 2001 and 2006). The Woylie Conservation and Research Project (WCRP) was established to investigate possible causes of this decline. It was hypothesised that predators and/or a disease may be a concomitant cause if not the primary cause(s) of the decline, based on the peculiar temporal and spatial characteristics of the decline and available associative evidence. This research project is an integrated and collaborative component of the WCRP and its broad aim

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Books on the topic "Epidemiological dynamics"

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Mondaini, Rubem P., ed. Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33050-6.

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1936-, May Robert M., ed. Infectious diseases of humans: Dynamics and control. Oxford University Press, 1991.

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Inc, ebrary, ed. Dynamical modeling and analysis of epidemics. World Scientific, 2009.

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Per, Sjögren-Gulve, and Ebenhard Torbjörn, eds. The use of population viability analyses in conservation planning. Munksgaard International Publishers, 2000.

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Barbara, Entwisle, Stern Paul C. 1944-, National Research Council (U.S.). Panel on New Research on Population and the Environment., and National Research Council (U.S.). Committee on the Human Dimensions of Global Change., eds. Population, land use, and environment: Research directions. National Academies Press, 2005.

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Goldstone, Jack A. Revolution and rebellion in the early modern world. University of California Press, 1991.

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M, Prescott Nicholas, ed. Choices in financing health care and old age security: Proceedings of a conference sponsored by the Institute of Policy Studies, Singapore, and the World Bank, November 8, 1997. The World Bank, 1998.

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1948-, Hernandez Donald J., Charney Evan, and National Research Council (U.S.). Committee on the Health and Adjustment of Immigrant Children and Families., eds. From generation to generation: The health and well-being of children in immigrant families. National Academy Press, 1998.

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G, Coward Harold, ed. Population, consumption, and the environment: Religious and secular responses. State University of New York Press, 1995.

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Trends in Biomathematics : Modeling Epidemiological, Neuronal, and Social Dynamics: Selected Works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil 2022. Springer, 2023.

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Book chapters on the topic "Epidemiological dynamics"

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Anthony, James C. "Epidemiological dynamics of addiction." In APA addiction syndrome handbook, Vol. 1: Foundations, influences, and expressions of addiction. American Psychological Association, 2012. http://dx.doi.org/10.1037/13751-004.

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Crandall, Keith A., and Marcos Pérez-Losada. "Epidemiological and Evolutionary Dynamics of Pathogens." In Evolutionary Biology of Bacterial and Fungal Pathogens. ASM Press, 2014. http://dx.doi.org/10.1128/9781555815639.ch3.

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Colangeli, Matteo, and Adrian Muntean. "Toward a Quantitative Reduction of the SIR Epidemiological Model." In Crowd Dynamics, Volume 3. Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-030-91646-6_8.

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Fleßa, S. "A System Dynamics Model of the Epidemiological Transition." In Operations Research Proceedings. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17022-5_31.

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Jana, Chandan, Dilip Kumar Maiti, and Atasi Patra Maiti. "Role of Additional Food in a Delayed Eco-Epidemiological Model with the Fear-Effect." In Nonlinear Dynamics and Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99792-2_60.

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Kovács, Sándor, Szilvia György, and Noémi Gyúró. "Dynamics of an SIS Epidemic Model with No Vertical Transmission." In Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33050-6_1.

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Macrelli, Roberto, Margherita Carletti, and Vicenzo Fano. "Cultural and Biological Transmission: A Simple Case of Evolutionary Discrete Dynamics." In Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33050-6_10.

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Allali, Karam. "On Time-Delayed Two-Strain Epidemic Model with General Incidence Rates and Therapy." In Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33050-6_14.

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Chatterjee, Anal, and Suchandra Ganguly. "Modeling the Impact of Media Coverage on the Spread of Infectious Diseases: The Curse of the Twenty-First Century." In Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33050-6_9.

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Hajhouji, Zakaria, Majda El Younoussi, Khalid Hattaf, and Noura Yousfi. "Mathematical Modeling and Numerical Analysis of HIV-1 Infection with Long-Lived Infected Cells During Combination Therapy and Humoral Immunity." In Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33050-6_6.

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Conference papers on the topic "Epidemiological dynamics"

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Kosovych, Ihor, Igor Cherevko, Tetiana Shchur, and Dmytro Shkilniuk. "Computer Modeling of the Dynamics of Epidemiological Processes." In 2024 14th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2024. http://dx.doi.org/10.1109/acit62333.2024.10712524.

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Rancati, Simone, Daniele Pala, Simone Marini, Marco Salemi, Riccardo Bellazzi, and Giovanna Nicora. "Sequencing Efforts and Epidemiological Trends: Analyzing SARS-CoV-2 Dynamics Across European Nations." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822644.

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Purnomo, Anna Silvia, Isnani Darti, and Agus Suryanto. "Dynamics of eco-epidemiological model with harvesting." In INTERNATIONAL CONFERENCE AND WORKSHOP ON MATHEMATICAL ANALYSIS AND ITS APPLICATIONS (ICWOMAA 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5016652.

