title: Modelling population growth on public water and sanitation facilities using GIS and statistics: a case study of Aboabo, Ghana.
abstract: BACKGROUND
  Effect of population increase on public water and sanitation facilities in densely populated area, Aboabo, Kumasi, Ghana.
  
  
  METHODS
  Town sheet maps, layout and population census data of Aboabo. GPS for observing spatial locations existing water and sanitation facilities and field verification exercise in the study. GIS for building geodatabase, digitization and Cartographic Visualization. Questionnaires were used to collect non-spatial information on the sanitation facilities and all public facilities.
  
  
  RESULTS
  GIS and a Statistical Approach have been respectively used to develop cartographic and mathematical models to analyse, predict and visualize the effect of population increase on public water and sewage facilities in densely populated area. The developed mathematical models correlates with the population at each instance to the required number of water accessible points or standing pipes as well as the number of required public toilet (sewage) facilities. The cartographic and mathematical models provides an efficient and effective means of mitigating diseases associated with water and sanitation; and informs planners and assembly members of the effects of increasing population on public facilities for proper future planning and geospatial decision making; and to ensure proper infrastructural management at the community levels.
  
  
  CONCLUSIONS
  Effective decision support systems for analysing, predicting and visualizing public water and sewage facilities in densely populated area. Draws the awareness of the government, concerned groups and non-Governmental Organizations (NGO's) to the extreme detrimental effect that the increase in population has, especially on public water and sewage facilities and how it can be managed at the community level.
authors.affiliation: Department of Geographic Information Science, School of Earth Science and Engineering, Hohai University, Nanjing, 210098, China. quayeballard.soe@knust.edu.gh
authors.forename: Jonathan Arthur
authors.initials: JA
authors.lastname: Quaye-Ballard
authors.forename: Ru
authors.initials: R
authors.lastname: An
mesh_terms: D040362:Geographic Information Systems; D005869:Ghana; D006801:Humans; D008962:Models, Theoretical; D011158:Population Growth; D011634:Public Health; D012189:Retrospective Studies; D012499:Sanitation / Q000592:standards*; D012722:Sewage / Q000706:statistics & numerical data; D014881:Water Supply / Q000706:statistics & numerical data*
chemical_list: D012722:Sewage