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Covid-19 was not the first pandemic where people asked whether we were warned properly, whether governments acted on the warnings and what could have been done differently.

SARSÌýswept the world in 2002–04, yet we were ill-equipped to respond when Covid-19, the second coronavirus pandemic within a generation, appeared just 15 years later.

A study by °×С½ãÂÛ̳Ìýhas found most infectious-disease warnings are set up to fail. Their design and implementation could be substantially improved.

Out of 38 infectious-disease warning systems identified in the °×С½ãÂÛ̳ study, 33 monitored health threats only after they had reached animal or human populations. The systems focused heavily on technical abilities to monitor, forecast and detect the presence of a health threat. These abilities are vital, but better detection does not necessarily mean better responses.

BothÌýSARSÌýandÌýCovid-19Ìýwere detected early. But several governments attemptedÌýto cover up bad news and avoid swift action, in a bid to limit economic and social impacts. It was the same with other outbreaks, includingÌýthe H1N1 flu pandemic in 2009, Ebola in West Africa in 2013 and Zika in 2015. The mantra that surveillance and early detection succeeded was repeated in all cases, but action based on warnings was still delayed.

Anticipatory warnings can instead identify a new infectious disease and tackle the risks before it spreads to the community. But creating anticipatory warnings requires extensive monitoring and a closer look at all social contributors to infectious diseases.

These includeÌýecosystem destruction, livestock production that intensifies human-animal interactions, illegal wildlife trade and transport, and overall hygiene. One example of good practice is theÌýEuropean Environment and Epidemiology NetworkÌýdirectly examining the environmental factors that increase the risk of international outbreaks.

Warning systems are fundamentally a social processÌýand requireÌýsocial-sciences analysisÌýto ensure success. Social sciences explain the intersections between health threats, political incentives and economic motivations. They help to evaluate which methods are more effective for communicating risk and uncertainty, especially to different populations. They also determine culturally appropriate actions, incentives and accountability processes.

A key target for infectious-disease warnings is to identify the most promising ways scientists and other professionals can collaborate and send out the right messages. Doing so requires the detection of potential threats, assessments of the risks, effective government communication strategies and good decision-making processes.

The majority of formal infectious-disease warnings operate from the top down and are managed by international and global organisations. They are often placed within other political or economic institutions and so experience the limitations associated with large organisations: bureaucracy, lack of transparency and inability to accept accountability.

For example, the second-largest Ebola outbreak occurred in the Democratic Republic of Congo from 2018 to 2020.ÌýOne analysis foundÌýinternational responses were hampered by the failure to declare the situation a Public Health Emergency of International Concern underÌýinternational law. This failure arose from overly bureaucratic procedures, poor transparency in the decision-making process and a lack of accountability among decision makers.

Increasing collaboration and data sharing, especially among national governments, can supportÌýscience diplomacy for public health emergencies. And improving bottom-up approaches, such asÌýcommunity-based warningÌýsystems, can bring together prevention, anticipation and responses across various decision-making scales and processes.

Public health and environmental health are not integrated enough to efficiently provide infectious-disease warnings. Most warning systems are managed by human- or animal-health specialists, shaping how the issue is framed from the beginning. The range of responses remains confined to a single perspective.

Even interdisciplinary efforts such asÌýOne HealthÌýandÌýEcoHealthÌýare sometimes interpreted or applied in such a way that they largely rely on human-centred perspectives and values.

TheÌýrisksÌýof highlighting human interests in infectious-disease warnings were seen inÌýEgypt during the H1N1Ìýpandemic. Political and religious narratives stigmatised pigs and supported a huge cull, even though pigs were used by a religious minority to sort through much of Cairo’s waste. The focus on managing H1N1 failed to account for the urban waste problem and associated health threat that resulted from killing the pigs. Warnings need to include a multitude of sectors, priorities and values.

While the links between public health, community health, animal health and ecosystem healthÌýare strengthening, these sectors can remain isolated from the prevention of and responses to disease outbreaks. The answer to identifying the threat well before a pandemic manifests is to ensure infectious-disease warnings address the complete picture.

Claudia Fernandez de Cordoba Farini is an affiliate of the °×С½ãÂÛ̳ Warning Research Centre. She is also scientific advisor and researcher for the Department for Environment Food & Rural Affairs in the UK Government and an associate in the Health and Life Sciences Team at Global Counsel.

Ilan Kelman is Professor of Disasters and Health at °×С½ãÂÛ̳,Ìýand a Professor II at the University of Agder, Kristiansand, Norway.

This article was originally written for Newshub 360 on 23^rd March, 2022, and published on . Ìý

Links

• Article in
• °×С½ãÂÛ̳ Institute for Risk & Disaster Reduction
• °×С½ãÂÛ̳ Maths & Physical Sciences
• °×С½ãÂÛ̳ Warning Research Centre

Image

• Novel Coronavirus SARS-CoV-2ÌýCredit: NIAID-RML,ÌýCC BY 2.0