Isaac Chun-Hai Fung

Professor Georgia Southern University

  • Statesboro GA

Dr. Isaac Chun-Hai Fung is a digital health expert and an infectious disease epidemiologist.

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Will schools reopen before semester ends? Georgia Southern pandemic expert can give perspective

While education has moved into homes across the country because of the COVID-19 pandemic, people are wondering if the shutdowns will actually help stop the spread of the disease. Isaac Chun-Hai Fung, Ph.D., a digital health expert and infectious disease epidemiologist at Georgia Southern University, said school closures can delay the peak of the outbreak, reduce the amount of cases and decelerate the spread of the virus.  Fung was a part of a study in 2015 that modeled a potential flu pandemic. The study showed that delaying the spread of a virus can give health care professionals more time to come up with vaccines and other treatments, as well as giving the system time to brace itself for the onslaught of patients. “The key message of my paper is not necessarily how quickly we shut down schools,” Fung told Rolling Stone. “It is the duration of school closure that matters. Whenever we relax social distancing measures, we will see a bounce-back of the cases, unless we are able to completely block all transmission chains and have driven the case number to zero — i.e., extinction of the virus, as in the case of SARS in 2003.” While some think opening schools and other public places would benefit the economy, Fung said doing so could leave the country vulnerable. “To save the U.S. economy, we must control this disease first,” Hung said to Rolling Stone. “That is what China is going to achieve — even if they have already suffered a great deal economically due to COVID-19. That is why (Narendra) Modi asks the whole of India to stay home for three weeks. That is also what Boris Johnson asks the British people to do now. The Americans should take heed.” Fung analyses social media data for public health surveillance and health communication and uses digital technologies for public health interventions. He investigates the transmission of communicable diseases with a focus on respiratory infections and environmentally transmitted infections. He applied a variety of methods, from classical statistical methods to machine learning and mathematical modeling, to address public health problems and to provide solutions to policymakers. He is especially interested in assisting public health agencies in their responses to public health emergencies.  Fung is available to speak with media regarding this topic — simply reach out to Georgia Southern Director of Communications Jennifer Wise at jwise@georgiasouthern.edu to arrange an interview.

Isaac Chun-Hai Fung

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Biography

Dr. Isaac Chun-Hai Fung is a digital health expert and an infectious disease epidemiologist. He analyses social media data for public health surveillance and health communication and uses digital technologies for public health interventions. He investigates the transmission of communicable diseases with a focus on respiratory infections and environmentally transmitted infections. He applied a variety of methods, from classical statistical methods to machine learning and mathematical modeling, to address public health problems and to provide solutions to policy-makers. He is especially interested in assisting public health agencies in their responses to public health emergencies. He is currently a guest researcher with the Health Economics and Modeling Unit, Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention (CDC).

Examples of his recent projects include: Surveillance of unplanned school closures through social media platforms, Analysis of social media posts pertinent to public health emergencies, such as Ebola, MERS and Zika.

Dr. Fung was a Prevention Effectiveness Fellow at the CDC (2011-13) and a postdoc at the University of Georgia Department of Epidemiology and Biostatistics (2009-11). He earned his PhD from the Department of Infectious Disease Epidemiology, Imperial College London, and his MSc in Control of Infectious Diseases from the London School of Hygiene and Tropical Medicine. He was a graduate of Trinity Hall at the University of Cambridge.

Areas of Expertise

Digital Health
Outbreak Responses
Epidemiology
Infectious Disease Epidemiology
Emergency Preparedness

Education

University of Cambridge

BA

Natural Sciences (Biological)

2003

London School of Hygiene and Tropical Medicine

MS

Control of Infectious Diseases

2005

Imperial College London

PhD

Infectious Disease Epidemiology

2009

Media Appearances

How Long Will Schools Need To Stay Closed? A Pandemic Expert Weighs In

Rolling Stone  online

2020-03-26

Dr. Isaac Chun-Hai Fung is an infectious-disease epidemiologist Georgia Southern University, and he’s published science demonstrating how lengthy school shutdowns can lessen the severity of viral oubreaks. In a 2015 study modeling a potential influenza pandemic, Fung and his co-authors found that closing schools can slow the spread of disease, delay the peak of the outbreak and even reduce the total number of cases.

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'Break the chain': How will Georgia halt the spread of coronavirus?

Henry Herald  online

2020-03-24

Already, epidemiologists across the world are predicting areas could see a second outbreak of coronavirus late in the year once the current wave slows down this summer, said Dr. Isaac Fung, an associate professor of epidemiology at Georgia Southern University’s Jiann-Ping Hsu College of Public Health.

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YouTube advertises big brands alongside fake cancer cure videos

BBC News Services  online

2019-09-13

"We are asking corporations with people who are not experts in healthcare and public health to make those judgements on behalf of all citizens," says Isaac Chun-Hai Fung, an associate professor of epidemiology at Georgia Southern University.

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Articles

Social Media Use in Emergency Response to Natural Disasters: A Systematic Review With a Public Health Perspective

Disaster Medicine and Public Health Preparedness

Kamalich Muniz-Rodriguez, Sylvia K Ofori, Lauren C Bayliss, Jessica S Schwind, Kadiatou Diallo, Manyun Liu, Jingjing Yin, Gerardo Chowell, Isaac Chun-Hai Fung

2020-02-01

Social media research during natural disasters has been presented as a tool to guide response and relief efforts in the disciplines of geography and computer sciences. This systematic review highlights the public health implications of social media use in the response phase of the emergency, assessing (1) how social media can improve the dissemination of emergency warning and response information during and after a natural disaster, and (2) how social media can help identify physical, medical, functional, and emotional needs after a natural disaster. We surveyed the literature using 3 databases and included 44 research articles. We found that analyses of social media data were performed using a wide range of spatiotemporal scales. Social media platforms were identified as broadcasting tools presenting an opportunity for public health agencies to share emergency warnings. Social media was used as a tool to identify areas in need of relief operations or medical assistance by using self-reported location, with map development as a common method to visualize data. In retrospective analyses, social media analysis showed promise as an opportunity to reduce the time of response and to identify the individuals’ location. Further research for misinformation and rumor control using social media is needed.

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If containment is not possible, how do we minimize mortality for COVID-19 and other emerging infectious disease outbreaks?

medRxiv

Andreas Handel, Joel Miller, Yang Ge, Isaac Chun-Hai Fung

2020-03-17

If COVID-19 containment policies fail and social distancing measures cannot be sustained until vaccines becomes available, the next best approach is to use interventions that reduce mortality and prevent excess infections while allowing low-risk individuals to acquire immunity through natural infection until population level immunity is achieved. In such a situation, allowing some infections to occur in lower-risk groups might lead to an overall greater reduction in mortality than trying to protect everyone equally.

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Transmission potential of COVID-19 in Iran

medRxiv

Kamalich Muniz-Rodriguez, Isaac Chun-Hai Fung, Shayesterh R. Ferdosi, Sylvia K. Ofori, Yiseul Lee, Amna Tariq, Gerardo Chowell

2020-03-10

We computed reproduction number of COVID-19 epidemic in Iran using two different methods. We estimated R0 at 3.6 (95% CI, 3.2, 4.2) (generalized growth model) and at 3.58 (95% CI, 1.29, 8.46) (estimated epidemic doubling time of 1.20 (95% CI, 1.05, 1.44) days) respectively. Immediate social distancing measures are recommended.

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