View clinical trials related to Influenza-like Illness.
Filter by:This is a prospective observational study using a mobile study platform (app) that is designed for use on Android phones. Study participants will provide baseline demographic and medical information and report symptoms of respiratory infection on a weekly basis using the app. Participants will also report use of prevention techniques on the weekly survey. Mobility data will be collected passively using the sensors on the participant's smartphone, if the participant has granted the proper device permissions. The overall goals of the study are to track spread of coronavirus-like illness (CLI), influenza-like illness (ILI) and non-specific respiratory illness (NSRI) on a near-real time basis and identify specific behaviors associated with an increased or decreased risk of developing these conditions.
Coronavirus Disease 19 (COVID-19) represents an unprecedented challenge to the operations and population health management efforts of health care systems around the world. The "Pandemic Research Network (PRN): Duke Community Health Watch" study leverages technology, clinical research, epidemiology, telemedicine, and population health management capabilities to understand how to safely COVID-19. The target population is individuals in the Duke Health region as well as individuals beyond the Duke Health region who have flu-like symptoms, a viral test order for COVID-19, confirmed COVID-19, or concern for exposure to COVID-19. A subgroup of particular interest within the target population is health care workers (HCW) and families of HCW. Community members will enroll in the study electronically and for 28 days will be reminded via email or SMS to submit signs and symptoms related to COVID-19. Participants who report symptoms will be provided information about COVID-19 testing (if needed) and established mechanisms to seek care within Duke Health. Instructions for telemedicine and in-person visits, which is available publicly at https://www.dukehealth.org/covid-19-update, will be presented to participants. Participants who are unable to report symptoms independently may be contacted via telephone by Population Health Management Office (PHMO) or Clinical Events Classification (CEC) team members. Data collected through the "Pandemic Response Network (PRN): Duke Community Health Watch" study will be used for three objectives. - First, to characterize the epidemiological features of COVID-19. Specifically, we will have a high-risk subgroup of HCW and families of HCW that we enroll. - Second, to develop models that predict deterioration and the need for inpatient care, intensive care, and mechanical ventilation. - Third, to develop forecast models to estimate the volume of inpatient and outpatient resources needed to manage a COVID-19 population. The primary risk to study participants is loss of protected health information. To address this concern, all data will be stored in Duke's REDCap instance and the Duke Protected Analytics Compute Environment (PACE).
The main goal of this research study is to use data from activity trackers (such as Fitbits), lab tests, and surveys to see if activity, sleep, and heart rate data can tell the difference between when someone has a respiratory illness (e.g., flu) and when they are feeling healthy. The research will also study an investigational flu@home test and app. If successful, results from the study could be used in the future to better identify people with respiratory illness. In addition, this study will test the accuracy of an at-home flu test kit compared to laboratory test results.
This is a Phase 2b, multi-center, double-blind, randomized, placebo-controlled, parallel-group study of NKT versus placebo in otherwise healthy adults presenting with acute uncomplicated ILI due to influenza or other respiratory viruses in a community setting.
Based on recent evidence on the mutation of the A/H3N2 strain in egg-grown vaccine, the investigators will study the quadrivalent recombinant influenza vaccine (RIV4, Flublok) compared to the standard dose quadrivalent vaccine (IV4) in a cohort of long-stay NH residents with a primary endpoint of all-cause hospitalization.
A total of 18,000 eligible subjects (or 6,000 subject distributed evenly between the 3 study arms) will be enrolled. Eligible subjects will be randomized in 1:1:1 (cell-culture-based vaccine, the recombinant vaccine, or the egg-based vaccine) over four influenza seasons (2018-2019, 2019-2020, 2020-2021, and 2021-2022).
To asses the effect of the probiotic and influenza vaccination alone and combination on enhancing immune response to influenza-like illness (ILI) and reducing ILI incidence in the elderly
Vaccines work by stimulating the body to produce a high-quality, rapid and specific immune response upon exposure to infection by a particular disease-causing microorganism - the microorganism targeted by the vaccine. Evidence is emerging that some vaccines may have additional 'non-specific effects' (NSEs); that is, effects on the immune system beyond the direct protection against the diseases for which the vaccines were developed. It has been proposed that rabies vaccine has protective NSEs in people and animals, with receipt of rabies vaccine in children associated with a reduced risk of meningitis and cerebral malaria in one study, and a history of rabies vaccination in free-roaming dogs associated with increased survival rates in another study. Studies in mice have shown that prior rabies vaccination protects against bacterial sepsis. The biological mechanism of action of any such NSE of rabies vaccine is unknown. Other vaccines with reported protective NSEs (e.g. bacillus Calmette-Guerin vaccine against tuberculosis, a disease caused by Mycobacterium tuberculosis) have been show to reprogram the immune system, leading to enhanced protection against infection with disease-causing microorganisms unrelated to M. tuberculosis. In this study, we will test the hypothesis that rabies vaccine has non-specific protective effects against common infectious disease (CID) syndromes (upper respiratory illness, diarrhea and fever) in a population of veterinary students. We will randomly assign previously-unvaccinated students who volunteer for the study to receive a primary course of three injections of rabies vaccine (experimental group) or an identical course of three injections of sterile water (control group). Participants will not know to which group they have been assigned. We will ask all participants to report episodes of illness through an online survey each week for 26 weeks, and will also record all clinically- and laboratory-confirmed cases of illness with CID syndromes. We hypothesize that rates of self-reported new episodes of CID illness over 26 weeks will be at least 25% lower in the experimental group, relative to the control group.
The purpose of this study is to determine if different influenza vaccines produce different outcomes in nursing facility residents receiving the required annual influenza vaccination.
This is a comprehensive randomized cluster hand-hygiene improvement intervention to reduce: self-reported acute respiratory tract infections (ARI) / influenza-like-illness (ILI) and gastrointestinal (GI) illness, absenteeism, presenteeism; and related behavioral and attitudinal change over a 90 day trial. The Intervention group will receive hand hygiene supplies, and a variety of educational materials, including environmental posters in common areas. The control group will perform their usual hygiene activities and will not receive an intervention. Identical weekly surveys will be administered to the intervention and control groups to measure self-reported illness, absenteeism, presenteeism, along with behavior and attitudes measured at specified intervals during the study. The intervention and control groups were randomized by work floors before the onset of the enrollment period. It is hypothesized that employees in the intervention group will experience reduced self-reported illness, absenteeism and presenteeism along with improved protective hygiene behaviors and related attitudes, relative to those in the control group over the 90-day trial.