chapter 1

Introduction



A. Understanding systemic risks

Before the COVID-19 pandemic, the interconnectedness of risks in our world may not have been immediately obvious in our daily lives. Nor was the systemic nature of these risks, meaning how they affected, or can potentially affect, whole societies beyond the initial problem.


For one thing, we have tended to think about systemic risks in relation to what happened as a result of the 2008 financial crash, where the failure of big banks rippled across the global economy, leaving millions out of work and sparking a global economic recession.


Other examples can be seen in how climate change, natural hazards and more recently the global consequences of the war in Ukraine have brought home how our world relies on a complex, often fragile, web of interdependent factors that, if destabilized, can have devastating effects on whole societies. For example, Ukraine and Russia are both key global cereal and fertilizer producers. One of the ripple effects of the war can be seen in rising global food prices, resulting in higher costs of living for those who can afford it and pushing those who cannot deeper into food insecurity.  


But it has been the emergence of COVID-19 that’s really forcing a broadening of perspective on systemic risks. Put simply, the pandemic produced a domino effect when it hit, starkly illustrating that our world is interconnected through systems, which come with associated, volatile risks that have revealed, and reinforced, vulnerabilities across society.


While some of these risks are undoubtedly negative effects of the pandemic, we can learn from them because they have expanded our understanding of risk.


First, we can now see more clearly that hazards and shocks can emerge from inside and outside the system. By “system,” we mean the way our societal processes, such as government, supply chains, education and health care are designed, organized and function, and how they are in constant interaction with one another. A system could be, for example, a city's critical infrastructure, national scale health care, education or international trade. Systems are made up of different subsystems, that have specific components, elements and stakeholders. The boundaries of the system depend on, for example, the decision-making or governance context. By considering events from the perspective of systems, it helps to reduce complexity and understand how things are interconnected. To illustrate this in the context of COVID-19, though for many countries the disease initially emerged from “outside” of the system via international travel, it quickly spread throughout populations and communities within national borders due to an initial lack of containment measures. Many of the government measures to protect at-risk groups or prevent the collapse of health systems have led to widespread effects on society, leading to so-called cascading effects, such as school closures, disruption of supply chains, unemployment and increases in domestic violence. We can think of these as “secondary,” and even “tertiary,” hazards.


Second, the pandemic has also shown that exposure to these risks is not only a matter of being located in a hazard-prone area (e.g. a hotspot area with very high numbers of daily infections) but can also be through experiencing something indirect. One example is the small island nations, such as Samoa, Tonga and the Cook Islands, that were largely COVID-19 free until late 2021 but, nonetheless, due to their dependence on tourism, have been severely affected by the global travel restrictions that continue to be part and parcel of governments' responses.


Third, we saw how vulnerabilities that characterize parts of the system can in themselves be the origin of new hazards or shocks that “cascade” into the broader system. The best way to illustrate this is how governments, in protecting vulnerable people and unprepared health systems from collapse, introduced lockdowns, which then triggered other types of hazards, such as disruption of education due to the closure of schools.


Lastly, COVID-19 has shown that it makes sense to move beyond an approach to analysing risk from one that looks at each hazard (e.g. COVID-19, floods, storms, droughts, etc.) individually to a more holistic approach that considers risks in a comprehensive manner.

B. Five locations, seven determinants of systemic risk

In the five locations around the world where we conducted research, systemic risk emerged from the interconnectedness and interdependence of systems and actors within a system, as well as from the interactions among individual risks, resulting in cascades of failures and impacts. We have zeroed in on seven key characteristics that determine the risks associatedwith COVID-19:


Combined, these characteristics confirm the systemic nature of risks associated with the disease. The findings from this report illustrate how the COVID-19 crisis has caused ripple effects that move us from the domain of health risks towards the economic, social and political domains that must now occupy policymakers, practitioners, researchers and citizens like us as we think about safeguarding society from future hazards.

1. Interdependence, interconnectedness and cascading effects
Since it was first detected in Wuhan, China, COVID-19 has rapidly spread across countries through international travel, resulting in a sharp rise in infections globally and direct physical health impacts for millions of people. The immediate response of most countries was to protect at-risk groups, like the elderly and those with pre-existing health conditions, and to prevent the collapse of health systems. This included restrictions on public gatherings, stay-at-home orders, closure of schools and businesses, and restrictions on domestic and international travel. Yet, though these measures helped and undoubtedly saved millions of lives, they also led to further cascading effects on interconnected social, economic, financial and governance systems.

