[OSGeo Africa] COVID-19 Geospatial Analysis

Abraham Parbhunath ParbhuA at eskom.co.za
Thu May 21 05:11:32 PDT 2020


Infection density is what I was alluding to☺, but you may be on to something with MCDA

Regards
Abraham Parbhunath

From: Africa <africa-bounces at lists.osgeo.org> On Behalf Of Willem Badenhorst
Sent: Thursday, 21 May 2020 13:51
To: Africa local chapter discussions <africa at lists.osgeo.org>
Subject: Re: [OSGeo Africa] COVID-19 Geospatial Analysis

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<mailto: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<mailto: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<mailto: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<mailto:africa-bounces at lists.osgeo.org>> On Behalf Of Immo Blecher
Sent: Wednesday, 20 May 2020 17:09
To: africa at lists.osgeo.org<mailto: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><mailto: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><mailto: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<mailto: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<mailto: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<mailto: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<mailto:africa-bounces at lists.osgeo.org>> On Behalf Of Madodomzi Mafanya
Sent: Saturday, 16 May 2020 18:15
To: africa at lists.osgeo.org<mailto: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,

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