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Published in: BMC Infectious Diseases 1/2022

Open Access 01-12-2022 | Influenza | Research

Spatiotemporally comparative analysis of three common infectious diseases in China during 2013–2015

Authors: Yang Shao, Meifang Li, Jin Luo, Le Yu, Xia Li

Published in: BMC Infectious Diseases | Issue 1/2022

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Abstract

Background

Dengue fever (DF), influenza, and hand, foot, and mouth disease (HFMD) have had several various degrees of outbreaks in China since the 1900s, posing a serious threat to public health. Previous studies have found that these infectious diseases were often prevalent in the same areas and during the same periods in China.

Methods

This study combined traditional descriptive statistics and spatial scan statistic methods to analyze the spatiotemporal features of the epidemics of DF, influenza, and HFMD during 2013–2015 in mainland China at the provincial level.

Results

DF got an intensive outbreak in 2014, while influenza and HFMD were stable from 2013 to 2015. DF mostly occurred during August–November, influenza appeared during November–next March, and HFMD happened during April–November. The peaks of these diseases form a year-round sequence; Spatially, HFMD generally has a much higher incidence than influenza and DF and covers larger high-risk areas. The hotspots of influenza tend to move from North China to the southeast coast. The southeastern coastal regions are the high-incidence areas and the most significant hotspots of all three diseases.

