Nicholas A. Christakis Profile picture
Mar 14, 2020 23 tweets 11 min read Read on X
Flu pandemics recur reliably but unpredictably every decade or so, and their extent and intensity varies. With COVID19, we may be in midst of a once-every-50-years event, perhaps similar to 1957 pandemic, but not as bad as the 1918 pandemic. Let’s talk about the 1957 pandemic. 1/
Pandemics result from emergence of viral strains that are novel, often from genetic recombination in animal reservoirs. The 1957 pandemic was due to influenza A (H2N2). cdc.gov/flu/about/viru… "Serological archeology" suggests it resembled 1889 strain. ncbi.nlm.nih.gov/pubmed/8877331 2/
The virus that caused the 1957 pandemic is a different from the coronavirus causing COVID19. Both are rhinoviruses, but from different phyla. statnews.com/2020/03/03/who… Despite the different pathogens, we can still understand what is happening by studying past pandemics. 3/
First, here is a timeline via our amazing @CDCgov of the history of public health responses to flu pandemics: cdc.gov/flu/pandemic-r… 4/
Best estimate at present is COVID-19 has intermediate transmissibility compared to other pandemics (an effective reproductive rate, Re, of 2-4 new cases per old case) & intermediate mortality (0.5%-2.0%, though still unclear). This makes it serious. ncbi.nlm.nih.gov/pmc/articles/P… 5/
A classic 1961 paper analyzing the 1957 pandemic ncbi.nlm.nih.gov/pubmed/13758900 concluded that the disease likely started in central China (like COVID-19) and became known to the rest of the world in April of 1957. Pandemics have started in many continents. 6/
Globally, the 1957 pandemic killed 1.1M people. There was regional variation; for instance: 0.3 deaths/10,000 in Egypt and 9.8/10,000 in Chile. GDP and latitude explained 43% of the variance in excess mortality. ncbi.nlm.nih.gov/pmc/articles/P… 7/
Mortality in the 1957 global flu pandemic was U-shaped, with the very young and very old dying (ncbi.nlm.nih.gov/pubmed/8877331). This is typical, but this appears NOT to be the case with COVID-19, where the young are spared (medrxiv.org/content/10.110… ). 8/
The first wide awareness of the 1957 pandemic in the USA was a tiny article on April 17, 1957 in the @nytimes on page 3 noting that 250,000 people were afflicted in Hong Kong (or 10% of the population). 9/
The 1957 pandemic was first recognized in USA in June in RI, but other outbreaks soon occurred in CA. By September, it was everywhere. And it recurred when schools re-opened in fall of 1957. A first peak in excess death was in October, and a second peak in February of 1958. 10/
Peaks in epidemics have to do with: pathogen flows across networks; other social factors (like changes in population mixing across time, or school re-openings); weather; etc.. For instance, flu has a baseline seasonality. cdc.gov/flu/weekly/wee… 11/
Here is a focused image of waves of the 1957 flu, in a relatively mildly affected area in Arizona. The waves are apparent, as the flu comes and goes. bmcinfectdis.biomedcentral.com/articles/10.11… 12/
Ultimately, 115,700 excess deaths occurred in the USA from the 1957 flu pandemic (pop size was 172 million, and cancer killed 255,000 people that year). It was a leading killer (and many experts now fear COVID19 might be -- though we still don't know). cdc.gov/nchs/data/vsus… 13/
The 1957 pandemic tended to attack young people more, according to focused contemporaneous studies in LA and MO (which is why, incidentally school closures are so effective at retarding spread), but mortality was highest in the very long and very old, in an inverted U shape. 14/
Pertinently, NOT everyone was afflicted in 1957, however. The overall attack rate was 41% in LA & 34% in MO. For COVID19, experts like @mlipsitch estimate that 20-60% of people will ultimately contract the pathogen. This is typical of flu epidemics. ncbi.nlm.nih.gov/pubmed/8877331 15/
But mortality from 1957 outbreak in the USA was U-shaped, as most pandemics are, killing the very young (<5) and very old (>65). ncbi.nlm.nih.gov/pubmed/8877331/ This is different than COVID19, which seems to spare the young (like some other flus) (medrxiv.org/content/10.110…). 16/
This combination of facts (school-aged people attacked, young & old die) reflects general pattern whereby the virus spreads in people who are out & about (at school & work) interacting. Virus is ‘brought home’ to kill age extremes who are at the end of the transmission chain. 17/
Therefore, immunizing the old, while it will reduce deaths, does not have much effect on the actual course of the epidemic. Everyone has to be immunized to get herd immunity, and immunizing working-age people helps break chains of transmission through social networks. 18/
The 1957 pandemic ended as people became immune over a period of three years. Possibly the virus became less virulent too. We can expect COVID19 to similarly become 'endemic,' but probably after several waves of affliction, alas. ncbi.nlm.nih.gov/pmc/articles/P… 19/
In the modern era, we control pandemics by surveillance (and testing!) and rapid development of vaccines (but even “rapid” development is 12-18 months, alas). 20/
In sum, COVID-19 resembles 1957 influenza pandemic in certain epidemiological ways (despite different pathogen & different age curve), which is what makes it more alarming than other pandemics that periodically afflict us. We're still not certain, but will know more soon. 21/
#3 in this thread involved an infuriating autocorrect error! This should read RIBOVIRUS, not rhinovirus. Both COVID-19 and 1957 flue are riboviruses. Influenza A is Riboviria, Phylum: Negarnaviricota, and Coronavirus is Riboviria, Phylum: incertae sedis. 22/
I'd like to update my assessment, from exactly 3 months ago, re the likely severity of the COVID-19 pandemic, using a classic schema (wwwnc.cdc.gov/eid/article/19…). I think this pandemic will take at least 300,000 lives in USA, even as many as 500,000, before it's done. It's bad. 23/

