Exploration of the association between meteorological factors and positive rate of norovirus infectious diarrhea based on the distributed lag non-linear model in Shanghai

ZHOU Shi-xia; ZHANG Hai-yang; WANG Li-ping; LIU Wei; FANG Li-qun; National Science and Technology Major Project Etiology of Diarrhea Surveillance Study Team

doi:10.16462/j.cnki.zhjbkz.2021.10.012

Volume 25 Issue 10

Nov. 2021

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2021 > 25(10): 1180-1185, 1193

ZHOU Shi-xia, ZHANG Hai-yang, WANG Li-ping, LIU Wei, FANG Li-qun, National Science and Technology Major Project Etiology of Diarrhea Surveillance Study Team. Exploration of the association between meteorological factors and positive rate of norovirus infectious diarrhea based on the distributed lag non-linear model in Shanghai[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(10): 1180-1185, 1193. doi: 10.16462/j.cnki.zhjbkz.2021.10.012

Citation:

ZHOU Shi-xia, ZHANG Hai-yang, WANG Li-ping, LIU Wei, FANG Li-qun, National Science and Technology Major Project Etiology of Diarrhea Surveillance Study Team. Exploration of the association between meteorological factors and positive rate of norovirus infectious diarrhea based on the distributed lag non-linear model in Shanghai[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(10): 1180-1185, 1193. doi: 10.16462/j.cnki.zhjbkz.2021.10.012

Citation:

ZHOU Shi-xia, ZHANG Hai-yang, WANG Li-ping, LIU Wei, FANG Li-qun, National Science and Technology Major Project Etiology of Diarrhea Surveillance Study Team. Exploration of the association between meteorological factors and positive rate of norovirus infectious diarrhea based on the distributed lag non-linear model in Shanghai[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(10): 1180-1185, 1193. doi: 10.16462/j.cnki.zhjbkz.2021.10.012

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Exploration of the association between meteorological factors and positive rate of norovirus infectious diarrhea based on the distributed lag non-linear model in Shanghai

doi: 10.16462/j.cnki.zhjbkz.2021.10.012

ZHOU Shi-xia^{1, 2},
ZHANG Hai-yang²,
WANG Li-ping³,
LIU Wei^{2, 4},
FANG Li-qun^{1, 2
,
,},
National Science and Technology Major Project Etiology of Diarrhea Surveillance Study Team

1.
School of Public Health, Anhui Medical University, Hefei 230032, China
2.
State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
3.
Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
4.
Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing 100191, China

Funds:

National Science and Technology Major Project 2018ZX10713001

National Science and Technology Major Project 2018ZX10713002

National Science and Technology Major Project 2018ZX10201001

More Information

Corresponding author: FANG Li-qun, E-mail: fang_lq@163.com
Received Date: 2021-03-02
Rev Recd Date: 2021-05-04

Available Online: 2021-11-17

Publish Date: 2021-10-10

Abstract

Abstract

Objective To explore the association between norovirus among diarrheal patients and meteorological factors in Shanghai, and to provide a scientific basis for the prevention and control of norovirus infectious diarrhea. Methods We collected the data of diarrhea in Shanghai from 2012 to 2019 and the daily meteorological data of all meteorological monitoring points in Shanghai. A distributed lag non-linear model (DLNM) was constructed to analyze the relationship between norovirus infections diarrhea and meteorological factors. Results 18.75% of the 21 148 diarrheal patients were found norovirus. Age group of 45~ < 60 years old patients were found with the highest positive percentage (22.72%). Compared with the daily average temperature of 18 ℃ (P₅₀), the daily average temperature of -6 ℃ had the greatest impact on norovirus infection (RR=3.06, 95% CI: 1.49-6.30); the average daily temperature lagging by 2 days has a maximum impact on norovirus infection (RR=1.15, 95% CI: 1.02-1.29). Compared with the daily precipitation of 0mm (P₅₀), the highest negative effect was associated with daily precipitation of 195 mm (RR=0.31, 95% CI: 0.06-1.66). Conclusions The rate of norovirus infection in patients in Shanghai is high, and low temperature increases the risk of norovirus infectious diarrhea. Targeted prevention and control work should be carried out according to the characteristics of norovirus epidemic.
- Norovirus,
- Sentinel surveillance,
- Distributed lag non-linear model,
- Diarrhea

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References(18)

