Asymptotic Analysis of a Stochastic Model of Mosquito-Borne Disease with the Use of Insecticides and Bet Nets

Ross’ epidemic model describing the transmission of malaria uses two classes of infection, one for humans and one for mosquitoes. This paper presents a stochastic extension of a deterministic vector-borne epidemic model based only on the class of human infectious. The consistency of the model is established by proving that the stochastic delay differential equation describing the model has a unique positive global solution. The extinction of the disease is studied through the analysis of the stability of the disease-free equilibrium state and the persistence of the model. Finally, we introduce some numerical simulations to illustrate the obtained results.

Effect of Rice Sowing Date on Occurrence of Small Brown Planthopper and Epidemics of Planthopper-Transmitted Rice Stripe Viral Disease

To understand the relationship between rice sowing date and occurrence of the rice small brown planthopper （SBPH） Laodelphax striatellus Fallen and the epidemics of the planthopper-transmitted rice stripe viral （RSV） disease, four sowing dates of rice were evaluated in 2006 and 2007. The results showed that the peak density of SBPH and RSV incidence in the nursery and in the transplanted field decreased with the delay of sowing date in single crop of japonica rice in north Zhejiang Province of China. The relationship between seedling RSV incidence at the end of the nursery trial with sowing date was well described by Weibull equation. The area under the curve of population dynamics （AUCPD or planthopper-day accumulation） or the peak density of the planthopper in the nursery could be summarized by a logistic equation. RSV incidence in the transplanted fields could be characterized quantitatively by a multivariate regression equation, including the variables of sowing date, peak density of the vector, and RSV incidence at the end of the nursery trial. That the descriptive model excluded the AUCPD in transplanted field implies that this variable is not necessary in forecasting disease epidemics in the field. The 2-year experiments sufficiently indicated that suitable sowing of rice could be used as one of the effective measures to control the vector population and therefore the planthopper-transmitted RSV on a larger scale. The optimal sowing date for the single-cropped transplanted japonica rice is recommended from late May to early June in north Zhejiang, China.

Studies on pathogen of explosive epidemic disease of shrimp Ⅱ. Purification of pathogen

The pathogen of explosive epidemio disease of farmed Chinese shrimp (Penaeus chinensis ) was isolated and purified from the cephalothorax and hepatopancreas of diseased shrimps by means of different speeds of centrifugation and sucrose gradient ultracentrifugation. The results showed that same virus isolated from the diseased shrimps in various regions of China was a kind of baculovirus covered with envelope, which was 95 ~ 125 nm in diameter and 360 ~410 nm in length. The size of the capsid was 80 ~ 90 nm × 330 ~ 350 nm. The nucleic acid of the virus was demonstrated as DNA. The result of artificial infection demonstrated that the virus was the pathogen of explosive epidemic disease of farmed Chinese shrimp.

Occurrence and Epidemic Dynamics and Accurate Prevention and Control of Important Sugarcane Pests and Diseases in the Sugarcane Areas of Yunnan

Based on investigation and research, according to the current actual production of sugarcane, the occurrence dynamics and outbreak causes of important pests and diseases that seriously affect sugarcane production were summarized, and accurate and efficient green prevention and control technology was put forward according to the occurrence and damage characteristics of important pests and diseases, such as strengthening sugarcane introduction and quarantine, breeding and selecting varieties resistant to diseases and pests, promoting the use of detoxified healthy seedlings vigorously, applying lamp trapping technology on a large scale, scientifically guiding and promoting biological prevention and control technology, practically promoting the precise and efficient application of slow-release long- acting and low toxic pesticides, strengthening field management, spraying pesticides in time at the early stage of a disease, and doing a good job of monitoring and emergency prevention and control of sudden pests.

