15 May 2020 03:55 am Views - 3968
Ever since the key numbers for the Covid-19 virus became clear in mid-February, it was obvious that all countries would end up trying to control its spread. The alternative of letting the virus rampage unchecked through a country would always end up being too awful for any government, however stubborn or stupid, to accept. Unfortunately,
Mitigation aims to reduce the virus to a level that does not overwhelm a critical part of the system. A common concern is with how many ICU beds a country has, but it could also be how much contact tracing or testing capacity a country has. Mitigation tolerates continuous spread of the virus, but the goal is to avoid case numbers ever peaking above the level that the system cannot cope with. For this reason, it’s also called “flattening the curve”. Most countries have adopted this approach, including the USA, UK and Europe.
To implement mitigation, a country first has to slow down the spread of the virus and get new cases numbers coming down. Then, when it assesses numbers are manageable, it can gradually relax restrictions it has imposed to open up the economy, whilst still living with significant numbers of new COVID cases each day. In practice, this would not be the end of it. These countries would still need periodically to tighten restrictions whenever case numbers start to rise, to get them down again to a manageable level. It’s been estimated that this on-off-on approach might still leave most Western economies under lockdown for significant periods of time. but it might allow them to open up their economies faster.
Elimination aims to stop significant, the sustained transmission of the virus inside the country altogether. It is sometimes also called “suppression” and happens to be the core of what has been called “hammer and dance”—an approach the GMOA has pushed but did not invent.
Elimination does not mean zero cases.
First, countries will continue to have cases in foreign arrivals. As long as these people don’t infect anyone locally, this is not a concern. Second, they will likely have a very low level of continuing local spread because of hidden cases. The best example of this is China. Despite going many days with zero local cases, China continues to report sporadic local cases, typically just one or two every few days. This happens because many COVID infections are never detected, so zero reported cases for two or even four weeks does not guarantee zero viruses inside a country. In an elimination strategy, the goal is to keep these local cases as close to zero as possible, say one or two a week or month, and to have sufficient controls in place to prevent these numbers increasing. China, Taiwan and New Zealand are aiming at this outcome.
To implement elimination, a country needs to make a huge initial effort to get cases of local infection down to zero or near zero, and then it needs to have continuing measures in place to slow down the hidden spread of virus between people sufficiently that numbers of new cases remain flat and sporadic. To use technical jargon, this means reducing the effective reproduction number (Reff) substantially below 1.0 to get to (near) zero cases, and then maintaining Reff at or below 1.0 to keep numbers from rising again.
Although China had proved by early April that COVID elimination is possible, most countries are not aiming for elimination. One reason is that they believe that the short-term pain of getting cases down to near zero is not worth it. They believe that it’s better to live with a simmering epidemic and keep businesses open than shut everything down. In China, getting to zero involved locking down Hubei province with 60 million people for three months and significant controls in the rest of the country. Even then, three months was probably not long enough for Hubei, as China has reported a new cluster of cases there in the past few days. Another reason is that countries think that it is not realistic to do what China did.
I think that the belief that the costs for businesses and the economy are less with mitigation than with elimination is plain wrong, but I won’t get into that here beyond noting that the only major economy that may escape recession this year is China. Instead, I want to focus on whether it is feasible for other countries to replicate China’s elimination success. One way to start answering this is to ask: “Are there any countries, other than China, that have been able to reduce case numbers fast enough to put them on a path to near-zero cases as required for elimination?” This is particularly relevant since many, including here in Sri Lanka, still dismiss elimination as unrealistic. And of course, there may be things that we can learn from any successes to do better ourselves.
The media, pundits and others frequently highlight various countries as being COVID stars, including Sri Lanka. Unfortunately, these claims often reflect prejudices about what works, a desire to push particular countries, or are not based on hard evidence. For example, some people tout Sweden as a country that is managing COVID well, but they ignore its death rate, one of the highest in the world.
To answer this question without letting our own biases get in the way, we need to let the data speak. So, what I and my colleagues at IHP (Nilmini Wijemunige, Nishani Gunawardana) did was to take the global data and look for any countries which have been able by end-April:
(1) To reduce the trend in new cases by at least 95% from whatever their peak infection rate was in March, AND
(2) Had fewer than 10 cases in the last week of April or less than one case per 100,000 people.
