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: Limited guidance exists for public health agencies to use existing data sources to conduct monitoring and surveillance of behavioral health (BH) in the context of public health emergencies (PHEs).
Methods: We conducted a literature review and environmental scan to identify existing data sources, indicators, and analytic methods that could be used for BH surveillance in PHEs. We conducted exploratory analyses and interviews with public health agencies to examine the utility of a subset of these data sources for BH surveillance in the PHE context.
Results: Our comprehensive search revealed no existing dedicated surveillance systems to monitor BH in the context of PHEs. However, there are a few data sources designed for other purposes that public health agencies could use to conduct BH surveillance at the substate level. Some of these sources contain lagging indicators of BH impacts of PHEs. Most do not consistently collect the sociodemographic data needed to explore PHEs' inequitable impacts on subpopulations, including at the intersection of race, gender, and age.
Conclusions: Public health agencies have opportunities to strengthen BH surveillance in PHEs and build partnerships to act based on timely, geographically granular existing data.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11483156 | PMC |
http://dx.doi.org/10.1017/dmp.2024.127 | DOI Listing |
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