scholarly journals Comparative analyses on epidemiological characteristics of dengue fever in Guangdong and Yunnan, China, 2004-2018

2020 ◽  
Author(s):  
Yujuan Yue ◽  
Qiyong Liu ◽  
Xiaobo Liu ◽  
Haixia Wu

Abstract Background Guangdong and Yunnan were the two provinces with the toughest dengue epidemic in China. It was to compare epidemiological characteristics of dengue fever there, 2004-2018. Methods Epidemiological method and spatial-temporal analysis were used to explore time-series, spatial and demographic features of dengue fever.Results 93.7% of indigenous cases and 65.9 % of imported cases in mainland China, 2004-2018 occurred in Guangdong and Yunnan. 55,970 and 5,938 indigenous cases occurred in 108 counties of Guangdong and 8 counties of Yunnan, respectively. 1,146 and 3,050 imported cases occurred in 84 counties of Guangdong and 72 counties of Yunnan, respectively. Guangdong and Yunnan had similar seasonal characteristics for dengue fever, and Guangdong had a longer peak period. 85.1% of indigenous cases in Yunnan were located in Ruili City and Jinghong City along the southwestern border. Most dengue cases in Guangdong occurred in the Pearl River Delta region, and especially more than 70.0% of dengue cases in Guangdong occurred in Guangzhou City. 93.9% of imported cases in Guangdong and Yunnan were imported from 9 countries of Southeast Asia. Thailand, Cambodia and Malaysia were the main imported origins in Guangdong. Myanmar and Laos were the main imported origins in Yunnan. There was a strong male predominance among imported cases and an almost equal gender distribution among indigenous cases. Most dengue cases were from individuals in 21-50 years old, accounting for 57.3% and 62.8% of indigenous cases and 83.2% and 62.6% of imported cases in Guangdong and Yunnan, respectively. There were similar major occupations as housework or unemployment, retiree and businessman for indigenous cases, and businessman for imported cases. However, farmers accounted for a larger proportion of dengue cases in Yunnan.Conclusions The findings of epidemiological characteristics and differences of dengue fever in Guangdong and Yunnan are helpful to formulate targeted, strategic plans and implement effective public health prevention measures in China.

2019 ◽  
Author(s):  
Yujuan Yue ◽  
Qiyong Liu ◽  
Xiaobo Liu ◽  
Haixia Wu

Abstract Dengue fever occurred most severely in Guangdong and Yunnan, accounting for 93.7% of indigenous cases and 65.9 % of imported cases in mainland China. Epidemiological and spatial-temporal analysis methods were used to compare epidemiological characteristics of dengue cases in Guangdong and Yunnan, China, 2004-2018, including time-series, spatial and crowd features. Much more indigenous cases were widely distributed in Guangdong, while imported cases were more common in Yunnan. 55,970 and 5,938 indigenous cases occurred in 108 counties, Guangdong and 25 counties, Yunnan. 1,146 and 3,050 imported cases occurred in 84 counties, Guangdong and 72 counties, Yunnan. There existed similar seasonal characteristics from July to November for indigenous cases, but there was a longer peak period for imported cases in Guangdong (May to December) than that in Yunnan (July to December). There existed clustering characteristics for dengue fever. 85.1% of indigenous cases in Yunnan were located in Ruili City and Jinghong City along the southwestern border. Most dengue cases in Guangdong occurred in the Pearl River Delta region, especially with more than 70.0% in Guangzhou City. 93.9% of imported cases in Guangdong and Yunna were from 9 countries of Southeast Asia. Thailand, Cambodia and Malaysia were the main imported origins in Guangdong. Myanmar and Laos were the main imported origins in Yunnan. There was a strong male predominance among imported cases and an almost equal gender distribution for indigenous cases. Most dengue cases were from individuals in 21-50 years old, with 57.3% and 62.8% for indigenous cases and 83.2% and 62.6% for imported cases in Guangdong and Yunnan, respectively. There existed differences in main occupation compositions of dengue cases. However, there were similar major occupations as housework or unemployment, retiree and businessman for indigenous cases, and similar major occupation as businessman for imported cases. Farmers accounted for a larger proportion of dengue cases in Yunnan. The findings of epidemiological characteristics and differences of dengue fever in Guangdong and Yunnan are helpful to formulate targeted, strategic plans and implement effective public health prevention and control measures in China.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yujuan Yue ◽  
Qiyong Liu ◽  
Xiaobo Liu ◽  
Haixia Wu ◽  
Mingfang Xu