We can see this in various ways. Geographically remote countries, such as Cook Islands, Samoa, Tonga and Tuvalu, have had very little direct exposure to the disease. However, their economies and populations have suffered greatly due to their very high dependence on tourism, which has been hammered by the international travel restrictions triggered by COVID-19.

Food chains have been similarly disrupted in indirect ways, revealing the fragility of connections between local food producers and the global food system. Between May and June 2020, the pandemic triggered disruptions in the production and delivery of fertilizers, as well as reductions in labour forces and increased demand as a result of panic buying, all of which led to food shortages in many regions around the world. These disruptions were disproportionately felt in low- and middle-income countries, particularly among small-scale food producers and vendors (Béné, 2020). These examples resonate with findings from recent studies on the systemic nature of risk, which highlight the notion of interdependence.
2. Non-linear relationships
Things don’t necessarily move in a straight line, and cause and effect isn’t always correlated in the way we assume. Those two takeaways are important to understanding why so-called feedback loops and tipping points can happen, and have happened, during the pandemic. For example, the spread of viruses is not linear, and we’ve seen many countries unexpectedly experience multiple waves of the disease. In one of our case studies, for the Maritime region of Togo, the cumulative confirmed deaths per million people has been far lower than the global average. However, the cascading effects triggered by the pandemic meant that, even with a low level of infections in the country, global interconnections has resulted in a series of large-scale negative consequences for large swathes of the population.
3. Feedback loops
One effect can lead to another effect, often with undesirable results that worsen the original situation. That’s the essence of feedback loops, which have been very noticeable during the pandemic as existing vulnerabilities in society have been revealed, one after another. For example, increasing hospitalizations have led to overwhelmed health systems, in turn increasing the risk of health systems collapsing. As we now know, once health systems are unable to reduce the spread of the disease as a result of being overwhelmed, COVID-19 continues to spread through the population, leading to a rising number of infections, which can be observed in most case studies.

In the Maritime region of Togo, the pandemic has exacerbated economic challenges for the rural population, resulting in increasing levels of poverty. This has led to an intensification of a trend that had been underway for decades: young people migrating to urban areas to find work. The resulting depletion of the agricultural workforce had a negative effect on rural livelihoods, thereby feeding the migratory loop even further.
4. Tipping points
Going beyond the point of no return is another feature of systemic risks. We have witnessed many moments during the pandemic when these tipping points were reached and systems were pushed past their limits of functioning, such as the collapse of health systems as a result of surges in confirmed cases and hospitalizations over short periods of time. We saw this in two of our case studies, in Guayaquil, Ecuador, in March 2020 and Indonesia in July 2021
5. Risks under the radar
Another characteristic of the systemic nature of risks is that they often build up over time, hidden and unnoticed. For example, pathologists have been cautioning about the potential for pandemics from emerging infectious diseases for decades, and warning signs were there with epidemics such as SARS, swine flu and Ebola. However, despite these signals, most countries were unprepared and did not invest enough in preventing future outbreaks and pandemics or in their preparedness for such events.

There are other kinds of arguably less obvious risks that creep up unnoticed. In our case study on Guayaquil, Ecuador, it emerged that a lot of popular frustration had been building as a result of government austerity policies. Then COVID-19 hit, resulting in the collapse of an underfunded health-care system, fuelling societal anger and distrust, culminating in a tipping point that saw widespread protest and civil disobedience. A similar dynamic played out in Cox’s Bazar, Bangladesh, where rumours and misinformation affected people’s trust in official announcements, gravely undermining effective prevention of contagion.
6. Uncertainty
Uncertainty is closely tied to the systemic nature of risks and has run throughout the ongoing pandemic, everywhere in the world. Uncertainty about the spread of COVID-19 started with the first confirmed case of an “unknown pneumonia” circulating in Chinese media before it was picked up by World Health Organization (WHO) in December 2019, and then picked up by individual countries within weeks. As is typical with an emerging infectious disease, the spread of information about COVID-19 came with a very high level of uncertainty about when and how it would spread, and this has persisted as we have seen new variants emerge
7. Dynamics
One big takeaway from the pandemic has been the need to better understand how some or all of the above elements interact with each other over time, with the resulting potential for delayed, long-term ripple effects. Some of our case studies show that educational inequality has been exacerbated as a result of the closure of schools due to COVID-19 containment measures, and the resulting generational loss of learning will have repercussions for those who were already disadvantaged. It’s also clear that disruptions in education could further increase gender inequalities over time, as has been seen in the increase in child marriages in Cox’s Bazar, Bangladesh, and the Sundarbans, India, which has resulted in a consequent loss of opportunities for girls. These examples show the delayed cause and effect nature of systemic risk as these consequences will become more apparent over the years.

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