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Please view the current KZN data below 16_03_2020_KZNHospitalDatabase.xlsx
See health_system_za_public* files in data/
populating with a few examples is needed.
The Department of Health for each South African province has this data, but it is scattered and there is not consistent format between the different departments. Consolidating this information as a dataset will be valuable for visualisation as well as for analytics related to capacity and systems.
See
General: https://github.com/dsfsi/covid19za/blob/master/data/health_system_za_public_hospitals.csv Detailed: https://github.com/dsfsi/covid19za/blob/master/data/health_system_za_public_hospitals_extended_details.csv Contacts: https://github.com/dsfsi/covid19za/blob/master/data/health_system_za_public_hospitals_contacts.csv
@MikeMcMalace See latest commit to branch Hospital_data
Think now getting per hospital ICU is next
Also thanks @elolelo
Thank you @elolelo, this is great!
You might also want to dig into https://opendataza.gitbook.io/toolkit/open-data-resources/healthcare-data-resources
@elolelo and @MikeMcMalace
Hey @MikeMcMalace how are we doing here?
Her @vukosim , currently with regard to the district data we have 351 hospitals, with complete data except for 2 with missing geodata. Unfortunately, name changes etc. complicate this a bit. 20_03_2020_CurrentHospitalData_12_05pm.xlsx
@MikeMcMalace please see the Hospital Data branch. I would suggest you work on that as it also has info on where the data came from as per @elolelo
Fantastic! Is this linked? I see now that it contains 202 points - the cases? Should we superimpose the geodata to this?
The data on that link is from WIkiData. So wikidata would have to be updated. We have a volunteer from Codebridge who says they will update during the week.
and apologies if you already have this, but there's quite detailed descriptions of each facility (down to the ward level? not sure about capacity) here on the NIDS site: https://dd.dhmis.org/orgunits.html?file=NIDS%20Integrated&source=nids
@MikeMcMalace Hey Mike, did you get a chance to check this out?
Yes. Unfortunately, there are some issues in the data (unless they updated it within the last day). The biggest problem is district information and bed capacity. Each district hospital (according to the South African DoH) is categorised as either small, medium or large. In addition to this, each district has its own capacity (or estimated capacity). The hospital data have been updated, and thank you @elolelo for your valuable contribution into this matter. The problem right now is we want to have certain information on a map, that details the hospital, what it can and cannot do, and have information about the district included in it.
Something similar to this: https://codebridge-za.github.io/seeking-shelter/index.html
but with the details of this: https://www.healthestablishments.org.za/Home/Facility
and with the added district data and information about the hospital capacity.
The reason for this is we know which hospitals are COVID-19 ready. We also have amazing tools like the links here, which are very useful, but not if you have a medical emergency other than COVID-19, or COVID-19. When doing this search, I was shocked at how much digging one needs to do, not just for South Africa, but in general in Africa to find this information. The idea is to consolidate information in a way that is useful and usable to a person who is not a tech enthusiast, and who just has a cellphone.
This is being addressed in #115
Currently, there are fragmented and limited consolidated public data regarding the healthcare systems in South Africa. This extends beyond just knowing about a particular hospital but also relates to functions of the hospital such as specialised care, location, the estimated population in the district, and which hospitals can potentially assist in the COVID-19 pandemic.
To combat this, hospitals with specialised staff/units are available in South Africa, but this knowledge is not always accessible to the general public. Furthermore, this data seems to be in different formats, depending on the province/district and is not consolidated on one platform which makes data analysis challenging related to resource management.
I propose that we collate all the hospital data within South Africa so that we can have a clear visualisation of maximum capacity, and have data available so that other data scientists can perform assessments related to resource management, projections per district and identify what COVID-19 hotspots mean in terms of hospital capacity.
To do this, we need to start by collating data per province, related to the location of the hospital, and capability of the hospital. 1) Location of hospital a. Name of hospital b. GPS coordinates c. Province d. District e. Subdistrict f. Estimated population within the district 2) Capacity and capability a. Description of the hospital (each type of hospital has its own detail) b. Size (differs per hospital type for example small district is 50 – 150 beds, small tertiary is 400) c. Operational functions (services which must be included within the type of hospital) d. Type of hospital (district, regional, tertiary, central or specialized) e. Maximum capacity f. Speciality services (what specialised services are at the hospital, for example, internal medicine and infectious disease units etc.) g. Can the hospital currently respond to COVID-19? h. Source confirming the hospital can currently respond to COVID-19 i. CEO of hospital j. Postal address of hospital k. The physical address of the hospital l. Contact number m. Email
The last question “Can the hospital currently respond to COVID-19?” is challenging to answer unless public statements have been made. We know that the following hospitals are/were highlighted as quarantine hospitals.
Province HosptName GPSCoordinant TotalHospitalBeds Limpopo Polokwane Hospital 23.8968° S, 29.4574° E 450 Mpumalanga Rob Ferreira Hospital 25.4769° S, 30.9709° E 461 Gauteng Charlotte Maxeke Hospital 26.1760° S, 28.0439° E 1088 Gauteng Steve Biko Academic Hospital 25.7303° S, 28.2044° E 832 Gauteng Tembisa Hospital 25.9830° S, 28.2382° E 840 KwaZulu Natal Grey's Hospital 29.5795° S, 30.3643° E 530 North West Klerksdorp Hospital 26.8789° S, 26.6633° E 890 Northern Cape Kimberely Hospital 28.7462° S, 24.7730° E 287 Free State Pelonomi Hospital 29.1396° S, 26.2447° E 469 Eastern Cape Livingstone Hospital 33.9254° S, 25.5697° E 541 Western Cape Tygerberg Hospital 33.9106° S, 18.6123° E 1384
We also know, based on articles written about each one of these hospitals, that they experience a heavy load of patients throughout the year – irrespective of COVID-19.
The data that is consolidated can be used as a dashboard for the general public to see where they can go in terms of public healthcare, and additionally, other scientists can use this data to make contextually relevant inferences if they have this data and add it to their analysis.