Urban population in Cameroon was reported at 54.94% in 2016, according to the World Bank collection of development indicators, compiled from officially recognised sources. Globally, today, 55 percent (%) of the world’s population lives in urban areas, a proportion that is expected to increase to 68% by 2050. However, this method needs to train the investigators on how to use the GPS.Īs the world population continues to grow, an increasing number of people are moving into cities with the hope of securing better living conditions, good quality of education and greater economic opportunities. It can then be used by researchers in low-incomes countries where funding for research is a challenge. The method proposed in this study was efficient and cost-effective when compared to the infield generation of a household inventory or Global Positioning System (GPS) tracking of households. This method resulted in an accuracy level of 72%, its advantage is the ability to generate efficient random sample at relatively low cost as well the time required. In addition, 30 sampled households (14.85%) were abandoned or the occupants had relocated elsewhere. Out of 202 households visited, only 4 were found to be something other than a house. 202 grids considered here as households were randomly selected from the ten neighbourhoods for interviews. A grid of 30 m × 30 m was drawn over each and then numbered. Ten shapes were randomly draw and the one selected were considered as ‘neighbourhoods’. A lot of different kinds of shapes of different sizes obtained were numbered. Then two numbers were randomly draw at a time and a line was drawn between those two numbers. A hundred numbered of points were put along the edges of an updated map of Maroua. MethodsĪ gridded map and random selection method was used to select households for interviews. This study aimed to test an alternative method using freely available aerial imagery. Getting a random household sample during a survey can be expensive and very difficult especially in urban area and non-specialist.
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