Category Archives: Public Health

“Neurological and psychiatric risk trajectories in the 2 years after SARS-CoV-2 infection in different age groups and under different variants”

Dr. Maxime Taquet is an NIHR Oxford Health BRC Senior Research Fellow and NIHR Academic Clinical Fellow with clinical psychiatry and engineering backgrounds. Before studying medicine at the University of Oxford, he was a research fellow in engineering at Harvard Medical School and the Boston Children’s Hospital, with which he remained affiliated. He aims to gain a better insight into the complexity of mental illness, including its granular dynamics at the symptom level, its transdiagnostic nature, and its link with the rest of medicine (and COVID-19 in particular), and to translate this insight into treatment targets.

Webinar topic:
Neurological and psychiatric risk trajectories in the 2 years after SARS-CoV-2 infection: Age Groups and Variants

Date and time:
Wednesday, Dec 7, 2022 12:00 pm | (UTC-06:00) Central Time (US & Canada)

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Webinar number:
2764 939 9782

Webinar password:
JbgnvD39N$5 (52468339 from phones)

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14043971596 USA Toll Number

Access code: 276 493 99782

Evaluation and Treatment of Post-COVID conditions: The Rehab Medicine Perspective

Webinar topic:
Evaluation and Treatment of Post-COVID conditions: The Rehab Medicine Perspective

Date and time:
Wednesday, Oct 12, 2022 12:00 pm | (UTC-05:00) Central Time (US & Canada)

Lecture Recording:

“Towards Understanding Post-Acute Sequelae of SARS-CoV-2”

Dr. Andrea Lerner

Dr. Andrea Lerner is an infectious diseases physician and medical officer in the Office of the Director of the National Institute of Allergy and Infectious Diseases (NIAID) of the National Institutes of Health (NIH). Her areas of particular interest within infectious diseases include HIV, antimicrobial resistance, and emerging infectious diseases. One of her recent papers is “Toward Understanding COVID-19 Recovery: National Institutes of Health Workshop on Postacute COVID-19” ( This paper summarized a 2020 workshop held by NIH to summarize existing knowledge on post-acute COVID-19 and to identify key knowledge gaps.

Lecture Recording:
“Towards Understanding Post-Acute Sequelae of SARS-CoV-2”

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“Autonomic rehabilitation and other approaches to Long COVID care”

In the presentation, he will discuss a pragmatic, logical and patient-centered framework for managing people experiencing persistent symptoms after an acute COVID-19 infection.

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VASTLHCS Lecture Series invitation

“Mechanisms of Long COVID and Its Relationship to the Emerging Therapeutic Agenda”

Steven G. Deeks, MD, is a Professor of Medicine in Residence at the University of California, San Francisco (UCSF). He is a recognized expert on the impact of viral infections on inflammation, immune function, and health. Dr. Deeks has published over 600 peer-review articles, editorials, and invited reviews on these and related topics. He is one of the UCSF Principal Investigators for RECOVER, an NIH-funded program aimed at defining the post-acute sequelae of SARS-CoV-2 infection (PASC, or “Long COVID”). Dr. Deeks has contributed to several national and international meetings on the topic and provided expert testimony on “Long COVID” to the U.S. House of Representatives Subcommittee on Health on April 28, 2021. He was elected to the American Society for Clinical Investigation (ASCI) and the Association of America Physicians (AAP). He serves on the scientific advisory board for Science Translational Medicine.

Webinar topic Recording:
“Mechanisms of Long COVID and Its Relationship to the Emerging Therapeutic Agenda”

Webex meeting recording: “Mechanisms of Long COVID and Its Relationship to the Emerging Therapeutic Agenda”-20220706 1701-1
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Message of Hope

Before I was given a chance to be part of the CDC Foundation (CDCF), I ask myself, when will I have the opportunity to make a difference? Then came a few recruiting calls from CDCF. In the middle of several interviews with COVID-19 epidemiology positions, I turned on the television, saw the REVERB show, a new documentary series from CBSN Originals, and did a story on the Navajo Nation. Watching the story made me realized what my struggles in life that I thought are so miserable is nothing close to the daily challenges the Navajo Nation faces every given day. During this Holiday Season, my second month with CDCF and the Navajo Nation Public Health and Epidemiology organizational structure. I was given a chance to be part of several working groups and co-lead two teams, the “Unified Command Testing Coordination Team (UCTCT) with a colleague at John Hopkins University, and the “Testing Data and Analytics.” I get to meet many great people virtually, like Dr. Jill Jim, one of the many great women leaders in the Navajo Nation.