Conclusions

This study suggested that the three diseases can form a year-round sequence in southern China, and the southeast coast of China is a particularly high-risk area for these diseases. These findings may have important implications for the local public health agency to allocate the prevention and control resources.
Literature
1.
go back to reference Mao Y, He R, Zhu B, Liu J, Zhang N. Notifiable respiratory infectious diseases in China: a spatial–temporal epidemiology analysis. Int J Environ Res Public Health. 2020;17(7):2301.PubMedCentralCrossRef Mao Y, He R, Zhu B, Liu J, Zhang N. Notifiable respiratory infectious diseases in China: a spatial–temporal epidemiology analysis. Int J Environ Res Public Health. 2020;17(7):2301.PubMedCentralCrossRef
2.
go back to reference Tu W, Liu X, Luo L, Fu S, Wang X, Meng L, Hong Z, Xiang N, Shi G. Risk assessment of public health emergencies concerned in the mainland of China, October 2018. Dis Surveill. 2018;33(10):799–802. Tu W, Liu X, Luo L, Fu S, Wang X, Meng L, Hong Z, Xiang N, Shi G. Risk assessment of public health emergencies concerned in the mainland of China, October 2018. Dis Surveill. 2018;33(10):799–802.
3.
go back to reference Li H, Ling F, Zhang S, Liu Y, Wang C, Lin H, Sun J, Wu Y. Comparison of 19 major infectious diseases during COVID-19 epidemic and previous years in Zhejiang, implications for prevention measures. BMC Infect Dis. 2022;22(1):1–14.CrossRef Li H, Ling F, Zhang S, Liu Y, Wang C, Lin H, Sun J, Wu Y. Comparison of 19 major infectious diseases during COVID-19 epidemic and previous years in Zhejiang, implications for prevention measures. BMC Infect Dis. 2022;22(1):1–14.CrossRef
4.
5.
go back to reference Yue Y, Liu X, Xu M, Ren D, Liu Q. Epidemiological dynamics of dengue fever in mainland China, 2014–2018. Int J Infect Dis. 2019;86:82–93.PubMedCrossRef Yue Y, Liu X, Xu M, Ren D, Liu Q. Epidemiological dynamics of dengue fever in mainland China, 2014–2018. Int J Infect Dis. 2019;86:82–93.PubMedCrossRef
6.
go back to reference Xiong Y, Chen Q. Epidemiology of dengue fever in China since 1978. J South Med Univ. 2014;34:1822–5. Xiong Y, Chen Q. Epidemiology of dengue fever in China since 1978. J South Med Univ. 2014;34:1822–5.
7.
go back to reference Liu K, Sun J, Liu X, Li R, Wang Y, Lu L, Wu H, Gao Y, Xu L, Liu Q. Spatiotemporal patterns and determinants of dengue at county level in China from 2005–2017. Int J Infect Dis. 2018;77:96–104.PubMedCrossRef Liu K, Sun J, Liu X, Li R, Wang Y, Lu L, Wu H, Gao Y, Xu L, Liu Q. Spatiotemporal patterns and determinants of dengue at county level in China from 2005–2017. Int J Infect Dis. 2018;77:96–104.PubMedCrossRef
8.
go back to reference Wang L, Yang G, Jia L, Zhu J, Xie J, Li P, Qiu S, Hao R, Wu Z, Pu W. Epidemiologic characteristics of dengue in China (2010–2014). J Infect. 2015;71(3):397–9.PubMedCrossRef Wang L, Yang G, Jia L, Zhu J, Xie J, Li P, Qiu S, Hao R, Wu Z, Pu W. Epidemiologic characteristics of dengue in China (2010–2014). J Infect. 2015;71(3):397–9.PubMedCrossRef
9.
go back to reference Li M, Ou J, Li X. Spatio-temporal analysis of influenza A (H1N1) in China during 2009–2013 based on GIS. Geogr Res. 2016;35(11):2139–52. Li M, Ou J, Li X. Spatio-temporal analysis of influenza A (H1N1) in China during 2009–2013 based on GIS. Geogr Res. 2016;35(11):2139–52.
10.
go back to reference Gao Y, Wang H, Yi S, Wang D, Ma C, Tan B, Wei Y. Spatial and temporal characteristics of hand-foot-and-mouth disease and their influencing factors in Urumqi, China. Int J Environ Res Public Health. 2021;18(9):4919.PubMedPubMedCentralCrossRef Gao Y, Wang H, Yi S, Wang D, Ma C, Tan B, Wei Y. Spatial and temporal characteristics of hand-foot-and-mouth disease and their influencing factors in Urumqi, China. Int J Environ Res Public Health. 2021;18(9):4919.PubMedPubMedCentralCrossRef
11.
go back to reference Ji H, Fan H, Ai J, Shi C, Bi J, Chen YH, Lu XP, Chen QH, Tian JM, Bao CJ. Neurocognitive deficits and sequelae following severe hand, foot, and mouth disease from 2009 to 2017, in JiangSu Province, China: a long-term follow-up study. Int J Infect Dis. 2022;115:245–55.PubMedCrossRef Ji H, Fan H, Ai J, Shi C, Bi J, Chen YH, Lu XP, Chen QH, Tian JM, Bao CJ. Neurocognitive deficits and sequelae following severe hand, foot, and mouth disease from 2009 to 2017, in JiangSu Province, China: a long-term follow-up study. Int J Infect Dis. 2022;115:245–55.PubMedCrossRef
12.