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More from @NAChristakis

Jul 2
In new work from #HNL in @NatureComms, we explore the ability of simple AI to affect the capacity of creativity of human groups. This work continues a stream of work we inaugurated in 2017, studying “hybrid systems” of humans and machines. 1/ nature.com/articles/s4146…
The primary obstacle to finding good ideas is normally not that innovations are hard to evaluate, but rather that coming up with an original idea that pushes the boundary of available ideas is hard. This is a challenge that groups can both mitigate and amplify. Distinctly, since AI can alter group behavior, AI might also affect creativity. 2/
Innovative ideas can enhance the immediate welfare of a population and even modify the course of human evolution. However, finding such valuable ideas often involves exploring a large pool of possibilities – which can be a challenging process for both individuals and groups. 3/
Read 17 tweets
Jul 1
Human beings have both friends and enemies, and they can track such connections. Why? It’s not hard to see why we evolved the capacity for friendship, but why do we have a capacity for animosity, and how might it shape our social networks, potentially for the better? 1/
In new work in @PNASNews, @Amir_Ghasemian and I explore “The Structure and Function of Antagonistic Ties in Village Social Networks.”

At the population level, the existence of antagonism has important implications for the overall structure and function of human groups. #HNL 2/

pnas.org/doi/10.1073/pn…Image
Just as friendship ties can impose costs (ranging from the demands our friends place on us to the risk of infection that social connections entail), antagonistic ties can offer benefits (ranging from enhancing our overall access to novel information or reducing our membership in overly siloed groups). We show how this plays out. 3/

pnas.org/doi/10.1073/pn…Image
Read 15 tweets
May 3
Social contagion is a powerful force.

People copy the thoughts, feelings, & actions of those to whom they are connected. Understanding social network structure & function makes it possible to use social contagion to intervene in the world to improve health, wealth, & learning.Image
In a large randomized controlled field trial in 24,702 people in 176 isolated villages in Honduras, published in @ScienceMagazine on May 3, 2024, we showed how social contagion can be used to improve human welfare. #HNL @eairoldi science.org/doi/10.1126/sc…
Image
To exploit social contagion, tools are needed to eficiently identify individuals who are better able to initiate cascades. To be maximally useful, such tools should be deployable without having to actually map face-to-face social network interactions. science.org/doi/10.1126/sc…
Read 18 tweets
Apr 30
I have some thoughts on this fine statement by @Yale President Peter Salovey regarding desire by some students to impose "ideological litmus test" for access to a shared Yale space.

Salovey said: “Those protestors asked individuals who wished to pass through or enter their area, which is a shared campus space, to agree with their political viewpoints. This action is unacceptable and antithetical to the very purpose of a university.”

It’s is quite right to reject this impulse, but where might students have got this sort of idea?

The background for this statement is pro-Palestinian protests and certain recent actions by some protestors.

For the removal of doubt, I wholly support the right to protest and am sympathetic both to Israel and the civilians suffering horribly in Gaza. I have no problem with the tents or public art.

But protest that stops others from using the campus crosses line into civil disobedience and is distinct from free expression.

and
The problem with the otherwise commendable statement by President Salovey is that the students’ impulse to have a litmus test is part of a broader pattern of such actions at Yale (violating its liberal tenets). We have procedures and bureaucracies that do just this -- which may have given the students this very idea!
Read 7 tweets
Dec 12, 2023
How will AI affect the way we treat each other?

In "hybrid systems" of humans and machines, how will AI (whether simple or complex) affect not just human-machine interactions, but human-human interactions in the presence of machines?

Will AI change human ethical behavior? 1/
In new work in @PNASNews, we showcase a novel cyber-physical system of people driving cars via the internet in an experimental diorama. This system allows us to explore how forms of AI affect existing human norms of cooperation and coordination. 2/ pnas.org/doi/10.1073/pn…
Image
Hiro Shirado (), @shn_kasa, and I tested how AI might affect norms of reciprocity using a novel cyber-physical lab experiment where online subjects (N=300 in 150 dyads) drove robotic vehicles remotely in a game of CHICKEN. #HNL 3/ shirado.net
pnas.org/doi/10.1073/pn…
Read 14 tweets
Nov 26, 2023
If you hide people's wealth, you can make the economic gradient in happiness go away, in part by making poor people relatively happier.

New (somewhat dispiriting) experiments spearheaded by @Nishi_Akihiro in @NatMentHealth #HNL 1/ nature.com/articles/s4422…
Image
A lot of the economic gradient in subjective well being (SWB) with respect to wealth has to do with the invidious comparisons people can make with those around them. 2/
One classic study reported that most people prefer to choose A (current yearly income is $50,000 and others earn $25,000) over B (current yearly income is $100,000 and others earn $200,000).

People would rather be relatively rich and absolutely poor!

3/sciencedirect.com/science/articl…
Read 10 tweets

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