983 research outputs found
Climatic variables and transmission of malaria: a 12-year data analysis in Shuchen County, China
No full textOBJECTIVE: The objective of this study was to explore the impact of climate variability on the transmission of malaria, a vector-borne disease, in a county of China and provide suggestions to similar regions for disease prevention. METHODS: A time-series analysis was conducted using data on monthly climatic variables and monthly incidence of malaria in Shuchen County, China, for the period 1980-1991. RESULTS: Spearman's correlation analysis showed that monthly mean maximum and minimum temperatures, two measures of monthly mean relative humidity, and monthly amount of precipitation were positively correlated with the monthly incidence of malaria in the county. Regression analysis suggested that monthly mean minimum temperature and total monthly rainfall, with a one-month lagged effect, were significant climatic variables in the transmission of malaria in Shuchen County. Seasonality was also significant in the regression model and there was a declining secular trend in the incidence of malaria. CONCLUSION: The results indicate that climatic variables should be considered as possible predictors for regions with similar geographic, climatic, and socioeconomic conditions to those of Shuchen County.Peng Bi, Shilu Tong, Ken Donald, Kevin A Parton, Jinfa N
Climate variability and the Dengue outbreak in Townsville, Queensland, 1992-93
No full textAlthough Australia is free of local dengue transmission, there have been several outbreaks of dengue in Queensland since 1981 because of importation of dengue cases. This study was conducted on monthly time-series data of the dengue outbreak in Townsville in 1992 and 1993. It used graphic assessment, Spearman correlation, AutoRegressive Integrated Moving Average and Generalised Least Square regression analyses. The results showed that the annual mean minimum temperature in the outbreak years was 0.6°C higher than that in non-outbreak years. Monthly mean maximum and minimum temperatures, total amounts of precipitation and relative humidity four months earlier were significantly correlated with the monthly attack rate of the disease. The regression analysis suggested that monthly mean minimum temperature with a four-month lagged effect was the strongest climatic predictor of the dengue fever outbreak and indicated that it was important in dengue transmission. However, the relationship between climatic variables and dengue fever needs to be viewed within a wider context of other social and environmental factors, such as population growth, human behaviour, house conditions and vector control programs. Vigilance in control and prevention of dengue fever may need to be increased in Australia because of possible climate change with temperature increases.Bi, Peng , Shilu Tong, Ken Donald, Kevin A. Parton and Jack Hobb
El Nino southern oscillation and vector-borne diseases in Australia
No full text© Open Mind JournalsBi, Peng, Parton, Kevin A. and Donald, Ke
Data for: The Value of Seasonal Climate Forecasts for Australian Agriculture
No full textA file containing the values of seasonal climate forecasts used for Australian agriculture
El Nino-Southern oscillation and vector-borne diseases in Anhui, China
No full textThis paper examines the relationship between monthly Southern Oscillation Index (SOI) and monthly incidences of hemorrhagic fever with renal syndrome (HFRS) and malaria in Anhui Province, China, over the periods 1971-1992 and 1966-1987, respectively. On the basis of monthly data over a 22-year period, results indicated that there were positive and negative relationships, respectively, between the SOI and monthly incidences of malaria and HFRS. The results suggest that the SOI could be used as an index in the study of the association of climate variability with the transmission of such diseases, particularly over larger areas, such as at a provincial or even state level, where averaging rainfall or temperature data across regions is inappropriateP. Bi, K.A. Parton and S. Tonghttp://www.ncbi.nlm.nih.gov/pubmed/1601142
Climatic, reservoir and occupational variables and the transmission of haemorrhagic fever with renal syndrome in China
No full textBACKGROUND: Being a zoonosis, the transmission of haemorrhagic fever with renal syndrome (HFRS) is influenced by climatic, reservoir and occupational factors. This paper has quantified the incidence and potential risk factors of HFRS in Yingshang County, a low-lying epidemic focus of the disease in China. METHODS: Correlation and regression analyses were conducted among climatic variables, the density of mice, autumn crop production and annual incidence of HFRS during the autumn-winter seasons in the County over the period 1980-1996. Results Rainfall (r = -0.63, P = 0.009), the density of mice (r = 0.90, P = 0.000) and autumn crop production (r = 0.67, P = 0.01) were statistically correlated with the incidence of HFRS. Multiple regression analysis indicated that these factors are potential predictors for HFRS transmission. CONCLUSIONS: Rainfall, the density of mice and autumn crop production could be used as predictors of HFRS transmission in low-lying epidemic foci.Peng Bi, Shilu Tong, Ken Donald, Kevin Parton and Jinfa N
Parallelizations on products of spheres and octonionic geometry
No full textA classical theoremof Kervaire states that products of spheres are parallelizable if and only if at least one of the factors has odd dimension. Two explicit parallelizations on Sm × S2h−1 seem to be quite natural, and have been previously studied by the first named author in [32]. The present paper is devoted to the three choices G = G2, Spin(7), Spin(9) of G-structures on Sm × S2h−1, respectively with m + 2h − 1 = 7, 8, 16 and related with octonionic geometry
Almost complex structures on spheres
No full textIn this paper we review the well-known fact that the only spheres admitting an almost complex structure are S2 and S6. The proof described here uses characteristic classes and the Bott periodicity theorem in topological K-theory. This paper originates from the talk “Almost Complex Structures on Spheres” given by the second author at the MAM1 workshop “(Non)-existence of complex structures on S6”, held in Marburg from March 27th to March 30th, 2017. It is a review paper, and as such no result is intended to be original. We tried to produce a clear, motivated and as much as possible self-contained exposition. © 2017 Elsevier B.V
A parton branching with transverse momentum dependent splitting functions
No full textAbstract: Off-shell, transverse-momentum dependent splitting functions can be defined from the high-energy limit of partonic decay amplitudes. Based on these splitting functions, we construct Sudakov form factors and formulate a new parton branching algorithm. We present a first Monte Carlo implementation of the algorithm. We use the numerical results to verify explicitly momentum sum rules for TMD parton distributions. (C) 2022 The Author(s). Published by Elsevier B.V
A second update on double parton distributions
No full textAbstractWe present two equivalent consistency checks of the momentum sum rule for double parton distributions and show the importance of the inclusion of the so-called inhomogeneous term in order to preserve correct longitudinal momentum correlations. We further discuss in some detail the kinematics of the splitting at the basis of the inhomogeneous term and update the double parton distributions evolution equations at different virtualities
- …
