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We report on a novel approach to the analysis of suspended particulate data in a rural setting in southern Ontario.
The evaluation showed that the technical infrastructure that was used for collecting syndromic surveillance data in a rural part of central India functioned sufficiently well.
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This paper concerns the analysis of air quality data collected in a rural Ontario community, following local complaints concerning episodic dusty conditions to determine if the available data confirmed the occurrence of episodic peaks in particulate levels.
To develop and evaluate a simple tool, using data collected in a rural Chinese general practice, to identify those at high risk of Type 2 diabetes (T2DM) and prediabetes (PDM).
Our experience shows EDC to not only be viable, but desirable for data collection in a rural Sub-Saharan African setting, with each EDC system offering specific advantages and disadvantages.
This article draws on qualitative data collected in a rural district in Tanzania and addresses health workers' preferences and their perceptions and experiences of the differences in working conditions between the public sector health facilities versus the church-run health facilities and how these differences are evaluated in their choice of workplace.
Our approach used electronic proximity sensors to collect social contact data from households in a rural setting.
Data were collected in a rural catchment area in southern Germany.
We apply the logistic regression approach to indicate the risk of death or hospital admission secondary to malnutrition, using a recent data set collected in a rural hospital in Kenya.
In conclusion, data from a rural hospital at Zagnanado show that BU is highly endemic in southern Benin.
The efficacy of the method is demonstrated using data from a rural watershed in Alberta, Canada.
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CEO of Professional Science Editing for Scientists @ prosciediting.com