“Christmas will always be as long as we stand heart to heart and hand in hand.” I believe this Christmas quote goes along well with CDCF’s “Together Our Impact Is Greater.” NavajoEpi posted a picture on Instagram, and I realized being in a collage of photos wearing a mask, all I could see is our eyes, and I realized these are all my brothers and sisters. Brothers and sisters, tackling the day-to-day challenges of the Navajo Nation. If Santa puts something in my Christmas stocking, all I could ask will be the gift that will help my friends in the Navajo Nation and the Tribal Nation as a whole. That will be the help of my Navajo Team on staffing issues. While the vaccine roll-out is in play, testing will still have a vital role until everyone who wants to be vaccinated gets vaccinated. Enhanced testing needs to continue, given that SARS-CoV-2 yet has much space to infect people and create clusters in the Navajo territory.

I choose to affect the world on every given day, not to be affected by its challenges, but to find the strength to narrow the gap between those who have everything and the many that got nothing but hope. “Every dream comes from a speck of hope. It is through hope where we gain our strength to make a change.” 

A Priori Tumor Grading Scale to Triage and Schedule Post COVID-19 Mohs Surgery Patients

The United States is slowly relaxing stay-at-home orders and reopening businesses to reverse the nation’s ailing economy after the spread of the coronavirus that killed millions of jobs and pummeled the global economy. The virus was initially identified as a cluster of pneumonia cases in Wuhan, Hubei Province of China. Later reclassified as a Novel Coronavirus on December 31, 2019, by the World Health Organization (WHO), and health experts in the US, Canada, Germany, Russia, China, Korea, Japan, and Nigeria declared COVID-19 as a Global Pandemic. During the peak of the COVID pandemic, the Centers for Disease and Prevention, the U.S. Centers for Medicare and Medicaid Services, and professional organizations issued countermeasures to flatten the curve, such as elective surgical procedure cancellation. The coronavirus infections are still on the upswing in Texas, Arizona, Florida, and Utah.

A system to forecast the transmission of the virus based on live and current data is critical (Petropoulos & Makridakis, 2020). Cumulative first wave data aggregated nationally and globally could provide accurate forecasting of probable second wave COVID-19 transmission. While accurate forecasting of the virus’s spread is essential, it is critical to establish guidelines to avoid a Coronavirus rebound and frivolous lawsuits that could stunt economic recovery. In the absence of liability protection that shields medical facilities, and employers, it is critical to developing a scheduling point system that controls the number of patients in the waiting area that could be exposed to the asymptomatic transmission of COVID-19. Even with robust liability protection, negligent facilities could still be punished and be sued for damages. The average wait period is 18 minutes during a medical visit. The patients have enough time to mingle, increasing the probability of transmission of infectious diseases based on the amount and nature of contacts between healthy and infected individuals (Goscé & Johansson, 2018). A priori tumor grading scale in scheduling Mohs patients in the post-COVID period as it relates to the parameters for diffusion is vital for the safety and protection of both the patients and healthcare workers. Depending on the tumor grade, the overall degree of connectivity, comorbidity in association to tumor history using the Labilles “United Paradigm of Cancer Causation” (2017), the patient needs to be seen as the earliest. The grading scale introduced on the “Manual of Frozen Section Processing for Mohs Micrographic Surgery” (2008) is an urgency-scoring system to assist Mohs surgeons, administrators, and staff in triaging surgery patients.


Beggs, C. B., Shepherd, S. J., & Kerr, K. G. (2010). Potential for airborne transmission of infection in the waiting areas of healthcare premises: stochastic analysis using a Monte Carlo model. BMC infectious diseases10(1), 247.

Franczyk, B. (2019, July). An Intelligent and Data-Driven Decision Support Solution for the Online Surgery Scheduling Problem. In Enterprise Information Systems: 20th International Conference, ICEIS 2018, Funchal, Madeira, Portugal, March 21-24, 2018, Revised Selected Papers (Vol. 363, p. 82). Springer.