go back to reference Yi S, Wang H, Yang S, Xie L, Gao Y, Ma C. Spatial and temporal characteristics of hand-foot-and-mouth disease and its response to climate factors in the Ili River valley region of China. Int J Environ Res Public Health. 2021;18(4):1954.PubMedPubMedCentralCrossRef Yi S, Wang H, Yang S, Xie L, Gao Y, Ma C. Spatial and temporal characteristics of hand-foot-and-mouth disease and its response to climate factors in the Ili River valley region of China. Int J Environ Res Public Health. 2021;18(4):1954.PubMedPubMedCentralCrossRef
13.
go back to reference Wu Y, Wang L, Chen L, Wang J, Qin Y, Song Y, Li Z, He G. Epidemiologic characteristics of dengue fever in foreigner population in China, 2005–2017. Dis Surveill. 2019;34(9):839–43. Wu Y, Wang L, Chen L, Wang J, Qin Y, Song Y, Li Z, He G. Epidemiologic characteristics of dengue fever in foreigner population in China, 2005–2017. Dis Surveill. 2019;34(9):839–43.
14.
go back to reference Dhewantara PW, Ruliansyah A, Fuadiyah MEA, Astuti EP, Widawati M, Widawati M. Space-time scan statistics of 2007–2013 dengue incidence in Cimahi city, Indonesia. Geospat Health. 2015;10(2):255–60.CrossRef Dhewantara PW, Ruliansyah A, Fuadiyah MEA, Astuti EP, Widawati M, Widawati M. Space-time scan statistics of 2007–2013 dengue incidence in Cimahi city, Indonesia. Geospat Health. 2015;10(2):255–60.CrossRef
15.
go back to reference Liu H, Zhang Y, Tian Y, Zheng Y, Gou F, Yang X, He J, Liu X, Meng L, Hu W. Epidemic features of seasonal influenza transmission among eight different climate zones in Gansu, China. Environ Res. 2020;183:109189.PubMedCrossRef Liu H, Zhang Y, Tian Y, Zheng Y, Gou F, Yang X, He J, Liu X, Meng L, Hu W. Epidemic features of seasonal influenza transmission among eight different climate zones in Gansu, China. Environ Res. 2020;183:109189.PubMedCrossRef
16.
go back to reference Yang J, Chen T, Zhu F, Wang L, Wang D. Analysis of the reported influenza cases in China’s mainland between 2017 and 2018. J Trop Dis Parasitol. 2018;16(2):63–6. Yang J, Chen T, Zhu F, Wang L, Wang D. Analysis of the reported influenza cases in China’s mainland between 2017 and 2018. J Trop Dis Parasitol. 2018;16(2):63–6.
17.
go back to reference Song J, Liu D, Lei Y, Hai X, Jiang X, Yue H, Zhang Y, Han S, Wang W. Spatiotemporal clustering analysis of hand-foot-mouth disease in Inner Mongolia between 2016 and 2018. Mod Prev Med. 2019;46(20):3649–54. Song J, Liu D, Lei Y, Hai X, Jiang X, Yue H, Zhang Y, Han S, Wang W. Spatiotemporal clustering analysis of hand-foot-mouth disease in Inner Mongolia between 2016 and 2018. Mod Prev Med. 2019;46(20):3649–54.
18.
go back to reference Wang C, Cao K, Zhang Y, Fang L, Li X, Xu Q, Huang F, Tao L, Guo J, Gao Q, et al. Different effects of meteorological factors on hand, foot and mouth disease in various climates: a spatial panel data model analysis. BMC Infect Dis. 2016;16(1):1–10.CrossRef Wang C, Cao K, Zhang Y, Fang L, Li X, Xu Q, Huang F, Tao L, Guo J, Gao Q, et al. Different effects of meteorological factors on hand, foot and mouth disease in various climates: a spatial panel data model analysis. BMC Infect Dis. 2016;16(1):1–10.CrossRef
19.
go back to reference Meng L, Yin W, Zhou L, Liu F, Chen T, Wang Y, He J, Hong Z, Cao Q, Li Y, et al. Risk assessment of public health emergencies and communicable diseases concerned in the China’s mainland, October 2014. Dis Surveill. 2014;29(10):764–7. Meng L, Yin W, Zhou L, Liu F, Chen T, Wang Y, He J, Hong Z, Cao Q, Li Y, et al. Risk assessment of public health emergencies and communicable diseases concerned in the China’s mainland, October 2014. Dis Surveill. 2014;29(10):764–7.
20.
go back to reference Li Y, Dou Q, Lu Y, Xiang H, Yu X, Liu S. Effects of ambient temperature and precipitation on the risk of dengue fever: a systematic review and updated meta-analysis. Environ Res. 2020;191:110043.PubMedCrossRef Li Y, Dou Q, Lu Y, Xiang H, Yu X, Liu S. Effects of ambient temperature and precipitation on the risk of dengue fever: a systematic review and updated meta-analysis. Environ Res. 2020;191:110043.PubMedCrossRef
21.
go back to reference Liu Z, Meng Y, Xiang H, Lu Y, Liu S. Association of short-term exposure to meteorological factors and risk of hand, foot, and mouth disease: a systematic review and meta-snalysis. Int J Environ Res Public Health. 2020;17(21):8017.PubMedCentralCrossRef Liu Z, Meng Y, Xiang H, Lu Y, Liu S. Association of short-term exposure to meteorological factors and risk of hand, foot, and mouth disease: a systematic review and meta-snalysis. Int J Environ Res Public Health. 2020;17(21):8017.PubMedCentralCrossRef
