ABSTRACT
Objective To investigate the prevalence and molecular features of Cryptosporidium in captive-bred Mustela putorius furo in Jiangsu Province.. Methods A total of 290 fresh stool samples were collected from a ferret farm in Jiangsu Province on May 2017, and the small subunit rRNA (SSU rRNA) gene of Cryptosporidium was amplified in stool samples using nested PCR assay. The actin, cowp and gp60 genes were amplified in positive samples and sequenced to characterize Cryptosporidium species/genotypes. Results A total of 18 stool samples were tested positive for Cryptosporidium SSU rRNA gene, with a detection rate of 6.2%. Sequence and phylogenetic analyses of SSU rRNA, actin and cowp genes characterized Cryptosporidium isolated from captive-bred ferrets as Cryptosporidium sp. ferret genotype. In addition, gp60 gene was amplified in 10 out of 18 stool samples tested positive for Cryptosporidium. Conclusions Cryptosporidium is widely prevalent in captive-bred ferrets in Jiangsu Province, and Cryptosporidium sp. ferret genotype is the only Cryptosporidium genotype in ferrets.
ABSTRACT
Objective To investigate the seasonal Aedes population fluctuation and the resistance of Aedes populations to common insecticides in Jiangsu Province in 2020, so as to provide insights into vector-borne infectious diseases control.. Methods One village was randomly sampled from each of Xinbei District of Changzhou City and Zhangjiagang County of Suzhou City in southern Jiangsu Province, Hai’an County of Nantong City and Yandu District of Yancheng City in Central Jiangsu Province, and Suining County of Xuzhou City and Sihong County of Suqian City in northern Jiangsu Province during the period between May and October, 2020. A small ponding container was sampled, and larval Aedes mosquitoes were collected using straws once each in early and late stages of each month. All larvae were bred in laboratory to adults for population identification. In addition, larval breeding were observed in all small ponding containers in and out of 30 households that were randomly sampled from six surveillance sites, and the larval mosquito density was estimated using Breteau index. Larval A. albopictus mosquitoes were sampled around Cuiyuan New Village in Jintan District of Changzhou City, and bred in laboratory to the first offspring generation, and the susceptibility of adult female mosquitoes to deltamethrin, lambda-cyhalothrin, malathion, and propoxur was tested using the filter-paper bioassay recommended by WHO. Results A total of 1 165 larval Aedes mosquitoes were captured from small ponding containers in six surveillance sites of Jiangsu Province in 2020, and all were identified as A. albopictus following eclosion. The largest number of Aedes larvae captured was found in July. A total of 1 152 households were investigated in six surveillance sites, and the mean Breteau indexes were 9.58, 13.20, 13.71, 13.20, 12.18 and 5.58 from May to October, respectively, while a high Aedes transmission risk was seen in Xinbei District of Changzhou City, with a higher Breteau index than in Suining (H = 23.667, Padjusted = 0.001) and Sihong (H = 22.500, Padjusted = 0.003) counties. The field-captured A. albopictus from Cuiyuan New Village in Jintan District of Changzhou City remained sensitive to malathion, but was resistant to propoxur, and developed high-level resistance to deltamethrin and lambda-cyhalothrin. Conclusions A. albopictus was present in southern, central and northern Jiangsu Province in 2020, and the larval density peaked in July. A. albopictus captured from Cuiyuan New Village in Jintan District of Changzhou City has developed high-level resistance to pyrethroid pesticides.
ABSTRACT
Objective To create risk predictive models of healthcare-seeking delay among imported malaria patients in Jiangsu Province based on machine learning algorithms, so as to provide insights into early identification of imported malaria cases in Jiangsu Province. Methods Case investigation, first symptoms and time of initial diagnosis of imported malaria patients in Jiangsu Province in 2019 were captured from Infectious Disease Report Information Management System and Parasitic Disease Prevention and Control Information Management System of Chinese Center for Disease Control and Prevention. The risk predictive models of healthcare-seeking delay among imported malaria patients were created with the back propagation (BP) neural network model, logistic regression model, random forest model and Bayesian model using thirteen factors as independent variables, including occupation, species of malaria parasite, main clinical manifestations, presence of complications, severity of disease, age, duration of residing abroad, frequency of malaria parasite infections abroad, incubation period, level of institution at initial diagnosis, country of origin, number of individuals travelling with patients and way to go abroad, and time of healthcare-seeking delay as a dependent variable. Logistic regression model was visualized using a nomogram, and the nomogram was evaluated using calibration curves. In addition, the efficiency of the four models for prediction of risk of healthcare-seeking delay among imported malaria patients was evaluated using the area under curve (AUC) of receiver operating characteristic curve (ROC). The importance of each characteristic was quantified and attributed by using SHAP to examine the positive and negative effects of the value of each characteristic on the predictive efficiency. Results A total of 244 imported malaria patients were enrolled, including 100 cases (40.98%) with the duration from onset of first symptoms to time of initial diagnosis that exceeded 24 hours. Logistic regression analysis identified a history of malaria parasite infection [odds ratio (OR) = 3.075, 95% confidential interval (CI): (1.597, 5.923)], long incubation period [OR = 1.010, 95% CI: (1.001, 1.018)] and seeking healthcare in provincial or municipal medical facilities [OR = 12.550, 95% CI: (1.158, 135.963)] as risk factors for delay in seeking healthcare among imported malaria cases. BP neural network modeling showed that duration of residing abroad, incubation period and age posed great impacts on delay in healthcare-seek among imported malaria patients. Random forest modeling showed that the top five factors with the greatest impact on healthcare-seeking delay included main clinical manifestations, the way to go abroad, incubation period, duration of residing abroad and age among imported malaria patients, and Bayesian modeling revealed that the top five factors affecting healthcare-seeking delay among imported malaria patients included level of institutions at initial diagnosis, age, country of origin, history of malaria parasite infection and individuals travelling with imported malaria patients. ROC curve analysis showed higher overall performance of the BP neural network model and the logistic regression model for prediction of the risk of healthcare-seeking delay among imported malaria patients (Z = 2.700 to 4.641, all P values < 0.01), with no statistically significant difference in the AUC among four models (Z = 1.209, P > 0.05). The sensitivity (71.00%) and Youden index (43.92%) of the logistic regression model was higher than those of the BP neural network (63.00% and 36.61%, respectively), and the specificity of the BP neural network model (73.61%) was higher than that of the logistic regression model (72.92%). Conclusions Imported malaria cases with long duration of residing abroad, a history of malaria parasite infection, long incubation period, advanced age and seeking healthcare in provincial or municipal medical institutions have a high likelihood of delay in healthcare-seeking in Jiangsu Province. The models created based on the logistic regression and BP neural network show a high efficiency for prediction of the risk of healthcare-seeking among imported malaria patients in Jiangsu Province, which may provide insights into health management of imported malaria patients.
ABSTRACT
Objective:To investigate the current situation of radiotherapy resources in medical institutions at all levels in Jiangsu province.Methods:The survey was initiated with the subproject " Medical Radiation Protection Monitoring" of the National Key Occupational Disease Monitoring Project. Unified electronic questionnaires were designed based on the survey content, distributed and recycled through the network, to investigate all medical institutions (excluding military hospitals) conducting radiotherapy in Jiangsu province in 2020.Results:By the end of 2020, there were 113 medical institutions (excluding military hospitals) carrying out radiotherapy in Jiangsu Province, including 86 hospitals Level Ⅲ, 23 hospitals Level Ⅱ, 2 hospitals Level I, and 2 unrated hospitals, with the largest number of hospitals in northern Jiangsu. A total of 2 033 workers were engaged in radiotherapy, with inclusion of 319 medical physicists, accounting for 15.69% of the total, slightly higher than the national average. There were 195 sets of radiotherapy equipment, including 153 medical linear accelerators and 31 afterloading units, 9 Gamma Knife and 2 60Co therapeutic machines, respectively. The number of accelerators per million population was 1.80, more than nationwide average, 1.45, in 2018. The annual number of patients treated with radiotherapy was 92 441, with an annual treatment frequency of 1.090 per 1 000 population, lower than international health-care level I. Conclusions:Radiotherapy resources in Jiangsu province exceed the national average, but may not fully meet the medical requirements of existing patients, and there is still a significant gap from international health-care level I.
