دورية أكاديمية
Estimation of Symptomatic Respiratory Syncytial Virus Infection Incidence in Adults in Multiple Countries: A Time-Series Model-Based Analysis Protocol
| العنوان: | Estimation of Symptomatic Respiratory Syncytial Virus Infection Incidence in Adults in Multiple Countries: A Time-Series Model-Based Analysis Protocol |
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| المؤلفون: | Robin Bruyndonckx, Aleksandra Polkowska-Kramek, Caihua Liang, Charles Nuttens, Thao Mai Phuong Tran, Bradford D. Gessner, Elizabeth Begier |
| المصدر: | Infectious Diseases and Therapy, Vol 13, Iss 4, Pp 953-963 (2024) |
| بيانات النشر: | Adis, Springer Healthcare, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Infectious and parasitic diseases |
| مصطلحات موضوعية: | Disease burden, Time series analysis, Emergency department visits, General practitioner visits, Hospitalization, Mortality, Infectious and parasitic diseases, RC109-216 |
| الوصف: | Abstract Introduction Estimating respiratory syncytial virus (RSV) burden in adults is challenging because of non-specific symptoms, infrequent standard-of-care testing, resolution of viral shedding before seeking medical care, test positivity that varies by specimen site in the upper airway and lower diagnostic test sensitivity compared to children. Conducting prospective observational studies to assess RSV burden in adults is time- and resource-intensive. Thus, model-based approaches can be applied using existing data to obtain more accurate estimates of RSV burden. This protocol establishes essential elements for estimating RSV incidence rate in adults using a time series model-based approach. It can be tailored to specific databases and applied globally across countries, enabling estimation of local RSV disease burden to inform public health decision-making, including immunization policy. Methods Data are analysed using a quasi-Poisson regression model, considering the effect of baseline trends and pathogen co-circulation, stratified by age and risk status. Pathogen co-circulation is represented by viral proxies defined based on ICD code groupings indicating RSV and influenza-specific hospitalizations, lagged 0 up to 4 weeks based on the model selection. A final model is constructed in two steps: optimization of the time trend (using p-values) and selection of the viral proxy lag time (using test statistics, to prioritize the most biologically plausible option). The yearly incidence rate and percentage of events attributable to RSV are estimated from the final model. Confidence intervals are calculated using residual bootstrapping. Planned Outcomes Outcomes to be modelled are based on administrative ICD code groupings and include the number of cardiorespiratory, respiratory and cardiovascular events in a specific care setting (e.g., general practitioner visit, emergency department visit, hospitalization and death). Cardiovascular events are limited to those for which existing evidence suggests an association with RSV infection. Additional secondary outcomes are constructed as a subset of the primary outcomes based on specific ICD code groups. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2193-8229 2193-6382 54373824 |
| العلاقة: | https://doaj.org/toc/2193-8229Test; https://doaj.org/toc/2193-6382Test |
| DOI: | 10.1007/s40121-024-00948-9 |
| الوصول الحر: | https://doaj.org/article/46e05ef2c0a5437382499c478c9ecaf8Test |
| رقم الانضمام: | edsdoj.46e05ef2c0a5437382499c478c9ecaf8 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 21938229 21936382 54373824 |
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| DOI: | 10.1007/s40121-024-00948-9 |