Abstract Background In China, Guangdong and Yunnan are the two most dengue-affected provinces. This study aimed to compare the epidemiological characteristics of dengue fever in Guangdong and Yunnan during 2004–2018. Methods Descriptive analyses were used to explore the temporal, spatial, and demographic distribution of dengue fever. Results Of the 73,761 dengue cases reported in mainland China during 2004–2018, 93.7% indigenous and 65.9% imported cases occurred in Guangdong and Yunnan, respectively. A total of 55,970 and 5938 indigenous cases occurred in 108 Guangdong and 8 Yunnan counties, respectively during 2004–2018. Whereas 1146 and 3050 imported cases occurred in 84 Guangdong and 72 Yunnan counties, respectively during 2004–2018. Guangdong had a much higher average yearly indigenous incidence rate (3.65 (1/100000) vs 0.86 (1/100000)), but a much lower average yearly imported incidence rate (0.07 (1/100000) vs 0.44(1/100000)) compared with Yunnan in 2004–2018. Furthermore, dengue fever occurred more widely in space and more frequently in time in Guangdong. Guangdong and Yunnan had similar seasonal characteristics for dengue fever, but Guangdong had a longer peak period. Most dengue cases were clustered in the south-western border of Yunnan and the Pearl River Delta region in Guangdong. Most of the imported cases (93.9%) in Guangdong and Yunnan were from 9 Southeast Asian countries. Thailand, Cambodia, and Malaysia imported mainly into Guangdong while Myanmar and Laos imported into Yunnan. There was a strong male predominance among imported cases and an almost equal gender distribution among indigenous cases. Most dengue cases occurred in individuals aged 21–50 years, accounting for 57.3% (Guangdong) vs. 62.8% (Yunnan) of indigenous and 83.2% (Guangdong) vs. 62.6% (Yunnan) of imported cases. The associated major occupations (house worker or unemployed, retiree, and businessman, for indigenous cases; and businessman, for imported cases), were similar. However, farmers accounted for a larger proportion of dengue cases in Yunnan. Conclusions Identifying the different epidemiological characteristics of dengue fever in Guangdong and Yunnan can be helpful to formulate targeted, strategic plans, and implement effective public health prevention measures in China.


2021 ◽  
Author(s):  
Xinchang Lun ◽  
Yiguan Wang ◽  
Chunchun Zhao ◽  
Haixia Wu ◽  
Caiying Zhu ◽  
...  

Abstract (1) Background: Overseas imported dengue fever is an important factor in the local epidemic of dengue fever in mainland China. Therefore, in order to effectively prevent and control the local epidemic of dengue fever in mainland China, the epidemiological characteristics and temporal-spatial distribution of overseas imported dengue fever cases in provinces where dengue fever is endemic in mainland China are explored. (2) Methods: Through the infectious disease report information management system of the Chinese Disease Prevention and Control Information System, we sorted out overseas imported dengue fever cases in local outbreaks of dengue fever in mainland China from 2005 to 2019. Using Excel 2016 to sort out the data and draw the epidemic curve and population characteristic distribution of overseas imported cases in each province. Using ArcGIS 10.7 and SaTScan 9.5, we analyzed the temporal-spatial distribution of dengue fever in provinces where dengue fever is outbreak in mainland China. (3) Results: A total of 11407 imported cases, mainly from Southeast Asia, were recorded from 2005 to 2019 in 13 provinces, of which 62.08% were imported into Yunnan and Guangdong provinces. Among the imported cases, there were more males than females, mainly from 21-50 age group. 59.18% of the cases were farmers, businessmen, housework or unemployed. The hot spots were concentrated in parts of Yunnan and Guangdong provinces. Meanwhile,we found the clustered areas were expanding northward. (4) Conclusions: Focus on the publicity and education of dengue fever prevention knowledge among men, 21-50 years old, farmers, business services, housework or unemployed professionals. Further improve the awareness of the prevention and control of imported cases in border areas and economically developed cities. At the same time, the northern region cannot relax its vigilance.


