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Books on the topic 'Epidemiological modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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1

S, Cooper B., and National Co-ordinating Centre for HTA (Great Britain), eds. Systematic review of isolation policies in the hospital management of methicillin-resistant staphylococcus aureus: A review of the literature with epidemiological and economic modelling. Tunbridge Wells: Gray Publishing, on behalf of NCCHTA, 2003.

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2

Michel, Tchuenche Jean, ed. Infectious disease modelling research progress. Hauppauge, NY: Nova Science Publishers, 2009.

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3

Manton, Kenneth G. Chronic disease modelling: Measurement and evaluation of the risks of chronic disease processes. London: Charles Griffin & Co. Ltd., 1988.

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4

Eric, Stallard, ed. Chronic disease modelling: Measurement and evaluation of the risks of chronic disease processes. London: Charles Griffin & Co., 1988.

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5

George, Christakos, ed. Interdisciplinary public health reasoning and epidemic modelling: The case of Black Death. Berlin: Springer, 2005.

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6

Intelligent Modelling Prediction and Diagnosis from Epidemiological Data. Taylor & Francis Group, 2021.

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7

Bhattacharyya, Siddhartha. Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond. CRC Press LLC, 2021.

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8

Bhattacharyya, Siddhartha. Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond. Taylor & Francis Group, 2021.

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9

Bhattacharyya, Siddhartha. Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond. Taylor & Francis Group, 2021.

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10

Bhattacharyya, Siddhartha. Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond. Taylor & Francis Group, 2021.

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11

Health Impacts of Climate Change and Ozone Depletion: An Eco-Epidemiological Modelling Approach. Koninklijk Instituut, Netherlands, 1997.

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12

Linati, Paolo, and Rossella Della Marca. Vaccinazione Nei Modelli Epidemiologici: Da Bernoulli a Oggi. Independently Published, 2020.

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13

O'Hagan, Anthony, and Mike West, eds. The Oxford Handbook of Applied Bayesian Analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.001.0001.

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Abstract:
This handbook discusses various applications of modern Bayesian analysis in important and challenging problems. With contributions from leading researchers and practitioners in interdisciplinary Bayesian analysis, the book highlights current frontiers of research in each application. Each chapter involves a concise review of the application area, describes the problem contexts and goals, discusses aspects of the data and overall statistical issues, and offers detailed analysis with relevant Bayesian models and methods. The book is organised into five sections based on the field of application, namely: Biomedical and Health Sciences; Industry, Economics and Finance; Environment and Ecology; Policy, Political and Social Sciences; and Natural and Engineering Sciences. Topics range from an epidemiological study involving pregnancy outcomes, to matching and alignment of biomolecules; pharmaceutical testing from multiple clinical trials concerned with side-effects and adverse events; malaria mapping in the Amazon rain forest; risk assessment of contamination of farm-pasteurized milk with the bacterium Vero-cytotoxigenic E. coli (VTEC) O157; Bayesian analysis and decision making in the maintenance and reliability of nuclear power plants; risk modelling regarding speculative trading strategies in financial futures markets; the use of hierarchical models to characterize the uncertainty of climate change projections; and the use of multistate models for mental fatigue.
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14

Modelling Potential Malaria Spread In Germany By Use Of Climate Change Projections A Risk Assessment Approach Coupling Epidemiologic And Geostatistical Measures. Springer International Publishing AG, 2014.

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15

Schröder, Winfried, and Gunther Schmidt. Modelling Potential Malaria Spread in Germany by Use of Climate Change Projections: A Risk Assessment Approach Coupling Epidemiologic and Geostatistical Measures. Springer London, Limited, 2013.

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16

Christakos, George, Ricardo A. Olea, Marc L. Serre, Hwa-Lung Yu, and Lin-Lin Wang. Interdisciplinary Public Health Reasoning and Epidemic Modelling: The Case of Black Death. Springer, 2010.

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17

Christakos, George, Ricardo A. Olea, Marc L. Serre, Hwa-Lung Yu, and Lin-Lin Wang. Interdisciplinary Public Health Reasoning and Epidemic Modelling: The Case of Black Death. Springer, 2005.

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18

An Introduction to Mathematical Epidemiology. Springer, 2015.

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