1 resultado para Gauss-Huard
em Institutional Repository of Leibniz University Hannover
Filtro por publicador
- Academic Archive On-line (Stockholm University; Sweden) (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (1)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (10)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (6)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (3)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (16)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (20)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (3)
- Biblioteca Valenciana Digital - Ministerio de Educación, Cultura y Deporte - Valencia - Espanha (6)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (2)
- Brock University, Canada (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (11)
- CaltechTHESIS (3)
- Cambridge University Engineering Department Publications Database (1)
- CentAUR: Central Archive University of Reading - UK (28)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (37)
- Cochin University of Science & Technology (CUSAT), India (1)
- Collection Of Biostatistics Research Archive (1)
- Deakin Research Online - Australia (6)
- Digital Commons - Michigan Tech (2)
- Digital Commons at Florida International University (1)
- DigitalCommons@The Texas Medical Center (1)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (1)
- Dokumentenserver der Akademie der Wissenschaften zu Göttingen (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Funes: Repositorio digital de documentos en Educación Matemática - Colombia (2)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (1)
- Greenwich Academic Literature Archive - UK (3)
- Harvard University (77)
- Helda - Digital Repository of University of Helsinki (3)
- Indian Institute of Science - Bangalore - Índia (30)
- Institutional Repository of Leibniz University Hannover (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (7)
- Ministerio de Cultura, Spain (19)
- Publishing Network for Geoscientific & Environmental Data (64)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (7)
- Queensland University of Technology - ePrints Archive (6)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (37)
- Repositorio Institucional Universidad de Medellín (2)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (2)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (4)
- Scielo Uruguai (1)
- Universidad de Alicante (4)
- Universidad Politécnica de Madrid (10)
- Universidade Complutense de Madrid (2)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (8)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Montréal (2)
- Université de Montréal, Canada (12)
- University of Michigan (21)
- University of Queensland eSpace - Australia (2)
- University of Southampton, United Kingdom (2)
Resumo:
A deterministic model of tuberculosis in Cameroon is designed and analyzed with respect to its transmission dynamics. The model includes lack of access to treatment and weak diagnosis capacity as well as both frequency-and density-dependent transmissions. It is shown that the model is mathematically well-posed and epidemiologically reasonable. Solutions are non-negative and bounded whenever the initial values are non-negative. A sensitivity analysis of model parameters is performed and the most sensitive ones are identified by means of a state-of-the-art Gauss-Newton method. In particular, parameters representing the proportion of individuals having access to medical facilities are seen to have a large impact on the dynamics of the disease. The model predicts that a gradual increase of these parameters could significantly reduce the disease burden on the population within the next 15 years.