Your browser doesn't support javascript.
loading
Application of the backstepping method to the prediction of increase or decrease of infected population.
Kuniya, Toshikazu; Sano, Hideki.
Affiliation
  • Kuniya T; Department of Applied Mathematics, Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe, 657-8501, Japan. toshikazu.kuniya@gmail.com.
  • Sano H; Department of Applied Mathematics, Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe, 657-8501, Japan.
Theor Biol Med Model ; 13(1): 15, 2016 05 10.
Article in En | MEDLINE | ID: mdl-27165341
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Statistical / Influenza, Human Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Theor Biol Med Model Journal subject: BIOLOGIA / MEDICINA Year: 2016 Type: Article Affiliation country: Japan
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Statistical / Influenza, Human Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Theor Biol Med Model Journal subject: BIOLOGIA / MEDICINA Year: 2016 Type: Article Affiliation country: Japan