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Taiwan’s secret weapon against COVID-19: The power of contact tracing

Pandemic preparedness lessons from Taiwan's successful COVID-19 response include early intervention, technology integration, and public health measures.

When COVID-19 hit, the world scrambled to respond. Lockdowns, mask mandates, and economic turmoil became the new normal. But amid the chaos, Taiwan emerged as a beacon of hope. How did this island nation end not one but three community outbreaks? Let’s dive into the fascinating story revealed by a recent study published in Scientific Reports, “Taiwan ended third COVID-19 community outbreak as forecasted”.

Figure 1. The identified metric for predicting the end of outbreaks–the ratio of local and unknown confirmed to suspected cases–for the three community outbreaks with the forecast for the third one. The three community outbreaks are marked in blue (1st), green (2nd), and red (3rd). The grey cases in between are not connected to the cases in the three outbreaks. The number of local and unknown confirmed cases is marked in orange.
Credit. Author

When will the COVID-19 community outbreak end? Forecast when the 7-day average of confirmed to suspected cases reaches the critical threshold ratio of 1.2 × 10^-4 at which the first two outbreaks of COVID-19 in Taiwan ended.

-Torbjörn E. M. Nordling

The three waves: A tale of resilience

Taiwan faced three distinct COVID-19 outbreaks between 2019 and 2021. Each one could have spelled disaster, but instead, they became case studies in effective pandemic management:

  1. First outbreak: 54 days (ended April 11, 2020)
  2. Second outbreak: 27 days (ended February 9, 2021)
  3. Third outbreak: 154 days (ended September 20, 2021)

What’s remarkable? Between each outbreak, Taiwan enjoyed long periods without local infections. The first interlude lasted 273 days, while the second gave them a 69-day breather. This wasn’t luck – it was a consequence of the chosen strategy.

But how did they do it? While other countries struggled with endless cycles of lockdowns and reopenings, Taiwan seemed to have cracked the code. The secret lay in their approach to data and contact tracing.

The magic number: Ratio of confirmed to suspected cases

We discovered a crucial metric for predicting the end of outbreaks: the ratio of the 7-day average of local & unknown confirmed cases to suspected cases. This number reflects how well contact tracing is working.

Think of it like this: – If you have a lot of suspected cases but few confirmed ones, it means you’re casting a wide net. You’re identifying potential cases quickly and preventing them from spreading. – On the flip side, if your confirmed cases are high compared to suspected ones, you might be missing connections, allowing the virus to spread undetected due to a too-narrow net.

Using an exponential model, the team, on June 27th, 2021, accurately forecasted the end of the third outbreak. We predicted that the crucial metric on August 16, 2021, would surpass the critical threshold ratio of 1.2 × 10^-4 at which the previous two outbreaks had ended. The actual data crossed this threshold on August 27 – 11 days later. The number of cases kept decreasing until September 26th, while the Taiwan CDC suspected that cases reported after September 20, 2021, were older infections. It’s not a bad prediction for managing the pandemic!

Taiwan’s six-pillar strategy

Taiwan’s Central Epidemic Command Center (CECC) implemented a comprehensive strategy based on six main pillars:

  1. Strict border control with quarantine: Anyone entering the country faced mandatory quarantine, nipping imported cases in the bud.
  2. Self-health monitoring for potential exposures: If you’ve been to a place with known cases, you were expected to monitor your health closely.
  3. Testing when symptomatic: Feeling under the weather? It’s time for a test. This helped catch cases early.
  4. Mandatory supervised quarantine for confirmed and high-risk cases: No honor system here – quarantine was strictly enforced for those who needed it.
  5. Aggressive contact tracing: This is where Taiwan excelled, as we’ll explore more below.
  6. A four-level system to suppress community spread: Clear guidelines helped everyone understand the current risk level and necessary precautions.

This multi-pronged approach allowed Taiwan to stay ahead of the virus rather than constantly playing catch-up.

Contact tracing: The linchpin of success

Our study emphasizes that contact tracing is the key to ending outbreaks. By focusing on contact tracing, Taiwan managed to a) increase the detection of suspected cases, b) scale up the testing and isolation capacity, and prevent further viral infection spreading. To end an outbreak, you must prevent every infected person from infecting a new person. Simple in theory, challenging in practice – but Taiwan pulled it off.

While Taiwan’s strategies were effective, they weren’t without consequences. The pandemic and the measures to control it still took an economic toll. The retail market revenue growth plummeted to 13.3, the catering market revenue growth hit rock bottom at 39.9% in June 2021, unemployment rose from 3.7% in April 2021 to 4.8% in June 2021, and unpaid leave number skyrocketed from 4125 in May to a whopping 58, 731 in August 2021.

These numbers paint a picture of real hardship for many Taiwanese citizens. Businesses struggled, jobs were lost, and many faced financial uncertainty. However, it’s worth noting that these impacts were relatively short-lived compared to countries that faced prolonged, severe outbreaks.

Taiwan’s success offers valuable insights for the global pandemic response. Therefore, the following points should be considered to tackle a future pandemic:

  1. Effective contact tracing is crucial: It’s not just about identifying cases but about breaking chains of transmission quickly.
  2. Increasing suspected cases relative to confirmed cases is key: Cast a wide net to catch potential cases early.
  3. Scaling up testing and isolation capacity is essential: Be prepared to test and isolate large numbers of people if necessary.
  4. Combine border control, quarantine, and community strategies for a robust defense: A multi-layered approach is more effective than relying on a single strategy.
  5. Clear communication is vital: Taiwan’s four-level system helped everyone understand the current situation and what was expected of them.

Takeaway

Taiwan’s approach to ending three COVID-19 outbreaks showcases the power of effective contact tracing combined with a comprehensive strategy. As we face future pandemics, Taiwan’s experience offers a blueprint for rapid, effective response that prioritizes public health while minimizing societal disruption.

By focusing on the ratio of confirmed to suspected cases and scaling up contact tracing efforts, other nations may be able to replicate Taiwan’s success. The lessons learned from Taiwan’s experience could be invaluable in shaping global pandemic response strategies for years to come.

As we move forward, it’s crucial to remember that preparation is key. Taiwan’s success didn’t happen by accident – it resulted from careful planning, rapid adaptation, and a willingness to innovate in the face of crisis. By studying Taiwan’s approach, we can all be better prepared for whatever health challenges the future may hold.

🔬🧫🧪🔍🤓👩‍🔬🦠🔭📚

Journal reference

Wu, Y. H., & Nordling, T. E. (2024). Taiwan ended third COVID-19 community outbreak as forecasted. Scientific reports, 14(1), 6596. https://doi.org/10.1038/s41598-024-56692-0

Dr Torbjörn Nordling is an Associate Professor in the Department of Mechanical Engineering at the National Cheng Kung University, Taiwan. His research focuses on the application of AI, Data Science, Machine Learning, and System Identification techniques to deduce new knowledge in Epidemiology, Medical Technology, Computational Biology, and Systems Biology. Dr Nordling has published more than 25 articles in international peer-reviewed journals. He is currently leading a team developing a COVID-19 forecasting model based on synthetic individual data, aiming to explore an alternative to the reliance on population statistics that proved unreliable during the pandemic.

Yu-Heng Wu is a PhD candidate in the Department of Mechanical Engineering at National Cheng Kung University, Taiwan. His research focuses on the application of Data Science, Machine Learning, System Identification, Epidemiological Modelling, and Systems Biology. Yu-Heng Wu has published three articles in international peer-reviewed journals and two articles in conference proceedings. Currently, he is working on developing a COVID-19 forecasting model and a synthetic individual data generation algorithm.