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  • Journal article
    Lu D-B, Wang T-P, Rudge JW, Donnelly CA, Fang G-R, Webster JPet al., 2010,

    Contrasting reservoirs for <i>Schistosoma japonicum</i> between marshland and hilly regions in Anhui, China - a two-year longitudinal parasitological survey

    , PARASITOLOGY, Vol: 137, Pages: 99-110, ISSN: 0031-1820
  • Journal article
    Riley S, 2010,

    Coping without farm location data during a foot-and-mouth outbreak.

    , Proc Natl Acad Sci USA, Vol: 107, Pages: 957-958
  • Book chapter
    Baggaley RF, Petersen ML, Soares MA, Boily M-C, Bastos FIet al., 2010,

    Human Immunodeficiency Virus: Resistance to Antiretroviral Drugs in Developing Countries

    , ANTIMICROBIAL RESISTANCE IN DEVELOPING COUNTRIES, Editors: Sosa, Byarugaba, AmabileCuevas, Hsueh, Kariuki, Okeke, Publisher: SPRINGER, Pages: 75-94, ISBN: 978-0-387-89369-3
  • Journal article
    Hauck K, Hollingsworth B, 2010,

    The impact of severe obesity on hospital length of stay

    , Medical Care, Vol: 48, Pages: 335-340

    Background: The excess health care costs caused by obesity are a concern in many countries, yet little is known about the additional resources required to treat obese patients in hospitals.Objective: To estimate differences in hospital resource use, measured by length of stay, between severely obese and other patients, conditioning on a range of patient and hospital characteristics.Research Design: Administrative patient-level hospital data for 122 Australian public hospitals over the financial year 2005/06 (Victorian Admitted Episodes Data).Subjects: Episodes (435,147) for patients above 17 years of age and with a stay of one night or more.Measures: Quantile Regression analysis is used to generate 19 estimates of the difference between severely obese and other patients across the whole range of length of stay, from very short to very long staying patients. Separate estimates for 17 hospital specialties and for medically and surgically treated patients are generated.Results: There are significant differences in average length of stay for almost all specialties. For some, differences are less than 1 day, but for others, severely obese patients stay up to 4 days longer. For a number of specialties, obese patients have significantly shorter length of stay. Overall, medically managed obese patients stay longer, whereas surgically treated patients stay shorter than other patients. Differences tend to increase with length of stay.Conclusions: Differences in length of stay may arise because severely obese patients are medically more complex. The observed shorter stays for obese patients in some specialties may result from their observed greater likelihood of being transferred to another hospital.(C) 2010 Lippincott Williams & Wilkins, Inc.

  • Book
    Churcher TS, Kaplan RM, Ardelli BF, Schwenkenbecher JM, Basanez M-G, Lammie PJet al., 2010,

    Mass Treatment of Parasitic Disease: Implications for the Development and Spread of Anthelmintic Resistance

    , Basel, Publisher: Karger Publishers, ISBN: 9783805593236

    There has been a dramatic increase in the use of mass drug administration to reduce the morbidity associated with helminth infections of humans, raising the likelihood that anthelmintic resistance may become a public health concern of the future. After highlighting the scope and magnitude of the chemotherapy-based helminth control programs presently in place, this chapter emphasizes the mechanisms of action of the main anthelmintic drugs in use and how resistance may develop. To date, the most established population-based mass drug administration campaigns have been against the filarial parasites which cause human on chocerciasis and lymphatic filariasis. The molecular and parasitological evidence suggesting the presence of drug resistance in human filarial parasites is reviewed and factors influencing the spread of drug resistant parasites are discussed, taking examples from veterinary helminths and the use of mathematical models. In particular, the public health impact of the development of resistance by soil-transmitted helminths, such as hookworm, is a real concern. Implications of the development of anthelmintic resistance are discussed in relation to existing control programs, emphasizing how their monitoring and evaluation is essential to prevent it becoming a major public health concern of the future.

  • Journal article
    Drake KA, Donnelly CA, Dawkins MS, 2010,

    Influence of rearing and lay risk factors on propensity for feather damage in laying hens

    , BRITISH POULTRY SCIENCE, Vol: 51, Pages: 725-733, ISSN: 0007-1668
  • Journal article
    Mangal TD, Paterson S, Fenton A, 2010,

    Effects of Snail Density on Growth, Reproduction and Survival of Biomphalaria alexandrina Exposed to Schistosoma mansoni.

    , J Parasitol Res, Vol: 2010

    The effects of snail density on Biomphalaria alexandrina parasitized with Schistosoma mansoni were investigated. Laboratory experiments were used to quantify the impact of high density on snail growth, fecundity, and survival. Density-dependent birth rates of snails were determined to inform mathematical models, which, until now, have assumed a linear relationship between density and fecundity. The experiments show that the rate of egg-laying followed a negative exponential distribution with increasing density and this was significantly affected by exposure to parasitic infection. High density also affected the weight of snails and survival to a greater degree than exposure to parasitic infection. Although snail growth rates were initially constrained by high density, they retained the potential for growth suggesting a reversible density-dependent mechanism. These experimental data can be used to parameterise models and confirm that snail populations are regulated by nonlinear density-dependent mechanisms.

  • Journal article
    Nhamo M, Campbell C, Gregson S, 2010,

    Obstacles to local-level AIDS competence in rural Zimbabwe: putting HIV prevention in context

    , AIDS CARE-PSYCHOLOGICAL AND SOCIO-MEDICAL ASPECTS OF AIDS/HIV, Vol: 22, Pages: 1662-1669, ISSN: 0954-0121
  • Journal article
    Tsai M-T, Chern T-C, Chuang J-H, Hsueh C-W, Kuo H-S, Liau C-J, Riley S, Shen B-J, Shen C-H, Wang D-W, Hsu T-Set al., 2010,

    Efficient simulation of the spatial transmission dynamics of influenza.

    , PLoS ONE, Vol: 5, Pages: e13292-e13292
  • Journal article
    Tsai M-T, Chern T-C, Chuang J-H, Hsueh C-W, Kuo H-S, Liau C-J, Riley S, Shen B-J, Wang D-W, Shen C-H, Hsu T-Set al., 2010,

    Efficient simulation of the spatial transmission dynamics of influenza.

    , PLoS Curr, Pages: RRN1141-RRN1141

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