scholarly journals Influenza Vaccination and the Risk of COVID-19 Infection and Severe Illness in Older Adults in the United States

2020 ◽  
Author(s):  
Kelly Huang ◽  
Shu-Wan Lin ◽  
Wang-Huei Sheng ◽  
Chi-Chuan Wang
Keyword(s):  
Older Adults ◽  
Influenza Vaccine ◽  
Influenza Vaccination ◽  
Claims Data ◽  
The United States ◽  
Cross Sectional Study ◽  
Severe Illness ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health Database

Abstract The COVID-19 pandemic is an urgent threat worldwide with no vaccine available. It is important to evaluate whether influenza vaccination can reduce the risk of COVID-19 infection. This is a retrospective cross-sectional study with claims data from Symphony Health database from July 1, 2019, to June 30, 2020. Participants were adults aged 65 years old or older who had received the influenza vaccine between September 1 and December 31 of 2019. The objective was to measure the odds of COVID-19 infection and severe COVID-19 illness after January 15, 2020 among vaccinated and unvaccinated older adults. The adjusted odds ratio (aOR) of COVID-19 infection risk between the influenza-vaccination group and no-influenza-vaccination group was 0.76 (95% confidence interval (CI), 0.75–0.77). Among COVID-19 patients, the aOR of developing severe COVID-19 illness was 0.72 (95% CI, 0.68–0.76) between the influenza-vaccination group and the no-influenza-vaccination group. When the influenza-vaccination group and the other-vaccination group were compared, the aOR of COVID-19 infection was 0.95 (95% CI, 0.93–0.97), and the aOR of developing a severe COVID-19 illness was 0.95 (95% CI, 0.80–1.13). In conclusion, the influenza vaccine may marginally protect people from COVID-19 infection.

scholarly journals Influenza vaccination and the risk of COVID-19 infection and severe illness in older adults in the United States

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kelly Huang ◽  
Shu-Wen Lin ◽  
Wang-Huei Sheng ◽  
Chi-Chuan Wang
Keyword(s):  
Immune Responses ◽  
Influenza Vaccine ◽  
Influenza Vaccination ◽  
The United States ◽  
Cross Sectional Study ◽  
Severe Illness ◽  
Cross Sectional ◽  
Global Pandemic ◽  
Study Population ◽  
Health Database

AbstractThe coronavirus disease of 2019 (COVID-19) has caused a global pandemic and led to nearly three million deaths globally. As of April 2021, there are still many countries that do not have COVID-19 vaccines. Before the COVID-19 vaccines were developed, some evidence suggested that an influenza vaccine may stimulate nonspecific immune responses that reduce the risk of COVID-19 infection or the severity of COVID-19 illness after infection. This study evaluated the association between influenza vaccination and the risk of COVID-19 infection. We conducted a retrospective cross-sectional study with data from July 1, 2019, to June 30, 2020 with the Claims data from Symphony Health database. The study population was adults age 65 years old or older who received influenza vaccination between September 1 and December 31 of 2019. The main outcomes and measures were odds of COVID-19 infection and severe COVID-19 illness after January 15, 2020. We found the adjusted odds ratio (aOR) of COVID-19 infection risk between the influenza-vaccination group and no-influenza-vaccination group was 0.76 (95% confidence interval (CI), 0.75–0.77). Among COVID-19 patients, the aOR of developing severe COVID-19 illness was 0.72 (95% CI, 0.68–0.76) between the influenza-vaccination group and the no-influenza-vaccination group. When the influenza-vaccination group and the other-vaccination group were compared, the aOR of COVID-19 infection was 0.95 (95% CI, 0.93–0.97), and the aOR of developing a severe COVID-19 illness was 0.95 (95% CI, 0.80–1.13). The influenza vaccine may marginally protect people from COVID-19 infection.

scholarly journals Can online self-reports assist in real-time identification of influenza vaccination uptake? A cross-sectional study of influenza vaccine-related tweets in the USA, 2013–2017

