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CN 34-1304/RISSN 1674-3679

Volume 25 Issue 3
Mar.  2021
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Article Contents
MA Tao, HONG Lei, DU Xue-fei, JIANG Gen, LIU Yan, WANG Jun-jun, XU Qing, WANG Heng-xue, DING Jie, LIN Dan, ZHANG Min. Epidemiological characteristics and temporal-spatial clustering of scarlet fever in Nanjing from 2014 to 2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(3): 346-351. doi: 10.16462/j.cnki.zhjbkz.2021.03.018
Citation: MA Tao, HONG Lei, DU Xue-fei, JIANG Gen, LIU Yan, WANG Jun-jun, XU Qing, WANG Heng-xue, DING Jie, LIN Dan, ZHANG Min. Epidemiological characteristics and temporal-spatial clustering of scarlet fever in Nanjing from 2014 to 2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(3): 346-351. doi: 10.16462/j.cnki.zhjbkz.2021.03.018

Epidemiological characteristics and temporal-spatial clustering of scarlet fever in Nanjing from 2014 to 2019

doi: 10.16462/j.cnki.zhjbkz.2021.03.018
Funds:

Nanjing key medical specialty (Infectious disease prevention and control) aaa

Major project of the 13th Five-Year Plan of Nanjing health committee ZDX16020

Jiangsu Province preventive medicine program Y2018077

More Information
  • Corresponding author: ZHANG Min, E-mail: min_yezi@163.com
  • Received Date: 2020-12-01
  • Rev Recd Date: 2021-01-05
  • Publish Date: 2021-03-10
  •   Objective  To analyze epidemiological characteristics of scarlet fever in Nanjing, and to explore key regions for prevention and control, in order to provide strategies and measures for control and prevention of scarlet fever.  Methods  Descriptive epidemiologic methods were used to analyze scarlet fever data in Nanjing from 2014 to 2019 from the Chinese Disease Surveillance Information Reporting System. Seasonal index method and time-space rescheduling scanning analysis were used to explore the seasonal distribution and spatio-temporal distribution characteristics.  Results  A total of 1 578 scarlet fever cases were reported in Nanjing from 2014 to 2019, the median cases was 214 (120 to 596). The median reported incidence was 2.55/100 000 (1.47/100 000 to 7.06/100 000) with increasing levels of reported incidence since 2014. The seasonal distribution showed a bimodal pattern with November to January of the following year (seasonal indexs were 1.5, 2.0 and 1.0) and April to June (seasonal indexs were 1.0, 1.9 and 1.4). The median age was 6 (0 to 43) years old. The proportion of cases aged 6 to 10 years old was 61.4%, aged 3 to 5 years old was 32.1%, and aged 0 to 2 years old was 4.0%. The proportion for students was 51.2%, for preschool children was 39.9% and for scattered children was 7.1%. The Jiangbei New Area and Luhe District had a much higher incidence level than the other districts of Nanjing. The reported incidences in 2019 of Jiangbei New Area and Luhe District were 37.78/100 000 (265 cases) and 27.98/100 000 (212 cases), respectively. Nanjing Jiangbei People's Hospital in Jiangbei New Area and Luhe Hospital of Chinese Medicine in Luhe District diagnosed 58.8% and 12.2% of the reported cases, respectively. The spatio-temporal clustering regions were Jiangbei New Area in 2014 to 2018 (RR=19.4, P < 0.001) and Jiangbei New Area, Liuhe District, and Qixia District in 2019 (RR=9.5, P < 0.001).  Conclusions  It's suggested to strengthen the importance and action for prevention and control of scarlet fever, and medical institutions develop training in scarlet fever diagnosis and improve development of appropriate laboratory test capacity. Special investigation should be conducted to investigate the diagnostic quality of scarlet fever in medical institutions.
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