Using big data to enhance pertussis surveillance and response in Shandong Province, China
|
Yuzhou Zhang Thesis
(PDF 13MB)
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
Description
Pertussis imposes a substantial global health burden and has been reported to resurge over the next few years in many countries. The thesis used big data to predict pertussis infection in Shandong province, China. The research quantified the associations of internet query data and socio-environmental factors with pertussis infection and developed spatial and temporal predictive models based on big data. The findings of the thesis may enhance traditional pertussis surveillance and response via the development of an early warning system based on big data.
Impact and interest:
Citation counts are sourced monthly from Scopus and Web of Science® citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads:
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
| ID Code: | 206172 |
|---|---|
| Item Type: | QUT Thesis (PhD by Publication) |
| Supervisor: | Hu, Wenbiao, Mengersen, Kerrie, Bambrick, Hilary, & Tong, Shilu |
| Keywords: | pertussis, surveillance, internet search query, socio-environmental factors, prediction |
| DOI: | 10.5204/thesis.eprints.206172 |
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Health Current > Schools > School of Public Health & Social Work |
| Institution: | Queensland University of Technology |
| Deposited On: | 13 Nov 2020 00:57 |
| Last Modified: | 09 Dec 2020 01:37 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)