Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&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
Due to the impact respiratory viruses have on human health, a lot of data has been collected and visualised in tools such as dashboards that provide retrospective insights into the course of an epidemic or pandemic. Two well-known respiratory viruses, influenza virus and SARS-CoV-2, are the causative agents of influenza and COVID-19, respectively. A scoping review was performed using Embase including data from January 2000 until April 2021 to identify individual and environmental health parameters that affect transmission of influenza virus and SARS-CoV-2, as well as disease severity (morbidity (hospitalisation) and mortality) of influenza and COVID-19. Summary data was extracted from published articles. A total of 2280 unique articles were identified by the search, 484 articles were analysed, and 149 articles were included. The information of included articles was combined with data from Dutch databases to create prospective interactive maps that visualise risk areas in the Netherlands on health region, municipality, and neighbourhood-level. Included health parameters are contacts per day, mixing patterns, household composition, presence of certain indoor public spaces, urbanity, meteorological values, average income, age, ethnicity, comorbidity, sex, and smoking habits. The impact and input of these parameters are adjustable by users allowing a fit-for-purpose approach. These maps can be used to corroborate local policy decisions in times of health crisis, or in pandemic preparedness plans, serving as an instant visualisation tool of risk areas in the country. Despite limitations caused by data unavailability, simplification steps, and lack of validation, these interactive maps provide an important basis that can be elaborated on by further research that integrates both individual and environmental parameters.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11077019 | PMC |
http://dx.doi.org/10.1016/j.onehlt.2024.100741 | DOI Listing |
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