The Carlson Lab @ Yale

@carlsonlab.bsky.social

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We work on planetary problems. Currently: counting climate change-related deaths; pandemic risk assessment in a changing biosphere; data, science, and vaccine access during public health emergencies. 👉 carlsonlab.bio

Cecilia Sanchez presents a slide showing geographic gaps in sampling effort
yale's beautiful campus from overhead
chris callahan, alex phelan, and lizzy blackmore speaking in a group discussion
workshop group photo
The Global Burden of Climate Change Study Working Group
Hailey Robertson presenting about the role of primates in arbovirus sylvatic maintenance
$12,690 OA fees for Nature Climate Change
two people smiling and standing in front of a poster called "Crafting an international Pandemic Agreement: a case study on the One Health approach"
Cole Brookson Ph.D. Student Yale University Cole is a PhD student in Epidemiology at Yale University and a Lighthouse Scholar with the Verena Institute. He uses mathematical and computational approaches to try and detect predictable patterns in systems such as climate-forced infectious diseases, and host-pathogen networks. Outside of his work at the intersection of disease ecology & epidemiology, he has worked on a variety of other topics including food web ecology, ecotoxicology, and fisheries science. They graduated their MSc in Ecology from the University of Alberta, and their H.BSc in Ecology & Evolutionary Biology from the University of Toronto. Most recently prior to his PhD, he worked as a researcher for the 'Na̱mg̱is and Kitasoo Xai'xais First Nations researching parasite spillover from farmed to wild fish stocks on North America's west coast. Cole is incredibly passionate about open science and computational literacy in the biological and health sciences, and routinely teaches workshops on programming and reproducible methods. When not at their computer, Cole can be found biking around the city, playing music, or picking up some absurd new hobby. (he/they)
Cecilia Sanchez and a poster called "Systematic review and meta-analysis of arbovirus prevalence in non-human primates"
EMD 568 Global Change and Infectious Disease Epidemiology TTh 1:30pm-2:50pm Course Description This course explores infectious disease epidemiology and public health practice in a world that has been transformed by human influence on the biosphere. The course is divided into three modules, focused on: (1) the role of anthropogenic environmental change in the process of zoonotic and vector-borne disease emergence, including new epidemic and pandemic threats; (2) the effects of climate change on infectious disease dynamics in humans and animals; and (3) levers for intervention to curb environmental drivers of disease risk or reduce their impact on human health and health systems. A primary aim of this course is to expose students to different frameworks for study design and causal inference, including approaches from epidemiology, ecology, econometrics, and anthropology. Suggested prerequisite: Principles of Infectious Diseases I or equivalent survey course on major infectious diseases or permission of the instructor. Students would benefit from a working familiarity with major kinds of pathogen life cycles/major categories of global health burden in order to contextualize the material/dive deeper into the ecology and epidemiology of these pathogens. 0 credits for Yale College students Instructors Colin Carlson colin.carlson@yale.edu
Using epidemic modeling to promote more equitable global health policy: the case of pathogen access and benefit-sharing
Figure 1 Sources of clinical evidence. (A) Traditional ‘hierarchy of evidence pyramid’ with evidence quality increasing from lowest at the bottom (background information/expert opinion) to highest (critical appraisal methods). (B) In this representation of evidence, observational studies (OBS) ‘unlock’ their own information, but they also are needed to ‘unlock’ evidence from randomised controlled trials (RCT).
Figure 2. Visualizing a knowledge graph ontology. (a) Representing subject–predicate–object (SPO) triples in a graph format. (b) The current data ecosystem; each dotted box represents a type of tabular dataset that may contain many of the individual SPO triples. (c) A domain-specific ontology to represent an outbreak. Nodes (circles) represent instances of a class, with the bolded text above or below as labels with the node classes. To the left or right of each node are the properties of that node. (d) The full ontology and schema for the zoonotic risk knowledge graph. The graph schema adheres to the ontology.