Friedman, E., Friedman, J., Johnson, S., & Landsberg, A. (2020). Transitioning out of the coronavirus lockdown: A framework for zone-based social distancing. arXiv preprint arXiv:2004.08504.

Goscé, L., & Johansson, A. (2018). Analysing the link between public transport use and airborne transmission: mobility and contagion in the London underground. Environmental Health17(1), 84.

Labilles, U. (2017). Pathopoiesis mechanism of smoking and shared genes in pancreatic cancer (Copyright Registration No. TX0008490984) [Ph.D. dissertation, Walden University]. ProQuest Dissertations Publishing.

McCulloch, Hetzer, Geddis, McConnell, Brock, Keating, Labilles, Marino, Beck, Wade & Fisher (2008). Manual of Frozen Section Processing for Mohs Micrographic Surgery. In F. Fish III (Ed.). Labilles, U, Immunohistochemistry (p.1201). American College of Mohs Surgery.

Petropoulos, F., & Makridakis, S. (2020). Forecasting the novel coronavirus COVID-19. PloS one15(3), e0231236.

IN THE CONTEXT OF DATA COLLECTION — IS BIGGER BETTER? Can big data help in our fight against COVID-19?

Color logo with backgroundThe traditional researcher concept that big data equates statistical significance should not eclipse the importance of understanding the interrelationship between the effect size, power, and sample size that could translate to both practical and statistical significance. It is critical to be guided by a working theory that gives birth to a useful solution to any given problem, such as in cancer epidemiology, most importantly, to the current COVID-19 pandemic. In 2017, the ”Unified Paradigm of Cancer Causation (UPCC),” a metatheory on cancer epidemiology, was introduced. The premise of this theory can be used in contact tracing as it relates to correlation with socio-behavioral risk factors, environmental interaction, and demographic determinants (SEDD). Understanding the trajectory of COVID-19 transmission could benefit from lessons learned from past and existing legal measures on efficient delivery of emergency and disaster relief not only by updating research reporting protocols but using a theory that bridge the gap between the federal, state, and local government. Petropoulos and Makridakis (2020) highlighted the integral significance of investigating the unknown variables associated with COVID-19 transmission. It is vital to explore the compounding factors that derail emergency relief. Should there be an improved, coordinated effort from the federal, state, and local governments? Are there other compounding factors in establishing an effective strategy in flattening the curve? In the next series, the questions on the COVID-19 epidemiology and its impact on Public Health will be explored, as well as how vital to streamline the Public Health Emergency Preparedness and Disaster Relief Systems. Months after the first case of the virus in the U.S, should we already have started establishing a seasonality pattern prediction protocol? This protocol does include not only age-specific social dynamics but also other compounding factors that complicate the public health countermeasure on social distancing?

It is crucial to adopt real-time modeling that is not only a computational algorithm but provides timely availability of relevant data, as stated by Birrell et al. (2020). Interdisciplinary collaboration both the U.S. and globally must embrace the promise of real-time modeling that provides a timely, relevant data available that could produce a novel cutting edge support tool and methodology for emergency and disaster management and public health policy.


Birrell, P. J., Wernisch, L., Tom, B. D., Held, L., Roberts, G. O., Pebody, R. G., & De Angelis, D. (2020). Efficient real-time monitoring of an emerging influenza pandemic: How feasible?. Annals of Applied Statistics14(1), 74-93.

Labilles, U. (2016). The New Public Health: Beyond Genetics and Social Inequalities. Unpublished manuscript, College of Health Sciences, Public Health, Epidemiology, Walden University, Minneapolis.

Labilles, U. (2017). Pathopoiesis Mechanism of Smoking and Shared Genes in Pancreatic Cancer.

Olson, D. R., Lopman, B. A., Konty, K. J., Mathes, R. W., Papadouka, V., Ternier, A., … & Pitzer, V. E. (2020). Surveillance data confirm multiyear predictions of rotavirus dynamics in New York City. Science advances6(9), eaax0586.

Petropoulos, F., & Makridakis, S. (2020). Forecasting the novel coronavirus COVID-19. PloS one15(3), e0231236.