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Attia, A. M., D. M. Zahran, M. M. Abdelwahab, N. A. Mohamed, A. M. AbdelAty, and A. G. Radwan. "Fractional-order DISPR model for the AIDS epidemiological dynamics." In 2017 European Conference on Circuit Theory and Design (ECCTD). IEEE, 2017. http://dx.doi.org/10.1109/ecctd.2017.8093245.

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Todorova, Gergana, and Anastasios Noulas. "Exploiting Population Activity Dynamics to Predict Urban Epidemiological Incidence." In DPH2019: 9th International Digital Public Health Conference (2019). ACM, 2019. http://dx.doi.org/10.1145/3357729.3357735.

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Nguyen, Thanh, Abbas Khosravi, Douglas Creighton, and Saeid Nahavandi. "Epidemiological dynamics modeling by fusion of soft computing techniques." In 2013 International Joint Conference on Neural Networks (IJCNN). IEEE, 2013. http://dx.doi.org/10.1109/ijcnn.2013.6707048.

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Suryanto, Agus. "Dynamics of an eco-epidemiological model with saturated incidence rate." In SYMPOSIUM ON BIOMATHEMATICS (SYMOMATH 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4978990.

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Cerdeira de Oliveira, Kamilla, Danilo de Santana Chui, and Gustavo Cunha da Silva Neto. "System Identification and Optimal Control for COVID-19 Epidemiological Dynamics in Amazonas State, Brazil." In XIX International Symposium on Dynamic Problems of Mechanics. ABCM, 2023. http://dx.doi.org/10.26678/abcm.diname2023.din2023-0056.

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Ashwin, Anbulinga Raja, Muthuradhinam Sivabalan, Arumugam Divya, and Manickasundaram Siva Pradeep. "Dynamics of Beddington–DeAngelis Type Eco-Epidemiological Model with Prey Refuge and Prey Harvesting." In The 4th International Electronic Conference on Applied Sciences. MDPI, 2023. http://dx.doi.org/10.3390/asec2023-15691.

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Lefanova, I. V., and T. V. Smirnova. "OVERVIEW OF COMPARTMENT MODELS OF INFECTIOUS DISEASES PREVALENCE DYNAMICS." In SAKHAROV READINGS 2021: ENVIRONMENTAL PROBLEMS OF THE XXI CENTURY. International Sakharov Environmental Institute of Belarusian State University, 2021. http://dx.doi.org/10.46646/sakh-2021-2-415-418.

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Compartmental models are used for mathematical modeling and subsequent computational experiment of the dynamics of the spread of infectious diseases. The initial population is divided into isolated compartments (compartments), individuals move between the compartments in accordance with the specified parameters. These models most often work with systems of ordinary differential equations and are used to predict the spread of infectious diseases, the duration of epidemics, make it possible to estimate various epidemiological parameters, and, by introducing the necessary compartments, make it po

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Reports on the topic "Epidemiological dynamics"

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Carruth, Lauren. Key Considerations: Social, Structural and Community Dynamics of Cholera Transmission and Mortality in Ethiopia. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/sshap.2024.004.

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The current cholera outbreak in the Federal Democratic Republic of Ethiopia began in August 2022. As of April 2024, active outbreaks had been recorded in most regions of the country, including: Amhara; Dire Dawa; Harari; Oromia; Southern Nations, Nationalities and Peoples’ Region (SNNPR); Somali and Tigray. This brief has been developed to support response efforts by exploring the social and structural determinants and community dynamics of cholera infection and mortality in Ethiopia. Socio-cultural and epidemiological information, academic and grey literature and consultations with cholera re

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Niederberger, Eva, Leah Tanner, and Soha Karam. Key Considerations: Socio-Behavioural Insight For Community-Centred Cholera Preparedness And Response In Mozambique, 2023. Institute of Development Studies, 2023. http://dx.doi.org/10.19088/sshap.2023.002.

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The current cholera outbreak in Mozambique started on 14 September 2022, when the first case was reported in Niassa Province. As of March 2023, 30 districts from six provinces had reported cases. This brief explores socio-behavioural determinants including local knowledge, perceptions, practices, and structural factors influencing cholera transmission dynamics. The brief has been developed to support response actors develop prevention and control strategies to rapidly contain the outbreak and prepare for a potential scaling up of the response in view of the imminent rainy season. It emphasises

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Hakmeh, Joyce, Emily Taylor, Allison Peters, and Sophia Ignatidou. The COVID-19 pandemic and trends in technology. Royal Institute of International Affairs, 2021. http://dx.doi.org/10.55317/9781784134365.

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Focusing on the dynamics between governments and big tech, on cybercrime, and on disinformation and fake news, this paper examines some of the risks that have been highlighted and aggravated as societies have transitioned at speed to a more virtual way of living. The COVID-19 pandemic has been called the ‘great accelerator’ of digital transformation, with technology at the forefront of countries’ response to the crisis. The experience of the past year has underscored that tech governance must be based on human-centric values that protect the rights of individuals but also work towards a public

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