Measuring the Impact of Health Policies Using Internet Search Patterns: The Case of Abortion

DSpace/Manakin Repository

Measuring the Impact of Health Policies Using Internet Search Patterns: The Case of Abortion

Citable link to this page

. . . . . .

Title: Measuring the Impact of Health Policies Using Internet Search Patterns: The Case of Abortion
Author: Reis, Ben Y.; Brownstein, John Samuel

Note: Order does not necessarily reflect citation order of authors.

Citation: Reis, Ben Y. and John S. Brownstein. 2010. Measuring the impact of health policies using Internet search patterns: the case of abortion. BMC Public Health 10: 514.
Full Text & Related Files:
Abstract: Background: Internet search patterns have emerged as a novel data source for monitoring infectious disease trends. We propose that these data can also be used more broadly to study the impact of health policies across different regions in a more efficient and timely manner. Methods: As a test use case, we studied the relationships between abortion-related search volume, local abortion rates, and local abortion policies available for study. Results: Our initial integrative analysis found that, both in the US and internationally, the volume of Internet searches for abortion is inversely proportional to local abortion rates and directly proportional to local restrictions on abortion. Conclusion: These findings are consistent with published evidence that local restrictions on abortion lead individuals to seek abortion services outside of their area. Further validation of these methods has the potential to produce a timely, complementary data source for studying the effects of health policies.
Published Version: doi://10.1186/1471-2458-10-514
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936430/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:5336791

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters