77 research outputs found

    Wavelet power spectra of the age adjusted incidence for the five regions of the Netherlands.

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    <p>Color codes represent wavelet power and areas inside the black contour lines correspond to 95% confidence regions where the power is higher than the power of red noise with the same autocorrelation coefficient as the data. Transparent areas on the left and right hand sides of the plots represent the cone of influence, which is a region where edge effects are important. A cluster tree has been constructed (a) based on the dissimilarity matrix of the wavelets power spectra.</p

    Map of the Netherlands divided in five regions.

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    <p>Time series of age-adjusted incidence [x 100,000 per week] of unspecified pneumonia for the five regions of the Netherlands (b-f).</p

    Maps of seasonal age-adjusted incidence of unspecified pneumonia cases at municipality level.

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    <p>Black circles represent significant clusters (p<0.05) identified whilst imposing a 10% upper limit. The clusters are calculated by taking all the seasonal cases of the three years and the incidence is calculated by averaging over three years. The clusters in SaTScan have been adjusted by taking age class as covariate in the analysis.</p

    Maps of age adjusted incidence of unspecified pneumonia cases at municipality level for the years 2012, 2013 and 2014.

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    <p>Black circles represent significant clusters (p<0.05) identified whilst imposing a 10% upper limit and choosing a non-overlapping criterion. The clusters in Sat Scan have been adjusted by taking age classes as covariate in the analysis. The incidence intervals in the colorbar represent the quantiles of the pneumonia incidence in 2014.</p

    Maps of incidence of unspecified pneumonia cases at municipality level for the years 2012, 2013 and 2014.

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    <p>Black circles represent significant clusters (p<0.05) identified whilst imposing a 10% upper limit and choosing a non-overlapping criterion. The incidence intervals in the colorbar represent the quantiles of the pneumonia incidence in 2014.</p

    Domestic use of irrigation water in Punjab

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    The aim of this paper is to start a discussion regarding the unrecognized multiple uses of irrigation water, and future problems of accommodating basic water needs in irrigated areas. The paper is based on data from a field study currently being carried out, by the Health and Environment Program of the International Irrigation Management Institute, in the southern Punjab, Pakistan

    Time series of unspecified pneumonia (ICD-10 discharge diagnosis J18) hospitalisation cases plotted on a weekly basis.

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    <p>Time series of unspecified pneumonia (ICD-10 discharge diagnosis J18) hospitalisation cases plotted on a weekly basis.</p

    Integration of irrigation and rural drinking water

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    The fact that irrigation water is used for domestic purposes like washing and bathing is common knowledge. That irrigation water can be the only source for all domestic uses, including drinking is less known. The Southern Punjab in Pakistan is an area where irrigation water is the only source for all non-agricultural uses. This paper presents the results of a baseline study on drinking water quality in an irrigation setting in the southern Punjab and preliminary results of the second phase in which methods were tested to improve drinking water quality

    Results of univariable analysis of risk factors for presence of antibodies against <i>Coxiella burnetii</i>.

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    #<p>Sera were screened for phase I and phase II IgG using a cut-off of 1∶32. Samples with both IgG phase I and II ≥1∶32 were considered to be positive, while solitary IgG phase II samples were scored positive if they had a single titre of ≥1∶512 (Focus Diagnostics, Cypress, CA).</p
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