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.
These datasets contain Normalized Vegetation Index (NDVI) values from MODIS images aggregated at commune / Fokontany level to analyze vegetation cover. Data are available from 2000 to the present day, with a spatial resolution of 250m and a temporal resolution of 16 days, updated at a frequency of 16 days.
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Columns
comm_fktname of fokontany using standardized ‘new_commune’_’fokontany’ nomenclature
modis_ndvindvi values calculated from modis images
datedate in format: YYYY-MM corresponding to year and month