22.
go back to reference Zhao X, Cai J, Feng D, Bai Y, Xu B. Meteorological influence on the 2009 influenza A (H1N1) pandemic in mainland China. Environ Earth Sci. 2016;75(10):1–9.CrossRef Zhao X, Cai J, Feng D, Bai Y, Xu B. Meteorological influence on the 2009 influenza A (H1N1) pandemic in mainland China. Environ Earth Sci. 2016;75(10):1–9.CrossRef
23.
go back to reference Wu X, Hu S, Kwaku AB, Li Q, Luo K, Zhou Y, Tan H. Spatio-temporal clustering analysis and its determinants of hand, foot and mouth disease in Hunan, China, 2009–2015. BMC Infect Dis. 2017;17(1):1–9.CrossRef Wu X, Hu S, Kwaku AB, Li Q, Luo K, Zhou Y, Tan H. Spatio-temporal clustering analysis and its determinants of hand, foot and mouth disease in Hunan, China, 2009–2015. BMC Infect Dis. 2017;17(1):1–9.CrossRef
26.
go back to reference Lai H, Luo L. Analysis of legal infectious diseases epidemic situation from 2009 to 2015 in Guangdong province. Mod Prev Med. 2017;44(8):1358–61. Lai H, Luo L. Analysis of legal infectious diseases epidemic situation from 2009 to 2015 in Guangdong province. Mod Prev Med. 2017;44(8):1358–61.
27.
go back to reference Song Z, Jia X, Bao J, Yang Y, Zhu H, Shi X. Spatio-temporal analysis of influenza-like illness and prediction of incidence in high-risk regions in the United States from 2011 to 2020. Int J Environ Res Public Health. 2021;18(13):7120.PubMedPubMedCentralCrossRef Song Z, Jia X, Bao J, Yang Y, Zhu H, Shi X. Spatio-temporal analysis of influenza-like illness and prediction of incidence in high-risk regions in the United States from 2011 to 2020. Int J Environ Res Public Health. 2021;18(13):7120.PubMedPubMedCentralCrossRef
28.
go back to reference Qian H, Huo D, Wang X, Jia L, Li X, Li J, Gao Z, Liu B, Tian Y, Wu X. Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009–2014. BMC Infect Dis. 2016;16(1):1–13.CrossRef Qian H, Huo D, Wang X, Jia L, Li X, Li J, Gao Z, Liu B, Tian Y, Wu X. Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009–2014. BMC Infect Dis. 2016;16(1):1–13.CrossRef
29.
go back to reference Kulldorff M, Nagarwalla N. Spatial disease clusters: detection and inference. Stat Med. 1995;14(8):799–810.PubMedCrossRef Kulldorff M, Nagarwalla N. Spatial disease clusters: detection and inference. Stat Med. 1995;14(8):799–810.PubMedCrossRef
30.
go back to reference Kulldorff M. A spatial scan statistic. Commun Stat Theory Methods. 1997;26(6):1481–96.CrossRef Kulldorff M. A spatial scan statistic. Commun Stat Theory Methods. 1997;26(6):1481–96.CrossRef
31.
go back to reference Kulldorff M, Heffernan R, Hartman J, Assunção R, Mostashari F. A space-time permutation scan statistic for disease outbreak detection. PLoS Med. 2005;2(3):e59.PubMedPubMedCentralCrossRef Kulldorff M, Heffernan R, Hartman J, Assunção R, Mostashari F. A space-time permutation scan statistic for disease outbreak detection. PLoS Med. 2005;2(3):e59.PubMedPubMedCentralCrossRef
32.
go back to reference Li M, Shi X, Li X, Ma W, He J, Liu T. Sensitivity of disease cluster detection to spatial scales: an analysis with the spatial scan statistic method. Int J Geogr Inf Sci. 2019;33(11):2125–52.CrossRef Li M, Shi X, Li X, Ma W, He J, Liu T. Sensitivity of disease cluster detection to spatial scales: an analysis with the spatial scan statistic method. Int J Geogr Inf Sci. 2019;33(11):2125–52.CrossRef
33.
go back to reference Wieckowska B, Gorna I, Trojanowski M, Pruciak A, Stawinska-Witoszynska B. Searching for space-time clusters: the CutL method compared to Kulldorff's scan statistic. Geospat Health. 2019;14(2). Wieckowska B, Gorna I, Trojanowski M, Pruciak A, Stawinska-Witoszynska B. Searching for space-time clusters: the CutL method compared to Kulldorff's scan statistic. Geospat Health. 2019;14(2).
34.
go back to reference Zhang Y, Zhang M, Kang D, Sun W, Yang C, Wei R. Spatio-temporal analysis of bacillary dysentery in Sichuan province, China, 2011–2019. BMC Infect Dis. 2021;21(1):1–10.CrossRef Zhang Y, Zhang M, Kang D, Sun W, Yang C, Wei R. Spatio-temporal analysis of bacillary dysentery in Sichuan province, China, 2011–2019. BMC Infect Dis. 2021;21(1):1–10.CrossRef
35.
go back to reference Yu Y, Wu B, Wu C, Wang Q, Hu D, Chen W. Spatial-temporal analysis of tuberculosis in Chongqing, China 2011–2018. BMC Infect Dis. 2020;20(1):1–12.CrossRef Yu Y, Wu B, Wu C, Wang Q, Hu D, Chen W. Spatial-temporal analysis of tuberculosis in Chongqing, China 2011–2018. BMC Infect Dis. 2020;20(1):1–12.CrossRef
38.
