2021
DOI: 10.1016/j.ijmedinf.2021.104413
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Using a low-cost, real-time electronic immunization registry in Pakistan to demonstrate utility of data for immunization programs and evidence-based decision making to achieve SDG-3: Insights from analysis of Big Data on vaccines

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Cited by 18 publications
(16 citation statements)
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“…A study conducted among low-income countries to assess the performance of electronic vaccine registries describes some of the benefits brought about by the ability of the systems to perform their functions, including offering numerous opportunities to increase the timeliness, accuracy, and particularity of performance measures [17] which is similar to what the Chanjotrack system offered. Another function that has been exhibited by the Chanjotrack system that is similar to other electronic vaccine registries is that of ensuring access to big vaccines data and helping generate meaningful insights to drive actions and data-driven decisions [18].…”
Section: Discussionmentioning
confidence: 99%
“…A study conducted among low-income countries to assess the performance of electronic vaccine registries describes some of the benefits brought about by the ability of the systems to perform their functions, including offering numerous opportunities to increase the timeliness, accuracy, and particularity of performance measures [17] which is similar to what the Chanjotrack system offered. Another function that has been exhibited by the Chanjotrack system that is similar to other electronic vaccine registries is that of ensuring access to big vaccines data and helping generate meaningful insights to drive actions and data-driven decisions [18].…”
Section: Discussionmentioning
confidence: 99%
“…Poor uptake of routine childhood immunisations as per official records from the Government of Sindh’s electronic immunisation registry—where Districts Korangi, South and East had a median vaccination rate of 33.2%, 40.6% and 39.1%, respectively, of children born in 2020 25 (recommended is >85%). Routine childhood immunisation served as a proxy for COVID-19 immunisation rates, as COVID-19 vaccination data were not available at the district level.…”
Section: Methodsmentioning
confidence: 99%
“…Studies that use currently available real‐world big data are carried out under low financial burden, and long‐term observation is possible. 21 Large‐scale observational studies using real‐world big data can complement the evidence gap left unfilled by RCTs. 22 , 23 Many studies undertaken outside of Japan that use big data have been reported even in critical care fields.…”
Section: Difference In Strength Between Real‐world Evidence and Rctsmentioning
confidence: 99%
“…The difference between RCTs and real‐world clinical studies using DPC big data is summarized in Table 4. Studies that use currently available real‐world big data are carried out under low financial burden, and long‐term observation is possible 21 . Large‐scale observational studies using real‐world big data can complement the evidence gap left unfilled by RCTs 22,23 .…”
Section: Difference In Strength Between Real‐world Evidence and Rctsmentioning
confidence: 99%