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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Background: As the COVID-19 pandemic spread, school district administrators in the United States were faced with difficult decisions regarding the implementation of virtual or in-person learning to reduce risk of infection throughout student and staff populations. While a coordinated effort with surrounding districts would be most beneficial when encountering a highly infectious respiratory-based infectious disease, the determinants of type of education delivery is unclear.
Methods: Data from the Missouri Department of Elementary and Secondary Education assessing education delivery method at each school district across the state of Missouri (n = 514) from August 2020 were used. This cross-sectional study, using results from a school district-level survey, local COVID-19 rates, and community-level sociodemographic characteristics, conducted a spatially adjusted analysis of variance (ANOVA) to determine associations between education delivery type and geographic-level sociogeographic characteristics.
Results: Among Missouri school districts, 172 (33.4%) reported starting the 2020-2021 academic year with an in-person policy, 52 (10.1%) with a distant/virtual policy, 242 (47.1%) in-person with a distance option, and 48 (9.3%) with a blended policy. This study found districts with lower household income levels were less likely to offer students any virtual learning options. Additionally, community COVID-19 infection rates were not associated with the selection of virtual or in-person education delivery.
Conclusions: These findings suggest the presence of a specific school policy was spatially random in regard to neighboring community policies, even when accounting for community characteristics. The efficacy of policy is likely to benefit upon application of a spatial framework when addressing a crisis fundamentally tied to location. Future planning that highlights and focuses on regional coordination for community resilience in the face of a pandemic should incorporate data sources that inform decisions made for families, students, and communities.
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Source |
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http://dx.doi.org/10.1111/josh.13260 | DOI Listing |
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