We focus on percentage reduction (1) and not the reduction in case numbers because this is a much better indication of how well a country’s efforts are controlling virus transmission (see Box). We also ignored countries with fewer than 100 cases in total by end-April, as it is difficult to assess the trend when numbers are small.
When we analyzed the data for all 141 territories (I am going to call them countries for ease of reference), which had reported more than 100 cases by end-April, we found only 14 that met our criteria. These COVID super-performers consist of six high-income countries in the Asia-Pacific region: Australia, Brunei, Hong Kong, Korea, New Zealand and Taiwan; three other high-income countries: the Faroe Islands, Iceland and Trinidad and Tobago; and five developing countries: Cambodia, China, Mauritius, Montenegro and Vietnam
. As illustrated in the first chart, these countries were able to reduce the number of new cases by more than 95% between their highest numbers in March and the end of April, and at their rate of reduction, all of them would be on track to achieve zero or close to zero cases within another month, if they hadn’t already done so.
Incidentally as shown in the chart, Sri Lanka did not make it into this group of Elimination Superstars, but not because of the navy cluster. If we exclude the navy cases, we still had a much higher number of cases involving arrivals infecting locals than seems to have been the case in the other countries in the list, and so our case trend was not sufficiently reduced by end-April to qualify.
"As illustrated in the first chart, these countries were able to reduce the number of new cases by more than 95% between their highest numbers in March and the end of April, and at their rate of reduction, all of them would be on track to achieve zero or close to zero cases within another month, if they hadn’t already done so."
I should emphasize that I don’t have any idea what Montenegro has done, and I have some suspicions about the data from Cambodia. But based purely on looking at the data, these fourteen are the countries that we should be looking most closely at. In the second chart, you can see how different the course of the COVID epidemic has been in this group of countries compared with the rest of the world. This underlines that whilst Sri Lanka has done better than most of the world, it has not done as well as the COVID superstars. Whilst COVID numbers continue to rise in the rest of the world, these COVID superstars largely crushed the epidemic before May Day. With the exception of Korea, all of them did this in less than six weeks. They prove that elimination is possible within a very short time outside China.
What these countries also demonstrate is that eliminating COVID is possible in a wide range of settings. Although many are high-income countries, Cambodia and Vietnam are poorer than Sri Lanka, and they range in size from some of the smallest countries in the world to China, the largest. They are also located in all parts of the world from the tropics to near the Arctic and range from communist one-party states to Western democracies. This suggests that what makes them different is probably something to do with how they managed COVID. But it is not immediately clear what this is since they don’t appear to have adopted identical policies. For example, several of them—Hong Kong, Taiwan, Iceland and Vietnam—have not imposed national lockdowns. However, most do appear to have done far more COVID testing than Sri Lanka has, but without digging deeper it is not possible to conclude what really made a difference and what we might learn from them to do better. I leave this for my next article.
Dr Ravi P. Rannan-Eliya is Executive Director of the Institute for Health Policy (IHP). He trained as a physician at Cambridge, and in public health and economics at Harvard. The views and opinions expressed in this article are his personal views, more of which can be found at his blog site – “Personal comment” at http://www.ihp.lk/blogs/ravi.
The nature of COVID transmission is that it spreads exponentially. If for example, each new COVID case infects two other people every six days (in technical jargon: Reff=2.0), the number of new infections doubles every six days. So if we start with just one case, after six days there will be two, after 12 days four, and after a month 32 new cases.
Whilst the law of exponential numbers helps COVID spread rapidly, it also works in our favour if we can reduce virus transmission. For example, if face masks reduce the average number of new infections caused by a single case from two to a half (Reff=0.5), then if we start with 32 infections a day, we will have only one new infection a day after a month. Because this is an exponential change, it also means that if we start with a daily infection rate of 3,200 a day, we will end up with an infection rate of just 100 a day after the same one month.
The key thing to appreciate is that to reduce new case numbers by 3,100, when starting at 3,200, is as hard as to reduce numbers by 31 when starting at 32. So any effective control policy will reduce infections by the same percentage whatever the initial number, and if we continue long enough the virus will disappear.