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Objective To analysize the temporal trends in the disease burden of major human parasitic diseases in China from 1990 to 2019, so as to provide the evidence for improving the parasitic disease control strategy in China.. Methods The disability-adjusted life years (DALYs) of malaria, intestinal nematode infections, schistosomiasis, food-borne trematodiases, cysticercosis and echinococcosis in China from 1990 to 2019 were captured from the Global Burden of Disease Study 2019 (GBD 2019), and age- and gender-specific DALYs of parasitic diseases were estimated. The temporal trends in DALYs of malaria, intestinal nematode infections, schistosomiasis, food-borne trematodiases, cysticercosis and echinococcosis were evaluated in China from 1990 to 2019 using average annual percent change (AAPC) with Joinpoint regression analysis. Results The DALYs were 643 836.42 person-years due to food-borne trematodiases, 156 853.03 person-years due to cysticercosis, 79 764.62 person-years due to schistosomiasis, 70 989.73 person-years due to intestinal nematode infections, 4 258.61 person-years due to echinococcosis and 264.86 person-years due to malaria in China in 2019, respectively. The overall DALYs of six parasitic diseases were higher among men (546 441.93 person-years) than among women (409 525.33 person-years), and were greater among adults at ages of 14 to 65 years (684 780.84 person-years) than among children at 14 years and lower (35 437.38 person-years) and the elderly at ages of 65 years and older (235 749.04 person-years). During the period from 1990 to 2019, food-borne trematodiases were the leading cause of DALYs among the six parasitic diseases, and cysticercosis shifted from the fourth leading cause in 1990 to the second leading cause of DALYs in China in 2019, while intestinal nematode infections shifted from the second leading cause in 1990 to the fourth leading cause of DALYs in 2019. The DALYs of major human parasitic diseases appeared an overall tendency towards a decline in China from 1990 to 2019, with the fastest drop seen in DALYs due to malaria (AAPC = −19.6%, P = 0.003), followed by due to intestinal nematode infections (AAPC = −8.2%, P < 0.001) and schistosomiasis (AAPC = −3.1%, P < 0.001), and a slow decline was seen in the DALYs of food-borne trematodiases (AAPC = −1.0%, P < 0.001), while there were no significant decrease in the DALYs of echinococcosis (AAPC = −0.5%, P = 0.264) and the DALYs of cysticercosis appeared a tendency towards a rise (AAPC = 0.7%, P < 0.001). Conclusions The disease burden of major human parasitic diseases appeared an overall tendency towards a decline in China from 1990 to 2019, with a high disease burden seen due to food-borne parasitic diseases, no remarkable reduction seen in echinococcosis, and a tendency towards a rise seen in cysticercosis. It is recommended to focus on echinococcosis control, and continue to consolidate the control achievements of other major human parasitic diseases in China; meanwhile, the surveillance and prevention of food-borne parasitic diseases should be reinforced.
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This report presented the endemic status of schistosomiasis and analyzed the data collected from the national schistosomiasis prevention and control system and national schistosomiasis surveillance program in the People’s Republic of China in 2022. Among the 12 provinces (municipality and autonomous region) endemic for schistosomiasis, Shanghai Municipality, Zhejiang Province, Fujian Province, Guangdong Province and Guangxi Zhuang Autonomous Region continued to maintain the achievements of schistosomiasis elimination, and Sichuan and Jiangsu provinces maintained the criteria of transmission interruption, while Yunnan, Hubei, Anhui, Jiangxi and Hunan provinces maintained the criteria of transmission control by the end of 2022. A total of 452 counties (cites, districts) were found to be endemic for schistosomiasis in China in 2022, with 27 434 endemic villages covering 73 424 400 people at risk of infections. Among the 452 endemic counties (cities, districts), 75.89% (343/452), 23.45% (106/452) and 0.66% (3/452) achieved the criteria of elimination, transmission interruption and transmission control of schistosomiasis, respectively. In 2022, 4 317 356 individuals received serological tests for schistosomiasis, and 62 228 were sero-positive. A total of 208 646 individuals received stool examinations for schistosomiasis, with one positive and another two cases positive for urine microscopy, and these three 3 cases were imported schistosomiasis patients from Africa. There were 28 565 cases with advanced schistosomiasis documented in China by the end of 2022. Oncomelania hupensis snail survey was performed in 18 891 endemic villages in China in 2022 and O. hupensis snails were found in 6 917 villages (36.62% of all surveyed villages), with 8 villages identified with emerging snail habitats. Snail survey was performed at an area of 655 703.01 hm2 and 183 888.60 hm2 snail habitats were found, including 110.58 hm2 emerging snail habitats and 844.35 hm2 re-emerging snail habitats. There were 477 200 bovines raised in the schistosomiasis endemic areas of China in 2022, and 113 946 bovines received serological examinations for schistosomiasis, with 204 sero-positives detected. Among the 131 715 bovines received stool examinations, no positives were identified. In 2022, there were 19 726 schistosomiasis patients receiving praziquantel chemotherapy, and expanded chemotherapy was performed in 714 465 person-time for humans and 234 737 herd-time for bovines