Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objective: HIV and sexually transmitted disease (STD) surveillance patterns in Arizona suggested the need for integrated data analyses to identify trends.
Methods: We compiled all HIV/AIDS cases diagnosed from 1998 to 2008 that were reported in Arizona and syphilis or gonorrhea cases diagnosed from 1998 to 2008 in Arizona. We used deterministic matching to identify individuals who were diagnosed with HIV and one or more STDs, and calculated time intervals between diagnoses.
Results: Of 23,940 people with HIV/AIDS reported from 1998 to 2008, 1,899 (2.6%) had at least one syphilis or gonorrhea diagnosis from 1998 to 2008. Approximately 85% of these cases reported male-to-male sexual contact. Among males with syphilis, HIV coinfection increased from 0.5% in 1998 to 29.1% in 2008. Among males with gonorrhea, HIV coinfection increased from 2.0% in 1998 to 3.1% in 2008. Among HIV cases diagnosed from 2004 to 2008 and reported with at least one syphilis or gonorrhea diagnosis, the majority of syphilis cases (76.1%) were diagnosed at or after HIV diagnosis, whereas a majority of gonorrhea cases (54.9%) were diagnosed prior to HIV diagnosis.
Conclusion: Use of the deterministic matching method identified increases in STD infections among HIV-infected people. The routine performance of this cross-matching method may be a useful tool in identifying these high-risk individuals so that targeted partner services and appropriate care referrals may be used in a timely fashion.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3862994 | PMC |
http://dx.doi.org/10.1177/00333549141291S113 | DOI Listing |
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