COVID Conversations: Gabriela Gomes on Herd Immunity
I don't usually interview people on my podcast, but this is an important exception and I'd appreciate it if you'd share it far and wide. Here's the YouTube version: COVID Conversations: Gabriela Gomes on Herd Immunity Gabriela Gomes is Professor of Mathematics and Statistics at University of Strathclyde Glasgow and corresponding author of the recent paper, "Herd immunity thresholds for SARS-CoV-2 estimated from unfolding epidemics," one of the papers arguing that the herd immunity threshold is on the order of 10-20% in the European communities they studied rather than the 60-80% more commonly cited, and she's here to talk about herd immunity and COVID-19. Here's a list of topics we covered: 00:00:01 Introduction 00:01:28 Gabriela's body of research showing the importance of individual variation in susceptibility to infectious diseases. 00:04:25 Conventional models that don't take into account individual variation overestimate the size of epidemics and overestimate the effect of interventions. 00:05:21 How has her research been received by her colleagues? 00:09:30 The evolution of immunity has to be through the action of natural selection on variation, making it logically necessary that variation exists. 00:11:54 Nutrition scientists underestimated variation in nutritional requirements but have been much more receptive than infectious disease epidemiologists to incorporating it into their models. 00:15:51 The ability to identify a single necessary factor in infectious disease spread has biased the field toward a ground-up mechanistic model to vet the inclusion of variables. 00:22:34 What is herd immunity? 00:26:11 Tuberculosis disappeared because socioeconomic conditions improved. 00:29:06 Until the vaccine, measles cycled in and out of herd immunity as new infants entered the susceptible population. 00:31:13 Measles is much more transmissible than SARS-CoV-2. 00:32:21 SARS was contained before it had a chance to spread. 00:34:08 Herd immunity is not the end of concern about a disease. 00:34:33 The herd immunity threshold for COVID will be crossed many times, but crossing it the first time is the end of the "pandemic phase." 00:39:16 The seasonality of the flu is influenced not only by weather and social patterns that influence transmissibility, but also by cyclically crossing in and out of herd immunity. Viral mutations can be the trigger to temporarily cycle out of herd immunity. 00:46:57 Why conventional herd immunity threshold calculations say the threshold is 60-80% for COVID, but why Gabriela's model says 10-20%. 00:51:45 How do we know what the degree of variation is? 00:54:56 Gabriela's conclusions are similar to those reached by other researchers when looking at NYC and Chicago. 00:56:48 As long as susceptibility is correlated to infectiousness, natural infections will remove the most infectious people early on. 01:01:26 Is it possible that lockdowns and social distancing are solely responsible for everything we attribute to herd immunity? 01:08:30 How likely is it that fading immunity and reinfection would render the herd immunity model useless? 01:11:19 What does the New York City data tell us about herd immunity and reinfection? 01:15:32 What does Spain's second wave tell us? 01:19:21 We discuss Harvard Professor Miguel Hernán's suggestion on Twitter that NYC is doing so much better than Madrid because NYC had superior testing, contact tracing, and phased reopening. 01:23:16 Misunderstanding herd immunity has huge economic consequences. 01:25:13 Should we be looking at cases, hospitalizations, deaths, or seroprevalence as our primary metric? 01:35:28 We discuss University of Minnesota epidemiologist Michael Osterholm's suggestion that scientists modeling a 20% herd immunity threshold are "not connected with real-world thinking" and that the much higher infection rates in prisons and a South Korean call center show that the herd immunity threshold cannot be anywhere near as low as 20%. 01:41:05 Gabriela is hoping to find more collaborators to extend the modeling to more communities. 01:41:55 Why approaching herd immunity rapidly allows you to massively overshoot the threshold 01:46:10 How has her research been received by peer review, the press, and her colleagues? 01:49:00 What developments will she be looking for that would falsify her model? 01:50:39 What are the policy implications of her research? Here's how you can share this on social media: Retweet it on Twitter Heart it on Instagram Share it on Facebook Stay safe and healthy, Chris
Our guest is Gabriela Gomes, Professor of Mathematics at the University of Strathclyde. She specializes in population dynamics and the modeling of herd immunity and her recent work suggests covid-19 herd immunity may be at hand. We discuss how herd immunity thresholds are estimated and why she thinks classic models are flawed and must incorporate a measure of variation in individual susceptibility.SHOW NOTESGabriela Gomes, PhD: Twitter and websiteGomes et al. (May 2020 paper), "Individual Variation in Susceptibility or Exposure to SARS-CoV-2 Lowers the Herd Immunity Threshold" in MedRxivAguas et al. (July 2020 paper), "Herd Immunity Thresholds for SARS-CoV-2 Estimated from Unfolding Epidemics" in MedrxivBritton et al., "A Mathematical Model Reveals the Influence of Population Heterogeneity on Herd Immunity to SARS-CoV-2" in Science (open access)Kevin Hartnett, "The Tricky Math of COVID-19 Herd Immunity" in Quanta MagazineFine et al., "'Herd Immunity': A Rough Guide" in Clinical Infectious Disease (open access)Watch the episode on YouTube
Ep. 140 Gabriela Gomes: Why Herd Immunity May Be at Hand
The Accad and Koka Report
Our guest is Gabriela Gomes, Professor of Mathematics at the University of Strathclyde. She specializes in population dynamics and the modeling of herd immunity and her recent work suggests COVID-19 herd immunity may be at hand. We discuss how herd immunity thresholds are estimated and why she thinks classic models are flawed and must incorporate a measure of variation in individual susceptibility.GUEST:Gabriela Gomes, PhD: Twitter and WebsiteLINKS:Gomes et al. (May 2020 paper): Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold in MedRxivAguas et al. (July 2020 paper): Herd immunity thresholds for SARS-CoV-2 estimated from unfolding epidemics in MedrxivBritton et al. A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2 in Science (Open Access)Kevin Hartnett. The Tricky Math of COVID-19 Herd Immunity in Quanta MagazineFine et al. "Herd Immunity": A Rough Guide in Clinical Infectious Disease (Open Access)WATCH ON YOUTUBE:Watch the episode on our YouTube channelSUPPORT THE SHOW:Make a small donation on our Patreon page on and join our discussion group or receive a free book.
EP 4 | Os números e a evolução da epidemia - com Gabriela Gomes
Fundação (FFMS) - Assim Fala a Ciência
“Quando tivermos imunidade de grupo, a susceptibilidade da população vai estar suficientemente baixa para podermos retomar os contactos normais”, mas “ainda não estamos nesse ponto” alerta a especialista em epidemiologia Gabriela Gomes. Para o futuro, a matemática destaca a importância de investigar qual é a variação na susceptibilidade dos indivíduos à medida que entram em vigor as medidas de desconfinamento. Uma conversa digital com o divulgador de ciência David Marçal.