in China. In 2022, snail control with chemical treatment was performed at an area of 119 134.07 hm2, and the actual area of chemical treatment was 65 825.27 hm2, while environmental improvements were performed at an area of 1 163.96 hm2. Data from the national schistosomiasis surveillance program of China showed that the mean prevalence of Schistosoma japonicum infections was both zero in humans and bovines in 2022, and no S. japonicum infection was detected in O. hupensis snails. These data demonstrated that the endemic status of schistosomiasis continued to decline in China in 2022, with 3 confirmed schistosomiasis patients that had a foreign nationality and all imported from Africa, and the areas of snail habitats remained high. Further improvements in the construction of the schistosomaisis surveillance and forecast system, and reinforcement of O. hupensis survey and control are required to prevent the re-emerging schistosomiasis.
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Objective To develop an intelligent recognition model based on deep learning algorithms of unmanned aerial vehicle (UAV) images, and to preliminarily explore the value of this model for remote identification, monitoring and management of cattle, a source of Schistosoma japonicum infection. Methods Oncomelania hupensis snail-infested marshlands around the Poyang Lake area were selected as the study area. Image datasets of the study area were captured by aerial photography with UAV and subjected to augmentation. Cattle in the sample database were annotated with the annotation software VGG Image Annotator to create the morphological recognition labels for cattle. A model was created for intelligent recognition of livestock based on deep learning-based Mask R-convolutional neural network (CNN) algorithms. The performance of the model for cattle recognition was evaluated with accuracy, precision, recall, F1 score and mean precision. Results A total of 200 original UAV images were obtained, and 410 images were yielded following data augmentation. A total of 2 860 training samples of cattle recognition were labeled. The created deep learning-based Mask R-CNN model converged following 200 iterations, with an accuracy of 88.01%, precision of 92.33%, recall of 94.06%, F1 score of 93.19%, and mean precision of 92.27%, and the model was effective to detect and segment the morphological features of cattle. Conclusion The deep learning-based Mask R-CNN model is highly accurate for recognition of cattle based on UAV images, which is feasible for remote intelligent recognition, monitoring, and management of the source of S. japonicum infection.
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Objective To establish a snail control approach for spraying chemicals with drones against Oncomelania hupensis in complex snail habitats in hilly regions, and to evaluate its molluscicidal effect. Methods The protocol for evaluating the activity of spraying chemical molluscicides with drones against O. hupensis snails was formulated based on expert consultation and literature review. In August 2022, a pretest was conducted in a hillside field environment (12 000 m2) north of Dafengji Village, Dacang Township, Weishan County, Yunnan Province, which was assigned into four groups, of no less than 3 000 m2 in each group. In Group A, environmental cleaning was not conducted and 5% niclosamide ethanolamine salt granules were sprayed with drones at a dose of 40 g/m2, and in Group B, environmental cleaning was performed, followed by 5% niclosamide ethanolamine salt granules sprayed with drones at a dose of 40 g/m2, while in Group C, environmental cleaning was not conducted and 5% niclosamide ethanolamine salt granules were sprayed with knapsack sprayers at a dose of 40 g/m2, and in Group D, environmental cleaning was performed, followed by 5% niclosamide ethanolamine salt granules sprayed with knapsack sprayers at a dose of 40 g/m2. Then, each group was equally divided into six sections according to land area, with Section 1 for baseline surveys and sections 2 to 6 for snail surveys after chemical treatment. Snail surveys were conducted prior to chemical treatment and 1, 3, 5, 7 days post-treatment, and the mortality and corrected mortality of snails, density of living snails and costs of molluscicidal treatment were calculated in each group. Results The mortality and corrected mortality of snails were 69.49%, 69.09%, 53.57% and 83.48%, and 68.58%, 68.17%, 52.19% and 82.99% in groups A, B, C and D 14 days post-treatment, and the density of living snails reduced by 58.40%, 63.94%, 68.91% and 83.25% 14 days post-treatment relative to pre-treatment in four groups, respectively. The median concentrations of chemical molluscicides were 37.08, 35.42, 42.50 g/m2 and 56.25 g/m2 in groups A, B, C and D, and the gross costs of chemical treatment were 0.93, 1.50, 0.46 Yuan per m2 and 1.03 Yuan per m2 in groups A, B, C and D, respectively. Conclusions The molluscicidal effect of spraying 5% niclosamide ethanolamine salt granules with drones against O. hupensis snails is superior to manual chemical treatment without environmental cleaning, and chemical treatment with drones and manual chemical treatment show comparable molluscicidal effects following environmental cleaning in hilly regions. The cost of chemical treatment with drones is slightly higher than manual chemical treatment regardless of environmental cleaning. Spraying 5% niclosamide ethanolamine salt granules with drones is recommended in complex settings with difficulty in environmental cleaning to improve the molluscicidal activity and efficiency against O. hupensis snails.