Author(s):  
Yujuan Yue ◽  
Qiyong Liu

Epidemiological characteristics of domestic imported dengue fever in mainland China, 2014–2018, including time-series, spatial mobility and crowd features, were analyzed. There existed seasonal characteristics from August to November. The 872 domestic imported cases from 8 provinces, located in the southeastern, southwestern and southern coastal or border areas, were imported to 267 counties in 20 provinces of mainland China, located in the outer areas along the southwest-northeast line. The 628 domestic imported cases were still imported to the adjacent counties in the provinces themselves, 234 domestic imported cases were imported to 12 other provinces except the 8 original exported provinces, 493 cases in 2014 reached the peak, and 816 domestic imported cases were from Guangdong (675) and Yunnan (141). Domestic imported cases from Guangdong were imported to 218 counties, and 475 cases from Guangdong were imported to the adjacent counties in Guangdong itself. There were more male cases than female cases except in 2016. Domestic imported cases were clustered from 21 to 50 years old. The top three cases were from farmer, worker and housework or unemployed. The findings are helpful to formulate targeted, strategic plans and implement effective public health prevention and control measures.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Zhoubin Zhang ◽  
Qinlong Jing ◽  
Zongqiu Chen ◽  
Tiegang Li ◽  
Liyun Jiang ◽  
...  

Abstract Background Dengue is the most prevalent mosquito-borne disease in the world, with China affected seriously in recent years. 65.8% of dengue cases identified in mainland China since 2005 were reported from the city of Guangzhou. Methods In this study, we described the incidence rate and distribution of dengue cases using data collected form National Notifiable Infectious Disease Reporting Information System data in Guangzhou for 2001 to 2016. All dengue cases were investigated using standardized questionnaire. Results A total of 42,469 dengue cases were reported, with an average annual incidence rate of 20.99 per 100,000 resident population. Over this time period, the incidence rate of indigenous cases increased. Dengue affected areas also expanded sharply geographically from 58.1% of communities affected during 2001–2005 to 96.4% of communities affected in 2011–2016. Overall 95.30% of the overseas imported cases were reported during March and December, while 99.79% of indigenous cases were reported during July and November. All four dengue virus serotypes were identified both in imported cases and indigenous cases. The Aedes albopictus mosquito was the only vector for dengue transmission in the area. Conclusions Guangzhou has become the dengue epicenter in mainland China. Control strategies for dengue should be adjusted to the epidemiological characteristics above and intensive study need to be conducted to explore the factors that driving the rapid increase of dengue.


2020 ◽  
Author(s):  
Yi Chen ◽  
JiaShu Liu ◽  
ChangRui Yang ◽  
Zi-sheng Ai ◽  
AiHong Zhang

Abstract Background: To investigate the epidemiological features of coronavirus disease 2019(COVID-19) and the prevention measures in Jiangsu Province. Methods: Information of all novel coronavirus pneumonia confirmed cases in Jiangsu was collected from the official website of Jiangsu Commission of Health. All data were entered into Excel and Python3 for statistical analysis. Epidemiological characteristics of novel coronavirus pneumonia confirmed cases from January 10, 2020 to March 18 in Jiangsu province were retrospectively analyzed. Meanwhile, the preventive measures of Jiangsu Commission of Health and the people’s Government of Jiangsu Province were also analyzed. Results: 631 COVID-19 cases were diagnosed in Jiangsu Province, covering 13 cities in Jiangsu. Before February 1, the confirmed cases were mainly imported cases, and after February 1, community transmission cases became main part of confirmed cases. There were more male patients than females, and most patients were in the group of 30-70 years old, 49 patients (7.8%) with mild symptom and 572 patients (90.6%) with common type accounted for the majority. The cumulative mortality rate was 0% and the cure rate was 100%. Reasonable treatments, timely and effective preventive measures were taken to effectively improve cure rate and to prevent the spread of the epidemic, all measures ensure the health and life safety of the people. Conclusion: The preventive measures in Jiangsu Province were timely and effective, the epidemic situation in Jiangsu Province had been well controlled.


