Schistosomiasis is a major public health concern in the world, and precision control is crucial to combating this disease. Due to the complex and diverse transmission route of schistosomiasis, conventional statistical models have significant limitations for precision control of schistosomiasis. As an important branch of artificial intelligence, machine learning has shown remarkable advantages in schistosomiasis control and research. It has been shown that machine learning is highly effective for disease prediction and risk assessment, so as to optimize the disease control strategy and resource allocation and achieve the precision control target. This review summarizes the characteristics of machine learning models and their applications in the research of intermediate host snails and schistosomiasis.

The rapid development of artificial intelligence poses a huge impact on health and has become a core driving force for the new generation of the scientific and technological revolution in the field of healthcare. Recently, artificial intelligence has been gradually applied in the field of parasitic diseases and parasitology, including disease diagnosis, prognosis prediction, prediction of transmission risk, intelligent identification of vectors and intermediate hosts, and disease prevention and control, which facilitates the progress towards elimination of parasitic diseases. In addition, artificial intelligence provides highly efficient tools and approaches for healthcare workers and researchers. This comment mainly reviews the application of artificial intelligence in the fields of parasitic diseases and parasitology.

Objective:To explore the spatial and temporal distribution patterns of emerging snail-infested sites in different environmental types in Yunnan Province.Methods:The data of snail-infested sites in Yunnan Province from 1950 to 2014 (from Yunnan Institute for Endemic Diseases Control and Prevention), were collected and sorted out, a spatial and temporal database on the distribution of emerging snail-infested sites were established, and the changes in the spatial and temporal distribution of emerging snail-infested sites in different environments types (ditches, tangerines, paddy fields, dry land, beaches and other environments) were studied by using spatial autocorrelation analysis and scanning statistics analysis.Results:From 1950 to 2014, the annual number of emerging snail-infested sites in Yunnan Province reached a peak (1 730) in 1955 and then showed a fluctuating downward trend. From 1993 to 2014, the number of emerging snail-infested sites remained below 100, and increased to 160 and 131, respectively, in 2004 and 2013. The longest mean duration of 43.85 years was recorded for the beaches environment for emerging snail-infested sites, followed by the paddy fields environment with a mean duration of 37.01 years, and the shortest mean duration of 20.44 years for the tangerines environment. Spatial autocorrelation analysis showed that there was a positive spatial correlation between the duration of emerging snail-infested sites of different environmental types (global Moran's I ranged from 0.43 to 0.64, P < 0.05). Scanning statistics analysis showed that emerging snail-infested sites of different environmental types had spatial and temporal aggregation ( P < 0.001), with 3- 6 clusters of statistically significant aggregation detected respectively. Conclusion:The emerging snail-infested sites in different environments types in Yunnan Province have spatial and temporal aggregation, and it is necessary to strengthen monitoring and prevention and control of the aggregation areas of different environment types to prevent further spread of the snail.

ObjectiveTo study the sexually transmitted infections （STIs） in pregnant women with non-local household registration in Xuhui District and analyze the risk factors for STIs. MethodsFrom April 2020 to March 2022， pregnant women with non-local household registration who received their first prenatal examination in a general hospital in Shanghai Xuhui District were selected to conduct a status survey of STIs. Logistic regression model was used to analyze the influencing factors of bacterial vaginitis and ureaplasma uaplasma infection. ResultsThe top three infection rates in the pregnant women were Ureaplasma urealyticum （13.2%）， bacterial vaginosis （9.8%） and mycotic vaginitis （4.7%）. Age between 25 and 35 years （aOR=0.53，95%CI： 0.28‒0.98） and monthly income ≥8 000 yuan （aOR=0.30，95%CI： 0.11‒0.82） were significantly correlated with ureaplasma uaplasma infection. Pregnancy number of 2 （aOR=4.95， 95%CI： 1.59‒15.46）， first sexual relationship occurred before marriage （aOR=2.83， 95%CI： 1.04‒7.74）， husband's alcoholism （aOR=3.83， 95%CI： 1.08‒13.56）， high school education （aOR=0.27， 95%CI： 0.08‒0.93）， and husband's travel history （aOR=0.30， 95%CI： 0.12‒0.79） were significantly correlated with bacterial vaginitis. ConclusionPregnant women with more gestation times， first sexual intercourse before marriage and husband with heavy drinking are more likely to be infected with bacterial vaginosis. Pregnant women with younger age and lower income are more likely to be infected with Ureaplasma urealyticum. Follow-up and monitoring should be strengthened in these groups.