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Objective To analyze the distribution characteristics of emerging and reemerging Oncomelania hupensis snails after the criteria for transmission control of schistosomiasis were achieved in China, so as to provide insights into assessment of schistosomiasis transmission risk and formulation of snail control strategies during the elimination phase. Methods O. hupensis survey data in China from 2015 to 2021 were collected from the National Schistosomiasis Pevention and Control Information Management System, and the distribution characteristics of emerging and reemerging O. hupensis snails were descriptively analyzed. Results Emerging and reemerging O. hupensis snails were identified in China each year from 2015 to 2021, with relatively larger areas with emerging and reemerging O. hupensis snail habitats in 2016 and 2021, and relatively higher numbers of counties (districts) where emerging and reemerging O. hupensis snails were detected in 2016 and 2021. A total of 4 586.30 hm2 of emerging O. hupensis snail habitats were found in 10 schistosomiasis-endemic provinces of China (except Fujian and Yunnan Provinces) from 2015 to 2021, with 96.80% in Anhui, Hunan and Hubei provinces, where marshland and lake endemic foci were predominant. A total of 21 023.90 hm2 of reemerging O. hupensis snail habitats were found in 12 schistosomiasis-endemic provinces of China from 2015 to 2021, with 97.67% in six provinces of Hubei, Sichuan, Jiangxi, Jiangsu, Yunnan and Anhui, where marshland and lake and hilly endemic regions were predominant. Emerging snail habitats were found in 15.08% of all schistosomiasisendemic counties (districts) in China from 2015 to 2021, and 78.75% of all emerging snail habitats were identified in 11 schistosomiasis-endemic counties (districts), with the largest area of emerging snail habitats found in Lixian County, Hunan Province (645.00 hm2). Reemerging snail habitats were found in 47.67% of all schistosomiasis-endemic counties (districts) in China from 2015 to 2021, and 43.29% of all reemerging snail habitats were identified in 11 schistosomiasis-endemic counties (districts), with the largest area of reemerging snail habitats found in Weishan Li and Hui Autonomous County of Hunan Province (1 579.70 hm2). Conclusions Emerging and reemerging O. hupensis snails were identified in China each year from 2015 to 2021, with much larger areas of reemerging snail habitats than emerging snail habitats, and larger numbers of schistosomiasis-endemic provinces and counties (districts) with reemerging snails were found that those of provinces and counties (districts) with emerging snails. Specific snail control interventions are required tailored to the causes of emerging and reemerging snail habitats. Both emergence and reemergence of O. hupensis snails should be paid attention to in marshland and lake endemic areas, and Guangxi Zhuang Autonomous Region, Shanghai Municipality and Zhejiang Province where schistosomiasis had been eliminated, and reemergence of O. hupensis snails should be given a high priority in hilly areas. In addition, monitoring of O. hupensis snails should be reinforced in snail-free areas after flooding.
