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31 August 2020 | Story André Damons | Photo Supplied
Prof Ivan Turok
Prof Ivan Turok

The number of people infected by the coronavirus is linked to the density of urban living. South Africa’s townships and informal settlements are bearing the brunt of the disease, on top of all their existing problems of unemployment, poverty, hunger, and crime. This is a disturbing situation and demands greater attention across society.

This is according to Prof Ivan Turok from the Human Sciences Research Council (HSRC), the Department of Economics and Finance, and the Centre for Development Support at the University of the Free State (UFS), who has recently been awarded a Research Chair in City-Region Economies at the UFS by the South African Research Chairs Initiative (SARChI).

Prof Turok was part of a webinar discussion on ‘Urban Living Post-COVID-19’ with Dr Geci Karuri-Sebina – who manages the research programme at South African Cities Network and who has two decades’ experience working and publishing in the fields of urban development, innovation, and foresight – and Mr Thireshen Govender, architect and founder of UrbanWorks. They analysed how COVID-19 challenges urban living, social distancing, and the de-densification of cities as South Africa heads towards 70% of its population living in urban areas.

According to Prof Turok, urban density has been blamed for the spread of the virus. “The fear of people crowding together has caused negative reactions from government, from business, and from households. This is unlikely to be a short-lived, temporary phenomenon. It will be with us for some time to come.”

“The virus poses an ongoing risk to society, with the prospect of second and third waves taking hold. A lockdown could be re-imposed and further efforts could be made to enforce distancing and de-densification of cities, particularly our densest settlements,” said Prof Turok.

 

De-risking urban density

There was a simple but compelling idea at the heart of his presentation, which should also be “at the heart of a more effective and inclusive response to the pandemic”. At the moment, the government’s response to the crisis facing our poorest communities is uninspiring. “We need a more positive vision for the future than wearing masks and washing our hands.”

“We need to be bolder and more imaginative about de-risking urban density. In other words, making crowded neighbourhoods safer and more secure for people to live in. Density poses multiple risks to residents. How do we reduce these risks in ways that generate wider benefits, rather than business as usual – forcing people to change their behaviour and follow protocols?”

With reference to New York, which was severely affected by the virus, Prof Turok showed that it was not density per se that was the problem, but rather the type of density. The densest part of the city (Manhattan) was far less affected by the virus than poorer outlying communities. “This gives us a clue that more floor space in taller buildings helps to prevent crowding and makes density more liveable,” said Prof Turok.

The reality in South Africa is also different when you drill down and distinguish between different kinds of places. Big cities have been affected worse than towns and rural areas – in terms of the incidence of infections and the number of deaths. Within cities, there have been far more problems in the townships and informal settlements than in the suburbs. In Cape Town, for example, the southern and northern suburbs and the central city have been barely affected by the virus. However, infections have been very high on the Cape Flats, including Khayelitsha, Langa, Gugulethu, Philippi, and Mitchells Plain.

“Population densities in some of these areas are more than 100 times higher than in the affluent suburbs. The differences are very striking.”

“Incomes on the Cape Flats are also much lower than elsewhere in the city. So, there is a correspondence between density and the disease, unlike New York,” says Prof Turok.

All the discussions about the pandemic so far has focused on the negative aspects of urban density for the risk of transmission. This ignores all the benefits of dense urban living. Intense human interaction fosters learning and creativity, which raises productivity and innovation. Concentrated populations generate economies of scale in the provision of infrastructure and institutions such as universities. Cities give firms greater choice of workers and vice versa.

 

Pure population density and economic density

Prof Turok continued by saying that physical distancing can be socially and economically damaging. “Attempts to force people apart through de-densification undermine all kinds of personal networks, weaken the social fabric of communities, and erode the economic advantages of proximity that are so important for cities.”

“We need to understand that people crowding together in dense informal settlements is a symptom of something more fundamental, namely poverty. The pressure on land reflects the fact that low-income households can’t afford the space standards of middle- and upper-income groups. Forcing people apart (or to stay home) to reduce the risk of transmission just treats the symptoms of the problem. It cannot be a lasting solution. It doesn’t build resilience to confront the multiple challenges facing poor communities,” said Prof Turok.

