Skip to main content

COVID-19

This work aims to address and better understand the COVID-19 disease and corresponding pandemic via scenario modeling, forecasting and other support measures.

Amid the current pandemic, our group is using the theoretical and empirical approaches consistently implemented in our projects of focus to assist in the global combative efforts against COVID-19. Our current efforts to aid in response to COVID-19 and to better understand the transmission dynamics of the SARS-CoV-2 coronavirus strain are listed below:

Contact Tracing Evaluation and Strategic Support Application (ConTESSA)

ConTESSA is a contact tracing application developed for contact tracing program managers. It is meant to indicate the impacts of current programs, as well as emphasize areas in need of greater focus to reduce COVID-19 transmission in identified communities. The scenarios generated by the application are applicable at both the household and community level. This app is in collaboration with Johns Hopkins Bloomberg School of Public Health researchers. The application can be found here: https://iddynamics.jhsph.edu/apps/connect/contessa/ .

COVID-19 Scenario Pipeline

This scenario pipeline is a public shared code (via GitHub) used for scenario forecasting and can assist in creating reports for various government entities. The model was designed to be as versatile as possible, allowing for its use with varied parameters (i.e. different spatial scales given the shapefiles, population data and COVID-19 confirmed case data available). The pipeline has been used to support several partners including the state of California and the national US response. Access to the pipeline can be found here: https://github.com/HopkinsIDD/COVIDScenarioPipeline .

Health Intervention Tracking (HIT-COVID)

HIT-COVID is a live database focused on the collection of data related to global health COVID-19 intervention policies at the national and first-level administrative units. The intervention policies of interest are believed to have a direct impact on disease transmission. The data is anticipated to assist in the national and subnational governmental determinants of closing or reopening sectors of society. This work is in collaboration with the Boston University School of Public Health. The database can be found here: https://akuko.io/post/covid-intervention-tracking .

2019 Novel Coronavirus Research Compendium (NCRC)

The NCRC is a centralized, curated location for novel research on the SARS-CoV-2 coronavirus strain and the COVID-19 disease. The research is grouped by general topic, with new topic-related reviews continually made available. This is a collaborative effort between the Johns Hopkins School of Public Health and the School of Medicine. The compendium can be found here: https://ncrc.jhsph.edu .

Understanding SARS-COV-2 Transmission with Serologic Data

We are working with multiple collaborators, including those at Massachusetts General Hospital and Hôpitaux universitaires de Genève (Switzerland) to better characterize the human antibody response to SARS-COV-2 infections and to use these data to better understand key aspects of SARS-COV-2 transmission.

SARS-CoV-2 Genomics

We are working with groups across Johns Hopkins University to sequence the SARS-CoV-2 genome from patient samples to better understand the lineages circulating in the National Capital Region. As part of this collaboration, we have published over 100 viral genomes from the region to public databases (including GISAID and NCBI Genbank) and are working to integrate these data with epidemiological models to further characterize transmission dynamics.

COVID-19 Training Initiative

The COVID-19 Training Initiative draws on the resources at the Bloomberg School of Public Health and Johns Hopkins University to provide free online courses and tools, tailored training for public health departments in the US, and additional training for the Baltimore Health Corps.

The first Coursera course developed under this initiative provides an introduction to COVID-19 and contact tracing: https: //www.coursera.org/learn/covid-19-contact-tracing

The second Coursera course provides contact tracing program managers guidance on important indicators of performance of a contact tracing program, and a tool that can be used to project the likely impact of improvements in specific indicators: https://www.coursera.org/learn/measuring-and-maximizing-impact-of-covid-...

Principal Investigator

Andrew Azman Assistant Scientist

M. Kate Grabowski Assistant Professor

Emily Gurley Associate Scientist

Elizabeth C. Lee Research Associate

Kyu Han Lee Research Associate

Justin Lessler Associate Professor

Shaun Truelove Assistant Scientist

Updates #covid19

1 month 4 weeks ago

RT @NMRelleno: Excited to take over the @societyforepi Twitter account for the day! Follow along for insights into how #COVID19 is… https://t.co/SSCSSwFyim
3 months 10 hours ago

RT @JustinLessler: An important thread from @JHIDDynamics alum @NMRelleno . It both highlights the impact of #COVID19 on native commun… https://t.co/PuOjHGkH6w
3 months 1 week ago

Excellent work by @andrewazman providing insights into #COVID19 transmission from Swiss serosurveys https://t.co/JxGFrCLl2r
3 months 1 week ago

RT @JustinLessler: We are looking for an R shiny developer too help us implement an app to help guide contact tracing programs for… https://t.co/581IO1iEMy
4 months 5 days ago

RT @reichlab: Proud of the leadership that @CDCDirector is showing in using multiple models to communicate about #COVID19 deaths… https://t.co/Srn9rj54eo
4 months 1 week ago

RT @JustinLessler: Be careful about ruling out #COVID19 infection based on a negative RT-PCR result. Particularly soon after potentia… https://t.co/uTS2LbJydc
4 months 4 weeks ago

RT @KateGrabowski: Check out the latest reviews of the #COVID19 #epidemiology literature from @JHSPH_NCRC below. https://t.co/kAnkjUAYyS
6 months 4 weeks ago

RT @JustinLessler: We were getting questions about the #covid19 outbreak on the Diamond Princess so @salauer_biostat and I decided to… https://t.co/43FWWTAgeU
7 months 6 days ago

RT @cspenn: A huge tip of the hat to the researchers at @JohnsHopkins @JHIDDynamics for freely publishing their code and data f… https://t.co/RXGSO9ZqYn
7 months 1 week ago

RT @JustinLessler: What would it take to reconcile the limited onward #COVID19 transmission outside of China with the R0 estimates fro… https://t.co/fETSVgSvWe

Funders

Bloomberg Philanthropies

Federal Emergency Management Agency (FEMA)

Johns Hopkins Health System

State of California

Collaborators

Boston University School of Public Health

Hôpitaux Universitaires de Genève (HUG)

Johns Hopkins Applied Physics Laboratory

Johns Hopkins Bloomberg School of Public Health

Johns Hopkins School of Medicine

Publications

1 Aug 2020

Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study

Bi Q, Wu Y, Mei S, Ye C, Zou X, Zhang Z, Liu X, Wei L, Truelove SA, Tong Zhang T, Gao W, Cheng C, Tang X, Wu X, Wu Y, Sun B, Huang S, Sun Y, Zhang J, Ma T, Lessler J, Feng T

Lancet Infect Dis, 2020: 20 (8): 911-919, 10.1016/S1473-3099(20)30287-5

5 May 2020

The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application

Lauer SA, Grantz KH, Bi Q, Jones FK, Zheng Q, Meredith HR, Azman AS, Reich NG, Lessler J

Ann Intern Med, 2020: 172 (9): 577-582, 10.7326/M20-0504