COVID-19 and Influenza coinfection: The rise of Ômicron and H3N2 in Brazil – 2022

Fujita, Dennis Minoru; Soares, Graciela dos Santos; Sartori, Giselle Pacifico; Nali, Luiz Henrique da Silva

doi:10.1016/j.tmaid.2022.102262

Cited by 13 publications

(17 citation statements)

References 3 publications

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“…In Brazil, the Omicron variant was the cause of the third wave of COVID-19. There was a significant increase in number of infections in the first epidemiological week across the country [59] . Fig.…”

Section: Resultsmentioning

confidence: 97%

Wastewater-based epidemiology: A Brazilian SARS-COV-2 surveillance experience

Bueno

Claro

Augusto

et al. 2022

Journal of Environmental Chemical Engineering

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Section: Resultsmentioning

confidence: 97%

Wastewater-based epidemiology: A Brazilian SARS-COV-2 surveillance experience

Bueno

Claro

Augusto

et al. 2022

Journal of Environmental Chemical Engineering

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“…It has already been proven that in fully vaccinated populations, the vaccine effectiveness (VE) was high against infection (89.1%) and severe outcomes such as hospitalization (97.2%), admission to an intensive care unit (97.4%), and death (99.0%) [3]. However, despite the high effectiveness of the available vaccines [4][5][6], parts of the population remain susceptible to infection and long COVID [7][8][9]. Moreover, long COVID has been linked to more than 3,500 deaths emphasizing the need for prevention of infection [9].…”

Section: Introductionmentioning

confidence: 99%

Risk factors for long COVID among healthcare workers, Brazil, 2020–2022

Marra

Sampaio

Ozahata

et al. 2023

Preprint

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Objectives: We aimed to determine risk factors for the development of long coronavirus disease (COVID) in healthcare workers (HCWs). Methods: We conducted a case-control study among HCWs who had confirmed COVID-19 infection working in a Brazilian healthcare system between March 1, 2020 and July 15, 2022. Cases were defined as those having long COVID per the Centers for Disease Control and Prevention definition. Controls were defined as HCWs who had documented COVID-19 infection but did not develop long COVID. Multiple logistic regression was used to assess the association between exposure variables and long COVID during 180 days of follow-up. Results: Of 7,051 HCWs diagnosed with COVID-19 infection, 1,933 (27.4%) who developed long COVID were compared to 5,118 (72.6%) who did not. The majority of those with long COVID (51.8%) had 3 or more symptoms. Factors associated with development of long COVID were female sex (OR 1.21 [CI95 1.05-1.39]), age (OR 1.01 [CI95 1.00-1.02]), and two or more COVID-19 infections (1.27 [CI95 1.07-1.50]). Those infected with the Delta variant (OR 0.30 [CI95 0.17-0.50]) or the Omicron variant (OR 0.49 [CI95 0.30-0.78]), and those receiving four COVID-19 vaccine doses prior to infection (OR 0.05 [CI95 0.01-0.19]) were significantly less likely to develop long COVID. Conclusions: Long COVID can be prevalent among HCWs. We found that acquiring more than one COVID-19 infection was a major risk factor for long COVID, while maintenance of immunity via vaccination was highly protective.

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“…Influenza usually comes on sudden 4,5 . COVID-19 and the flu are contagious respiratory diseases caused by viruses 5,6 . They share common symptoms, including fever, cough, shortness of breath or difficulty breathing, tiredness, sore throat, runny or stuffy nose, muscle aches, headache, nausea or vomiting, which is more common in children 3,7,8 .…”

Section: Introductionmentioning

confidence: 99%

“…To control the COVID-19 pandemic, the epidemic prevention departments of various countries have adopted several control measures, such as maintaining social distancing, wearing masks, and restricting travel. While controlling the epidemic actively and effectively, the spread of the influenza virus has been blocked to a certain extent 6,[12][13][14][15] . According to preliminary data from the World Health Organization's Global Influenza…”

Section: Introductionmentioning

confidence: 99%

Positivity rate, risk factors and symptom characteristics of influenza virus in a tertiary hospital meeting COVID-19, Hangzhou, China

Wan

Zhang

2022

Preprint

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Background: Following the Coronavirus disease (COVID-19) pandemic, new changes in the transmission of various pathogens have occurred. The environmental changes influenced by the COVID-19 pandemic have affected the flow of human society and the survival environment of other microorganisms. The prevalence of influenza viruses has also changed under this selection pressure. Objective: To investigate the influenza virus’s prevalence, risk factors and symptom characteristics during the outbreak of COVID-19. Methods: Samples and data were collected from outpatients requiring respiratory virus tests in a tertiary hospital. Throat swabs were tested in the immunocolloidal gold method. Characteristics of influenza A and B compared before and after the outbreak of COVID-19. Results: The dominant virus strain in 2020-2022 has gradually changed from influenza A to influenza B. Influenza A is mainly prevalent in 0 to 20 years old (P < 0.05), and influenza B is dominant in all age groups. Most of the patients with positive results were from paediatrics and presented in fever clinics (P < 0.05); Most of the patients were diagnosed with fever and upper respiratory tract infection (P < 0.05). Conclusion: The influenza virus’s positive rate, risk factors and symptom characteristics have changed compared to previous years. It means the epidemic prevention measures have greatly affected the prevalence of the influenza virus since the outbreak of COVID-19.

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COVID-19 and Influenza coinfection: The rise of Ômicron and H3N2 in Brazil – 2022

Cited by 13 publications

References 3 publications

Wastewater-based epidemiology: A Brazilian SARS-COV-2 surveillance experience

Wastewater-based epidemiology: A Brazilian SARS-COV-2 surveillance experience

Risk factors for long COVID among healthcare workers, Brazil, 2020–2022

Positivity rate, risk factors and symptom characteristics of influenza virus in a tertiary hospital meeting COVID-19, Hangzhou, China

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