[OSGeo Africa] COVID-19 Geospatial Analysis

Willem Badenhorst mandalagis at gmail.com
Thu May 21 04:51:01 PDT 2020 

I don't think the CSIR vulnerability Index is based on density alone.  Will
be more of a multi-criteria analysis with a range of inputs.  A close
visual study af areas I know very well shows areas with lower densities
with high vulnerability.

Kind regards
Willem


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On Wed, May 20, 2020 at 6:28 PM G Tadonki <gtadonki at gmail.com> wrote:

> Hwever, thread carefully with the relationship between pop density and
> covid-19 vulnerability, see these two papers:
>
>
> https://harvardpolitics.com/columns-old/stop-blaming-urban-density-for-coronavirus/
>
>
> https://blogs.worldbank.org/sustainablecities/urban-density-not-enemy-coronavirus-fight-evidence-china
>
> Stay safe
>
>
>
> Sent with Android
>
> On Wed, May 20, 2020, 12:10 G Tadonki <gtadonki at gmail.com> wrote:
>
>> You may read this... there are more detailed papers.
>>
>>
>> https://www.newgeography.com/content/006600-early-observations-pandemic-and-population-density
>>
>>
>>
>> Prof Georges Tadonki
>>
>> Sent with Android
>>
>> On Wed, May 20, 2020, 11:20 Abraham Parbhunath <ParbhuA at eskom.co.za>
>> wrote:
>>
>>> Hi Immo.  Try viewing the map on a desktop in full screen.  The legend
>>> comes up. I think they correlate/infer vulnerability to density of
>>> infection.
>>>
>>>
>>>
>>> Regards
>>>
>>> Abraham Parbhunath
>>>
>>>
>>>
>>> *From:* Africa <africa-bounces at lists.osgeo.org> *On Behalf Of *Immo
>>> Blecher
>>> *Sent:* Wednesday, 20 May 2020 17:09
>>> *To:* africa at lists.osgeo.org
>>> *Subject:* Re: [OSGeo Africa] COVID-19 Geospatial Analysis
>>>
>>>
>>>
>>> Interesting map!!! Would be nice if they would provide a little bit of
>>> information with it on what the vulnerability actually is and what the
>>> points are (communities? suburbs/villages?), especially for the layman
>>> coming across the map.
>>>
>>> Regards
>>>
>>> Immo
>>>
>>> On 2020/05/20 16:48, Abraham Parbhunath wrote:
>>>
>>> I also think you are on to something, but as with everything it depends
>>> on what level of detail was captured by the authorities.  Good luck and we
>>> look forward to you sharing your results.  Are you planning on integrating
>>> with a machine learning tool for forecasting?
>>>
>>> Incidentally, I am not sure if any of you have seen this map?
>>>
>>>
>>>
>>> https://circlecityinfo.co.za/covid-19-map/
>>>
>>>
>>>
>>> Regards
>>>
>>> Abraham Parbhunath
>>>
>>>
>>>
>>> *From:* Africa <africa-bounces at lists.osgeo.org>
>>> <africa-bounces at lists.osgeo.org> *On Behalf Of *G Tadonki
>>> *Sent:* Wednesday, 20 May 2020 16:08
>>> *To:* Africa local chapter discussions <africa at lists.osgeo.org>
>>> <africa at lists.osgeo.org>
>>> *Subject:* Re: [OSGeo Africa] COVID-19 Geospatial Analysis
>>>
>>>
>>>
>>> Hi,
>>>
>>>
>>>
>>> It is definitely useful, and many teams are doing it right now in a few
>>> countries. The COVID-19 crisis has taken the demand and use of geospatial
>>> data to an unprecedented level in epidemiology, the management of health
>>> emergencies and governance. In fact, there is no choice, it is a matter of
>>> life and death. However, it is key that research is carried out by
>>> professionals, in a collaborative and multidisciplinary way. It must also
>>> be linked decision-making by the government and partners.
>>>
>>>
>>>
>>> SA and African countries must seize the opportunities offered by this
>>> trend.
>>>
>>>
>>>
>>> Stay safe,
>>>
>>>
>>>
>>> Prof Georges Tadonki
>>>
>>>
>>> Sent with Android
>>>
>>>
>>>
>>> On Wed, May 20, 2020, 06:13 Kevin Musungu <kevin.musungu at gmail.com>
>>> wrote:
>>>
>>> Hi Madodomzi,
>>>
>>>
>>>
>>> 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.
>>>
>>>
>>>
>>> Kind regards
>>>
>>> Kevin
>>>
>>>
>>>
>>> On Tue, May 19, 2020 at 11:48 AM Stephen Wiggins <
>>> wiggins.stephen at gmail.com> wrote:
>>>
>>> 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
>>> Mafanya
>>> *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?
>>>
>>>
>>>
>>> Regards,
>>>
>>> Madodomzi Mafanya (CGPrGISc 0279)
>>>
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>>>
>>> --
>>>
>>> Regards,
>>>
>>> Stephen Wiggins
>>>
>>> Cell:    +27662553869
>>>
>>> LinkedIn: http://www.linkedin.com/pub/stephen-wiggins/17/23b/736
>>>
>>>
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