2023
DOI: 10.1111/irv.13181
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Estimating SARS‐CoV‐2 infections and associated changes in COVID‐19 severity and fatality

Valentina Marziano,
Giorgio Guzzetta,
Francesco Menegale
et al.

Abstract: BackgroundThe difficulty in identifying SARS‐CoV‐2 infections has not only been the major obstacle to control the COVID‐19 pandemic but also to quantify changes in the proportion of infections resulting in hospitalization, intensive care unit (ICU) admission, or death.MethodsWe developed a model of SARS‐CoV‐2 transmission and vaccination informed by official estimates of the time‐varying reproduction number to estimate infections that occurred in Italy between February 2020 and 2022. Model outcomes were compar… Show more

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Cited by 12 publications
(3 citation statements)
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“…However, our estimates lacked precision due to the low number of events observed, particularly for COVID-19 hospitalisations, which reflects both the low prevalence of HIV in Italy and the high degree of protection induced by COVID-19 vaccination. Our analysis occurred in a period where underascertainment in Italy was lower than in omicron-prevalent periods [ 40 ], as testing availability was high and virus circulation was contained. However, if underascertainment occurred and was differential according to HIV status (e.g., PLWH being more aware of health risks may have been more likely to get tested) it could have biased our estimates probably towards an overestimation of the infection risk differences.…”
Section: Discussionmentioning
confidence: 99%
“…However, our estimates lacked precision due to the low number of events observed, particularly for COVID-19 hospitalisations, which reflects both the low prevalence of HIV in Italy and the high degree of protection induced by COVID-19 vaccination. Our analysis occurred in a period where underascertainment in Italy was lower than in omicron-prevalent periods [ 40 ], as testing availability was high and virus circulation was contained. However, if underascertainment occurred and was differential according to HIV status (e.g., PLWH being more aware of health risks may have been more likely to get tested) it could have biased our estimates probably towards an overestimation of the infection risk differences.…”
Section: Discussionmentioning
confidence: 99%
“…Firstly, as for other observational studies, although the analysis was adjusted for several covariates, a residual bias because of uncontrolled confounders might have affected our estimates. Secondly, under-reporting because of missed notification of self-diagnosed or unascertained cases has likely caused an overestimation of the number of susceptible people exposed to the risk of severe COVID-19, especially in the comparator group (first booster of an mRNA vaccine received at least 120 days earlier) [20]. This could have led to underestimate rVE, especially at later time intervals, even in the event that the proportion of under-reported cases did not differ between the compared groups.…”
Section: Discussionmentioning
confidence: 99%
“…Since 2021, changes in the dominant SARS-CoV-2 variant, the implementation of vaccination programs, and the shift of infection to younger ages have decreased the detection of SARS-CoV-2 infections. These same factors, along with improved patient management and care, have significantly reduced the severity and mortality of COVID-19 [ 11 ].…”
Section: Introductionmentioning
confidence: 99%