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Objective To examine the impact of COVID-19 pandemic on the epidemic status of imported malaria and national malaria control program in China, so as to provide insights into post-elimination malaria surveillance. Methods All data pertaining to imported malaria cases were collected from Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region during the period from January 1, 2018 through December 31, 2021. The number of malaria cases, species of malaria parasites, country where malaria parasite were infected, diagnosis and treatment after returning to China, and response were compared before (from January 1, 2018 to January 22, 2020) and after the COVID-19 pandemic (from January 23, 2020 to December 31, 2021). Results A total of 2 054 imported malaria cases were reported in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region during the period from January 1, 2018 to December 31, 2021, and there were 1 722 cases and 332 cases reported before and after the COVID-19 pandemic, respectively. All cases were reported within one day after definitive diagnosis. The annual mean number of reported malaria cases reduced by 79.30% in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region after the COVID-19 pandemic (171 cases) than before the pandemic (826 cases), and the number of monthly reported malaria cases significantly reduced in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region since February 2020. There was a significant difference in the constituent ratio of species of malaria parasites among the imported malaria cases in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region before and after the COVID-19 pandemic (χ2 = 146.70, P < 0.05), and P. falciparum malaria was predominant before the COVID-19 pandemic (72.30%), while P. ovale malaria (44.28%) was predominant after the COVID-19 pandemic, followed by P. falciparum malaria (37.65%). There was a significant difference in the constituent ratio of country where malaria parasites were infected among imported malaria cases in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region before and after the COVID-19 pandemic (χ2 = 13.83, P < 0.05), and the proportion of malaria cases that acquired Plasmodium infections in western Africa reduced after the COVID-19 pandemic that before the pandemic (44.13% vs. 37.95%; χ2 = 4.34, P < 0.05), while the proportion of malaria cases that acquired Plasmodium infections in eastern Africa increased after the COVID-19 pandemic that before the pandemic (9.58% vs. 15.36%; χ2 = 9.88, P = 0.02). The proportion of completing case investigation within 3 days was significantly lower after the COVID-19 pandemic than before the pandemic (96.69% vs. 98.32%; χ2= 3.87, P < 0.05), while the proportion of finishing foci investigation and response within 7 days was significantly higher after the COVID-19 pandemic than before the pandemic (100.00% vs. 98.43%; χ2 = 3.95, P < 0.05). Conclusions The number of imported malaria cases remarkably reduced in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region of China during the COVID-19 pandemic, with a decreased proportion of completing case investigations within 3 days. The sensitivity of the malaria surveillance-response system requires to be improved to prevent the risk of secondary transmission of malaria due to the sharp increase in the number of imported malaria cases following the change of the COVID-19 containment policy.
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Objective: To determine the spatiotemporal distribution of Schistosoma (S.) japonicum infections in humans, livestock, and Oncomelania (O.) hupensis across the endemic foci of China. Methods: Based on multi-stage continuous downscaling of sentinel monitoring, county-based schistosomiasis surveillance data were captured from the national schistosomiasis surveillance sites of China from 2005 to 2019. The data included S. japonicum infections in humans, livestock, and O. hupensis. The spatiotemporal trends for schistosomiasis were detected using a Joinpoint regression model, with a standard deviational ellipse (SDE) tool, which determined the central tendency and dispersion in the spatial distribution of schistosomiasis. Further, more spatiotemporal clusters of S. japonicum infections in humans, livestock, and O. hupensis were evaluated by the Poisson model. Results: The prevalence of S. japonicum human infections decreased from 2.06% to zero based on data of the national schistosomiasis surveillance sites of China from 2005 to 2019, with a reduction from 9.42% to zero for the prevalence of S. japonicum infections in livestock, and from 0.26% to zero for the prevalence of S. japonicum infections in O. hupensis. Analysis using an SDE tool showed that schistosomiasis-affected regions were reduced yearly from 2005 to 2014 in the endemic provinces of Hunan, Hubei, Jiangxi, and Anhui, as well as in the Poyang and Dongting Lake regions. Poisson model revealed 11 clusters of S. japonicum human infections, six clusters of S. japonicum infections in livestock, and nine clusters of S. japonicum infections in O. hupensis. The clusters of human infection were highly consistent with clusters of S. japonicum infections in livestock and O. hupensis. They were in the 5 provinces of Hunan, Hubei, Jiangxi, Anhui, and Jiangsu, as well as along the middle and lower reaches of the Yangtze River. Humans, livestock, and O. hupensis infections with S. japonicum were mainly concentrated in the north of the Hunan Province, south of the Hubei Province, north of the Jiangxi Province, and southwestern portion of Anhui Province. In the 2 mountainous provinces of Sichuan and Yunnan, human, livestock, and O. hupensis infections with S. japonicum were mainly concentrated in the northwestern portion of the Yunnan Province, the Daliangshan area in the south of Sichuan Province, and the hilly regions in the middle of Sichuan Province. Conclusions: A remarkable decline in the disease prevalence of S. japonicum infection was observed in endemic schistosomiasis in China between 2005 and 2019. However, there remains a long-term risk of transmission in local areas, with the highest-risk areas primarily in Poyang Lake and Dongting Lake regions, requiring to focus on vigilance against the rebound of the epidemic. Development of high-sensitivity detection methods and integrating the transmission links such as human and livestock infection, wild animal infection, and O. hupensis into the surveillance-response system will ensure the elimination of schistosomiasis in China by 2030.
