Covid-19 Workplan
Thursday 16 Apr 2020
KEY OUTCOMES
Positioning AI as a leader on Covid-19 response analysis across Africa, and thereby attracting sponsorship for deeper
research into combating the pandemic by:
1) Producing updated daily data reports;
2) Producing data tables and maps of selected data-points;
3) Tracking the trends as the pandemic and multi-sectoral responses evolve;
4) Producing a primary data survey from among affected Key Populations, particularly PLHIV; and
5) Producing case studies of important intersectional aspects of the crisis, particularly related to gender.
PROJECT DEADLINES
MON 6
TUE 7
WED 8
THU 9
FRI 10
W/END
MON 13
TUE 14
WED 15
THU 16
FRI 17
W/END
Daily data Thom
Daily data Thom
Daily data Thom
DP 1.2 Alex, Thom
DP 1.3 Alex, Thom
Daily data Thom
DP 1.5 José, Thom
DP 4.6 Alex, Thom
Daily data Thom
DP 1.8 Taavi, Thom
DP 1.4 Sheriff, Thom
MON 20
TUE 21
WED 22
THU 23
FRI 24
Daily data Thom
DP 2.1 Sheriff, Thom
DP 1.1 Alex, Thom
PD Survey OUT
MS Contracted
AI Team
Daily data Thom
DP 4.5 Mike, Thom
CS 1 Alex
Trend 2 Alex
Skype Team 9am
Volunteers
Workplan 3pm
Datapoint select.
Daily data Thom
DP 8.4 José, Thom
Daily data Thom
Team briefings
Good Friday
Daily data Thom
DP 9.5 Taavi, Thom
Easter
W/END
PROJECT TEAM
Name
Role
Responsibilities
Contact
Ricki Kgositau
Project Oversight
ricki@accountability.international
Matt Åhnlund
Project Finance
Phillipa Tucker
Project Liaison
Michael Schmidt
Project
Management
- Oversight
- Fund-raising
- Sign-off on controversial
messages
- Financial Oversight
- Fund-raising
- Liaison with Michael
- Sign-off on key messages
- Editorial oversight
- Data-point prioritisation
mats@accountability.international
phillipa@accountability.international
michael.schmidt@riseup.net
- Collation of data-points
- Country grading
- Research
- Output text (with Phillipa)
- Messaging &
recommendations (with
Phillipa)
- Website oversight (with
Denis)
- Data-collection
- Research
- Fund-raising
- Data-collection
- Data-collection
- Data-collection
Alexandra Ciobîcă
Data
Sheriff Mothopeng
Taavi Erkkola
José Antonio Izazola
Licea
Mike Asudi
Laura Tensen
Lena Sätterström
Thomas Heap
Data
Data
Data
Denis Nzioka
Communications
Data
Data
DROPPED OUT
Graphics
- Data-collection
- Data-collection
- Data-collection
- Maps
- Tables
- Daily data
- Website
- Social Media
alexandra@accountability.international
sheriff@accountability.international
erkkolat@unaids.org
izazolaj@unaids.org
michael.asudi@gmail.com
tensen.laura@gmail.com
lena@hallbarekonomi.nu
thom@hokahey.agency
denis@accountability.international
PROCESS
Data /
Info
Priorities
Task
Assignment
Michael
Phillipa
Michael
Data / Info
Collection +
Case Studies
& Primary
Data Survey
Whole Data
Team (as
marked light
green
above)
Delivery:
10am
CET/CAT
every week
day
Trend
Tracking
Data
Contextaualization
Data
Vizualisation
Messaging
& Data /
Info Signoff
Publication
Michael
Thom
Alex
Michael
Phillipa
Michael
Phillipa
Ricki
Michael
Denis
Thom
Delivery:
10am
CET/CAT
every
Tuesday
Delivery:
1pm
CET/CAT
every
week day
Michael
Thom
Relevant
Data Team
member
Delivery:
1pm
CET/CAT
every week
day
Delivery:
2pm
CET/CAT
every
week day
Delivery:
2pm
CET/CAT
every
week day
WORKPLAN
No.
Item
Details
Responsible
Deadline
Costs
1.
Contracts
Contract non-AI staff (Michael, etc) for
project
Phillipa
8 Apr
N/A
2.
Fund-Raising
- Andrew Seale (WHO)
- Nazneem Damji (UN Women)
- SAA
Skype 16
Apr?
3.
Workplan
Ricki
Phillipa
Matt
Michael
Michael
4.
Daily Reports
- Compiled by Thom from Africa CDC,
African Union Commission, African
Development Bank etc.
- Posted on website etc by Denis
Thom
Denis
DONE: 8 Apr
Daily
update
Daily: 10am
CET/CAT
N/A
N/A
5.
Data framing
6.
Data-points
(DPs)
7.
Trend-tracking
8.
Primary Data
Survey (PD
Survey)
Case Studies
(CS)
9.
