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