ABSTRACT
Objective: To understand the incidence of pneumoconiosis in the non-coal mining industry in Jiangsu Province, and provide reference for the prevention and control of pneumoconiosis in the non-coal mining industry. Methods: The data of 7019 newly diagnosed pneumoconiosis patients in non-coal mining industry in Jiangsu Province from January 1956 to December 2019 were collected through the Jiangsu Province Pneumoconiosis Follow-up Network Report System, including the gender of the pneumoconiosis patients, the name of the employer and the location, the industry classification of the employer, the duration of dust exposure in dust exposure, the name of occupational pneumoconiosis disease, the date of diagnosis of pneumoconiosis, etc. The collected case data of patients with pneumoconiosis were entered into the statistical software, and the characteristics of the patients' diagnosis time, region and industry were analyzed. Results: The number of confirmed pneumoconiosis patients in the non-coal mining industry in Jiangsu Province was mostly in 2007 (395 cases) , concentrated in Wuxi City (40.96%, 2875/7019) and Suzhou City (27.72%, 1946/7019) . The industries to which the patients belonged were mainly non-metallic mining and dressing (60.95%, 4278/7019) , and the most common type of pneumoconiosis was silicosis (96.40%, 6766/7019) . The patients were mainly stageⅠpneumoconiosis (61.33%, 4305/7019) . There were statistically significant differences in the mean age of diagnosis and the average duration of dust exposure among patients with different pneumoconiosis stages (P<0.01) . The differences in the average diagnosis age and the average duration of dust exposure of patients with different types of pneumoconiosis were statistically significant (P<0.05) , the mean age of diagnosis and the average duration of dust exposure of electric welders were the smallest, which were (44.92±7.74) years old and (17.38±10.15) years, respectively. Conclusion: The regional and industry distribution characteristics of new pneumoconiosis patients in the non-coal mining industry in Jiangsu Province are obvious, and attention should be paid to the treatment of pneumoconiosis patients with young diagnosed age and short duration of dust exposure, as well as the personal protection and health protection of front-line workers such as electric welders who are exposed to productive dust in a short period of time.
Subject(s)
Adult , Humans , Middle Aged , Coal Mining , Dust , Occupational Diseases/epidemiology , Occupational Exposure/adverse effects , Pneumoconiosis/epidemiology , Silicosis/epidemiologyABSTRACT
Objective To investigate the health-seeking behaviors of imported malaria cases after returning to China, and to investigate the factors affecting the time to initial diagnosis, so as to provide the scientific evidence for early identification of imported malaria cases and prevention of severe cases development and secondary transmission. Methods The individual demographic features, and the disease onset and the time to initial diagnosis of imported malaria cases in Jiangsu Province in 2019 were captured from the National Notifiable Disease Report System and the Information Management System for Parasitic Disease Control in China. The characteristics of health-seeking behaviors and epidemiological features of imported malaria cases were descriptively analyzed, and the factors affecting the time to initial diagnosis of imported malaria cases after returning to China were identified using multivariate logistic regression analysis. Results A total of 244 imported malaria cases were reported in Jiangsu Province in 2019, and the time to initial diagnosis of the cases were 1-12 days, with mean time of (1.53 ± 1.65) days, with median time of one day. The highest number of malaria cases seeking healthcare services were found on the day of developing primary symptoms (76 cases, 31.1%), followed by on the second day (68 cases, 27.9%), on the third day (46 cases, 18.9%), and 54 cases (22.1%) received initial diagnosis 3 days following presence of primary symptoms, including 3 cases with initial diagnosis at more than one week. High proportions of imported malaria cases with a delay in the time to initial diagnosis were seen in migrant workers who returned to China in January (14 cases, 5.7%) and December (13 cases, 5.3%) and those aged between 41 and 50 years (32 cases, 13.1%). Multivariate logistic regression analysis showed relative short time to initial diagnosis among imported malaria cases returning to China on March [odds ratio (OR) = 0.16, P = 0.03, 95% confidence interval (CI): (0.03, 0.85)] and those with a history of overseas malaria parasite infections [OR = 0.36, P = 0.001, 95% CI: (0.19, 0.67)]. Conclusions Timely health-seeking behaviors should be improved among imported malaria cases in Jiangsu Province, patients with a history of overseas malaria infections require faster health-seeking activities.
