Applications of epidemiological models to public health policymaking :: the role of heterogeneity in model predictions /
Mathematical models can be very helpful to understand the transmission dynamics of infectious diseases. This book presents examples of epidemiological models and modeling tools that can assist policymakers to assess and evaluate disease control strategies.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New Jersey :
World Scientific,
[2014]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Mathematical models can be very helpful to understand the transmission dynamics of infectious diseases. This book presents examples of epidemiological models and modeling tools that can assist policymakers to assess and evaluate disease control strategies. |
| Beschreibung: | 1 online resource (xiii, 291 pages) : illustrations |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9789814522359 981452235X |
Internformat
MARC
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| 100 | 1 | |a Feng, Zhilan, |d 1959- |e author. |1 https://id.oclc.org/worldcat/entity/E39PBJk8YFCgjq36h4YDwgmrv3 |0 http://id.loc.gov/authorities/names/n2006034687 | |
| 245 | 1 | 0 | |a Applications of epidemiological models to public health policymaking : |b the role of heterogeneity in model predictions / |c by Zhilan Feng, Purdue University, USA. |
| 264 | 1 | |a New Jersey : |b World Scientific, |c [2014] | |
| 264 | 4 | |c ©2014 | |
| 300 | |a 1 online resource (xiii, 291 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 1. Epidemic models. 1.1. Continuous-time models. 1.2. Discrete-time models -- 2. Endemic models. 2.1. Classical SIR and SEIR endemic models. 2.2. Multi-group models and the role of mixing. 2.3. Multiple pathogen strains and host types. 2.4. Age-structured models. 2.5. Models with non-exponentially distributed stages durations. 2.6. Oscillatory dynamic created by isolation. 2.7. Coupled dynamics of biological processes -- 3. Applications of models to evaluations of disease control strategies. 3.1. Influenza. 3.2. SARS. 3.3. Tuberculosis. 3.4. Schistosomiasis. 3.5. Synergy between HSV-2 and HIV -- 4. Development of interactive tools to assist public health policymaking. 4.1. An interactive tool for policymaking in disease control. | |
| 520 | |a Mathematical models can be very helpful to understand the transmission dynamics of infectious diseases. This book presents examples of epidemiological models and modeling tools that can assist policymakers to assess and evaluate disease control strategies. | ||
| 650 | 0 | |a Epidemiology |x Mathematical models. | |
| 650 | 0 | |a Communicable diseases |x Epidemiology |x Mathematical models. | |
| 650 | 0 | |a Health risk assessment |x Government policy. | |
| 650 | 0 | |a Public health surveillance. |0 http://id.loc.gov/authorities/subjects/sh91006354 | |
| 650 | 6 | |a Épidémiologie |x Modèles mathématiques. | |
| 650 | 6 | |a Maladies infectieuses |x Épidémiologie |x Modèles mathématiques. | |
| 650 | 6 | |a Risques pour la santé |x Évaluation |x Politique gouvernementale. | |
| 650 | 6 | |a Santé publique |x Surveillance. | |
| 650 | 7 | |a MEDICAL |x Forensic Medicine. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Preventive Medicine. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Public Health. |2 bisacsh | |
| 650 | 7 | |a Communicable diseases |x Epidemiology |x Mathematical models |2 fast | |
| 650 | 7 | |a Epidemiology |x Mathematical models |2 fast | |
| 650 | 7 | |a Health risk assessment |x Government policy |2 fast | |
| 650 | 7 | |a Public health surveillance |2 fast | |
| 758 | |i has work: |a Applications of epidemiological models to public health policymaking (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFMWrJqJjJHcqkCTbRWjQ3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Feng, Zhilan, 1959- |t Applications of epidemiological models to public health policymaking. |d [Hackensack,] New Jersey : World Scientific, [2014] |z 9789814522342 |w (DLC) 2013050475 |w (OCoLC)868000272 |
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| author | Feng, Zhilan, 1959- |
| author_GND | http://id.loc.gov/authorities/names/n2006034687 |