Objective To optimize the culture and fermentation conditions of the Penicillium aurantiocandidum Z12 strain, a fungal strain with molluscicidal actions against Oncomelania hupensis, so as to provide the basis for the research and development of molluscicidal active substances from the P. aurantiocandidum Z12 strain and its fermentation broth and large-scale fermentation. Methods The carbon source, nitrogen source and mineral salts were identified in the optimal culture medium for the P. aurantiocandidum Z12 strain with a single-factor experiment to determine the best fermentation condition for the P. aurantiocandidum Z12 strain. Factors that significantly affected the growth of the P. aurantiocandidum Z12 strain were identified using the Plackett-Burman design, and the best range of each factor was determined using the steepest climb test. Response surface analyses of temperature, pH value, seeding amount and liquid-filling quantity were performed using the Box-Behnken design to create a regression model for fermentation of the P. aurantiocandidum Z12 strain to identify the optimal culture medium. Results Single-factor experiment preliminarily identified the best culture medium and conditions for the P. aurantiocandidum Z12 strain as follows: sucrose as the carbon source at approximately 20 g/L, tryptone as the nitrogen source at approximately 5 g/L, K₂HPO₄ as the mineral salt at approximately 5 g/L, initial pH at approximately 8, temperature at approximately 28 °C, seeding amount at approximately 6%, and liquid-filling quantity at approximately 50 mL/100 mL. Plackett-Burman design showed that factors that significantly affected the growth of the P. aurantiocandidum Z12 strain included temperature (t = −5.28, P < 0.05), seeding amount (t = 5.22, P < 0.05), pH (t = −4.30, P < 0.05) and liquid-filling quantity (t = −4.39, P < 0.05). Steepest climb test showed the highest mycelial growth at pH of 7.5, seeding amount of 8%, and liquid-filling quantity of 40 mL/100 mL, and this condition was selected as the central point of response surface analysis for the subsequent optimization of fermentation conditions. Response surface analyses using the Box-Behnken design showed that the optimal conditions for fermentation of the P. aurantiocandidum Z12 strain included sucrose at 15 g/L, tryptone at 5 g/L, K₂HPO₄ at 5 g/L, temperature at 28.2 °C, pH at 7.5, seeding amount at 10%, and liquid-filling quantity at 35.8 mL/100.0 mL, resulting in 0.132 g yield of the P. aurantiocandidum Z12 strain. Conclusion The optimal culture condition for the P. aurantiocandidum Z12 strain has been identified, and the optimized culture medium and fermentation condition may effectively improve the fermentation yield of the P. aurantiocandidum Z12 strain.

Objective: To describe the sickness absenteeism among primary and secondary school students in Jiading District and to analyze its correlation with the incidence of infectious diseases and associated lead or lag times, so as,to provide a scientific basis for the health and education departments to take measures. Methods: The regularity and symptom composition of school sickness absenteeism among primary and secondary school students in Jiading District from the 2010-2017 were described. The Joinpoint model was applied to analyze the changing trend of absenteeism. And the rate of school sickness absenteeism and incidences of 7 acute infectious diseases were compared through visual analysis. The time lagged correlation coefficients and Granger causality tests were applied to quantitatively analyze the correlation and lead/lag patterns. Results: The average rate of school sickness absenteeism among primary and secondary school students in Jiading District, Shanghai was 0.27%. Since the 2012 academic year, the overall rate of sickness absenteeism has been on the rise. Fever was the most common symptom of absenteeism (47.49%). The trend of sickness absenteeism rate was mainly consistent with the incidence of influenza, and showed a one way Granger causality. The maximum time lagged correlation coefficient was obtained in the second semester of the 2017 academic year with a value of 0.43 (95% CI =0.25-0.58). The maximum time lagged correlation coefficient between the rate of sickness absenteeism with fever and other respiratory symptoms and the incidence of influenza was also obtained in the second semester of the 2017 academic year and the maximum correlation coefficient was 0.50(95% CI =0.33-0.65). Conclusion The sickness absenteeism rate in primary and secondary school students is correlated to influenza incidence, and it has potential application value in supplementing early warning of influenza activities in the community.

