dhis2-devs-core team mailing list archive

[Halvdan Grelland <halvdanhg@xxxxxxxxx>]

Very cool!

2015-07-07 8:39 GMT+02:00 Lars Helge Øverland <larshelge@xxxxxxxxx>:

> Hi,
>
> quick summary from California trip. Jan and I went on a 3 day "expert
> meeting" at google. First part was training on the earth engine platform
> <https://earthengine.google.org/#intro>. This is a cloud computational
> platform that makes available a ton of satellite images e.g. from the
> landsat <http://landsat.gsfc.nasa.gov/> program and allows you to do
> analysis like reducing, aggregating, filtering and combining multiple
> images into layers on google data centers. Lots of researches from US and
> European agencies and universities that made presentations on how they use
> it.
>
> Second part was a discussions around how this engine could be more useful
> for researches and "tool makers". Google has committed to using 1% of their
> resources for "good". So far the earth engine has been used mostly for
> forestry / deforestation. They now want to apply it within health. The most
> typical use-case seems to be mapping of risk of malaria and other epidemic
> prone diseases. We met engineers from the Google maps, earth, earth engine
> teams who wanted feedback on which features would be useful in the health
> domain. We also got to present - it was cool to present DHIS 2 in the
> middle of Googleplex ;)
>
> In our group there was people from health metrics and evaluation
> <http://www.healthdata.org/>, UCSF <https://www.ucsf.edu/>, Gates found,
> CHAI, Oxford uni, RTI, Carter center
> <http://www.cartercenter.org/index.html>, Uni of Pittsburgh
> <http://www.pitt.edu/>. There was actually lots of talk of DHIS 2, many
> people knew about it and it seems Google might develop a DHIS 2-compatible
> import tool for the earth engine.
>
> Last day we met with Hugh Sturrock, Adam Bennet, Roly Gosling at UCSF
> (very nice people). We will now work together on an app for mapping of
> malaria risk, probably in zim. The idea is interesting - it will detect
> malaria risk based on rainfall, elevation, vegetation, moisture (this data
> can be derived from satellite images or come from other data sets in the
> earth engine), then overlay it with household visit data collected using
> the new DHIS 2 tracker android app (data on house spraying, bednets,
> prophylaxis). This should tell you exactly which areas are at risk, which
> houses have not yet been sprayed in last x months, and hence where you need
> to go next. UCSF will hire vizzuality <http://www.vizzuality.com/> to do
> the app coding. This means we need to feed data into earth engine so google
> will support on that end. Jan and I have discussed to integrate earth
> engine satellite images directly as a layer in GIS as well.
>
> There is still an "if" in that UCSF must get their funding request
> approved by gates, but otherwise this looks pretty promising.
>
> Lars
>
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