File Download
There are no files associated with this item.
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Analyzing the spatial distribution pattern of infection cases using mathematical likelihood: Implication on airborne disease transmission and risk assessment
Title | Analyzing the spatial distribution pattern of infection cases using mathematical likelihood: Implication on airborne disease transmission and risk assessment |
---|---|
Authors | |
Keywords | Likelihood estimation Outbreak investigation Spatial pattern Airborne transmission Infection risk assessment |
Issue Date | 2009 |
Citation | 9th International Conference and Exhibition - Healthy Buildings 2009, HB 2009, 2009 How to Cite? |
Abstract | This study proposes a method to analyze the spatial distribution of infection cases in outbreaks of airborne transmissible diseases. Infection risk assessment is first performed to estimate the infection risks of the susceptible people in the outbreak. A modified likelihood function could then be used to establish the likelihood of the estimated infection risk which is the true infection risk. The method can be used to estimate unknown parameters in the outbreak, such as the infectious source strength. A real outbreak of chickenpox was analyzed to demonstrate the use of the proposed method. It was found that the estimation of the quanta generation rate using the classical well-mixed assumption would cause significant error in the selected outbreak case. |
Persistent Identifier | http://hdl.handle.net/10722/255924 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sze-To, Gin Nam | - |
dc.contributor.author | Chao, Christopher Y H | - |
dc.contributor.author | Wan, Man Pun | - |
dc.date.accessioned | 2018-07-16T06:14:05Z | - |
dc.date.available | 2018-07-16T06:14:05Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | 9th International Conference and Exhibition - Healthy Buildings 2009, HB 2009, 2009 | - |
dc.identifier.uri | http://hdl.handle.net/10722/255924 | - |
dc.description.abstract | This study proposes a method to analyze the spatial distribution of infection cases in outbreaks of airborne transmissible diseases. Infection risk assessment is first performed to estimate the infection risks of the susceptible people in the outbreak. A modified likelihood function could then be used to establish the likelihood of the estimated infection risk which is the true infection risk. The method can be used to estimate unknown parameters in the outbreak, such as the infectious source strength. A real outbreak of chickenpox was analyzed to demonstrate the use of the proposed method. It was found that the estimation of the quanta generation rate using the classical well-mixed assumption would cause significant error in the selected outbreak case. | - |
dc.language | eng | - |
dc.relation.ispartof | 9th International Conference and Exhibition - Healthy Buildings 2009, HB 2009 | - |
dc.subject | Likelihood estimation | - |
dc.subject | Outbreak investigation | - |
dc.subject | Spatial pattern | - |
dc.subject | Airborne transmission | - |
dc.subject | Infection risk assessment | - |
dc.title | Analyzing the spatial distribution pattern of infection cases using mathematical likelihood: Implication on airborne disease transmission and risk assessment | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-84872647728 | - |
dc.identifier.spage | null | - |
dc.identifier.epage | null | - |