Literature DB >> 8225750

The dot map as an epidemiological tool: a case study of Schistosoma mansoni infection in an urban setting.

M L Barreto1.   

Abstract

In this paper dot maps are used as an epidemiological tool to describe the spatial patterns of cases, non-cases and some relevant risk factors associated with the occurrence of Schistosoma mansoni infection in an urban environment. The study was carried out in Santo Antonio de Jesus, a town in north-east Brazil with a population of around 45,000 inhabitants. The survey was targeted at all children aged between 12 years 8 months and 14 years 11 months who were living in the town at the time of the survey. An extensive questionnaire was used to collect information on each child and on family and household conditions; stool samples were also taken for quantitative examination. A computerized digitizer was used on a map (scale 1:4000) to create x and y coordinates for each child's household. The result was matched with individual data from the questionnaires and the stool examination. From this data base it was possible, by using a statistical package, to make epidemiological analyses and by using the statistical package associated with a geocartographic system package it was possible to dot plot selected values of defined variables. These techniques substantiated the findings on the risk factors at a local level and, as a consequence, improve our ability to define targeted actions towards local control of schistosomiasis.

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Year:  1993        PMID: 8225750     DOI: 10.1093/ije/22.4.731

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  3 in total

1.  Computer-generated dot maps as an epidemiologic tool: investigating an outbreak of toxoplasmosis.

Authors:  S B Eng; D H Werker; A S King; S A Marion; A Bell; J L Issac-Renton; G S Irwin; W R Bowie
Journal:  Emerg Infect Dis       Date:  1999 Nov-Dec       Impact factor: 6.883

2.  Probability Mapping to Determine the Spatial Risk Pattern of Acute Gastroenteritis in Coimbatore District, India, Using Geographic Information Systems (GIS).

Authors:  Pawlin Vasanthi Joseph; Brindha Balan; Vidhyalakshmi Rajendran; Devi Marimuthu Prashanthi; Balasubramanian Somnathan
Journal:  Indian J Community Med       Date:  2015 Jul-Sep

3.  Communicating infectious disease prevalence through graphics: Results from an international survey.

Authors:  Angela Fagerlin; Thomas S Valley; Aaron M Scherer; Megan Knaus; Enny Das; Brian J Zikmund-Fisher
Journal:  Vaccine       Date:  2017-06-12       Impact factor: 3.641

  3 in total

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