ABSTRACT
@#The spatial distribution of environmental conditions may influence the dynamics of vectorborne diseases like leptospirosis. This study aims to investigate the global and localised relationships between leptospirosis with selected environmental variables. The association between environmental variables and the spatial density of geocoded leptospirosis cases was determined using global Poisson regression (GPR) and geographically weighted Poisson regression (GWPR). A higher prevalence of leptospirosis was detected in areas with higher water vapour pressure (exp(â): 1.12; 95% CI: 1.02 - 1.25) and annual precipitation (exp(â): 1.15; 95% CI: 1.02 - 1.31), with lower precipitation in the driest month (exp(â): 0.85; 95% CI: 0.75 – 0.96) and the wettest quarter (exp(â): 0.88; 95% CI: 0.77 – 1.00). Water vapor pressure (WVP) varied the most in the hotspot regions with a standard deviation of 0.62 (LQ: 0.15; UQ; 0.99) while the least variation was observed in annual precipitation (ANNP) with a standard deviation of 0.14 (LQ: 0.11; UQ; 0.30). The reduction in AICc value from 519.73 to 443.49 indicates that the GWPR model is able to identify the spatially varying correlation between leptospirosis and selected environmental variables. The results of the localised relationships in this study could be used to formulate spatially targeted interventions. This would be particularly useful in localities with a strong environmental or socio-demographical determinants for the transmission of leptospirosis.
ABSTRACT
Yinshan Mountains stands on the southern edge of the Inner Mongolia Plateau, which stretches 1 200 km from east to west and 50 to 100 km from north to south. The rich and varied topographic environment of the Yinshan Mountains has created a variety of vegetation floras, which also makes the species of medicinal plant resources in this area unevenly distributed. Therefore, studying the spatial distribution difference of medicinal plant resources among various banners, counties, and districts in the Yinshan area is of great significance to formulate the protection policy and promote the industry development of medicinal plant. This study is based on the fourth national survey of traditional Chinese medicine resources in Inner Mongolia, regarding the results of the third national survey of traditional Chinese medicine resources. The species of medicinal plant resources in the Yinshan area around 31 banners, counties and districts were counted in detail. Then, using exploratory spatial data analysis(ESDA), trend surface analysis, spatial autocorrelation, geographical detector and other geostatistical analysis methods to analyze the differences in the spatial distribution of medicinal plant resources of the Yinshan area in Inner Mongolia. After discussing and analyzing the experimental results to account for the reasons for the overall trend of change and the degree of aggregation, the author further put forward relevant constructive suggestions. The results show that the areas with the most abundant and concentrated distribution of medicinal plant resources in the Yinshan area are located in Guyang county, Shiguai District of Baotou city, Tutou right banner, and Tuoketuo county; the higher richness and concentrated distribution of medicinal plant resources is in Wulate front banner, Wulate middle banner, Wulate back banner; areas with relatively low abundance and concentrated distribution of medicinal plant resources located in Qingshan district of Baotou city, Saihan district and Yuquan district of Hohhot city; areas with the lowest abundance and concentrated distribution of medicinal plant resources are located in Xincheng district and Huimin district of Hohhot city. It can be concluded that the horizontal distribution difference of multiple ecological factors, the special wetland environment of the river, the vertical difference of elevation, the farmland and other factors have an important influence on the richness of the medicinal plant resources species.
Subject(s)
China , Medicine, Chinese Traditional , Plants, MedicinalABSTRACT
The differences in the spatial distribution of regional Chinese material medicine resources between regions are determined by differences in natural conditions and social resources among different regions. Spatiotemporal evolution of the distribution of Chinese material medicine resources is a manifestation of the development process of Chinese medicine industry in time and space. The spatiotemporal evolution of the distribution of regional Chinese material medicine resources can reveal the regularity of spatial distribution of Chinese material medicine resources. County as the basic unit of the national material medicine resources census, the difference of resource endowment is of great significance to the rational development of Chinese material medicine resources policy and the coordinated development of regional resources and environment. Based on the results of the pilot project of Jilin province, this study selected 51 counties that had completed the census of Chinese material medicine resources. According to the species of Chinese material medicine resources, we explored the diversity of Chinese material medicine resources in Jilin province by using statistical data analysis (ESDA), trend surface analysis and spatial variability function to analyze the spatial differences of Chinese material medicine resources. Chinese material medicine resources are distributed in the eastern and southeastern part of Jilin province, mostly in the Changbai Mountains. The species of Chinese material medicine resources tend to be low-value spatial aggregation; the overall cold spots are located in Changchun and Jilin city, near the administrative center, mostly urban built-up area. The rich areas of Chinese material medicine resources are rich in hot spots, mainly in broad-leaved forest. The low-abundance of Chinese material medicine resources is dominated by cultivated vegetation.
ABSTRACT
Abstract Brazilian spotted fever (BSF) is a fatal zoonosis because of the difficulties in its early diagnosis and treatment. Occurrences of BSF in the northeast of the state of Paraná prompted investigation of areas at risk of this rickettsiosis in the municipalities of Japira, Jaboti, Pinhalão and Tomazina. To determine the areas at risk, 592 serum samples from dogs and 230 from equids were analyzed by means of the indirect immunofluorescence assay (IFA) for Rickettsia rickettsii and R. parkeri . In addition, risk probability maps were drawn up using the kriging indicator technique. Among the samples tested, 5.3% (43/822) indicated presence of antibodies reactive to at least one of the two Rickettsia species tested: 7.8% of the equids (18/230) and 4.2% of the dogs (25/592) were positive. Geostatistical analysis showed that the average seropositivity rate was 5 to 6%. Although the average seropositivity rates observed among these dogs and equids were lower than those reported from endemic areas of Brazil, the biotic components (etiological agent, vector and reservoirs) and environmental aspects of BSF epidemiology were present in these municipalities.
Resumo A febre maculosa brasileira (FMB) é uma zoonose fatal devido às dificuldades para diagnosticá-la e tratá-la precocemente. A ocorrência de casos de FMB no Estado do Paraná suscitou a investigação de áreas de risco desta rickettsiose nos municípios de Japira, Jaboti, Pinhalão e Tomazina, na mesorregião norte pioneiro do Paraná. Para determinar as áreas de risco foram analisadas amostras de soro de 592 cães e 230 equídeos submetidos à reação de imunofluorescência indireta para Rickettsia rickettsii e R. parkeri. Além disto, foram construídos mapas de probabilidade de risco pela técnica de krigagem indicatriz. Das amostras testadas 5,3% (43/822) continham anticorpos para pelo menos uma das duas rickettsias testadas. Os equídeos apresentaram uma positividade de 7,8% (18/230) e os cães de 4,2% (25/592). A análise geoestatística mostrou que a soropositividade média é de 5 a 6%. Embora as soropositividade médias de cães e equídeos constatadas tenham sido menores do que as relatadas em áreas endêmicas do território brasileiro, os componentes bióticos (agente etiológico, vetor e reservatórios) e ambientais da epidemiologia da FMB se fazem presentes nos municípios referidos.