ABSTRACT
Objective To investigate the prevalence of Spirometra mansoni infections in hosts in Jiangsu Province, so as to provide the scientific basis for the management of sparganosis mansoni. Methods From 2018 to 2019, nine counties (cities, districts) were randomly selected from Jiangsu Province as the survey sites, and 100 healthy individuals were randomly selected to perform the serological test of S. mansoni infections and the detection of S. mansoni eggs. The procercoids were detected in the intermediate host Cyclops, and the S. mansoni eggs were identified in the stool samples of the definitive hosts cats and dogs. Results The prevalence of S. mansoni human infections was 0 (0/900) in the 9 survey sites of Jiangsu Province, and the sero-prevalence of the specific IgG antibody against S. mansoni was 1.22% (11/900). The positive rate of procercoids was 0.33% (3/900) in Cyclops. In addition, the S. mansoni egg-positive rate was 1.48% (2/135) in cats and dogs. Conclusions Sparganosis mansoni is prevalent in Jiangsu Province. Health education pertaining to the damages of sparganosis mansoni and the route of S. mansoni infections should be improved.
ABSTRACT
Illustrated Classic of Materia Medica （Ben Cao Tu Jing）， compiled in 1061， is regarded as the crystallization of the second national survey of Chinese medicinal resources in the history of China after the Newly Revised Materia Medica （Xin Xiu Ben Cao）， which serves as a precious source for exploring the Chinese medicinal resources in the Song Dynasty. The Illustrated Classic of Materia Medica （Ben Cao Tu Jing） covers 50 illustrations for Chinese medicinal materials named after geographical names of Jiangsu Province， 39 of which have been verified in today's Jiangsu Province. To be specific， Chinese medicinal materials in 32 illustrations can be traced back to their species， those in four illustrations to genera， and those in three illustrations to family. The remaining 12 illustrations remain to be further verified. The origins of most Chinese medicinal materials in the illustrations can be traced， which is attributed to their exquisiteness and lifelikeness as well as the detailed descriptions of the characters of the original plants and animals. In the textual research of these illustrations， we have noticed that there are inconsistencies between pictures and texts， and different illustrations may be derived from the same origin. This is believed to be related to SU Song's principle of collation that "for all Chinese medicinal materials presented as examples， if their shapes and categories recorded are not consistent with those in the literature， they will be retained. If there is any connection with the literature， they will be annotated according to literature to make their origins clear". As revealed by the distribution of Chinese medical materials in Jiangsu Province reported in the Illustrated Classic of Materia Medica （Ben Cao Tu Jing）， the utilization and development of Jiangsu medicinal materials during the Northern Song Dynasty were mainly concentrated in the low-altitude valleys and coastal areas. It could be seen from the illustrations of Chinese medicinal materials named after geographical names of today's Jiangsu Province that the production areas with a large number of illustrations were relatively developed in politics， economy， and transportation at that time， which enabled the medicinal resources to be fully utilized.
ABSTRACT
Objective To investigate the distribution and density of Culex mosquito populations and the resistance of Culex pipiens pallens to insecticides in Jiangsu Province in 2018 and 2019. Methods During the period from June to October in 2018 and 2019, six counties (districts, cities) were sampled in southern, northern and central Jiangsu Province as surveillance sites. The density of Culex mosquitoes was measured overnight using the light trapping technique. In addition, Culex pipiens pallens mosquitoes were collected from Hai’an of Nantong City and Yandu District of Yancheng City, central Jiangsu Province, and the sensitivity of female first filial generations to dichlorodiphenyltrichloroethane (DDT), malation, proposur, beta cypermethrin and deltamethrin was tested using the standard WHO insecticide susceptibility test assay. Results A total of 104 423 Culex mosquitoes were captured in six surveillance sites of Jiangsu Province in 2018 and 2019, and Culex quinquefasciatus (49.11%), Culex pipiens pallens (28.38%), and Culex tritaeniorhynchus (21.04%) were predominant species. The density of Culex mosquitoes started to increase since early June, peaked in July and tended to be low in late October. Culex pipiens pallens mosquitoes captured from Hai’an was susceptible to malation, while those from Yandu District were moderately resistant to malation. Culex pipiens pallens mosquitoes from both Yandu and Hai’an were moderately resistant to proposur, and were resistant to DDT, beta cypermethrin and deltamethrin. Conclusions Culex quinquefasciatus, Culex pipiens pallens and Culex tritaeniorhynchus are predominant Culex species in Jiangsu Province. Culex pipiens pallens is resistant to DT, beta cypermethrin and deltamethrin in central Jiangsu Province.