A Computer Software-Epitimulator~ for Simulating Temporal Dynamics of Plant Disease Epidemic Progress

The objective of the present study was to develop a computer software for simulating the temporal development of plant disease epidemics using Richards, logistic, Gompertz, monomolecular, and exponential functions, respectively, and for predicting disease with a fitted model. The software was programmed using Visual Basic （VB6.0） and packaged with the Wise Installation System. The Fibonacci （＇0.618＇） section strategy was used to find out the most appropriate value for the shape parameter （m） in Richards function simulation through looping procedures. The software program was repeatedly tested, debugged and edited until it was run through favorably and produced ideal outputs. It was named Epitimulator based on the phrase ＇epidemic time simulator＇ and has been registered by the National Copyright Department of China （Reg. no. 2007SR18489）. It can be installed and run on personal computers with all versions of Windows operational systems. Data of disease index and survey time are keyed in or imported from Access files. The output of fitted models and related data of parameters can be pasted into Microsoft Excel worksheet or into Word document for editing as required and the simulated disease progress curves can be stored in separate graphic files. After being finally tested and completed, Epitimulator was applied to simulate the epidemic progress of corn northern leaf blight （Exserohilum turcicum） with recorded data from field surveys of corn crops and the fitted models were output. Comparison of the simulation results showed that the disease progress was always best described by Richards function, which resulted in the most accurate simulation model. Result also showed that forecast of northern leaf blight development was highly accurate by using the computed progress model from Richards function.

Discussing the Dietary Regimen and Disease Prevention and its Application as an Anti‑epidemic Measure

This article discusses the role of dietary regimen in the traditional culture of Chinese medicine according to its origin.Dietary regimen is a technique that inherits the traditional culture of Chinese medicine.Through analysis of the characteristics of the dietary regimen and the discussion of the idea of disease prevention,the application of the dietary regimen in disease prevention is sought.Under the guidance of three key factors,the application of the dietary regimen in disease prevention is mainly manifested in two aspects.First,the dietary regimen can be used to guide the daily reasonable diet to maintain the human body in a balance of Yin and Yang,which could prevent the occurrence of diseases.Second,on the basis of minimizing health loss,it can be used for disease treatment,adjuvant treatment,and rehabilitation.Finally,taking preventive treatment as the guiding ideology,the application of a dietary regimen as an“anti‑epidemic”was briefly discussed.

Advances in Application of Biosensing Technology in Detection of Animal Epidemic Diseases

The development of rapid and sensitive detection technologies for animal epidemic diseases is very important to early diagnosis and disease control. Biosensing technology is a novel biological detection technology developed in recent years and has been listed as one of the five medical inspection technologies in the 21＂ century, which is considered as a rapid and effective technology for detection and diagnosis of animal epidemic diseases. In this paper, the latest research progresses on the application of biosensing technology in detection of bacterial infectious diseases, viral infectious diseases and parasitic diseases were summarized.

Response to Epidemic Disease in Ancient China and its Characteristics

This article introduces the history of epidemic diseases in China and analyzes its characteristics.It aims to explore the relationships between human beings and nature,nation and society,which enlightened us to understand and recognize the influence factors and historical logic behind the history.

The application of the “Treatment in Accordance with Three Categories of Etiologic Factors” theory in the prevention and treatment of epidemic diseases in traditional Chinese medicine since the Ming and Qing Dynasties

“Treatment in accordance with three categories of etiologic factors”(consideration of the climatic and seasonal conditions,environment and individual’s constitution in the treatment of diseases),that is,treatment following time,place and individual,is one of the basic principles followed by Chinese medicine in the clinical treatment of diseases.This paper analyzes the similarities and differences in traditional Chinese medicine treatment of patients with epidemic diseases in different regions and periods since the Ming(1368-1644 C.E.)and Qing(1636-1912 C.E.)Dynasties.In addition,the theory of epidemic disease prevention and control based on the application of“treatment in accordance with three categories of etiologic factors”was discussed to inspire and guide the prevention and treatment of COVID-19.

