Joseph Lewnard

Joseph Lewnard

Title
Assistant Professor
Department
School of Public Health
Phone
(510) 664-4050
Research Expertise and Interest
infectious diseases, antimicrobial resistance, public health surveillance, mathematical modeling, Bayesian inference
Research Description

Joseph Lewnard studies the transmission dynamics of infectious disease agents and the effectiveness of interventions such as vaccination. To these ends, he uses mathematical and statistical modeling and collaborate closely with investigators leading field studies and disease surveillance. Much of his work centers around the impacts of pneumococcal conjugate vaccines on Streptococcus pneumoniae (an antigenically-diverse pathogen and leading cause of invasive disease, pneumonia, and upper respiratory infections), and lessons for future vaccines targeting limited subsets of pathogen strains. Other ongoing projects address the selection of antimicrobial resistance in pneumococcus, group A Streptococcus, and other commensal pathogens; the re-emergence of vaccine-preventable diseases such as mumps in recent years; and the transmission ecology and prevention of various neglected tropical diseases.

In the News

December 2, 2020

California farmworkers hit hard by COVID-19, study finds

Many farmworkers who plant and harvest our food are forced to live and work under conditions that are ripe for transmission of COVID-19. During the summer harvest season, coronavirus outbreaks popped up across the nation among farmworkers in agricultural communities, including many in California.

In the News

December 2, 2020

California farmworkers hit hard by COVID-19, study finds

Many farmworkers who plant and harvest our food are forced to live and work under conditions that are ripe for transmission of COVID-19. During the summer harvest season, coronavirus outbreaks popped up across the nation among farmworkers in agricultural communities, including many in California.

Featured in the Media

Please note: The views and opinions expressed in these articles are those of the authors and do not necessarily reflect the official policy or positions of UC Berkeley.
October 1, 2020
Apoorva Mandavilli
A UC Berkeley study has found several surprising insights on how COVID-19 is affecting India, a country of 1.3 billion people. The median hospital stay before death from the virus was five days, compared with two weeks in the United States, possibly because of limited access to health care. The trend in increasing deaths with age seemed to drop off after age 65, perhaps because Indians who live past that age tend to be relatively wealthy and have access to good health care. The study also found that children of all ages can become infected and spread the virus to others. An overwhelming majority of coronavirus cases globally have occurred in resource-poor countries, noted Joseph Lewnard, an epidemiologist at the University of California, Berkeley, who led the study. But most of the data has come from high-income countries. "It still surprises me that it took until this point for a lot of data to come out of a low- or middle-income country about the epidemiology of Covid," he said.
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May 27, 2020
Emily Deruy
COVID-19 patients treated at Kaiser facilities in California and Washington have been requiring longer hospital stays and are more likely to need intensive care than patients in China, according to a new analysis conducted by Berkeley researchers and Kaiser Permanente. The findings indicate that the burden the crisis has placed on U.S. hospitals may have been higher. "The hospital resources needed to meet the needs of severely ill patients are substantial," says assistant public health and epidemiology professor Joseph Lewnard, the paper's lead author. "We found that observations from China may not provide a sufficient basis for anticipating the U.S. health care demand." For more on this, see our press release at Berkeley News. Stories on this topic have appeared in dozens of sources, including CBS Bay Area Online, News Medical, California EPeak.
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