ABSTRACT
OBJECTIVE：To investigate the influ ential factors of traditional Chinese medicine （TCM）service utilized by outpatients in Jiangsu province ，and to provide reference for scientific utilization of TCM service. METHODS ：Based on the data of Jiangsu province in National Sixth Health Service Survey in 2018，descriptive analysis was performed for the general situation and population characteristics of 1 617 outpatients in Jiangsu province. Single factor analysis and multivariate binary Logistic regression model analysis were used to analyze the influential factors of TCM service utilized by outpatients. RESULTS ：Of the 1 617 respondents，145 patients（9.0％）applied TCM services at outpatient visits. Results of single factor analysis showed that age ， education degree ，annual income ，whether to participate in basic medical insurance ，self-perceived illness severity ，hypertension， diabetes，other chronic diseases ，and the first diagnose institutions were significant influential factors for TCM service utilized by outpatients in Jiangsu province （P＜0.05）. Results of binary Logistic regression showed that the elderly aged 65 years and over ， the patients who participated in the basic medical insurance for urban workers ，the patients with hypertension ，primary medical institutions as first diagnosis institutions ，the middle-income population ，and other chronic diseases were significant influential factors for TCM service utilized by outpatients in Jiangsu province （P＜0.05）. CONCLUSIONS ：Age，annual income ，whether to participate in basic medical insurance ，hypertension and other chronic diseases ，and first diagnosis institutions are significant infleutial factors for TCM service utilized by outpatients in Jiangsu province. The utilization of TCM health services for outpatients in Jiangsu province is in relatively low level ，and middle-aged and elderly patients and patients with chronic diseases show high acceptance for TCM services. Outpatients first diagnosed in primary medical institutions are more willing to accept TCM services.
ABSTRACT
Objective To analyze the epidemiological characteristics of imported cases with Plasmodium ovale infections in Jiangsu Province from 2012 to 2020, so as to provide insights into the development of the imported malaria control strategy in the province. Methods All data pertaining to cases with definitive diagnosis of P. ovale malaria in Jiangsu Province from 2012 to 2020 were captured from the National Notifiable Disease Report System and the Information Management System for Parasitic Disease Control in China, including the date of going abroad and returning to China, time of malaria infections overseas, date of malaria onset, initial diagnosis and definitive diagnosis. All data pertaining to epidemic status were descriptively analyzed. Results A total of 347 cases of P. ovale malaria were reported in Jiangsu Province from 2012 to 2020, with the highest number seen in 2015 (71 cases). All cases were laboratory-confirmed overseas imported malaria cases, accounting for 14.32% of all reported malaria cases in Jiangsu Province during the period from 2012 to 2020. The 5 cities with the highest number of imported P. ovale malaria cases included Lianyungang City (53 cases, 15.27%), Nantong City (44 cases, 12.68%), Huai’an (44 cases, 12.68%), Taizhou City (44 cases, 12.68%) and Yangzhou City (36 cases, 10.37%). The highest number of imported P. ovale malaria cases was reported in October (39 cases, 11.24%), and the lowest number was seen in December (21 cases, 6.05%). P. ovale infections mainly occurred in were Equatorial Guinea (97 cases, 37.95%), Angola (60 cases, 17.29%) and Nigeria (40 cases, 11.53%). The median duration between returning to China and malaria onset was 64 (144) days, and 7.49% (26/347) of all cases developed malaria one year after returning to China. The initial diagnosis of P. ovale malaria was mainly made at county-level medical institutions (117 cases, 33.72%), and the definitive diagnosis was mainly made at city-level medical institutions (122 cases, 35.16%). The correct rate of initial diagnosis of P. ovale malaria increased from 0 in 2012 to 78.26% in 2020, appearing a tendency towards a rise year by year (χ2 = 50.90, P < 0.01). Conclusions Imported P. ovale malaria cases were reported in Jiangsu Province each year from 2012 to 2020, and P. ovale infections predominantly occurred in Africa. Initial and definitive diagnoses of P. ovale malaria were mainly made at city- and county-level medical institutions. Training on the detection ability of malaria parasites is recommended among grassroots microscopists to improve the diagnostic ability of P. ovale malaria, and consolidate the achievements of malaria elimination in Jiangsu Province.
