Visualize Madagascar Baseline Survey Data
Health In Harmony
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Health In Harmony conducted a baseline census survey in November of 2019 in the communities around Monombo National Park. Questions were asked about the health status of communities, their use of the forest, and their economic well-being. We contracted a Malagasi data company to do the survey which included an analysis. However, the data has been presented only in long tables which is not easy to visualize and difficult to present to our donors. Beautiful visualization and some additional analyses would be amazing.
Project scope (as of July 31, 2020, 5:52 p.m.)
Project goal(s)
1) Visualization of all the analyses that have already been conducted. 2) Joint determination of any addtiional analyses that would be ideal to have such as village-level analyses for variability in water access. 3) Comparison for key questions such as infant mortality and immunization rates to national-level statistics and finding ways to visualize those as well.
Interventions and Actions
1) Data visualization 2) Data analysis
Data
Census survey of 1321 households in about 30 villages. There are 65 questions on health, livelihoods, attitudes about the forest, and use of the forest. The data has been cleaned and was electronically entered at the time of collection. We will ask that volunteers sign a data agreement about not sharing data without permission.
Analysis Needed
Most of the analyses have already been done. For some questions it would just be useful to have a breakdown by village.
Validation Methodology
None.
Implementation
The sooner these visualizations are available the better as they will immediately go into grant applications, grant reports, and will be used to seek further donors. The team in Madagascar will also use the data to refine the overarching solutions that the communities asked for. For example, knowing the baseline use of birth control and which methodologies are preferred will help our midwives make sure the most desired options are available. We do currently have this data, it's just unwieldily and difficult to quickly explain to the field staff and I am certain if they could see it, they would come up with solutions that the management team had not thought of.