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

Imperial College London

PhD

Infectious Disease Epidemiology

2009

London School of Hygiene and Tropical Medicine

MS

Control of Infectious Diseases

2005

University of Cambridge

BA

Natural Sciences (Biological)

2003

Media Appearances

That Tweet You Just Sent Could Help Predict a Flu Outbreak

NBC Mach  online

2017-05-19

“Those people who report their symptoms could have different personalities and different demographics,” says Isaac Fung, an assistant professor of epidemiology at Georgia Southern University. Fung has moved away from looking for signals in social media prior to outbreaks. Instead, he’s looking for patterns in social media reactions during outbreaks of infectious diseases.

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Mining Of Social Media By DHS -- Another Hit To Public Health

Forbes  online

2017-10-20

Social media also been used to assess people’s level of understanding and reactions to specific messaging. Isaac Chun-Hai Fung expands on these uses in a review for the WHO.

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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

Public Health Implications of Image-Based Social Media: A Systematic Review of Instagram, Pinterest, Tumblr, and Flickr

The Permanente Journal

Isaac Chun-Hai Fung, Elizabeth B Blankenship, Jennifer O Ahweyevu, Lacey K Cooper, Carmen H Duke, Stacy L Carswell, Ashley M Jackson, Jimmy C Jenkins III, Emily A Duncan, Hai Liang, King-Wa Fu, Zion Tsz Ho Tse

2019-12-06

Image-based social media Instagram, Pinterest, Tumblr, and Flickr have become sources of health-related information and tools for health communication. No known systematic review exists that summarizes the existing research and its health implications.

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Epidemic doubling time of the COVID-19 epidemic by Chinese province

medRxiv

Kamalich Muniz-Rodriguez, Gerardo Chowell, Chi-Hin Cheung, Dongyu Jia, Po-Ying Lai, Yiseul Lee, Manyun Liu, Sylvia K. Ofori, Kimberlyn M. Roosa, Lone Simonsen, Cecile G. Viboud, Isaac Chun-Hai Fung

2020-02-28

COVID-19 epidemic doubling time by Chinese province was increasing from January 20 through February 9, 2020. Yet, the harmonic mean doubling time was relatively short, ranging from 1.4 (Hunan, 95% CI, 1.2-2.0) to 3.0 (Xinjiang, 95% CI, 2.0-4.9) days, with an estimate of 2.5 days (95% CI, 2.4-2.7) for Hubei.

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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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