[OSGeo Africa] COVID-19 Geospatial Analysis
kevin.musungu at gmail.com
Wed May 20 03:12:53 PDT 2020
Such data is certainly useful. With sufficient data one can model spatial
growth with time. I think it may give an insight into areas that are most
vulnerable to pandemics especially when included with other data like
population density, housing types, proximity to health facilities,
sanitation, demographics etc. A lot of it is common sense but mapping it in
a GIS environment with multicriteria assessment can give alot of insight
into spatial vulnerability. The difficulty is usually in collating the
discrete datasets because they are often held by different organisations
but it certainly isn't futile.
On Tue, May 19, 2020 at 11:48 AM Stephen Wiggins <wiggins.stephen at gmail.com>
> I think it would definitely help. Not a futile exercise at all.
> Provide assistance with understanding why certain areas are hotspots and
> other not, whereby reducing and preventing hotspots from occurring in these
> vulnerable areas in the future.
> Kind Regards
> On Tue, May 19, 2020 at 11:24 AM Samantha Goodchild-Brown <
> Samantha.Goodchild-Brown at capetown.gov.za> wrote:
>> At a guess, no, it wouldn’t help. Not without vectors and reasons of
>> travel factored in.
>> But that’s why we do research….
>> *From:* Africa <africa-bounces at lists.osgeo.org> *On Behalf Of *Madodomzi
>> *Sent:* Saturday, 16 May 2020 18:15
>> *To:* africa at lists.osgeo.org
>> *Subject:* [OSGeo Africa] COVID-19 Geospatial Analysis
>> Dear List,
>> Could the analysis of existing time and place COVID-19 data help us
>> understand spatiotemporal tendencies of pandemics and help us to simulate
>> spatial spreads of future viral outbreaks?
>> Would this help with readiness or preparedness for future outbreaks or
>> just a futile exercise?
>> Madodomzi Mafanya (CGPrGISc 0279)
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> Stephen Wiggins
> Cell: +27662553869
> LinkedIn: http://www.linkedin.com/pub/stephen-wiggins/17/23b/736
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