[OSGeo Africa] COVID-19 Geospatial Analysis

Wed May 20 09:19:45 PDT 2020

The basic assumption:

"At whatever is the appropriate distance, the risk of infection is a
function of being close to people who are infected. The most fundamental
issue is thus, how close people are to one-another in their daily lives.
The risk of infection can be expected to be higher where there are very
high densities whether in residences, transport or employment locations."

Citing Dr. Wendell Cox.

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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>> --
>>
>> *Immo F. Blecher*
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