Comparing the timeliness of three types of influenza surveillance data in mainland China

QIN Kang; ZHANG Ye-wu; ZHANG Peng; LI Yan-fei; MA Jia-qi

doi:10.16462/j.cnki.zhjbkz.2019.04.004

Volume 23 Issue 4

Apr. 2019

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2019 > 23(4): 387-391

QIN Kang, ZHANG Ye-wu, ZHANG Peng, LI Yan-fei, MA Jia-qi. Comparing the timeliness of three types of influenza surveillance data in mainland China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(4): 387-391. doi: 10.16462/j.cnki.zhjbkz.2019.04.004

Citation:

QIN Kang, ZHANG Ye-wu, ZHANG Peng, LI Yan-fei, MA Jia-qi. Comparing the timeliness of three types of influenza surveillance data in mainland China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(4): 387-391. doi: 10.16462/j.cnki.zhjbkz.2019.04.004

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Comparing the timeliness of three types of influenza surveillance data in mainland China

doi: 10.16462/j.cnki.zhjbkz.2019.04.004

Public Health Surveillance and Information Service Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China

Funds:

National Natural Science Foundation of China U1611264

National science and technology major project of the ministry of science and technology of China 2017ZX10303401-005

More Information

Corresponding author: Ma Jia-qi, E-mail: majq@chinacdc.cn
Received Date: 2018-10-29
Rev Recd Date: 2019-01-27
Publish Date: 2019-04-10

Abstract

Abstract

Objective To evaluate the timeliness of the three sets of influenza surveillance data (influenza reported cases from Nationwide Notifiable Infectious Diseases Reporting Information System (NIDRIS), influenza-like illness consultation rate (ILI%) and influenza virus positive rate from Chinese Influenza Surveillance Information System) in mainland China. Methods The three sets of influenza surveillance data of North and South China from 2017 to 2018 were compared using peak comparison, cross correlation and Early Aberration Reporting System C3 method. Results The influenza epidemic trends reflected by the three sets of influenza surveillance weekly data from 2017 to 2018 were generally consistent and significantly correlated. However, the three sets of data had different timeliness. From 2017 to 2018, ILI% in the North was not timely at alarming the first epidemic peak, which was 6 weeks and 9 weeks later than influenza cases from NIDRIS and positive rate of influenza virus respectively. While in the South, ILI% was the most sensitive indicator, which was 4 weeks and 7 weeks earlier than influenza cases from NIDRIS and positive rate of influenza virus respectively. However, the three sets of data had little difference in the timeliness of the second epidemic peak both in the North and South. Conclusions The three sets of influenza surveillance data in mainland China could all roughly reflected the epidemic trend of influenza. After comparing the timeliness, a combination of influenza reported cases from NIDRIS together with ILI% and influenza virus positive rate could improve timeliness and accuracy for early warning of influenza.
- Influenza,
- Surveillance data,
- Timeliness,
- Comparison

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References(16)

References

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