Name Web Search Query Data to Monitor Dengue Epidemics
Source Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology
Hyperlink to Source http://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0001206
Description This study found that aggregated, anonymized Google search query data were capable of tracking dengue activity in Bolivia, Brazil, India, Indonesia and Singapore. A variety of obstacles, including bureaucracy and lack of resources, delay detection and reporting of dengue and exist in many countries where the disease is a major public health threat. Surveillance efforts have turned to modern data sources such as Internet usage data. People often seek health-related information online and it has been found that the frequency of, for example, influenza-related web searches as a whole rises as the number of people sick with influenza rises. Tools have been developed to help track influenza epidemics by finding patterns in certain web search activity. However, few have evaluated whether this approach would also be effective for other diseases, especially those that affect many people, that have severe consequences, or for which there is no vaccine. In this study, the researchers found that aggregated, anonymized Google search query data were also capable of tracking dengue activity in Bolivia, Brazil, India, Indonesia and Singapore. Whereas traditional dengue data from official sources are often not available until after a long delay, web search query data is available for analysis within a day. Therefore, because it could potentially provide earlier warnings, these data represent a valuable complement to traditional dengue surveillance.
Long description
Lead Institution Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology
Logo of lead Institution Logo institution
Partners Children's Hospital Boston, Google Inc., Harvard Medical School
Contact name Please login to see contact details
Contact email Please login to see contact details
Info link http://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0001206
Implementation link
Case study link
Video embed code or link to video page
Type Research
Potential for reuse Medium
Open source N/A
Open Source URL
Data Input Formats
Data Output Formats
Maintenance Requirements
Plug & Play N/A
Outputs compatible with indicators from Official Statistics N/A
Status Beta
Country use cases
Target Groups
Statistical Institute
Other Government Agencies
Sectors where the innovation can be applied
  • Areas of technological innovation
  • Log Data
  • ,
  • Real Time Data
  • Areas of management practice innovations
    Use of Alternative Data Sources
    Areas of institutional process innovations
    Case Study URL with Public Sector Participation
    Case Study Description
    Picture describing Case Study
    Good practices displayed
    Created On 2014-04-12
    Updated On 2014-04-12
    Status Published
    Framework
    Manage consumers
    Build




    Comments