Comparison of Clinical Characteristics for Distinguishing COVID-19 From Influenza During the Early Stages in Guangdong, China

Li, Yongzhi; He, Huan; Gao, Yuhan; Ou, Zejin; He, Wenqiao; Chen, Caiyun; Fu, Jiaqi; Xiong, Husheng; Chen, Qing

doi:10.3389/fmed.2021.733999

Cited by 2 publications

(4 citation statements)

References 41 publications

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“…At the beginning of the outbreak of COVID-19, the search volume for "influenza" increased rapidly, reaching an unprecedented peak. Therefore, we speculate that the outbreak time of the epidemic is the season of frequent influenza, and the symptoms of patients with new coronavirus are like influenza [7][8][9][10][11]. It is difficult for the public to distinguish between the two, coupled with the fear of the epidemic, which has led to a surge in a public search for "influenza".…”

Section: Discussionmentioning

confidence: 99%

“…While viral competition and increased vaccination may have contributed, we propose that the most influential process in suppressing the influenza epidemic of 2020-2021 were the significant behavioral interventions in place due to the COVID-19 pandemic. Nonpharmaceutical interventions such as closures of schools and non-essential businesses, telework, restriction on gathering size [11], and mask-wearing have been key public health tools for limiting the impact of the COVID-19 pandemic [19,20].…”

Section: Discussionmentioning

confidence: 99%

“…According to the data from the World Health Organization, as of January 2, 2022, the COVID-19 pandemic has infected nearly 289 million people and has caused more than 5.4 million deaths worldwide. The symptoms of patients with COVID-19 are like those of patients with influenza, including fever, headache, muscle ache, and so on [7][8][9][10][11]. The COVID-19 outbreak occurred in the winter of 2019 [4], which coincided with the flu-prone season.…”

Section: Introductionmentioning

confidence: 99%

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Utilizing Baidu Index to Track Online Interest in Influenza During the COVID-19 Pandemic in China

He¹,

Tan²

2022

Cureus

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BackgroundInfluenza is commonly called the flu which is a contagious respiratory illness caused by influenza viruses that infect the nose, throat, and sometimes the lungs, usually a self-limiting, febrile disease of global importance. It occurs every year and infects the respiratory tract and can lead to sporadic, local outbreaks of widespread epidemics. The global burden of influenza epidemics on incidence rate and mortality is considerable. It is noted that patients with early coronavirus disease-2019 (COVID-19) have symptoms such as headache, nasal congestion, sneezing, and cough, which are like those of influenza. And the outbreak of COVID-19 coincided with the winter and spring season in the northern hemisphere with a high incidence of influenza. And it leads to the public's attention to influenza. MethodIn order to better clarify the social concern of Chinese people about "influenza" during the COVID-19 pandemic, this study conducted a trends analysis using the Baidu index from January 1, 2018, to January 1, 2022, and compared the public's search index with "COVID-19" during this period. This study used ArcGIS version 10.4 (https://www.esri.com/) to conduct a Global Moran's I analysis of the public concern of "influenza" in 31 provinces (municipalities directly under the central government and autonomous regions) in China from 2018 to 2021, except for Hong Kong, Macao, and Taiwan and a Local Moran's I of the "influenza" concern in 2018 and 2021. ResultsWe observed that before the outbreak of COVID-19, the search trend of the public for "influenza" was concentrated in the winter and spring of each year, showing seasonal characteristics. However, after the outbreak of COVID-19, the public's search trend for "influenza" increased sharply, and then it leveled off. This shows completely that there is a certain correlation between the COVID-19 outbreak and the online search for "influenza". Regarding the Global Moran's I, the spatial clustering of national "influenza" concerns was observed.During the COVID-19 pandemic, the spatial correlation between the magnitude of public concern and the spatial correlation became larger as the number of years increased and is greater than that before the outbreak of the COVID-19 pandemic. The results of Local Moran's I showed that the main types of local spatial autocorrelation in 2018 and 2021 were both positive high-high correlations, but the former was mainly concentrated in the eastern coastal region, while the latter began to spread to the central region. ConclusionThe analysis of the Baidu Index shows that during the COVID-19 pandemic, the public's interest in "influenza" first increased and then decreased, and then remained at a trough, no longer showing the seasonal change characteristics before the outbreak of the COVID-19, indicating that there may be a correlation between COVID-19 and "influenza". The Moran's I indicate that the national "influenza" concern is spatially clustered, while the spatial correlation is increasing and greater than before the outbreak of th...

