2022
DOI: 10.1016/j.vaccine.2022.05.074
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COVID-19 impact on routine immunisations for vaccine-preventable diseases: Projecting the effect of different routes to recovery

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Cited by 11 publications
(10 citation statements)
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“…The disruptions caused by COVID-19 have been studied for several health conditions (HIV infection (n=10), 2 5 12 16 20 24 41–43 52 tuberculosis (TB) (n=5), 2 27 49 50 54 and malaria (n=3)), 2 6 57 vaccine preventable (n=2) 39 44 and other infectious diseases (n=12), 11 15 18 19 21 26 29 47 48 51 53 56 cancers (n=11), 10 13 17 25 28 30 32 34 40 45 46 cardiovascular disease (n=2), 33 35 maternal and child health (n=2) 4 23 and many other disease conditions (n=7) 2 4 20 22 23 30 32 36 37 39 44 56 ( table 1 and online supplemental appendix table 5 ). Twelve (23.1%) studies modelled multiple health conditions 2 4 20 22 23 30 32 36 37 39 44 56 while remaining focused on specific health condition or area.…”
Section: Resultsmentioning
confidence: 99%
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“…The disruptions caused by COVID-19 have been studied for several health conditions (HIV infection (n=10), 2 5 12 16 20 24 41–43 52 tuberculosis (TB) (n=5), 2 27 49 50 54 and malaria (n=3)), 2 6 57 vaccine preventable (n=2) 39 44 and other infectious diseases (n=12), 11 15 18 19 21 26 29 47 48 51 53 56 cancers (n=11), 10 13 17 25 28 30 32 34 40 45 46 cardiovascular disease (n=2), 33 35 maternal and child health (n=2) 4 23 and many other disease conditions (n=7) 2 4 20 22 23 30 32 36 37 39 44 56 ( table 1 and online supplemental appendix table 5 ). Twelve (23.1%) studies modelled multiple health conditions 2 4 20 22 23 30 32 36 37 39 44 56 while remaining focused on specific health condition or area.…”
Section: Resultsmentioning
confidence: 99%
“… 11 18 19 48 53 56 One article reported a humanistic outcome (additional job creation) 35 and one article 28 reported economic outcome (eg, Maximise cost-effectiveness). One study 39 reported improved outcomes in health services such as fully vaccinated people. 39 Detailed description on the effects of mitigation strategies is provided in table 2 and online supplemental appendix table 8 .…”
Section: Resultsmentioning
confidence: 99%
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“…Global disease surveillance suggests that coverage declines and/ or campaign postponements and delays are translating into an increase in worldwide measles outbreaks [40] . Modelling has shown that drops in RI coverage can result in increased VPD deaths [41] – leveraging such methods combined with inputting modelled pandemic coverage declines could help more precisely estimate potential increases in VPDs (though likely would also require sub-national datapoints). This could help proactively target campaigns where outbreaks could be most likely to occur.…”
Section: Discussionmentioning
confidence: 99%
“…Global disease surveillance suggests that this – along with other factors including delays to measles campaign implementation, potentially also pandemic related – are translating into an increase in worldwide measles outbreaks [25]. Recent modelling has modelled the link between declines in immunisation coverage and vaccine-preventable disease outbreaks based on scenarios of uniform declines in coverage [26] - such methods could be enhanced to build on our country-specific modelled declines in coverage to more precisely estimate potential increases in vaccine-preventable diseases. This could help proactively target campaigns where outbreaks would be most likely to occur, if real time coverage declines are identified.…”
Section: Discussionmentioning
confidence: 99%