A descriptive analysis of the Spatio-temporal distribution of intestinal infectious diseases in China

Mao, Ying; Zhang, Ning; Zhu, Bin; Liu, Jinlin; He, Rongxin

doi:10.1186/s12879-019-4400-x

Cited by 47 publications

(39 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…All these component series have a certain characteristic or type of behavior [19][20][21]. Zt represents the monthly incidence of the diseases.…”

Section: Seasonality Analysismentioning

confidence: 99%

Notifiable Respiratory Infectious Diseases in China: A Spatial–Temporal Epidemiology Analysis

Mao

Zhu

et al. 2020

IJERPH

Self Cite

View full text Add to dashboard Cite

Nowadays, tuberculosis, scarlet fever, measles, influenza, and mumps are five major notifiable respiratory infectious diseases (RIDs) in China. The objective of this study was to describe, visualize, and compare the spatial-temporal distributions of these five RIDs from 2006 to 2016. In addition to descriptive epidemiology analysis, seasonality and spatial autocorrelation analysis were also applied to explore the epidemiologic trends and spatial changing patterns of the five RIDs, respectively. The results indicated that the incidence of tuberculosis, measles, and mumps presented a downtrend trend, while those of scarlet fever and influenza was in a strong uptrend across the research period. The incidences of the five diseases all peaked in spring. There were significant spatial disparities in the distribution of tuberculosis, scarlet fever, and measles cases, with the hotspots mainly located in the western plateau region, northern plain region, and southern mountainous region. To conclude, notable epidemiological differences were observed across regions, indicating that some provincial units should pay more attention to prevent and control respiratory infectious diseases.

show abstract

“…All these component series have a certain characteristic or type of behavior [19][20][21]. Zt represents the monthly incidence of the diseases.…”

Section: Seasonality Analysismentioning

confidence: 99%

Notifiable Respiratory Infectious Diseases in China: A Spatial–Temporal Epidemiology Analysis

Mao

Zhu

et al. 2020

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…This action requires that the infectious disease report cards of all patients with varicella must be filled out by their doctors after diagnosis, and reported to the internet or sent to health institutions responsible for reporting within 24 h [17,18]. Spatiotemporal epidemiological approaches based on geographic information systems (GIS) are widely used to understand the geographical distribution and space-time characteristics of various infectious diseases [19][20][21]. However, previous studies on the spatial heterogeneity and spatial-temporal features of varicella have been limited to a few areas, including Valencia City in Spain [22], the Republic of Korea [23], and Guangxi Province in China [24].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014–2018

Zhu

Zhao²,

et al. 2020

IJERPH

View full text Add to dashboard Cite

Although immunization against varicella using vaccines has been proven to be significant and effective in the past decades, varicella remains a major public health concern for many developing countries. Varicella vaccination has not been introduced into routine immunization programs in China, and varicella outbreaks have continued to occur. Taking the city of Chongqing, which has a high prevalence of varicella, as an example, this study explored the spatiotemporal epidemiology of varicella. Based on the reported data of varicella cases from 1 January 2014 to 31 December 2018 in Chongqing, hot spots and space-time clusters of varicella were identified using spatial autocorrelation analysis and scan statistics. Within this period, a total of 112,273 varicella cases were reported in Chongqing (average annual incidence: 73.44 per 100,000), including one death. The incidence of varicella showed an increasing trend with significant seasonal peaks, which occurred during April to July and October to January of the following year. The total ratio of male to female patients affected was 1.10:1. Children under the age of 15 and students accounted for the majority of the patient population. The hotspots detected through local spatial autocorrelation analysis, and the most likely clusters identified by scan analysis, were primarily in the main urban districts of Chongqing. The secondary clusters were mostly detected in northeast and southwest Chongqing. There were obvious spatial dependence and spatiotemporal clustering characteristics of varicella in Chongqing from 2014 to 2018. High-risk districts, populations, and peak periods were found in this study, which could be helpful in implementing varicella prevention and control programs, and in adjusting vaccination strategies for the varicella vaccine based on actual conditions.

show abstract

“…HFMD displayed a distinct increasing trend. The high-risk areas for HFMD were located in the Beijing-Tianjin-Tangshan (BTT) region and south China [ 18 ]. Hassel used large-panel datasets and a Bayesian phylogenetic approach to compare the molecular epidemiology and geographical spread patterns in Europe [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal characteristics and meteorological determinants of hand, foot and mouth disease in Shaanxi Province, China: a county-level analysis

et al. 2021

Self Cite

View full text Add to dashboard Cite

Background Hand, foot and mouth disease (HFMD) is one of the common intestinal infectious diseases worldwide and has caused huge economic and disease burdens in many countries. The average annual incidence rate of HFMD was 11.66% in Shaanxi during the time span from 2009 to 2018. There are distinct differences within Shaanxi, as it is a special region that crosses three temperature zones. Hence, in this study, a spatiotemporal analysis of Shaanxi was performed to reveal the characteristics of the distribution of HFMD and to explore the meteorological determinants of HFMD. Methods The county-level and municipal data from Shaanxi Province from 2009 to 2018 were applied to research the spatiotemporal characteristics of HFMD and its meteorological determinants. Time series and spatial autocorrelation analyses were applied to assess the spatiotemporal characteristics of HFMD. This study used spatial econometric panel models to explore the relationship between HFMD and meteorological factors based on the data of 107 counties and 10 municipalities. Results The incidence rate of HFMD displayed no variable trend throughout the whole research period. A high incidence rate of HFMD was observed from June to September, corresponding to a time when the climate is characterized by heavy rain, high temperature, and high humidity. The high-incidence areas were mainly located in the central region in Shaanxi, whereas the low-incidence spots were mainly found in Northern Shaanxi. Regarding the meteorological factors analysed in this study, in general, the incidence rate of HFMD in specific regions was positively associated with the rainfall, temperature and humidity. Conclusion These results could be applied by the government and the general public to take effective measures to prevent disease. Region-targeted policies could be enacted and implemented in the future according to specific situations in different areas and the relevant meteorological determinants. Additionally, meteorological conditions normally extend to a wide-ranging region; thus, cooperation among surrounding regions is necessary.

show abstract

A descriptive analysis of the Spatio-temporal distribution of intestinal infectious diseases in China

Cited by 47 publications

References 30 publications

Notifiable Respiratory Infectious Diseases in China: A Spatial–Temporal Epidemiology Analysis

Notifiable Respiratory Infectious Diseases in China: A Spatial–Temporal Epidemiology Analysis

Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014–2018

Spatiotemporal characteristics and meteorological determinants of hand, foot and mouth disease in Shaanxi Province, China: a county-level analysis

Contact Info

Product

Resources

About