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Objective: To determine the spatiotemporal distribution of Schistosoma (S.) japonicum infections in humans, livestock, and Oncomelania (O.) hupensis across the endemic foci of China. Methods: Based on multi-stage continuous downscaling of sentinel monitoring, county-based schistosomiasis surveillance data were captured from the national schistosomiasis surveillance sites of China from 2005 to 2019. The data included S. japonicum infections in humans, livestock, and O. hupensis. The spatiotemporal trends for schistosomiasis were detected using a Joinpoint regression model, with a standard deviational ellipse (SDE) tool, which determined the central tendency and dispersion in the spatial distribution of schistosomiasis. Further, more spatiotemporal clusters of S. japonicum infections in humans, livestock, and O. hupensis were evaluated by the Poisson model. Results: The prevalence of S. japonicum human infections decreased from 2.06% to zero based on data of the national schistosomiasis surveillance sites of China from 2005 to 2019, with a reduction from 9.42% to zero for the prevalence of S. japonicum infections in livestock, and from 0.26% to zero for the prevalence of S. japonicum infections in O. hupensis. Analysis using an SDE tool showed that schistosomiasis-affected regions were reduced yearly from 2005 to 2014 in the endemic provinces of Hunan, Hubei, Jiangxi, and Anhui, as well as in the Poyang and Dongting Lake regions. Poisson model revealed 11 clusters of S. japonicum human infections, six clusters of S. japonicum infections in livestock, and nine clusters of S. japonicum infections in O. hupensis. The clusters of human infection were highly consistent with clusters of S. japonicum infections in livestock and O. hupensis. They were in the 5 provinces of Hunan, Hubei, Jiangxi, Anhui, and Jiangsu, as well as along the middle and lower reaches of the Yangtze River. Humans, livestock, and O. hupensis infections with S. japonicum were mainly concentrated in the north of the Hunan Province, south of the Hubei Province, north of the Jiangxi Province, and southwestern portion of Anhui Province. In the 2 mountainous provinces of Sichuan and Yunnan, human, livestock, and O. hupensis infections with S. japonicum were mainly concentrated in the northwestern portion of the Yunnan Province, the Daliangshan area in the south of Sichuan Province, and the hilly regions in the middle of Sichuan Province. Conclusions: A remarkable decline in the disease prevalence of S. japonicum infection was observed in endemic schistosomiasis in China between 2005 and 2019. However, there remains a long-term risk of transmission in local areas, with the highest-risk areas primarily in Poyang Lake and Dongting Lake regions, requiring to focus on vigilance against the rebound of the epidemic. Development of high-sensitivity detection methods and integrating the transmission links such as human and livestock infection, wild animal infection, and O. hupensis into the surveillance-response system will ensure the elimination of schistosomiasis in China by 2030.
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Objective To understand the application value of spacial clusters detection of human schistosomiasis epidemic,based on small scale level in heavy mountainous and hilly endemic areas, Songzi County,Hubei Province,China. Methods Positive results of human serological detection antibody titer equal or above 80,and positive schistosomiasis cases of fecal examination from 2016 to 2018 as research object in Songzi County.The flexible irregular space scan statistics was used to analyse the spatial clustering analysis of human schistosomiasis epidemic in the heavy mountainous and hilly endemic areas, setting parameter K=2 ,K=6 or K=10, respectively,based on small scale of village level in Songzi County. Results There was none positive schistosomiasis cases of fecal examination in Songzi County from 2016 to 2018.The number of human serological detection antibody titer equal or above 80 were 74, 206, 83, from 2016 to 2018，respectively.There was spatial clusters of positive of human serological detection antibody titer equal or above 80 for schistosomiasis cases in the county from 2016-2018. Areas of flexible irregular space scan statistic in cluster detection changing with the change of different K values. Under different parameters of flexible irregular space scan statistic results show that the most likely cluster of 40 endemic villages in three towns,inculding Laocheng town,Chendian town and Wangjiaqiao town were the prominent. Conclusion There are spatial clusters of human schistosomiasis based on small scale of village level by flexible irregular space scan statistic in mountainous and hilly endemic areas, Songzi County,Hubei Province.Therefore,the monitoring and control of schistosomiasis should be consolidated in the future,in order to achieve schistosomiasis elimination in Hubei Province at an early date.
