ABSTRACT
Background: With the popularization of the Internet and medical knowledge, more and more people are learning about allergic rhinitis (AR) on the Internet. Objective: This study aims to analyze the epidemiological characteristics and online public attention to AR in Wuhan, China, utilizing the most popular search engine in mainland China and meteorological data of Wuhan. Methods: To study the Internet attention and epidemiological characteristics of AR in Wuhan, the search volume (SV) of "Allergic Rhinitis" in Mandarin and AR-related search terms from 1 January 2014 through 31 December 2021 were recorded. For user interest, the search and demand data were collected and analyzed. Results: The yearly average Baidu SV of AR in both Wuhan and China increased year by year but began to decline gradually after the COVID-19 pandemic. Baidu SV of AR in Wuhan exhibited significant seasonal variation, with the first peak was from March to May and the second peak occurring between September and October. Correlation analysis revealed a moderate positive correlation between the monthly average SV of "Allergic Rhinitis" and "Mites" and "Mites + Pollen Allergy" in Wuhan, a weak positive correlation between the monthly average SV of "Allergic Rhinitis" and "Pollen Allergy," and a positive correlation between monthly SV of "Allergic Rhinitis" and the meteorological index of pollen allergy (MIPA). Conclusion: The attention given to the topic on the internet, as measured by the search volume, was reflective of the situation in Wuhan, China. It has the potential to predict the epidemiological characteristics of AR and help medical professionals more effectively plan seasonal AR health education.
Subject(s)
COVID-19 , Rhinitis, Allergic, Seasonal , Rhinitis, Allergic , Rhinitis , Humans , Rhinitis, Allergic, Seasonal/epidemiology , Pandemics , Infodemiology , COVID-19/epidemiology , Rhinitis, Allergic/epidemiology , China/epidemiologyABSTRACT
BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a new virus responsible for the outbreak of respiratory illness known as coronavirus disease 2019 (CoVID-19). Mycoplasma is an uncommon co-infected pathogen with SARS-CoV-2 and has not yet been reported. Computed tomography (CT), used as an accessory examination, may play a more significant role in this co-infection. CASE SUMMARY: A 49-year-old female presented with a cough, expectoration and chest congestion followed by elevated C-reactive protein and erythrocyte sedimentation rate. CT images showed ground-glass opacities in bilateral lower lobes and a patchy and striate shadow in the right upper lobe. Immunoglobulin M antibody of Mycoplasma pneumoniae was positive and real-time fluorescence polymerase chain reaction of sputum was positive for SARS-CoV-2 nucleic acid. The diagnosis of CoVID-19 was made based on laboratory results, chest CT images, clinical manifestations and epidemiologic characteristics. She was treated with combination therapy for 17 d and showed a marked reCoVery. CONCLUSION: Co-infection with SARS-CoV-2 and Mycoplasma in CoVID-19 patients appears to be uncommon. CT is an acceptable method for the primary diagnosis and treatment should be initiated as soon as possible. Combination therapy with antiviral, anti-inflammatory, traditional Chinese herbal medicine and interferon inhalation may be a reference for further progress in treating this co-infection.