go back to reference Fan J, Lin H, Wang C, Bai L, Yang S, Chu C, Yang W, Liu Q. Identifying the high-risk areas and associated meteorological factors of dengue transmission in Guangdong Province, China from 2005 to 2011. Epidemiol Infect. 2014;142(3):634–43.PubMedCrossRef Fan J, Lin H, Wang C, Bai L, Yang S, Chu C, Yang W, Liu Q. Identifying the high-risk areas and associated meteorological factors of dengue transmission in Guangdong Province, China from 2005 to 2011. Epidemiol Infect. 2014;142(3):634–43.PubMedCrossRef
39.
go back to reference Yue Y, Sun J, Liu X, Ren D, Liu Q, Xiao X, Lu L. Spatial analysis of dengue fever and exploration of its environmental and socio-economic risk factors using ordinary least squares: a case study in five districts of Guangzhou City, China, 2014. Int J Infect Dis. 2018;75:39–48.PubMedCrossRef Yue Y, Sun J, Liu X, Ren D, Liu Q, Xiao X, Lu L. Spatial analysis of dengue fever and exploration of its environmental and socio-economic risk factors using ordinary least squares: a case study in five districts of Guangzhou City, China, 2014. Int J Infect Dis. 2018;75:39–48.PubMedCrossRef
40.
go back to reference Ye W, Zhang C, Chen C, Yang L, Wu S, Chen W, Ou J, Hong R. Analysis on the epidemiological characteristics and meteorological influencing factors of hand-foot-mouth disease, Fujian province 2008–2015. Prev Med Tribune. 2018;24(1):4–9. Ye W, Zhang C, Chen C, Yang L, Wu S, Chen W, Ou J, Hong R. Analysis on the epidemiological characteristics and meteorological influencing factors of hand-foot-mouth disease, Fujian province 2008–2015. Prev Med Tribune. 2018;24(1):4–9.
41.
go back to reference Nimbalkar PM, Tripathi NK. Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand. Geospat Health. 2016;11(3):274–82.CrossRef Nimbalkar PM, Tripathi NK. Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand. Geospat Health. 2016;11(3):274–82.CrossRef
42.
go back to reference Zhang R, Meng Y, Song H, Niu R, Wang Y, Li Y, Wang S. The modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo, China. Respir Res. 2021;22(1):1–9.CrossRef Zhang R, Meng Y, Song H, Niu R, Wang Y, Li Y, Wang S. The modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo, China. Respir Res. 2021;22(1):1–9.CrossRef
43.
go back to reference Zhang Y, Wang T, Liu K, Xia Y, Lu Y, Jing Q, Yang Z, Hu W, Lu J. Developing a time series predictive model for dengue in Zhongshan, China based on weather and Guangzhou dengue surveillance data. PLoS Negl Trop Dis. 2016;10(2):e0004473.PubMedPubMedCentralCrossRef Zhang Y, Wang T, Liu K, Xia Y, Lu Y, Jing Q, Yang Z, Hu W, Lu J. Developing a time series predictive model for dengue in Zhongshan, China based on weather and Guangzhou dengue surveillance data. PLoS Negl Trop Dis. 2016;10(2):e0004473.PubMedPubMedCentralCrossRef
44.
go back to reference Wu Y, Cheng X. Spatio-temporal clustering analysis of dengue fever in Baiyun District of Guangzhou, 2013–2017. China Trop Med. 2019;19(3):241–5. Wu Y, Cheng X. Spatio-temporal clustering analysis of dengue fever in Baiyun District of Guangzhou, 2013–2017. China Trop Med. 2019;19(3):241–5.
45.
go back to reference Han T, Guo Y, Xu W, Wang Y. Spatial clustering of hand, foot and mouth disease in mainland China from 2008 to 2017. Chin J Virol. 2018;34(5):534–42. Han T, Guo Y, Xu W, Wang Y. Spatial clustering of hand, foot and mouth disease in mainland China from 2008 to 2017. Chin J Virol. 2018;34(5):534–42.
46.
go back to reference Hu Y, Xiao G, Guo Y, Yu S, Ma J. The epidemic features of the hand, foot, and mouth disease during 2008–2011 in China. Chin J Dis Control Prev. 2014;18(8):693–7. Hu Y, Xiao G, Guo Y, Yu S, Ma J. The epidemic features of the hand, foot, and mouth disease during 2008–2011 in China. Chin J Dis Control Prev. 2014;18(8):693–7.
47.
go back to reference Wen TH, Tsai CT. Evaluating the role of disease importation in the spatiotemporal transmission of indigenous dengue outbreak. Appl Geogr. 2016;76:137–46.CrossRef Wen TH, Tsai CT. Evaluating the role of disease importation in the spatiotemporal transmission of indigenous dengue outbreak. Appl Geogr. 2016;76:137–46.CrossRef
Metadata
Title
Spatiotemporally comparative analysis of three common infectious diseases in China during 2013–2015
Authors
Yang Shao
Meifang Li
Jin Luo
Le Yu
Xia Li
Publication date
01-12-2022
Publisher
BioMed Central
Keyword
Influenza
Published in
BMC Infectious Diseases / Issue 1/2022
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-022-07779-4

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