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Objective To study the dynamic diffusion characteristics of Biomphalaria straminea in Shenzhen, Dongguan and Huizhou of Southern China. Methods B. straminea was monitored at 25 investigation points along 10 river channels in Shenzhen, Dongguan and Huizhou by salvaging method. The diffusion characteristics of snails along with water in the Guihua New Village section of the Guanlan River and the Dawei Village section of the Longgang River were analyzed by GPS location drift test. In addition, the influence of flooding on the diffusion of B. straminea in the Kuichong River both before and after Typhoon "Shanzhu" was analyzed by monitoring the hydrology and distribution of snails. Results In March and October from 2016 to 2018, a total of 1 176 kg of floating objects were salvaged in rivers in Shenzhen, Dongguan and Huizhou. Scattered B. straminea were found on water hyacinths. Drift test of floats with GPS showed that the average drift speed of GPS floating objects was close to the river surface velocity. Affected by river current and wind direction, the GPS floats quickly drifted to the river bank and stopped in the stagnant area due to the blockade of water plants, stone and the bending of the shoreline. The drift distance of each time was between 136 - 715m. The test results of salvaged floating objects found that the loss rates of B. straminea were 46.70% - 60.00% and 22.10% - 30.80%, in the Guihua New Village section of the Guanlan River and the Dawei Village section of the Longgang River, respectively, which were significantly affected by the floating weight, river velocity and drifting distance. The analysis of the hydrology and distribution of B. straminea in the Kuichong River both before and after Typhoon "Shanzhu" showed that the density of B. straminea in the river was significantly reduced by the flood. Conclusion B. straminea is mainly transported as suspended matter in water body, and flooding was an important factor in its long-distance diffusion.
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Objective To analyze the spatial clustering of human schistosomiasis at the village level in key counties in Hubei Province, to provide scientific evidence for formulating strategies for human schistosomiasis prevention and control in the next stage. Methods Gong'an County and Jiangling County in Hubei Province were selected as representative counties for this study. A town or village was set up as a research unit. Schistosomiasis cases of a positive fecal examination in 2015 and cases with positive detection for schistosomiasis serological antibody titer equal or above 80 in 2016-2018 were selected as research subjects in these two counties. The Kulldorff circular scan statistic was used for the spatial clustering analysis of human schistosomiasis infection status in the population. Results There was spatial clustering of positive schistosomiasis cases of fecal examination, at the level of a town or village in both counties in 2015. There was spatial clustering of positive human serological antibody detection at the level of town or village from 2016-2018. Eighty-six endemic villages in five towns in the northeast of Gong'an County, along the Yangtze river,including Mahaokou Town, Zhakou Town, Yangjiachang Town, Jiazhuyuan Town and Douhuti Town, were the most prominent. There was no spatial clustering of positive results of human serological antibody detection at the town and village level in Jiangling County, in2017, while there was spatial clustering of human serological antibody detection in 2016 and 2018,respectively. Fifty-seven endemic villages in two towns (Puji Town and Xionghe Town) in the southwest of Jiangling County, along the Yangtze river,were the most prominent. Conclusion There were spatial clustering of human schistosomiasis epidemic at village level both in Gong'an County and Jiangling County, Hubei Province. Compared with the previous studies, there was a trend of shrink and decline of clustering areas. Therefore, the current situation of the epidemic has put forward higher requirements for the implementation of precise prevention and control in the progress of schistosomiasis elimination work in various epidemic areas.
