The Ifanadiana Geospatial Data Portal is a repository for data generated in multiple research
projects conducted by Pivot and IRD in Ifanadiana since 2018 to better understand health
care access and disease burdens in the district, including:
MAGIE – Mobile technologies for geographical access to care in Ifanadiana: The goal of this
project, funded by IRD (2018-2019), was to understand geographical access to primary care
and its determinants, via a large-scale mapping effort in Ifanadiana District through
OpenStreetMap that resulted in the mapping of over 100,000 buildings and 20,000 km of
footpaths.
SMALLER – Surveillance and control of malaria at the local level using e-health platforms:
The goal of this project, funded by ANR (2019-2025), was to develop statistical and
mathematical models of malaria transmission that will inform key features of program
implementation, helping to optimize surveillance and control strategies at the community
level. For this, we coupled for each community in the district of Ifanadiana (south-eastern
Madagascar), accurate epidemiological surveillance of malaria cases, high resolution satellite
environmental information, and longitudinal socio-economic and behavioural data. The
project piloted innovative and reliable malaria decision-making tools that were validated
locally and could be scaled-up to other rural areas.
AFRICAM – PREZODE in Action in the Global South, Madagascar project: The goal of this
project, funded by AFD (2023-2026), was to develop and strengthen surveillance capabilities
for priority zoonotic diseases such as Rift Valley Fever (and other vector-borne diseases),
pathogens with a wildlife origin (Hantaviruses and coronaviruses) and Rabies. For this, a
large consortium of academic, civil society and public institutions carried out activities to 1)
Better understand the risk of emerging zoonotic diseases and their determinants, 2) Reduce
zoonotic risks via participatory approaches, and 3) Strengthen zoonotic risk surveillance via
the development of community-based integrated surveillance systems.
Creation of this interface was funded by the AFRICAM project.
No data processing steps were taken. The original data does contain more disaggregation by age and gender and can be obtained by contacting Pivot’s Monitoring and Evaluation Team via the dataset author and/or maintainer email provided.
🔹 Usage Guide
Note that for some fokontany, these values are *very* different from the INSTAT values. Comparisons with the size of residential areas and the number of buildings derived from OpenStreetMap found that these values corresponded better with the external dataset than those derived from the INSTAT national census. For this reason, we believe this local dataset to be more accurate and often use it in the place of INSTAT census data for the 80 fokontany for which it is available. When extrapolating to other years