- To decide on how we count (testing
%, deaths, deaths / positive tests, and
deaths /100,000
Research
- Michael to prioritise data-points from
AI Concept Note on which to focus
- Michael to assign data-points to
members of Data Team
- Data Team to secure and compile
authoritative, current data on datapoints in Excel spreadsheet
Visualization
- Decide how best to visualise data
- Transfer data into chosen format
(map, table, pie-chart, graph, etc)
- Grade countries where necessary
Contextualization
- Write explanations and
recommendations for data-points
Publication
- Messaging decisions
- Website & social media
- To be selected by Michael & Alex
from the raw data and visualized by
Thom
Trend 1: Mortality
- To be based on Phillipa’s survey
Phillipa
Matt
Thom
Michael
Alex
Taavi
José
Mike
Sheriff
- Michael to select case studies in
consultation with Phillipa:
Case Study 1: Women
Case Study 2: Vulnerable KPs
Case Study 3: FBC responses
Michael
Phillipa
Alex
Thom
Michael
Relevant Data
Team member
Michael
Phillipa
Phillipa
Michael
Denis
Michael
Thom
Sheriff
To Be Assigned
8 Apr
Daily 10am
8 Apr
N/A
8 Apr
Daily
Daily
Daily
N/A
N/A
Daily
Daily
Daily
N/A
16 Apr
OUT: 20 Apr
IN: 22 Apr
Publ.: 23 Apr
N/A
N/A
21 Apr
DATA-POINTS
No
Data-points
1.
Basic health-care
data
Hospital Beds per
capita
Nurses and midwives
per capita
Doctors per capita
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
HIV and access to
ART
Diagnosis,
quarantine &
treatment capacity
Equipment & HCW
training capacity
Pharmaceutical
production capacity
Anti-viral research
capacity
Status Publ.
Notes
Sourcing
DONE
Alex
DONE
Alex
DONE
Alex
NOW
Sheriff
NOW
José
20 Apr
Understand why data is mostly a decade
old
World Bank
16 Apr
International Health Regulations
Monitoring and Evaluation Framework (IHR
MEF)
Hospital guidelines and availability of
necessary medical equipment, including
personal protective equipment and
trained staff on respiratory illness so as to
place an emphasis on the protection of
health care workers
IHR MEF
NOW
Taavi
17 Apr
Global Virus Network’s Africa component
(GVN Africa) with member facilities in SA
(National Institute for Communicable
Diseases), Ghana (West African Centre for
GVN, WHO
DONE
15 Apr
DONE
15 Apr
17 Apr
World Bank
WHO
Cell Biology of Infectious Pathogens), and
Uganda (Uganda Virus Research Institute),
launched in June 2019 to combat Ebola.
Others: Africa Centre for Disease Control
and its five Regional Collaborating
Centres; East African Virus Research
Institute; etc.
1.9
1.10
2.
2.1
2.2
3.
4.
4.1
4.2
4.3
4.4
4.5
4.6
5.
5.1
5.2
5.3
5.4
6
6.1
6.2
7.
8.
8.1
8.2
8.3
8.4
Infectious Disease
Vulnerability Index
(IDVI)
Transmission Risk
Supply-chains
Medical stockout
prevention
Food security
Universal Health
Care (UHC)
Financial &
economic issues
TRIPs flexibilities &
financing
Import & export
economies
Reliance on
remittances &
tourism
Pharmaceuticals
Fiscal stimulus
packages
Percentage of GDP
earmarked to fight
Covid-19
Security issues
affecting the
epidemic
Health services
corruption & theft
Black market service
provision
Fake, expired,
pirated & stolen
medicines
Unfree labour &
testing
Infrastructure
Water, sanitation &
hygiene (WASH)
Slums, homelessness
& population density
Policy ratification
Human rights
Civil society space
Key Population
inclusion
Migration &
displaced groups
Criminalization of
Corona transmission
UNCTAD TrainForTrade recommends:
increasing the use of digital
documentation to limit human contact to
the minimum; providing adequate and
sufficient protective equipment to staff;
and identifying decontamination areas in
the port buildings
Sheriff
20 Apr
Mike
21 Apr
Alex
16 Apr
CDC
Stimulus packages for African economies
Including medical products & false ‘cures”
Look at prison evacuations
Look at border-crossing displacement
José
22 Apr
UNCTAD
IMF, AU C19
Support Fund
IMF
Global
Initiative
Global
Initiative
Global
Initiative,
WHO
Global
Initiative
8.5
9.
9.1
9.2
9.3
9.4
9.5
9.6
9.7
[ENDS]
Transparency of
state response
Response to Covid19
New policies
State investment
Preparedness
Prevention
Sexual &
Reproductive Health
& Rights (SRHR)
Discrimination
against Health Care
Workers (HCWs)
Gender differentials
IMF
Including hospital guidelines and
availability of necessary medical
equipment and trained staff on respiratory
illness
Laura
23 Apr
HIVOS asks: Including on KPs and
marginalized populations. Look at GBV
cases and Intimate Partner Violence.
WHO asks: Men bear the burden of serious
illness and death, women of violence and
of care