2020 ◽  
Author(s):  
Yi Chen ◽  
Jiashu Liu ◽  
Changrui Yang ◽  
Aihong Zhang ◽  
Zisheng Ai

Abstract Background To discuss the epidemiological features of coronavirus disease 2019(COVID-19) and prevention measures in Jiangsu Province. Methods Information on all novel coronavirus pneumonia confirmed cases in Jiangsu was collected from the official website of Jiangsu Commission of Health. All data are entered into Excel and Python3 for statistical analysis. Epidemiological characteristics of novel coronavirus pneumonia confirmed cases from January 10, 2020 to March 18th in Jiangsu province were retrospectively analyzed. Meanwhile, the preventive measures of Jiangsu Commission of Health and the people's Government of Jiangsu Province were also analyzed. Results 631 COVID-19 cases were diagnosed in Jiangsu Province, covering 13 districts in Jiangsu. Before February 1, the confirmed cases were mainly imported cases, and after February 1, community transmission cases became main part of confirmed cases. There were more male patients than females, and most patients were in the group of 30-70 years old, 49 patients (7.8%) with mild symptom and 572 patients (90.6%) with common type accounted for the majority. The cumulative mortality rate was 0% and the cure rate was 100%. Reasonable treatment, timely and effective preventive measures were taken to effectively improve cure rate and to prevent the spread of the epidemic, all measures ensure the health and life safety of the people. Conclusion The preventive measures in Jiangsu Province were timely and effective, the epidemic situation in Jiangsu Province had been well controlled and cured.


2019 ◽  
Author(s):  
Xuzheng Shan ◽  
Yongqin Wang ◽  
Ruihong Song ◽  
Wen Wei ◽  
Hongxiu Liao ◽  
...  

Abstract Background: Avian influenza A (H7N9) virus was first reported in mainland China in 2013, and alarming in 2016-17 due to the surge in reported cases across a wide geographic area. Our study aimed to identify and explore the spatial and temporal variation across five epidemics to reinforce the epidemic prevention and control. Methods: We drew spatial and temporal information about all laboratory-confirmed human cases of A (H7N9) virus infection reported in mainland China covering 2013-17 from the open source. The autocorrelation analysis and intensity of cases were used to analyse the spatial cluster while circular distribution method was used to analyse the temporal cluster. Results: Across the five epidemics, a total of 1553 laboratory-confirmed human infection with A (H7N9) virus were reported in mainland China. The global Moran’s I index values of five epidemic were 0.610, 0.132, 0.308, 0.306, 0.336 respectively, all of which were statistically significant. Yangtze River Delta region and the Pearl River Delta region had the highest intensity, and range enlarged from the east of China to inner provinces and even the west of China across the five epidemics. The temporal clusters of the five epidemics were statistically significant, and the peak period was from the end of January to April. The peak periods of the first and fifth epidemic were later than the mean peak period. Conclusions: Spatial and temporal clusters of avian influenza A (H7N9) virus in humans indeed exist, moreover the regions existing clusters may enlarge across five epidemics. Yangtze River Delta region and the Pearl River Delta region have the spatial cluster and the peak period is from January to April. The government should facilitate the tangible improvement for the epidemic preparedness.


2013 ◽  
Vol 2013 (1) ◽  
pp. 4117
Author(s):  
Dan Zhao ◽  
Zhongjie Li ◽  
Yonghui Zhang ◽  
Wenwu Yin ◽  
Tie Song ◽  
...  

Author(s):  
Yujuan Yue ◽  
Xiaobo Liu ◽  
Dongsheng Ren ◽  
Haixia Wu ◽  
Qiyong Liu

New spatial characteristics of dengue fever in mainland China during 2019 were analyzed. There was a dengue fever outbreak in mainland China in 2019, with 15,187 indigenous cases in 13 provinces, 1281 domestic imported cases from 12 provinces and 5778 overseas imported cases from 47 countries, more than the previous cases during the period 2005–2018, except for in 2014. Indigenous cases occurred in Sichuan, Hubei and Chongqing in 2019. There have been big changes in the spatial distribution and proportion of dengue cases. Indigenous cases were not only located in the southwestern border and southeastern coastal provinces of Yunnan, Guangdong, Guangxi and Fujian but also in the central provinces of Jiangxi and Chongqing. Domestic imported cases were not only from Guangdong, but also from Yunnan. There were five new sources of importation of cases. Overseas imported cases were mainly from Cambodia and Myanmar in 2019. Understanding the new spatial characteristics of dengue fever in China helps to formulate targeted, strategic plans and implement effective public health prevention and control measures.


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