Relevant bibliographies by topics / Disease modelling, Systems analysis, epidemiology, Model evaluation

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  1. Journal articles
  2. Dissertations / Theses

Academic literature on the topic 'Disease modelling, Systems analysis, epidemiology, Model evaluation'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Disease modelling, Systems analysis, epidemiology, Model evaluation"

1

Dunaievskyi, M., O. Lefterov, and V. Bolshakov. "Usage of Publicly Available Software for Epidemiological Trends Modelling." Cybernetics and Computer Technologies, no. 3 (October 27, 2020): 32–42. http://dx.doi.org/10.34229/2707-451x.20.3.4.

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Introduction. Outbreaks of infectious diseases and the COVID-19 pandemic in particular pose a serious public health challenge. The other side of the challenge is always opportunity, and today such opportunities are information technology, decision making systems, best practices of proactive management and control based on modern methods of data analysis (data driven decision making) and modeling. The article reviews the prospects for the use of publicly available software in modeling epidemiological trends. Strengths and weaknesses, main characteristics and possible aspects of application are
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Hoi, Amber Gigi, Ludovic K. N’Tcha, Claudia Duguay, et al. "Health systems impacts of the COVID-19 pandemic on malaria control program implementation and malaria burden in Benin: A mixed-method qualitative and mathematical modelling and study." PLOS Global Public Health 4, no. 2 (2024): e0002197. http://dx.doi.org/10.1371/journal.pgph.0002197.

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The COVID-19 pandemic has sent ripple effects across health systems and impacted the burden of many other diseases, such as malaria in sub-Saharan Africa. This study takes a mixed method approach to assess the impact of COVID-19 on malaria control programs in three rural communes in Benin. We conducted individual semi-structured interviews with key informants who play important roles in malaria control in Benin at three levels of the health system–national, health zone, and commune. Using a purposive sampling technique, informants were interviewed regarding their roles in malaria control, the
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3

LUZ, P. M., C. T. CODEÇO, G. L. WERNECK, and C. J. STRUCHINER. "A modelling analysis of pertussis transmission and vaccination in Rio de Janeiro, Brazil." Epidemiology and Infection 134, no. 4 (2005): 850–62. http://dx.doi.org/10.1017/s095026880500539x.

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Pertussis is an infectious respiratory disease for which mass vaccination is an effective preventive strategy. In many developed countries, where high vaccination coverage has been maintained for approximately 50 years, re-emergence of the disease has been observed in all age groups. In the municipality of Rio de Janeiro (RJ), where vaccination started in the 1980s, surveillance data show no sign of disease re-emergence. We developed a mathematical model that incorporates the major demographic aspects of a large urban centre in a developing nation, in addition to the most important epidemiolog
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Lau, Max S. Y., Glenn Marion, George Streftaris, and Gavin J. Gibson. "New model diagnostics for spatio-temporal systems in epidemiology and ecology." Journal of The Royal Society Interface 11, no. 93 (2014): 20131093. http://dx.doi.org/10.1098/rsif.2013.1093.

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A cardinal challenge in epidemiological and ecological modelling is to develop effective and easily deployed tools for model assessment. The availability of such methods would greatly improve understanding, prediction and management of disease and ecosystems. Conventional Bayesian model assessment tools such as Bayes factors and the deviance information criterion (DIC) are natural candidates but suffer from important limitations because of their sensitivity and complexity. Posterior predictive checks, which use summary statistics of the observed process simulated from competing models, can pro
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Vychuzhanin, Vladimir, Alexey Vychuzhanin, Olga Guzun, and Oleg Zadorozhny. "Mathematical modelling of eye condition in glaucoma: Approaches to parameter analysis and their interactions." Information Technology and Computer Engineering 22, no. 1 (2025): 10–19. https://doi.org/10.63341/vitce/1.2025.09.

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Mathematical modelling of physiological processes is a key component of intelligent medical systems, as it describes disease mechanisms in greater detail and contributes to early diagnosis. This study presents an analytical model for assessing eye health, incorporating key ophthalmological parameters: intraocular pressure (IOP), perfusion coefficient (Pperf), best-corrected visual acuity (BCVA), visual field index (VFI), retinal nerve fibre layer thickness (RNFL), and neuroretinal rim area (Rim_area). The study aimed to develop a model that can accurately evaluate the nonlinear interactions be
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6

Knight‐Jones, T. J. D., L. Robinson, B. Charleston, et al. "Global Foot-and-Mouth Disease Research Update and Gap Analysis: 2 – Epidemiology, Wildlife and Economics." Transboundary and Emerging Diseases 63, S1 (2016): 14–29. https://doi.org/10.5281/zenodo.13535509.