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Utilizing Baidu Index to Track Online Interest in Influenza During the COVID-19 Pandemic in China

He¹,

Tan²

2022

Cureus

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“…La caracterización en este estudio de la enfermedad COVID-19 mostró algunos hallazgos que pueden orientar al médico primario a la diferenciación con la influenza en un futuro. Por ejemplo, la influenza muestra mayor prevalencia de fiebre alta, tos y expectoración y, en menor grado astenia [38,39]. En tanto, en los hallazgos de esta población muestra que en todos los grupos etarios predomina astenia, anosmia, cefalea y fiebre, y no los síntomas respiratorios.…”

Section: Discussionunclassified

Epidemiological and clinical characteristics of survivors of SARS-COV-2 infection: A descriptive study

Olavegogeascoechea¹,

Martinez²,

Scapellato³

et al. 2022

Medwave

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Introduction In March 2020, the World Health Organization (WHO) declared a pandemic for coronavirus 19. Typical symptoms were fever, cough, asthenia, dyspnea, and muscle pain. Pulmonary and central nervous system compromise presented challenging characteristics for healthcare physicians. The objectives of this study were to identify epidemiological and clinical characteristics of SARS-COV-2 infection survivors in a region of Argentina and to determine differences between gender, age groups, year of infection, and evolution time since diagnosis. Methods A descriptive and analytical cross-sectional observational study was carried out. A self-administered questionnaire was applied, which was available between August and December 2021. Results Among 1868 individuals included, the mean age was 39.4 ± 13.9 years, and 72.8% were female. Arterial hypertension was the most frequent comorbidity (11.7%). The majority were outpatients (81.9%). The most frequent presentation symptoms at all ages were asthenia (83.7%), fever (54.9%), headache (60.8%), anosmia (64.8%), ageusia (53.2%), cough (54.4%) and myalgias (53.7%). For the 18 to 29 years old age group, the most prevalent presentation symptoms were: headache (69.4%), anosmia (69.1%), ageusia (60.2%), odynophagia (45%), and rhinitis/nasal congestion (46.9%). In the 30 to 64 years old age group, there was a higher prevalence of myalgias (55.8%), arthralgias (41%), and concentration/memory disorder (28.3%). Male showed higher prevalence of fever (64.9% versus 51.1%; p < 0.001) and pneumonia (23.5% versus 13.4%; p < 0.001). After 12 weeks from diagnosis, 38.1% of patients persisted with asthenia, 23.6% with anosmia/dysosmia, and 21.2% with concentration/memory disorders. Conclusions Systemic symptoms were common to all age groups with coronavirus 19 disease; however, younger, and intermediate age groups presented a higher prevalence of central nervous system symptoms such as anosmia and cognitive disorders, respectively. Symptoms beyond 12 weeks of diagnosis reached slightly more than 10% of the participants.

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Comparison of Clinical Characteristics for Distinguishing COVID-19 From Influenza During the Early Stages in Guangdong, China

Cited by 2 publications

References 41 publications

Utilizing Baidu Index to Track Online Interest in Influenza During the COVID-19 Pandemic in China

Utilizing Baidu Index to Track Online Interest in Influenza During the COVID-19 Pandemic in China

Epidemiological and clinical characteristics of survivors of SARS-COV-2 infection: A descriptive study

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