Epidemic Diseases and Chinese Medicine: Example of SARS and COVID-19: Part Two

Along with the legends about epidemic demons,China has developed over the centuries a medical approach to epidemic diseases based on the teachings of Hucng Di Nei Jing(《黄帝内经》Huangdi s Intermnal Classic),Nan Jing(《难经》Classic of Difficult Issues),and Shang Han Lun(《伤寒论》Treatise on Cold Damage).Other doctors and scientists participated in this evolution of knowledge,like Wang Shuhe(王叔和),Ge Hong(葛洪),Chao Yuanfang(巢元方),Sun Simiao(孙思邈),and Liu Wansu(刘完素).However,it was in the 17^th century,after the great break of the Song,Jin,and Yuan eras that an innovative spirit,Wu Youke(吴又可1582-1652)first foresaw the existence of microorganisms as we know them now.His Wen Yi Lun(《瘟疫论》Treatise on Pestilence)foreshadows an original approach to epidemic diseases,particularly emerging infectious diseases of the 21^st century.After them,traditional Chinese medicine developed a comprehensive method of diagnosing and treating of these diseases(Epidemic Diseases Theory瘟疫学说)within the School ofHeat Diseases(温病学派).In a third article,we will examine some applications in the treatment of the SARS 2003-2004 epidemic(非典型肺炎)and the current COVID-19(新型冠状病毒肺炎)pandemic.

A Review on Application and Development of General Prescriptions for Treating Epidemic Diseases in Traditional Chinese Medicine

In thousands of years'struggling against epidemic diseases,traditional Chinese medicine(TCM),with its unique and advantageous theories and methods,has protected prosperity of the Chinese nation,composing a brilliant chapter.There are many famous prescriptions and medicines for prevention and treatment of epidemic diseases in TCM.In view of characteristics of epidemic diseases,application of general prescriptions in fighting against epidemic diseases has its unique effects and advantages.Through combing and studying the application of TCM general prescriptions for treating epidemic diseases in different historical periods,summarizing experience and reflecting on lessons,this paper tries to define the concept of TCM general prescriptions for treating epidemic diseases,explore elements of their efficacy guarantee,analyze their advantages and limitations,as well as reveal their enlightenment significance and application prospects,or provide ideas and reference for clinical application.

Epidemic Diseases and Chinese Medicine:Example of SARS and COVID‑19:Part Two

Along with the legends about epidemic demons,China has developed over the centuries a medical approach to epidemic diseases based on the teachings of Huang Di Nei Jing(《黄帝内经》Huangdi’s Internal Classic),Nan Jing(《难经》Classic of Difficult Issues),and Shang Han Lun(《伤寒论》Treatise on Cold Damage).Other doctors and scientists participated in this evolution of knowledge,like Wang Shuhe(王叔和),Ge Hong(葛洪),Chao Yuanfang(巢元方),Sun Simiao(孙思邈),and Liu Wansu(刘完素).However,it was in the 17th century,after the great break of the Song,Jin,and Yuan eras that an innovative spirit,Wu Youke(吴又可1582–1652)first foresaw the existence of microorganisms as we know them now.His Wen Yi Lun(《瘟疫论》Treatise on Pestilence)foreshadows an original approach to epidemic diseases,particularly emerging infectious diseases of the 21st century.After them,traditional Chinese medicine developed a comprehensive method of diagnosing and treating of these diseases(Epidemic Diseases Theory瘟疫学说)within the School of Heat Diseases(温病学派).In a third article,we will examine some applications in the treatment of the SARS 2003–2004 epidemic(非典型肺炎)and the current COVID-19(新型冠状病毒肺炎)pandemic.

