| dc.contributor.author | Reis, Ben I. | |
| dc.contributor.author | Brownstein, John S. | |
| dc.date.accessioned | 2012-03-01T18:09:13Z | |
| dc.date.available | 2012-03-01T18:09:13Z | |
| dc.date.issued | 2010-08 | |
| dc.date.submitted | 2010-03 | |
| dc.identifier.issn | 1471-2458 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/69544 | |
| dc.description.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. | en_US |
| dc.description.sponsorship | National Institutes of Health. (U.S.). National Library of Medicine (grant 1R01LM009879) | en_US |
| dc.description.sponsorship | National Institutes of Health. (U.S.). National Library of Medicine (grant G08LM009776) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Springer (Biomed Central Ltd.) | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1186/1471-2458-10-514 | en_US |
| dc.rights | Creative Commons Attribution | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by/2.0 | en_US |
| dc.source | BioMed Central | en_US |
| dc.title | Measuring the impact of health policies using Internet search patterns: the case of abortion | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Reis, Ben Y, and John S Brownstein. “Measuring the Impact of Health Policies Using Internet Search Patterns: The Case of Abortion.” BMC Public Health 10.1 (2010): 514. Web. 1 Mar. 2012. | en_US |
| dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
| dc.contributor.approver | Reis, Ben I. | |
| dc.contributor.mitauthor | Reis, Ben I. | |
| dc.contributor.mitauthor | Brownstein, John S. | |
| dc.relation.journal | BMC Public Health | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Reis, Ben Y; Brownstein, John S | en |
| mit.license | PUBLISHER_CC | en_US |
| mit.metadata.status | Complete | |