ABSTRACT
Schistosomiasis was once hyper-endemic in Jiangsu Province. During the past seven decades, the professionals working in schistosomiasis control from Jiangsu Province insisted on scientific and precision control all the time, created a series of replicable and generalizable “Jiangsu experiences”. These practices have developed a number of tools and approaches that have been employed in schistosomiasis control programs in main endemic foci of China. More importantly, the successful experiences from national schistosomiasis control programs of China have been firstly transferred to Africa by professionals from Jiangsu Province, and remarkable achievements have been obtained for the control of schistosomiasis haematobia in Zanzibar.
ABSTRACT
Jiangsu Province was once one of the provinces that are hyperendemic for schistosomiasis in China. Following the concerted efforts for nearly 70 years, the transmission of schistosomiasis was interrupted in the province in 2019, which is the first province to achieve the national criteria of interruption of schistosomiasis transmission among the 5 provinces locating in the marshland and lake regions. In addition to political, economic and scientific and technical factors that greatly contribute to the huge achievements from schistosomiasis control in Jiangsu Province, the spiritual implication of Jiangsu schistosomiasis control culture that is mainly characterized by dedication, rigorousness, truth-seeking and innovation play a vital role in the schistosomiasis control program of Jiangsu Province, which encourages generations of schistosomiasis control professionals working in Jiangsu Province to fight against the “God of plague”.
ABSTRACT
Malaria was one of the major infectious diseases in Jiangsu Province, where Anopheles sinensis and An. anthropophagus are main vectors for malaria transmission. Following the concerted efforts for decades, the goal of malaria elimination was achieved in Jiangsu Province in 2019, and the vector control strategy has played a vital role during the progress towards malaria elimination in Jiangsu Province. Hereby, we review the historical distribution and ecological features of An. sinensis and An. anthropophagus and describe vector control strategies at different stages of malaria control in Jiangsu Province. In addition, the advances in the research of vector biology and control in Jiangsu Province are discussed, including vector identification, strain colonization, susceptibility to malaria parasites and insecticide resistance.
ABSTRACT
Soil-transmitted nematodiasis was once widely prevalent in Jiangsu Province, which seriously threatened human health and hindered socioeconomic development. The control efforts over decades resulted in a remarkable decline in the prevalence of soil-transmitted nematode human infections in Jiangsu Province, with a reduction from 59.32% in 1989 to 0.12% in 2019, and the human prevalence remains at < 0.5% since 2013. Since 1987, an integrated strategy has been adopted for the control of soil-transmitted nematodiasis in Jiangsu Province; however, the core interventions varies at different stages, which mainly include deworming, water and sanitation service improvement, health education, and monitoring and assessment. The criteria of effective soil-transmitted nematodiasis control had been achieved in all epidemic counties (districts) of Jiangsu Province by 2019. Further actions to strengthen health education and monitoring and implement precision control measures are required to consolidate the achievements of soil-transmitted nematodiasis control and eliminate the harm of soil-transmitted nematodiasis to humans. This review summarizes the epidemiology, control progress and evolution of control strategy of soil-transmitted nematodiasis in Jiangsu Province.