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(Uploaded by Plazi for the Bat Literature Project) We assessed knowledge gaps in foot-and-mouth disease (FMD) research, and in this study, we consider (i) epidemiology, (ii) wildlife and (iii) economics. The study took the form of a literature review (2011–2015) combined with research updates collected in 2014 from 33 institutes from across the world. Findings were used to identify priority areas for future FMD research. During 2011–2015, modelling studies were dominant in the broad field of epidemiology; however, continued efforts are required to develop robust models for use during outbreaks
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Knight‐Jones, T. J. D., L. Robinson, B. Charleston, et al. "Global Foot-and-Mouth Disease Research Update and Gap Analysis: 2 – Epidemiology, Wildlife and Economics." Transboundary and Emerging Diseases 63, S1 (2016): 14–29. https://doi.org/10.5281/zenodo.13535509.

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(Uploaded by Plazi for the Bat Literature Project) We assessed knowledge gaps in foot-and-mouth disease (FMD) research, and in this study, we consider (i) epidemiology, (ii) wildlife and (iii) economics. The study took the form of a literature review (2011–2015) combined with research updates collected in 2014 from 33 institutes from across the world. Findings were used to identify priority areas for future FMD research. During 2011–2015, modelling studies were dominant in the broad field of epidemiology; however, continued efforts are required to develop robust models for use during outbreaks
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8

Li, Wen-Guang. "Ultrasound Image Based Human Gallbladder 3D Modelling along with Volume and Stress Level Assessment." Journal of Medical and Biological Engineering 40, no. 1 (2019): 112–27. http://dx.doi.org/10.1007/s40846-019-00493-8.

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Abstract Purpose Three-dimensional (3D) gallbladder (GB) geometrical models are essential to GB motor function evaluation and GB wall biomechanical property identification by employing finite element analysis (FEA) in GB disease diagnosis with ultrasound systems. Methods for establishing such 3D geometrical models based on static two-dimensional (2D) ultrasound images scanned along the long-axis/sagittal and short-axis/transverse cross-sections in routine GB disease diagnosis at the beginning of emptying phase have not been documented in the literature so far. Methods Based on two custom MATLA
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Farkouh, Raymond, Arianna Nevo, Jennifer Uyei, et al. "1384. Conceptual Economic Model Methodology for Infant Pneumococcal Conjugate Vaccine Program and its Impact on Antimicrobial Resistance." Open Forum Infectious Diseases 7, Supplement_1 (2020): S701—S702. http://dx.doi.org/10.1093/ofid/ofaa439.1566.

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Abstract Background Antimicrobial resistance (AMR) is a global threat to effective prevention and treatment of an ever-increasing range of infections. Pneumococcal conjugate vaccines (PCV) used in infant national immunization programs have been shown to decrease AMR pneumococci. Cost-effectiveness models evaluating the value for money of PCV programs have not considered the economic impact of reducing antimicrobial prescribing or prolonged infections due to treatment failures. Standardized frameworks are needed for models to address outcomes and impact on health resource utilization related to
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Hilton, Joe, Heather Riley, Lorenzo Pellis, et al. "A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic." PLOS Computational Biology 18, no. 9 (2022): e1010390. http://dx.doi.org/10.1371/journal.pcbi.1010390.

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The widespread, and in many countries unprecedented, use of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic has highlighted the need for mathematical models which can estimate the impact of these measures while accounting for the highly heterogeneous risk profile of COVID-19. Models accounting either for age structure or the household structure necessary to explicitly model many NPIs are commonly used in infectious disease modelling, but models incorporating both levels of structure present substantial computational and mathematical challenges due to their high dimensional
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Dissertations / Theses on the topic "Disease modelling, Systems analysis, epidemiology, Model evaluation"

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JI, TAO. "Epidemiology and modeling of grape diseases related to China." Doctoral thesis, Università Cattolica del Sacro Cuore, 2022. http://hdl.handle.net/10280/115284.

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L’antracnosi della vite (causato da Elsinoe ampelina), il mariciume dell’uva (o ripe rot causato da Colletotrichum spp.) e la carie bianca (o white rot causato da Coniella diplodiella) sono malattie che minacciano seriamente la produzione viticola in Cina. Infatti, il loro controllo implica la ripetuta applicazione di fungicidi durante la stagione produttiva. Nella presente tesi, le conoscenze disponibili sull’antracnosi e il marciume dell’uva (ripe rot) sono state raccolte dalla letteratura, analizzate e sintetizzate attraverso l’analisi dei sistemi, per sviluppare modelli meccanicistici in c
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SALOTTI, IRENE. "Development of epidemiological models for wheat and legumes in crop rotation." Doctoral thesis, Università Cattolica del Sacro Cuore, 2022. http://hdl.handle.net/10280/115282.

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In patologia vegetale, un modello epidemiologico è una rappresentazione semplificata delle relazioni tra patogeno, ospite e ambiente che determinano se, quando e come un’epidemia si sviluppa nel tempo. La presente tesi raccoglie lo sviluppo di modelli meccanicistici, dinamici, guidati da variabili ambientali (weather-driven), che possono essere utilizzati per la difesa di precisione dalle principali malattie di frumento e leguminose in rotazione colture. Tramite l’applicazione dell’analisi dei sistemi alle informazioni contenute nella letteratura scientifica, ogni patosistema è stato analizzat
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Journal articles
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