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1.
Zhonghua Yi Xue Za Zhi ; 102(30): 2315-2318, 2022 Aug 16.
Article in Chinese | MEDLINE | ID: covidwho-1994236

ABSTRACT

On May 13, 2022, World Health Organization(WHO) Position Paper on Influenza Vaccine (2022 edition) was published. This position paper updates information on influenza epidemiology, high risk population, the impact of immunization on disease, influenza vaccines and effectiveness and safety, and propose WHO's position and recommendation that all countries should consider implementing seasonal influenza vaccine immunization programmes to prepare for an influenza pandemic. In addition, it proposes that the influenza surveillance platform can be integrated with the surveillance of other respiratory viruses, such as SARS-CoV-2 and Respiratory Syncytial Virus. This position paper has some implications for the prevention and control of influenza and other respiratory infectious diseases in China: (1) Optimize influenza vaccine policies to facilitate the implementation of immunization services; (2) Influenza prevention and control should from the perspective of Population Medicine focus on the individual and community to integrate with "Promotion, Prevention, Diagnosis, Control, Treatment, Rehabilitation"; (3) Incorporate prevention and control of other respiratory infectious diseases such as influenza, COVID-19, respiratory syncytial virus and adenovirus, and intelligently monitor by integrating multi-channel data to achieve the goal of co-prevention and control of multiple diseases.


Subject(s)
COVID-19 , Influenza Vaccines , Influenza, Human , Humans , Influenza, Human/epidemiology , Influenza, Human/prevention & control , SARS-CoV-2 , World Health Organization
2.
Academic Journal of Second Military Medical University ; 41(7):828-831, 2020.
Article in Chinese | EMBASE | ID: covidwho-859169

ABSTRACT

Objective To observe the visits of fever clinic during the epidemic of coronavirus disease 2019 (COVID-19) and the epidemic characteristics of COVID-19, so as to analyze the disease development trend. Methods The clinical data of fever outpatients (including COVID-19 patients) in Gongli Hospital affiliated to Naval Medical University (Second Military Medical University) from Jan. 15, 2020 to Feb. 29, 2020 were collected for epidemiological descriptive analysis. Results Among the 2 193 patients visiting our hospital between Jan. 15, 2020 and Feb. 29, 2020, 97.08% had respiratory system infection, followed by digestive system infection and urinary system infection. Eighty-one suspected cases and 10 confirmed cases of COVID-19 were identified. Among the suspected cases, there were 38 males (46.91%) and 43 females (53.09%). Among the confirmed cases, four were males and six were females. The onset age of the suspected cases ranged from 20 to 69 years old (83.95%), and all the 10 confirmed patients were ≥50 years old. The suspected patients were mainly employees (31 cases, 38.27%) and retirees (14 cases, 17.28%). Among the 10 confirmed patients, eight cases were retirees. Of the suspected cases, 15 (18.52%) had lived in Hubei province and 52 (64.20%) had an epidemiological history. Of the confirmed cases, seven had lived in Hubei province and all had an epidemiological histories. The onset cycles of suspected and confirmed cases were mainly from Jan. 21, 2020 to Feb. 10, 2020. The main clinical symptoms of the suspected cases were fever (66 cases, 81.48%) and cough (50 cases, 61.73%). The blood routine showed normal white blood cell (65 cases, 80.25%), normal lymphocyte (49 cases, 60.49%) and decreased lymphocyte (24 cases, 29.63%). Chest CT showed COVID-19 characteristics in 13 cases (16.05%). Among the 10 confirmed patients, the main clinical manifestations were also fever (nine cases) and cough (eight cases). The blood routine showed normal white blood cells (10 cases), normal lymphocytes (six cases) and decreased lymphocytes (four cases). Chest CT showed COVID-19 characteristics in seven cases. Conclusion COVID-19 is more common in middle-aged and elderly retirees, with significant epidemiological and family clustering characteristics.

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