Epidemiological Characteristics of Maize Rough Dwarf Disease in Huang-Huai-Hai Plain

Maize rough dwarf disease is a common epidemic disease in large areas.Its epidemic and occurrence mechanism is a complex process.In this paper,the epidemiological characteristics and influencing factors of maize rough dwarf disease in Huang-Huai-Hai plain were elaborated based on the research results of maize rough dwarf disease at home and abroad for many years.The epidemic of maize rough dwarf disease is affected by many factors,such as the occurrence and virus carrying rate of the first generation small brown planthopper,accumulation of virus sources on gramineous crops and weed hosts,maize variety resistance,maize sowing date,maize growth period,crop layout,tillage system,climate and ecological environment.The key factors causing the outbreak and epidemic of maize rough dwarf disease are the planting of maize susceptible varieties,the meeting of maize seedling stage and the peak period of adult spread of the first generation of small brown planthopper.

The role of endothelial biomarkers in predicting damp-heat syndrome in diabetic kidney disease

Objective:To explore the role of endothelial biomarkers in predicting damp-heat syndrome in diabetic kidney disease(DKD).Methods:A total of 183 patients with DKD were divided into 3 groups:the early DKD group,established DKD group,and advanced DKD group.All patients were classified according to traditional Chinese medicine(TCM)syndrome type,and clinical indexes were collected for statistical analysis.Results:A total of 183 DKD patients were included in this study.Fibroblast growth factor 23(FGF23),chitinase-3-like protein 1(CHI3L1),endocan,tumor necrosis factor receptor 1(TNFR1),secretory leukocyte protease inhibitor(SLPI),and vascular endothelial growth factor A(VEGF-A)were increased in advanced DKD.FGF23,CHI3L1,endocan,SLPI,and TNFR1 showed a negative correlation with estimated glomerular filtration rate(eGFR),while they had a positive correlation with 24 h urine protein.After adjusting for age,gender,diabetes duration,body mass index(BMI),hemoglobin,glucose,uric acid,24 h urine protein,cholesterol,triglyceride,low-density lipoprotein,and hemoglobin A1c(HbA1c),the multiple regression analysis showed that FGF23,endocan,TNFR1,and SLPI significantly correlated with eGFR.Conclusions:FGF23,endocan,TNFR1,and SLPI are elevated in advanced DKD compared with early stage,and they may take part in the pathogenesis and progression of DKD.Our study provides useful biomarkers for predicting the appearance of damp-heat syndrome,including FGF23,endocan,TNFR1,and SLPI.

Clinical Efficacy of Western Medicine Combined with Chinese Medicine for Pelvic Inflammatory Disease(Damp-Heat and Stasis Type)

Objective:This study was undertaken to evaluate the clinical efficacy of Western medicine combined with Chinese medicine for pelvic inflammatory disease(damp-heat and stasis type).Methods:Seventy-four patients who were diagnosed with pelvic inflammatory disease(damp-heat and stasis type)by our hospital during July 2021 to July 2022 were randomized into two groups:the participants in the control group received conventional Western medicine treatment,and the participants in the study group received Western medicine combined with Chinese medicine.Results:After treatment,the total effectiveness of the control group(72.98%)was significantly lower than that of the study group(94.59%),(P<0.05);the whole blood viscosity high cut,whole blood viscosity low cut,fibrinogen and plasma viscosity of the control group were all lower than those of the study group(P<0.05);the levels of CRP,IL-6,and TNF-αin the control group were higher and IL-2 levels in the control group were lower than those in the study group(P<0.05).Conclusion:Western medicine combined with Chinese medicine is more effective in curing damp-heat and stasis-type pelvic inflammatory disease by improving the blood rheological indexes and lowering the level of inflammatory factors.

