The first confirmed case of COVID-19 in Africa was reported in Egypt on February 14th. The patient was a Chinese national who had recently arrived in Cairo. At the time of this writing, more than 2,400 cases have been reported across Africa. South Africa, Egypt and Algeria have the highest number of cases – 709, 402, and 264 cases, respectively. Most African countries are reporting new cases every day.
CAPE TOWN 27th march 2020 – Earlier this year, a group of epidemiologists led by Dr. Moritz Kraemer at Oxford University started collating data on the epidemic in China. This effort has grown to include contributions from around the world. As part of this global effort, we have put together a team of more than twenty volunteers from across Africa to develop an open dataset of cases as they are reported. The dataset includes patient demographics, date of diagnosis, location, symptoms, travel history, source of information and other necessary information. The location data is at the city, town or village level, and does not include household geographical coordinates so as to preserve individuals’ privacy. We obtain the data from official sources (such as the WHO, Ministries of Health, Africa CDC) and unofficial sources (such as online News sites).
These data have many uses. It can help us understand the spread of the SARS-COV-2 in Africa, epidemiological characteristics of cases and how it compares to reports in other parts of the world. The data can also be used in models to study the impact of various interventions (such as social distancing) and for making recommendations on resource allocation. For example, this dashboard developed by Dr. Vukosi Marivate and colleagues provides a picture of COVID-19 in South Africa based on currently available data.
How can you help?
First, we need more volunteers who can help in collating data. The data collation process can be a tedious effort for a few people, but many contributors will make the task easier. To volunteer to join this effort, please send an email to firstname.lastname@example.org and also take a look at the Github Repo for additional instructions.
Second, we would like to support data collection efforts by Ministries of Health (MOH) in Africa by connecting them with volunteers in Africa. Volunteers with technical and public health expertise can support the collection, organization, and visualization of relevant data on MOH websites. The rapid increase in new cases is putting a significant burden on the MOH and impacting the reporting of data. This is understandable because MOHs are addressing multiple challenges at this time – including tracking, testing, and quarantining cases, while implementing social distancing and other public health measures to control the local epidemics
Lastly, we want to encourage everyone to follow the advice of public health experts and clinicians who are dedicating their time and lives to fighting this pandemic in Africa. Stay safe and healthy.
Elaine Nsoesie is a Computational Epidemiologist and Assistant Professor of Global Health at Boston University. She was born and raised in Cameroon. You can contact her by email at email@example.com or Twitter: @ensoesie.
Vukosi Marivate is the ABSA UP Chair of Data Science and a Senior Lecturer in the Department of Computer Science, University of Pretoria. He leads the Data Science for Social Impact research group. Vukosi is also a visiting Principal Data Scientist at Council for Scientific and Industrial Research, South Africa. You can contact him by email firstname.lastname@example.org or Twitter @vukosi
About the AI Media Group
The AI Media Group is a 4IR focused media, events, analysis and consulting business with 3000+ community members. It is also the curator of AI Expo Africa, the largest B2B trade-focused Artificial Intelligence, RPA & Data Science business conference in Africa. This press release forms part of our client media liaison service. Please contact AI Media Group Deputy Editor Daniel Mpala (email@example.com) for more information about this service.
All trademarks & company names mentioned are protected by their respective owner