ABSTRACT
Objective To analyze the epidemic situation of malaria in Jiangsu Province in 2019, so as to provide the scientific basis for the development of the strategy for the prevention of re-introduction of imported malaria. Methods The malaria case report information, epidemiological case investigation information, epidemic foci investigation and management report in Jiangsu Province in 2019 were collected, and all epidemiological data were descriptively analyzed. Results A total of 244 malaria cases were reported in Jiangsu Province in 2019, and all cases were laboratory-confirmed overseas imported cases, including 4 cases with vivax malaria, 206 cases with falciparum malaria, 12 cases with malariae malaria and 22 cases with ovale malaria. In 2019, there were 12 malaria cases progressing into severe cases in Jiangsu Province, with one death. Nanjing, Nantong, Lianyungang, Taizhou and Changzhou cities contributed the largest number of malaria cases in 2019, with the number of malaria cases accounting for 59.84% of total cases in Jiangsu Province. The infections occurred in Papua New Guinea (2 cases), Pakistan (1 case) and 27 African countries (241 cases), including Angola, the Democratic Republic of the Congo, Nigeria, Equatorial Guinea, Cote d'Ivoire and so on. There were 77 cases (31.55%) with a visit to doctor on the day of onset, and 146 cases (59.84%) within 1 to 3 days after onset. In addition, there were 149 cases (61.06%) with definitive diagnosis at the first visit and 77 cases (31.55%) diagnosed within 1 to 3 days after the visit, and the mean duration from the visit to definitive diagnosis was (0.80 ± 1.59) d, which significantly shortened as compared to that (1.34 d ± 2.59 d) in 2018 (U = 2.53, P < 0.05). Conclusions Intensifying the surveillance and management of imported malaria and improving the diagnostic capability of imported malaria and the treatment of severe malaria cases are required to consolidate the achievements of malaria elimination in Jiangsu Province.
ABSTRACT
Objective To explore the spatio-temporal characteristics of Oncomelania hupensis snails along the Danyang section of the Beijing-Hangzhou Grand Canal and the Danyang-Jintan-Liyang Canal, so as to provide scientific evidence for the dynamic assessment of the risk of snail spread in this region. Methods O. hupensis snail status was collected in the plain regions with waterway networks in the study area from 2012 to 2017. The spatio-temporal variations of snail distribution were investigated along the Danyang section of the Beijing-Hangzhou Grand Canal and the Danyang-Jintan-Liyang Canal using buffer zone analysis, spatial autocorrelation, hotspot analysis and standard deviational ellipse with the geographical information system (GIS) tools. Results The number of snail habitats showed a tendency towards a rise in the study area from 2012 to 2017, and snail habitats were predominantly distributed in the 1 000 m long buffer zone of the Danyang-Jintan-Liyang Canal, notably along the Jiuqu River at the junction between the Beijing-Hangzhou Grand Canal and the Danyang-Jintan-Liyang Canal. The distribution of snail habitats appeared spatial autocorrelations in 2014, 2016 and 2017, and the hotspot areas were mainly identified at the junction between the Danyang-Jintan-Liyang Canal and the Beijing-Hangzhou Grand Canal. In addition, the overall distribution of snail habitats was located in the northeastern-southwestern part of the study aera, and gradually shifted to the southern and northern parts with the time. Conclusions The spatial distribution of O. hupensis snails is complex along the Danyang section of the Beijing-Hangzhou Grand Canal and the Danyang-Jintan-Liyang Canal, and there is a risk of snail spread from the upper reaches to the lower reaches, where snail control needs to be intensified.
