Infectious diseases: surveillance, genetic modification and simulation

Autor:	Su Yean Teh, H. L. Koh, Jiang Jiang, Donald L. DeAngelis
Rok vydání:	2011
Předmět:	Disease surveillance Disease evolution Emergency management Warning system Risk analysis (engineering) business.industry Computer science Pandemic Outbreak Influenza a business Disease control
Zdroj:	ResearcherID
ISSN:	1743-3509 1746-4498
DOI:	10.2495/dman110221
Popis:	Infectious diseases such as influenza and dengue have the potential of becoming a worldwide pandemic that may exert immense pressures on existing medical infrastructures. Careful surveillance of these diseases, supported by consistent model simulations, provides a means for tracking the disease evolution. The integrated surveillance and simulation program is essential in devising effective early warning systems and in implementing efficient emergency preparedness and control measures. This paper presents a summary of simulation analysis on influenza A (H1N1) 2009 in Malaysia. This simulation analysis provides insightful lessons regarding how disease surveillance and simulation should be performed in the future. This paper briefly discusses the controversy over the experimental field release of genetically modified (GM) Aedes aegypti mosquito in Malaysia. Model simulations indicate that the proposed release of GM mosquitoes is neither a viable nor a sustainable control strategy.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1acb7e2b00d06bf3c80f6316c72cfc66 https://doi.org/10.2495/dman110221 Zobrazit plný text záznamu