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Objective To assess the theoretical knowledge and practical skills of parasitic diseases among technicians from disease control and prevention institutions. Methods The Assessment on National Parasitic Disease Control and Prevention Techniques was organized in September,2015. Together,124 subjects from disease control and prevention institutions at prov-ince,prefecture or county levels in 31 provinces joined the assessment. A database was built consisting of subjects'basic infor-mation and assessment scores. Statistical analysis was used to analyze the scores by gender,age,professional title,institutions and places of participants. Results The average total score of all the subjects was 123.3,with a passing rate of 57.3%. The av-erage scores of male subjects(48 subjects)and female subjects(76 subjects)were 125.9 and 121.7 respectively;the average scores of the subjects aged under 30 years(57 subjects),between 30 and 40 years(61 subjects)and above 40 years(6 sub-jects)were 119.6,128.1 and 111.2 respectively;the average scores of persons with junior(94 subjects),intermediate(28 sub-jects)and senior(2 subjects)professional titles were 119.2,135.9 and 140.5 respectively. The average theoretical assessment score of all the subjects was 61.9,with a passing rate of 62.9%. The average practical skill assessment score of all the subjects was 61.4,with a passing rate of 58.1%. Conclusions The theoretical assessment results range widely. The theoretical knowl-edge results of technicians from disease control and prevention institutions are low in general. Therefore ,the specific training based on daily work needs to be enhanced.
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Objective To analyze the investigation data of the national schistosomiasis surveillance sites in 2015,so as to provide scientific evidences for schistosomiasis control,elimination and surveillance. Methods According to National Schisto-somiasis Surveillance Programme(version 2014),457 surveillance sites were selected,and the investigation data in residents, floating population,domestic animals and Oncomelania hupensis snails were collected and analyzed from four types of endemic counties. Results A total of 4468 seropositive cases were detected from 133350 residents,among which 4457 residents with seropositive results received the etiological tests,and 71 of them were identified with positive results. Most of them were fisher-men and farmers in the middle and old-aged group. The schistosomiasis infection rate was 0.05% in local population. Totally 977 seropositive cases were examined from 85047 migrant individuals,and 16 positive cases were found out from 966 individuals who took etiological tests,which showed the schistosomiasis infection rate was 0.02% in floating population. Imported cases were found among floating people in four provinces,namely Zhejiang,Hunan,Hubei and Anhui provinces. No acute schistoso-miasis cases were reported. A total of 13406 head of cattle received examinations and only 5 were determined as stool positives. The cattle infection rate was 0.04%. The snail survey covered an area of 22295.13 hm2 and snails were found in an area of 7426.63 hm2,including 3.47 hm2 newly detected area with snails. No schistosome-infected snails were found. Conclusions Based on the collected data from 457 national schistosomiasis surveillance sites of China,the Schistosoma japonicum infection rate is 0.05% in local population which maintains a stably descending trend. In floating population,there are imported schistosome-in-fected persons. Cattle are still a vulnerable species infected with schistosome. Although no infected snails are found,snails are widely distributed in endemic areas. Some provinces detect areas with snails for the first time or the reproduction of snails. The staff in endemic provinces should carry out the surveillance work according to National Schistosomiasis Surveillance Programme (version2014)to improve the surveillance system,and enhance the sensibility and effectiveness of surveillance work.
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Objective To understand the spatial distribution characteristics of wild feces in schistosomiasis endemic areas of Jiangling County,Hubei Province and further explore the source of infection efficiently,so as to provide the evidence for the development of corresponding monitoring and response technology. Methods In 2011,the fresh wild feces were investigated every two months in the selected 15 villages by the severity of historical endemic in Jiangling County. The schistosome miracidi-um hatching method was used to test the schistosome infection of the wild feces. The descriptive analysis and spatial analysis were used for the description of the spatial distribution of the wild feces. Results Totally 701 wild feces samples were collected with the average density of 0.0556/100 m2,and the positive rate of the wild feces was 11.70%(82/701). The results of the re-gression analysis showed a positive spatial correlation between the positive rate of wild feces and the rate of human infection,the area with infected Oncomelania hupensis and the number of fenced cattle,and the corrected R2 of the model was 0.58. Conclu-sion The infection rate of wild feces is positively correlated with the rate of human infection,area with infected O. hupensis and number of fenced cattle in space in Jiangling County,so the prevention and control measures could be conducted according to the spatial distribution of the positive wild feces.