Using Interrupted Time Series Design to Analyze Changes in Hand, Foot, and Mouth Disease Incidence during the Declining Incidence Periods of 2008-2010 in China

Objective To identify patterns of hand, foot and mouth disease （HFMD） incidence in China during declining incidence periods of 2008, 2009, and 2010. Methods Reported HFMD cases over a period of 25 months were extracted from the National Disease Reporting System （NDRS） and analyzed. An interrupted time series （ITS） technique was used to detect changes in HFMD incidence rates in terms of level and slope between declining incidence periods of the three years. Results Over 3.58 million HFMD cases younger than 5 years were reported to the NDRS between May 1, 2008, and May 31, 2011. Males comprised 63.4% of the cases. ITS analyses demonstrated a significant increase in incidence rate level （P〈0.0001） when comparing the current period with the previous period. There were significant changes in declining slopes when comparing 2010 to 2009, and 2010 to 2008 （all P〈O.O05）, but not 2009 to 2008. Conclusion Incremental changes in incidence rate level during the declining incidence periods of 2009 and 2010 can potentially be attributed to a few factors. The more steeply declining slope in 2010 compared with previous years could be ascribed to the implementation of more effective interventions and preventive strategies in 2010. Further investigation is required to examine this possibility.

Impact of diabetes mellitus on risk of cardiovascular disease and all-cause mortality: Evidence on health outcomes and antidiabetic treatment in United States adults

AIMTo examine the epidemic of diabetes mellitus (DM) and its impact on mortality from all-cause and cardiovascular disease (CVD), and to test the effect of antidiabetic therapy on the mortality in United States adults. METHODS The analysis included a randomized population sample of 272149 subjects ages ≥ 18 years who participated in the National Health Interview Surveys (NHIS) in2000-2009. Chronic conditions (hypertension, DM and CVD) were classified by participants’ self-reports of physician diagnosis. NHIS-Mortality Linked Files, and NHIS-Medical Expenditure Panel Survey Linkage Fileson prescribed medicines for patients with DM were used to test the research questions. χ 2, Poisson and Cox’s regression models were applied in data analysis.RESULTS Of all participants, 22305 (8.2%) had DM. The prevalence of DM significantly increased from 2000 to 2009 in all age groups (P < 0.001). Within an average 7.39 (SD= 3) years of follow-up, male DM patients had 1.56 times higher risk of death from all-cause (HR = 1.56, 95%CI:1.49-1.64), 1.72 times higher from heart disease [1.72 (1.53-1.93)], 1.48 times higher from cerebrovascular disease [1.48 (1.18-1.85)], and 1.67 times higher from CVD [1.67 (1.51-1.86)] than subjects without DM,respectively. Similar results were observed in females. In males, 10% of DM patients did not use any antidiabetic medications, 38.1% used antidiabetic monotherapy, and 51.9% used ≥ 2 antidiabetic medications. These corresponding values were 10.3%, 40.4% and 49.4% in females. A significant protective effect of metformin monotherapy or combination therapy (except for insulin) on all-cause mortality and a protective but non-significant effect on CVD mortality were observed. CONCLUSION This is the first study using data from multiple linkage files to confirm a significant increased prevalence of DM in the last decade in the United States. Patients with DM have significantly higher risk of death from all-cause and CVD than those without DM. Antidiabetic mediations,specifically for metformin use, show a protective effect against all-cause and CVD mortalities.

ANALYSIS OF AN SI EPIDEMIC MODEL WITH NONLINEAR TRANSMISSION AND STAGE STRUCTURE

A disease transmission model of SI type with stage structure is formulated. The stability of disease free equilibrium, the existence and uniqueness of an endemic equilibrium, the existence of a global attractor are investigated.

Epidemic spreading on networks with vaccination

In this paper, a new susceptible-infected-susceptible （SIS） model on complex networks with imperfect vaccination is proposed. Two types of epidemic spreading patterns （the recovered individuals have or have not immunity） on scale-free networks are discussed. Both theoretical and numerical analyses are presented. The epidemic thresholds related to the vaccination rate, the vaccination-invalid rate and the vaccination success rate on scale-free networks are demonstrated, showing different results from the reported observations. This reveals that whether or not the epidemic can spread over a network under vaccination control is determined not only by the network structure but also by the medicine＇s effective duration. Moreover, for a given infective rate, the proportion of individuals to vaccinate can be calculated theoretically for the case that the recovered nodes have immunity. Finally, simulated results are presented to show how to control the disease prevalence.