BMJ Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. e024018 ◽  
Author(s):  
Xiaolei Huang ◽  
Michael C Smith ◽  
Amelia M Jamison ◽  
David A Broniatowski ◽  
Mark Dredze ◽  
...  
Keyword(s):  
Social Media ◽  
Influenza Vaccine ◽  
Influenza Vaccination ◽  
Real Time ◽  
Vaccination Coverage ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Twitter Data ◽  
The Usa

IntroductionThe Centers for Disease Control and Prevention (CDC) spend significant time and resources to track influenza vaccination coverage each influenza season using national surveys. Emerging data from social media provide an alternative solution to surveillance at both national and local levels of influenza vaccination coverage in near real time.ObjectivesThis study aimed to characterise and analyse the vaccinated population from temporal, demographical and geographical perspectives using automatic classification of vaccination-related Twitter data.MethodsIn this cross-sectional study, we continuously collected tweets containing both influenza-related terms and vaccine-related terms covering four consecutive influenza seasons from 2013 to 2017. We created a machine learning classifier to identify relevant tweets, then evaluated the approach by comparing to data from the CDC’s FluVaxView. We limited our analysis to tweets geolocated within the USA.ResultsWe assessed 1 124 839 tweets. We found strong correlations of 0.799 between monthly Twitter estimates and CDC, with correlations as high as 0.950 in individual influenza seasons. We also found that our approach obtained geographical correlations of 0.387 at the US state level and 0.467 at the regional level. Finally, we found a higher level of influenza vaccine tweets among female users than male users, also consistent with the results of CDC surveys on vaccine uptake.ConclusionSignificant correlations between Twitter data and CDC data show the potential of using social media for vaccination surveillance. Temporal variability is captured better than geographical and demographical variability. We discuss potential paths forward for leveraging this approach.

scholarly journals Perceived fear of COVID-19 and its associated factors among Nepalese older adults in eastern Nepal: A cross-sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254825
Author(s):  
Uday Narayan Yadav ◽  
Om Prakash Yadav ◽  
Devendra Raj Singh ◽  
Saruna Ghimire ◽  
Binod Rayamajhee ◽  
...  
Keyword(s):  
Older Adults ◽  
Associated Factors ◽  
Age Groups ◽  
Psychological Needs ◽  
Cross Sectional Study ◽  
Current Evidence ◽  
Severe Illness ◽  
Sectional Study ◽  
Cross Sectional ◽  
Increased Risk

Background Coronavirus disease 2019 (COVID-19) has affected all age groups worldwide, but older adults have been affected greatly with an increased risk of severe illness and mortality. Nepal is struggling with the COVID-19 pandemic. The normal life of older adults, one of the vulnerable populations to COVID-19 infection, has been primarily impacted. The current evidence shows that the COVID-19 virus strains are deadly, and non-compliance to standard protocols can have serious consequences, increasing fear among older adults. This study assessed the perceived fear of COVID-19 and associated factors among older adults in eastern Nepal. Methods A cross-sectional study was conducted between July and September 2020 among 847 older adults (≥60 years) residing in three districts of eastern Nepal. Perceived fear of COVID-19 was measured using the seven-item Fear of COVID-19 Scale (FCV-19S). Multivariate logistic regression identified the factors associated with COVID-19 fear. Results The mean score of the FCV-19S was 18.1 (SD = 5.2), and a sizeable proportion of older adults, ranging between 12%-34%, agreed with the seven items of the fear scale. Increasing age, Dalit ethnicity, remoteness to the health facility, and being concerned or overwhelmed with the COVID-19 were associated with greater fear of COVID-19. In contrast, preexisting health conditions were inversely associated with fear. Conclusion Greater fear of the COVID-19 among the older adults in eastern Nepal suggests that during unprecedented times such as the current pandemic, the psychological needs of older adults should be prioritized. Establishing and integrating community-level mental health support as a part of the COVID-19 preparedness and response plan might help to combat COVID-19 fear among them.

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