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Objective To produce a comprehensive transcript dataset of Oncomelania hupensis before and after Schistosoma japonicum infection,so as to provide experimental data for perfecting genetic structural information and excavating related mo-lecular markers of O. hupensis infected by S. japonicum. Methods O. hupensis snails were divided into the following 3 groups:one week after S. japonicum miracidium infection,4 weeks after S. japonicum miracidium infection,and normal condition. Mil-lion high-quality reads were obtained from the normalized cDNA of the pooled samples,which were assembled into transcripts. Results A total of 63686 unigenes were identified and were classified into 4 main categories,including general functional pre-diction(15.36%),signal transduction mechanism(11.75%),posttranslational modification(8.89%),and functional unknown (12.20%). Conclusions The transcriptome information of O. hupensis snail after the invasion of S. japonicum shows that sever-al genes are significantly up-regulated or down regulated expression,and that the availability of transcriptome information might provide a strong foundation for further understanding the schistosome-snail interaction at the molecular level.
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@#Oncomelania hupensis is the only intermediate host of Schistosoma japonicum. The elimination of Oncomelania snails is the key technique step for schistosomiasis control. This paper summarizes the progress of the techniques of snail control，including the methods of ecology engineering，biology，molluscicides and the study on novel molluscicides，and reviews their features. In addition，this paper explores the appropriate approach to control the snails.
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@#Objective To evaluate the human resource in a national institute of parasitic diseases from 2007 to 2016，so as to provide a reference for the construction of a well⁃crafted human resource of national parasitic diseases control and prevention. Methods The basic information of the staff in the national institute of parasitic diseases was investigated and a related database was established to analyze the quantity and structure of the human resource allocation in 10 years through the annual statistics each year. Results The number of staff in the institute increased by 6.25% in 2016 compared with that in 2007，and 43.32% of the staff were under 35 years old. In 2016，59.36% of the staff had a master degree or a higher level degree，and 37.97% of the staff had senior technical titles. The difference value of the inflows and outflows was 3.21%. Conclusions The change of the structure and quality of human resource in this institute has a good tendency in the past ten years. The organization should optimize the human resource allocation and improve its capacity in disease control and prevention to broaden the methods of talent introduction and control the brain drain problem.
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Schistosomiasis Control and Elimination(GB 15976-2015)and Diagnostic Criteria for Schistosomiasis(WS 261-2006)are the only two national health criteria related to schistosomiasis control program implemented in P. R. China. The roles of criteria to guide and accelerate the transition from schistosomiasis control to elimination are concluded ,based on this system?atic review how the criteria led the implementation of the medium?and long?term national plan and provided the guidance when drafting the thirteen?five years national plan for schistosomiasis,and the suggestion to draft more criteria related to schistosomia?sis elimination program and strengthening the implementation of current criteria,so as to precisely guide the schistosomiasis elimination program in P. R. China.
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China's prevention and control of parasitic diseases has made remarkable achievements. However,the prevalence and transmission of parasitic diseases is impacted by the complicated natural and social factors of environment ,natural disas-ters,population movements,and so on. Therefore,there are still the risks of the outbreak of emergency parasitic diseases af-fairs,which may affect the control effectiveness of parasitic diseases and endanger the social stability seriously. In this article , we aim at the analysis of typical cases of emergency parasitic disease affairs and their impacts on public health security in China in recently years,and we also elaborate the disposal characteristics of emergency parasitic disease affairs,and propose the estab-lishment of response system to emergency parasitic disease affairs in China,including the organizational structure and response flow path,and in addition,point out that,in the future,we should strengthen the system construction and measures of the re-sponse system to emergency parasitic disease affairs,so as to control the risk and harm of parasitic disease spread as much as possible and to realize the early intervention and proper disposal of emergency parasitic disease affairs.
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Objective To study the application of autoregressive integrated moving average(ARIMA)model to predict the monthly reported malaria cases in China,so as to provide a reference for prevention and control of malaria. Methods SPSS 24.0 software was used to construct the ARIMA models based on the monthly reported malaria cases of the time series of 2006-2015 and 2011-2015,respectively. The data of malaria cases from January to December,2016 were used as validation data to compare the accuracy of the two ARIMA models. Results The models of the monthly reported cases of malaria in China were ARIMA(2,1,1)(1,1,0)12 and ARIMA(1,0,0)(1,1,0)12 respectively. The comparison between the predictions of the two models and actual situation of malaria cases showed that the ARIMA model based on the data of 2011-2015 had a higher ac-curacy of forecasting than the model based on the data of 2006-2015 had. Conclusion The establishment and prediction of ARIMA model is a dynamic process,which needs to be adjusted unceasingly according to the accumulated data,and in addi-tion,the major changes of epidemic characteristics of infectious diseases must be considered.