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| callnumber-raw | RA652.2.M3 F46 2014eb |
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| contents | 1. Epidemic models. 1.1. Continuous-time models. 1.2. Discrete-time models -- 2. Endemic models. 2.1. Classical SIR and SEIR endemic models. 2.2. Multi-group models and the role of mixing. 2.3. Multiple pathogen strains and host types. 2.4. Age-structured models. 2.5. Models with non-exponentially distributed stages durations. 2.6. Oscillatory dynamic created by isolation. 2.7. Coupled dynamics of biological processes -- 3. Applications of models to evaluations of disease control strategies. 3.1. Influenza. 3.2. SARS. 3.3. Tuberculosis. 3.4. Schistosomiasis. 3.5. Synergy between HSV-2 and HIV -- 4. Development of interactive tools to assist public health policymaking. 4.1. An interactive tool for policymaking in disease control. |
| ctrlnum | (OCoLC)880147542 |
| dewey-full | 614.4 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 614 - Forensic medicine; incidence of disease |
| dewey-raw | 614.4 |
| dewey-search | 614.4 |
| dewey-sort | 3614.4 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
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| illustrated | Illustrated |
| indexdate | 2024-11-27T13:25:59Z |
| institution | BVB |
| isbn | 9789814522359 981452235X |
| language | English |
| oclc_num | 880147542 |
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| spelling | Feng, Zhilan, 1959- author. https://id.oclc.org/worldcat/entity/E39PBJk8YFCgjq36h4YDwgmrv3 http://id.loc.gov/authorities/names/n2006034687 Applications of epidemiological models to public health policymaking : the role of heterogeneity in model predictions / by Zhilan Feng, Purdue University, USA. New Jersey : World Scientific, [2014] ©2014 1 online resource (xiii, 291 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references. Print version record. 1. Epidemic models. 1.1. Continuous-time models. 1.2. Discrete-time models -- 2. Endemic models. 2.1. Classical SIR and SEIR endemic models. 2.2. Multi-group models and the role of mixing. 2.3. Multiple pathogen strains and host types. 2.4. Age-structured models. 2.5. Models with non-exponentially distributed stages durations. 2.6. Oscillatory dynamic created by isolation. 2.7. Coupled dynamics of biological processes -- 3. Applications of models to evaluations of disease control strategies. 3.1. Influenza. 3.2. SARS. 3.3. Tuberculosis. 3.4. Schistosomiasis. 3.5. Synergy between HSV-2 and HIV -- 4. Development of interactive tools to assist public health policymaking. 4.1. An interactive tool for policymaking in disease control. Mathematical models can be very helpful to understand the transmission dynamics of infectious diseases. This book presents examples of epidemiological models and modeling tools that can assist policymakers to assess and evaluate disease control strategies. Epidemiology Mathematical models. Communicable diseases Epidemiology Mathematical models. Health risk assessment Government policy. Public health surveillance. http://id.loc.gov/authorities/subjects/sh91006354 Épidémiologie Modèles mathématiques. Maladies infectieuses Épidémiologie Modèles mathématiques. Risques pour la santé Évaluation Politique gouvernementale. Santé publique Surveillance. MEDICAL Forensic Medicine. bisacsh MEDICAL Preventive Medicine. bisacsh MEDICAL Public Health. bisacsh Communicable diseases Epidemiology Mathematical models fast Epidemiology Mathematical models fast Health risk assessment Government policy fast Public health surveillance fast has work: Applications of epidemiological models to public health policymaking (Text) https://id.oclc.org/worldcat/entity/E39PCFMWrJqJjJHcqkCTbRWjQ3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Feng, Zhilan, 1959- Applications of epidemiological models to public health policymaking. [Hackensack,] New Jersey : World Scientific, [2014] 9789814522342 (DLC) 2013050475 (OCoLC)868000272 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=779669 Volltext |
