The role of the nurse in measles prevention

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During the implementation of the measles elimination program in the Russian Federation, active detection of all cases of measles is of great importance. With the help of government and international programs, in which WHO participates, and others in which the World Red Cross is involved, the efforts of nurses and other health workers are helping to increase measles vaccination rates and prevent the spread of this dangerous infection. Some countries also face problems of negative public attitudes towards vaccination, which can lead to low coverage and spread of diseases. Nurses must convince the population of the need for vaccination and combat myths and misinformation about vaccines. Nurses play an important role in the fight against measles and other infectious diseases through the organization and administration of vaccinations, community education and disease data collection.

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作者简介

Yanetta Erеmushkina

A. I. Yevdokimov Moscow State University of Medicine and Dentistry of the Ministry of Healthcare of the Russian Federation

Email: janetta_e@mail.ru
ORCID iD: 0000-0002-4188-0003

Candidate of Medical Sciences, Associate Professor, Associate Professor Department of Infectious Diseases and Epidemiology

俄罗斯联邦, Moscow

Tatiana Kuskova

A. I. Yevdokimov Moscow State University of Medicine and Dentistry of the Ministry of Healthcare of the Russian Federation

编辑信件的主要联系方式.
Email: kuskova_tatiana@mail.ru
ORCID iD: 0000-0003-0934-0645

Candidate of Medical Sciences, Associate Professor, Associate Professor Department of Infectious Diseases and Epidemiology

俄罗斯联邦, Moscow

参考

  1. WHO epidemiological data https://www.who.int/europe/teams/vaccine-preventable-diseases-immunization/who-epidata (circulation date 02.03.2023)
  2. Office of Rospotrebnadzor in Moscow. Information letter dated 10.02.2023. http://77.rospotrebnadzor.ru (circulation date 02.03.2023)
  3. Infectious diseases: national guidelines. Brief edition / ed. N.D. Yushchuk, Yu.Ya. Vengerov. - M.: GEOTAR-Media, 2019. - 848 p.
  4. Eremushkina Ya.M., Vdovina E.T., Kotiv S.I., Kuskova T.K. Algorithm for diagnosing measles in a difficult epidemic situation. Analysis of clinical data. Infectious diseases. 2015; (4): 76–82.
  5. SanPiN 3.3686-21 «Sanitary and epidemiological requirements for the prevention of infectious diseases». XXXV. «Prevention of measles, rubella, mumps».

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2. Pic. 1. Diagnostic algorithm for measles in adults

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3. Pic. 2. Regulations for a nurse in the inoculation room

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