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Rotavirus Infections clinical trials

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NCT ID: NCT05212935 Not yet recruiting - Vaccination Clinical Trials

A Surveillance Study on Timing and Coverage Of Rotavirus and MenB Vaccine Co-administration in Campania Region, Italy

STORM
Start date: May 2022
Phase:
Study type: Observational

A two-phases study will be carried out with the following aims 1. st phase (2018-2020) - To investigate the vaccination coverage for Rotavirus vaccine (RV) in Campania Region together with other pediatric vaccinations scheduled in the first 12 months of life: hexavalent, pneumococcal conjugate (PCV), meningococcal B (MenB) - To collect data on appropriate timing of the 3 doses of human bovine pentavalent reassortant vaccine (RV5) administration - To evaluate the frequency of a co-administration of RV5 with other vaccines scheduled in the first 12 months of life (hexavalent/PCV+RV5, MenB+RV5 vs RV5 alone) and assess the variability in co-administration rates according to RV5 dose 2. nd phase (2020-2022) - To investigate the effect of Coronavirus-Disease-19 (COVID-19) pandemic on vaccination coverage in the first year of life, focusing on RV vaccination - To investigate the effect of COVID-19 pandemic on timing of vaccine administration in the first year of life, focusing on those vaccines without catch-up vaccination schedule (i.e. RV) Hypothesis are the following: - Vaccination coverage and timing of vaccines scheduled in the first year of life are not fully aligned with what is established by the Italian National Prevention Plan 2017-2019 - Co-administration of RV5 and MenB in comparison with other coadministration e.g. hexavalent/PCV is lower - Co-administration of RV5 and MenB allows to ensure appropriate timing of RV vaccination schedule - COVID-19 pandemic may have affected the overall vaccination coverage as well as the timing of selected vaccination scheduled in the first year of life, with a more relevant impact on vaccines for whom a catch-up vaccination schedule is not feasible, such as RV immunization.

NCT ID: NCT00484952 Not yet recruiting - Clinical trials for Rotavirus Infections

Surveillance of Hospitalizations Due to Rotavirus Infections Among Children From Israel

Start date: September 2007
Phase: N/A
Study type: Observational

Objectives 1. To determine the burden and characteristics of rotavirus-associated hospitalizations among children under five years of age of northern Israel 2. To identify potential risk factors of rotavirus infections associated with hospitalizations among Jewish and Arab children younger than five years of age. Methods: Study design: A two-year prospective study and a nested case control study will be carried out Collection of data: Questionnaires will be filled in with demographic characteristics of patients and data on the clinical manifestation of the diarrheal episode leading to hospitalization. Stool specimens will be systematically collected from all children hospitalized because of diarrheal diseases and examined for rotavirus and for bacterial and protozoan enteropathogens. Positive samples for rotavirus will be tested for G and P genotypes. For the nested case control study additional data will be obtained from parents' interviews on variables such as: parents' education, parents' age, parents' occupation, no. of siblings, age of siblings, breastfeeding etc. to identify potential risk factors for rotavirus diarrhea necessitating hospitalization. Data analysis: Methods of descriptive statistics / epidemiology will be applied to determine the characteristics of the burden of rotavirus-associated hospitalizations (the distribution of diarrhea associated hospitalizations by etiology, rates of rotavirus diarrheal diseases in Jewish and Arab children, age specific rates of rotavirus infections, the percentage of hospitalizations due to rotavirus diarrhea by month, etc. For the nested case control study, univariate analysis will be first performed using Student t test for continuous variables and chi square test for categorical variables to study the statistical significance of predictive factors of rotavirus diarrheal diseases necessitating hospitalization. Multivariate analysis using logistic regression models will be performed to study the independent effect of each variable. Odds ratios (OR) and 95% CI will be computed for each variable. Two tailed p < 0.05 will be considered significant.