Objective:To investigate the efficacy of arthroscopic reduction and double-tunnel button fixation in the treatment of fractures of the tibial intercondylar eminence in children.Methods:From January 2019 to June 2022, 8 children with fracture of the tibial intercondylar eminence were treated at Orthopedics Department, Shenzhen Children's Hospital with arthroscopic reduction and double-tunnel button fixation. They were 6 boys and 2 girls, with an age of (8.4±1.9) years. Injured sites: 4 left knees and 4 right knees. Their operation time, intraoperative blood loss, knee flexion and extension, and complications were recorded. Their Lysholm scores were compared between preoperation and the last follow-up.Results:The operation time was (161.9±57.9)min. All patients were followed up for (12.1±5.7) months. The intraoperative blood loss was 3.5 (1.0,4.3)mL. Their knee flexion was 145.0°±5.0° and extension 0.9°±1.2° after operation. All their incisions healed at one stage, with no postoperative infection or other complications. Their preoperative Lysholm score [(20.3±15.8) points (from 2 to 54 points)] increased significantly to (99.3±1.0) points (from 98 to 100 points) after operation ( P<0.05). Conclusions:Arthroscopic reduction and double-tunnel button fixation is effective for fractures of the tibial intercondylar eminence in children, leading to limited complications, limited bleeding and a low infection rate.

Objective To review the Naegleria fowleri and primary amoebic meningoencephalitis caused by the naegleria fowleri， so as to strengthen the public awareness of the disease and its prevention. Methods We reviewed the literatures and reports， and summarized the following information： epidemic status， life cycle and characteristics， environmental distribution and infection routes， pathogenesis and clinical manifestations， diagnosis and treatment， prevention and control measures. Results Primary amoeba meningoencephalitis is a water-borne disease caused by the Naegleria fowleri， which enters human body through the nose and arrives at the central nervous system through olfactory nerve， leading to hemorrhagic and necrotic meningitis. Although the disease is rare， it has a fatality rate of 95%. Most of the patients reported were healthy children or young adults who had nasal contact with water contaminated with Naegleria fowleri a week before symptoms appeared. At present， its pathology can be divided into contact mechanism and non-contact mechanism. In contact mechanism， the Naegleria fowleri relies on the phagocytosis of food cup on its surface and the release of cytolytic molecules that directly destroy host cells. In non-contact mechanism， the Naegleria fowleri has toxic effects by secreting proteins. The clinical symptoms are episodic， with an average time of five days from illness to death. At beginning， the symptoms may include headache， vomiting， fever and other influenza-like symptoms， followed by central nervous system symptoms， such as stiff neck， drowsiness， anorexia， fear and so on. Intravenous or intrathecal injection of amphotericin B is considered to be the basic treatment of this disease， which can be combined with other adjunct therapies such as ventricular shunt and cooling to reduce encephaledema. Conclusion Primary amoebic meningoencephalitis is a rare but highly fatal disease. We should strengthen the public awareness of the disease and its prevention， especially to avoid nasal contact with contaminated water. We should also strengthen scientific research， improve the level of diagnosis， and develop effective drugs to prevent the disease before it happens.