A key part of a lasting solution can be summed up as building economic density. This involves increasing investment in two- or three-storey buildings to give people more living space and to free up land at ground-floor level to accommodate essential infrastructure and more public space for markets and social interaction. A better living and working environment would strengthen community resilience to public-health problems and promote all-round development. The idea of economic density offers a practical vision that can inspire hope in a better future, rather than the status quo of wearing masks in crowded places.

“We need to de-risk urban density through tangible investment, rather than forced distancing or dispersal. This will help to bring about far-reaching improvements to people’s lives in cities. At the moment, the lack of economic density in impoverished communities is a much bigger problem than excessive population densities.”

News Archive

Fight against Ebola virus requires more research
2014-10-22

 

Dr Abdon Atangana
Photo: Ifa Tshishonge
Dr Abdon Atangana, a postdoctoral researcher in the Institute for Groundwater Studies at the University of the Free State (UFS), wrote an article related to the Ebola virus: Modelling the Ebola haemorrhagic fever with the beta-derivative: Deathly infection disease in West African countries.

“The filoviruses belong to a virus family named filoviridae. This virus can cause unembellished haemorrhagic fever in humans and nonhuman monkeys. In literature, only two members of this virus family have been mentioned, namely the Marburg virus and the Ebola virus. However, so far only five species of the Ebola virus have been identified, including:  Ivory Coast, Sudan, Zaire, Reston and Bundibugyo.

“Among these families, the Ebola virus is the only member of the Zaire Ebola virus species and also the most dangerous, being responsible for the largest number of outbreaks.

“Ebola is an unusual, but fatal virus that causes bleeding inside and outside the body. As the virus spreads through the body, it damages the immune system and organs. Ultimately, it causes the blood-clotting levels in cells to drop. This leads to severe, uncontrollable bleeding.

Since all physical problems can be modelled via mathematical equation, Dr Atangana aimed in his research (the paper was published in BioMed Research International with impact factor 2.701) to analyse the spread of this deadly disease using mathematical equations. We shall propose a model underpinning the spread of this disease in a given Sub-Saharan African country,” he said.

The mathematical equations are used to predict the future behaviour of the disease, especially the spread of the disease among the targeted population. These mathematical equations are called differential equation and are only using the concept of rate of change over time.

However, there is several definitions for derivative, and the choice of the derivative used for such a model is very important, because the more accurate the model, the better results will be obtained.  The classical derivative describes the change of rate, but it is an approximation of the real velocity of the object under study. The beta derivative is the modification of the classical derivative that takes into account the time scale and also has a new parameter that can be considered as the fractional order.  

“I have used the beta derivative to model the spread of the fatal disease called Ebola, which has killed many people in the West African countries, including Nigeria, Sierra Leone, Guinea and Liberia, since December 2013,” he said.

The constructed mathematical equations were called Atangana’s Beta Ebola System of Equations (ABESE). “We did the investigation of the stable endemic points and presented the Eigen-Values using the Jacobian method. The homotopy decomposition method was used to solve the resulted system of equations. The convergence of the method was presented and some numerical simulations were done for different values of beta.

“The simulations showed that our model is more realistic for all betas less than 0.5.  The model revealed that, if there were no recovery precaution for a given population in a West African country, the entire population of that country would all die in a very short period of time, even if the total number of the infected population is very small.  In simple terms, the prediction revealed a fast spread of the virus among the targeted population. These results can be used to educate and inform people about the rapid spread of the deadly disease,” he said.

The spread of Ebola among people only occurs through direct contact with the blood or body fluids of a person after symptoms have developed. Body fluid that may contain the Ebola virus includes saliva, mucus, vomit, faeces, sweat, tears, breast milk, urine and semen. Entry points include the nose, mouth, eyes, open wounds, cuts and abrasions. Note should be taken that contact with objects contaminated by the virus, particularly needles and syringes, may also transmit the infection.

“Based on the predictions in this paper, we are calling on more research regarding this disease; in particular, we are calling on researchers to pay attention to finding an efficient cure or more effective prevention, to reduce the risk of contamination,” Dr Atangana said.


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