ABSTRACT
Objective To investigate the risk of Anisakis infections among high-risk populations along the coastal areas of Jiangsu Province, so as to develop the strategy for the prevention and control of anisakiasis in the province. Methods Three counties along the coastal areas of Jiangsu Province were selected as the study sites in 2018, including Rudong County in Nantong City, Haizhou District in Lianyungang City and Dongtai City in Yancheng City. The knowledge, attitude and practice (KAP) of anisakiasis prevention and control, and the prevalence of serum specific IgG antibody against Anisakis were investigated among high-risk populations among these three study sites, including fishermen, fish seller and people who liked eating fresh and live marine fish. Factors affecting the prevalence of the specific IgG antibody against Anisakis were identified using a multiple logistic regression model. In addition, Anisakis larvae infections were detected in fresh and live marine fish samples collected from local markets, and the prevalence and intensity of Anisakis infections were estimated. Results A total of 625 high-risk populations were investigated, including 349 men (55.8%). Only 13.0% of the subjects heard about anisakiasis, and a low awareness rate of anisakiasis prevention and control knowledge was seen among these three types of high-risk populations. There were 21.6% of the subjects eating raw or half-cooked marine fish, 5.8% eating undercooked marine fish, 3.2% presenting vomiting, nausea and diarrhea after eating marine fish, 5.1% developing systemic allergic symptoms, and 65.6% using the same chopping board for raw and cooked food. The sero-prevalence of the anti-Anisakis IgG antibody was 7.0% among the study subjects. Multiple logistic regression analysis identified education level [OR = 0.687, 95% CI (0.478, 0.987)] and development of systemic allergic symptoms [OR = 4.641, 95% CI(1.411, 15.268)]as factors affecting the positive anti-Anisakis IgG antibody among the study subjects. Among 494 fresh and live marine fish detected, the prevalence and intensity of Anisakis larvae infection was 64.0% and 8.1 larvae per fish, with high prevalence seen in Trichiurus haumela and Pneumatophorus japonicas. Conclusions The awareness of anisakiasis prevention and control knowledge is low among the high-risk populations living along the coastal areas of Jiangsu Province, and there are high-risk behaviors, such as eating raw or half-cooked food, using the same chopping board for raw and cooked food. In addition, the prevalence of Anisakis infections is high in the marine fish in these areas. Therefore, the health education and health promotion for anisakiasis prevention and control should be intensified.
ABSTRACT
Objective To construct the schistosomiasis diagnostic reference laboratory in Jiangsu Province, and to examine the role and diagnostic efficiency of the reference laboratory. Methods A schistosomiasis diagnostic reference laboratory was built in Jiangsu Province according to the requirements of the construction of the national schistosomiasis diagnostic reference laboratory in China. Inter-laboratory comparisons were conducted and the diagnostic capability of grassroots laboratories was evaluated in Jiangsu Province. Results The organization structure, environmental conditions, administration and quality systems of the schistosomiasis diagnostic reference laboratory in Jiangsu Province all met the requirements for construction of the national schistosomiasis diagnostic reference laboratory in China, and the schistosomiasis diagnostic reference laboratory in Jiangsu Province was issued a certificate of a province-level schistosomiasis diagnostic reference laboratory. During the 6 inter-laboratory comparisons performed by national schistosomiasis diagnostic reference centers of China, the qualitative and quantitative results of each detection item were all in agreement with the reference samples (Kappa = 1), and the diagnostic capability was identified excellent. The results of indirect hemagglutination assay of 426 serum samples from 4 grassroots laboratories were re-examined, and the mean coincidence rate was 94.13% (range, 92.08% to 96.25%) with the grassroots laboratories, with a mean Kappa value of 0.85 (range, 0.83 to 0.86) and a mean missing rate of 10.19% (range, 0 to 17.65%). Conclusions The schistosomiasis diagnostic reference laboratory has been successfully established and effectively operated in Jiangsu Province, which plays an active role in improving the capability of schistosomiasis diagnostic equality in the province.
ABSTRACT
Objective To understand the status of grass-roots schistosomiasis control professionals in Jiangsu Province, so as to provide scientific evidence for the rational resource allocation and the improvement of capability building. Methods A cross-sectional survey was conducted by telephone interview and e-mail among city- and county-level disease prevention and control institutions that undertook schistosomiasis control activities in Jiangsu Province, and the age, educational background, major, duration of working, professional title and professional capability were descriptively analyzed. Results There were totally 274 fulltime schistosomiasis control professionals working at grass-roots institutions in Jiangsu Province, with a mean age of (43.19 ± 9.47) years. The least professionals were below 30 years of age (12.77%, 35/274), and the most professionals were aged from 41 to 50 years (36.86%, 101/274). Among the 274 professionals, 43.07% (118/274) had duration of working of less than 10 years, 62.04% (170/274) had a bachelor degree, and 40.88% (112/274) had the medium-level professional title. Conclusions A schistosomiasis control team with a relatively high academic degree and professional title has been built at the grassroot level in Jiangsu Province. However, capability building remains to be improved through the participation of more young professionals and professional training with adaptation to local conditions.