References

[1]	GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the global burden of disease Study 2017 [J]. Lancet, 2018, 392(10159): 1736-1788. DOI: 10.1016/s0140-6736(18)32203-7.
[2]	Esposito S, Principi N. Norovirus vaccine: priorities for future research and development [J]. Front Immunol, 2020, 11: 1383. DOI: 10.3389/fimmu.2020.01383.
[3]	余建兴, 赖圣杰, 王鑫, 等. 中国27省(市、自治区)2009-2013年门诊腹泻病例诺如病毒流行特征分析[J]. 中华流行病学杂志, 2015, 36(3): 199-204. DOI: 10.3760/cma.j.issn.0254-6450.2015.03.003. Yu JX, Lai SJ, Wang X, et al. Analysis of epidemiology characteristics of norovirus among diarrheal outpatients in 27 provinces in China, 2009-2013 [J]. Chin J Epidemiol, 2015, 36(3): 199-204. DOI: 10.3760/cma.j.issn.0254-6450.2015.03.003.
[4]	Glass RI, Parashar UD, Estes MK. Norovirus gastroenteritis [J]. N Engl J Med, 2009, 361(18): 1776-1785. DOI: 10.1056/nejmra0804575.
[5]	Xu J, Yang Y, Sun J, et al. Molecular epidemiology of rotavirus infections among children hospitalized for acute gastroenteritis in Shanghai, China, 2001 through 2005 [J]. J Clin Virol, 2009, 44(1): 58-61. DOI: 10.1016/j.jcv.2008.09.012.
[6]	张静, 常昭瑞, 孙军玲, 等. 我国诺如病毒感染性腹泻流行现状及防制措施建议[J]. 疾病监测, 2014, 29(7): 516-521. DOI: 10.3784/j.issn.1003-9961.2014.07.004. Zhang J, Chang ZR, Sun JL, et al. Infectious diarrhea epidemics caused by norovirus and its control strategy in China [J]. Dis Surveill, 2014, 29(7): 516-521. DOI: 10.3784/j.issn.1003-9961.2014.07.004.
[7]	Levy K, Hubbard AE, Eisenberg JN. Seasonality of rotavirus disease in the tropics: a systematic review and meta-analysis [J]. Int J Epidemiol, 2009, 38(6): 1487-1496. DOI: 10.1093/ije/dyn260.
[8]	Lee RM, Lessler J, Lee RA, et al. Incubation periods of viral gastroenteritis: a systematic review [J]. BMC Infect Dis, 2013, 13: 446. DOI: 10.1186/1471-2334-13-446.
[9]	刘志东. 气象因素致其他感染性腹泻发病综合风险评估及预警模型研究[D]. 济南: 山东大学, 2020. Liu ZD. Impact of meteorological factor on other infectious diarrhea: comprehensive risk estimation and early warning models [D]. Jinan: Shandong University, 2020.
[10]	刘白薇, 高志勇, 王全意, 等. 北京市2013-2014年肠道门诊腹泻患者中诺如病毒感染的流行病学及临床特征分析[J]. 中华流行病学杂志, 2015, 36(4): 383-386. DOI: 10.3760/cma.j.issn.0254-6450.2015.04.019. Liu BW, Gao ZY, Wang QY, et al. Epidemiological and clinical features of norovirus infection among diarrhea patients from the enteric clinics in Beijing, 2013-2014 [J]. Chin J Epidemiol, 2015, 36(4): 383-386. DOI: 10.3760/cma.j.issn.0254-6450.2015.04.019.
[11]	郑文龙, 赵帅, 马洁, 等. 2015-2016年天津市哨点医院腹泻病例诺如病毒感染状况调查[J]. 疾病监测, 2019, 34(1): 48-52. DOI: 10.3784/j.issn.1003-9961.2019.01.012. Zheng WL, Zhao S, Ma J, et al. Investigation of noruvirus infection status in diarrhea cases in sentinel hospitals in Tianjin, 2015-2016 [J]. Dis Surveill, 2019, 34(1): 48-52. DOI: 10.3784/j.issn.1003-9961.2019.01.012.
[12]	林声, 潘浩, 肖文佳, 等. 上海市2013-2018年成年人诺如病毒引发感染性腹泻的流行特征研究[J]. 中华流行病学杂志, 2019, 40(8): 883-888. DOI: 10.3760/cma.j.issn.0254-6450.2019.08.003. Lin S, Pan H, Xiao WJ, et al. Epidemiological characteristics of norovirus infection among adult patients with infectious diarrhea, in Shanghai, 2013-2018 [J]. Chin J Epidemiol, 2019, 40(8): 883-888. DOI: 10.3760/cma.j.issn.0254-6450.2019.08.003.
[13]	van Beek J, Ambert-Balay K, Botteldoorn N, et al. Indications for worldwide increased norovirus activity associated with emergence of a new variant of genotype Ⅱ. 4, late 2012 [J]. Euro Surveill, 2013, 18(1): 8-9. http://med.wanfangdata.com.cn/Paper/Detail/PeriodicalPaper_PM23305715
[14]	Xue C, Pan L, Zhu W, et al. Molecular epidemiology of genogroup Ⅱ norovirus infections in acute gastroenteritis patients during 2014-2016 in Pudong new area, Shanghai, China [J]. Gut Pathog, 2018, 10: 7. DOI: 10.1186/s13099-018-0233-1.
[15]	Ahmed SM, Lopman BA, Levy K. A systematic review and meta-analysis of the global seasonality of norovirus [J]. PLoS One, 2013, 8: e75922. DOI: 10.1371/journal.pone.0075922.
[16]	Rzezutka, A. Cook N. Survival of human enteric viruses in the environment and food [J]. FEMS Microbiol Rev, 2004, 28, 441-453. DOI: 10.1016/j.femsre.2004.02.001.
[17]	Simon AK, Hollander GA, McMichael A. Evolution of the immune system in humans from infancy to old age [J]. Proc Biol Sci, 2015, 282(1821): 20143085. DOI: 10.1098/rspb.2014.3085.
[18]	Wang P, Goggins WB, Chan EYY. A time-series study of the association of rainfall, relative humidity and ambient temperature with hospitalizations for rotavirus and norovirus infection among children in Hong Kong [J]. Sci Total Environ, 2018, 643: 414-422. DOI: 10.1016/j.scitotenv.2018.06.189.