ObjectiveTo explore the positive predictive value （PPV） and false positive （FP） number of screening test in mass testing when the prevalence of infection is low. MethodsAssuming a population of 20 million with the prevalence of disease infection ranging from 0.1% to 5.0%， PPV， true positive （TP） and FP numbers were calculated under different scenarios of combination of sensitivity （99.0%， 99.5%， and 100.0%） with specificity （97.0%， 97.5%， 98.0%， 98.5%， 99.0%， 99.5%， and 99.9%）. ResultsFor low infection prevalence （≤5.0%）， specificity has a greater impact on PPV than sensitivity； with the decrease of infection prevalence， the increase in PPV elevates when the specificity increases. When the infection prevalence is >1.0%， the closer the specificity is to 99.9%， the closer the PPV is to 100.0%. However， when the infection prevalence is <1.0%， the maximum PPV is only about 90.0%. When the infection rate is 0.1%， a screening test with more than 99.0% sensitivity could detect about 20 thousand TP cases in a population of 20 million. Additionally， the FP and PPV are estimated to be 599 thousand and 3.2% if the specificity is 97.0%， and 20 thousand and 50.0% if the specificity is 99.9%. When the infection rate is 1.0%， a screening test with ≥99.0% sensitivity and ≥97.0% specificity could detect about 0.198‒0.200 million TP cases； and the number of FP decreases from 594 thousand to 20 thousand when the specificity increases from 97.0% to 99.9%. When the infection rate is 5.0%， a screening test with ≥99.0% sensitivity and ≥97.0% specificity could detect about 0.99‒1.00 million TP cases； and the number of FP decreases from 570 thousand to 19 thousand when the specificity increases from 97.0% to 99.9%. When the infection prevalence is ≤5.0% in a total population of 20 million， there are about 20，000 FP cases even if the sensitivity and specificity reach the maximum values of 100.0% and 99.9%， respectively. ConclusionWhen the population is large and the infection prevalence is low， in addition to improving the specificity of the screening test in mass testing， the problem of a large number of false positives cannot be ignored.

ObjectiveTo explore the changing trend of negative predictive value and number of false negatives in screening tests under the condition of low infection rate of infectious diseases. MethodsAssuming that the population is 20 million， to calculate the negative predictive value， numbers of true negatives and false negatives of the combination of different sensitivity （75.0%， 80.0%， 85.0%， 90.0%， 95.0%， 99.0%） and specificity （90.0%， 95.0%， 99.0%， 99.9%） when the disease infection rate of the population is 0.10%， 1.0% and 5.0% respectively. ResultsWhen the population infection rate is 0.1%， with the screening test sensitivity ≥75.0% and specificity ≥90.0%， the number of true negatives in 20 million people is about 17.98‒19.96 million. When the sensitivity is 75.0%， the negative predictive value is 99.972%‒99.975%， and the number of false negatives is 5 000； When the sensitivity increases to 99.0%， the negative predictive value is 99.999%， and the number of false negatives decreases to 200. When the population infection rate is 1.0%， a screening test with sensitivity ≥75.0% and specificity ≥90.0% can detect about 17.82‒19.78 million true negatives in 20 million population. When the sensitivity is 75.0%， the negative predictive value is 99.720%‒99.748%， and the number of false negatives is 50 000； When the sensitivity increases to 99.0%， the negative predictive value increases to 99.990%， and the number of false negatives decreases to 2 000. When the population infection rate is 5.0%， with sensitivity ≥75.0% and specificity ≥90.0%， the number of true negatives in 20 million people is about 17.10‒18.98 million； when the sensitivity is 75.0%， the negative predictive value is 98.559%‒98.700%， and the number of false negatives can reach 250 000； When the sensitivity is 99.0%， the negative predictive value increases to 99.942%‒99.947%， and the number of false negatives decreases to 10 000. The lower the infection rate of the population， the fewer false negatives will appear in the screening. ConclusionThe number of false negatives in large-scale screenings increases exponentially with the increase of infection rate. Screenings should be carried out as early as possible in a pandemic of infectious diseases， so as to control the spread of the pandemic as soon as possible.