| spellingShingle | Feng, Zhilan, 1959- Applications of epidemiological models to public health policymaking : the role of heterogeneity in model predictions / 1. Epidemic models. 1.1. Continuous-time models. 1.2. Discrete-time models -- 2. Endemic models. 2.1. Classical SIR and SEIR endemic models. 2.2. Multi-group models and the role of mixing. 2.3. Multiple pathogen strains and host types. 2.4. Age-structured models. 2.5. Models with non-exponentially distributed stages durations. 2.6. Oscillatory dynamic created by isolation. 2.7. Coupled dynamics of biological processes -- 3. Applications of models to evaluations of disease control strategies. 3.1. Influenza. 3.2. SARS. 3.3. Tuberculosis. 3.4. Schistosomiasis. 3.5. Synergy between HSV-2 and HIV -- 4. Development of interactive tools to assist public health policymaking. 4.1. An interactive tool for policymaking in disease control. Epidemiology Mathematical models. Communicable diseases Epidemiology Mathematical models. Health risk assessment Government policy. Public health surveillance. http://id.loc.gov/authorities/subjects/sh91006354 Épidémiologie Modèles mathématiques. Maladies infectieuses Épidémiologie Modèles mathématiques. Risques pour la santé Évaluation Politique gouvernementale. Santé publique Surveillance. MEDICAL Forensic Medicine. bisacsh MEDICAL Preventive Medicine. bisacsh MEDICAL Public Health. bisacsh Communicable diseases Epidemiology Mathematical models fast Epidemiology Mathematical models fast Health risk assessment Government policy fast Public health surveillance fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh91006354 |
| title | Applications of epidemiological models to public health policymaking : the role of heterogeneity in model predictions / |
| title_auth | Applications of epidemiological models to public health policymaking : the role of heterogeneity in model predictions / |
| title_exact_search | Applications of epidemiological models to public health policymaking : the role of heterogeneity in model predictions / |
| title_full | Applications of epidemiological models to public health policymaking : the role of heterogeneity in model predictions / by Zhilan Feng, Purdue University, USA. |
| title_fullStr | Applications of epidemiological models to public health policymaking : the role of heterogeneity in model predictions / by Zhilan Feng, Purdue University, USA. |
| title_full_unstemmed | Applications of epidemiological models to public health policymaking : the role of heterogeneity in model predictions / by Zhilan Feng, Purdue University, USA. |
| title_short | Applications of epidemiological models to public health policymaking : |
| title_sort | applications of epidemiological models to public health policymaking the role of heterogeneity in model predictions |
| title_sub | the role of heterogeneity in model predictions / |
| topic | Epidemiology Mathematical models. Communicable diseases Epidemiology Mathematical models. Health risk assessment Government policy. Public health surveillance. http://id.loc.gov/authorities/subjects/sh91006354 Épidémiologie Modèles mathématiques. Maladies infectieuses Épidémiologie Modèles mathématiques. Risques pour la santé Évaluation Politique gouvernementale. Santé publique Surveillance. MEDICAL Forensic Medicine. bisacsh MEDICAL Preventive Medicine. bisacsh MEDICAL Public Health. bisacsh Communicable diseases Epidemiology Mathematical models fast Epidemiology Mathematical models fast Health risk assessment Government policy fast Public health surveillance fast |
| topic_facet | Epidemiology Mathematical models. Communicable diseases Epidemiology Mathematical models. Health risk assessment Government policy. Public health surveillance. Épidémiologie Modèles mathématiques. Maladies infectieuses Épidémiologie Modèles mathématiques. Risques pour la santé Évaluation Politique gouvernementale. Santé publique Surveillance. MEDICAL Forensic Medicine. MEDICAL Preventive Medicine. MEDICAL Public Health. Communicable diseases Epidemiology Mathematical models Epidemiology Mathematical models Health risk assessment Government policy Public health surveillance |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=779669 |
| work_keys_str_mv | AT fengzhilan applicationsofepidemiologicalmodelstopublichealthpolicymakingtheroleofheterogeneityinmodelpredictions |