100 Years of Medical Countermeasures and Pandemic Influenza Preparedness

The response of Canada's clinical health research ecosystem to the COVID-19 pandemic

BACKGROUND

The response of Canada's research community to the COVID-19 pandemic provides a unique opportunity to examine the country's clinical health research ecosystem. We sought to describe patterns of enrolment across Canadian Institutes of Health Research (CIHR)-funded studies on COVID-19.

METHODS

We identified COVID-19 studies funded by the CIHR and that enrolled participants from Canadian acute care hospitals between January 2020 and April 2023. We collected information on study-and site-level variables from study leads, site investigators, and public domain sources. We described and evaluated factors associated with cumulative enrolment.

RESULTS

We obtained information for 23 out of 26 (88%) eligible CIHR-funded studies (16 randomized controlled trials [RCTs] and 7 cohort studies). The 23 studies were managed by 12 Canadian and 3 international coordinating centres. Of 419 Canadian hospitals, 97 (23%) enrolled a total of 28 973 participants - 3876 in RCTs across 78 hospitals (median cumulative enrolment per hospital 30, interquartile range [IQR] 10-61), and 25 097 in cohort studies across 62 hospitals (median cumulative enrolment per hospital 158, IQR 6-348). Of 78 hospitals recruiting participants in RCTs, 13 (17%) enrolled 50% of all RCT participants, whereas 6 of 62 hospitals (9.7%) recruited 54% of participants in cohort studies.

INTERPRETATION

A minority of Canadian hospitals enrolled the majority of participants in CIHR-funded studies on COVID-19. This analysis sheds light on the Canadian health research ecosystem and provides information for multiple key partners to consider ways to realize the full research potential of Canada's health systems.

Changes in Spectrum of Respiratory Pathogen Infections and Disease Severity Among Children in Hohhot, China: Impact of COVID-19 Prevention Measures

BACKGROUND This retrospective study evaluated the effects of specific COVID-19 preventive measures, including the use of medical masks, nucleic acid testing, and patient isolation, on respiratory infections, disease severity, and seasonal patterns among children in Hohhot, located in northern China. Understanding these alterations is pivotal in developing effective strategies to handle pediatric respiratory infections within the context of continuous public health initiatives. MATERIAL AND METHODS At the First Hospital of Hohhot, throat swabs were collected from 605 children with community-acquired respiratory between January 2022 and March 2023 for pathogen infection spectrum detection using microarray testing. RESULTS Among the patients, 56.03% were male, and their average age was 3.45 years. SARS-CoV-2 infections were highest between October 2022 and January 2023. Influenza A peaked in March 2023, and other pathogens such as respiratory syncytial virus and influenza B virus disappeared after December 2022. The proportion of mixed infections was 41.94% among SARS-CoV-2 patients, while other pathogens had mixed infection rates exceeding 57.14%. Before December 2022, the mean WBC count for Streptococcus pneumoniae and Haemophilus influenzae was 8.83×10⁹/L, CRP was 18.36 mg/L, and PCT was 1.11 ng/ml. After December 2022, these values decreased significantly. Coughing, difficulty breathing, running nose, and lower respiratory tract infection diagnoses decreased in December 2022, except for SARS-CoV-2 infections. CONCLUSIONS SARS-CoV-2 peaked around November 2022, influenza A peaked in March 2023, and other pathogens like respiratory syncytial virus and influenza B virus were greatly reduced after December 2022. Inflammatory markers and respiratory symptoms decreased after December 2022, except for SARS-CoV-2.

Smartphone apps in the COVID-19 pandemic

At the beginning of the COVID-19 pandemic, analog tools such as nasopharyngeal swabs for PCR tests were center stage and the major prevention tactics of masking and physical distancing were a throwback to the 1918 influenza pandemic. Overall, there has been scant regard for digital tools, particularly those based on smartphone apps, which is surprising given the ubiquity of smartphones across the globe. Smartphone apps, given accessibility in the time of physical distancing, were widely used for tracking, tracing and educating the public about COVID-19. Despite limitations, such as concerns around data privacy, data security, digital health illiteracy and structural inequities, there is ample evidence that apps are beneficial for understanding outbreak epidemiology, individual screening and contact tracing. While there were successes and failures in each category, outbreak epidemiology and individual screening were substantially enhanced by the reach of smartphone apps and accessory wearables. Continued use of apps within the digital infrastructure promises to provide an important tool for rigorous investigation of outcomes both in the ongoing outbreak and in future epidemics.

Potential indirect impacts of the COVID-19 pandemic on children: a narrative review using a community child health lens

▪In this narrative review, we summarise the vast and burgeoning research on the potential and established indirect impacts on children of the COVID-19 pandemic. We used a community child health lens to organise our findings and to consider how Australia might best respond to the needs of children (aged 0-12 years). ▪We synthesised the literature on previous pandemics, epidemics and natural disasters, and the current COVID-19 pandemic. We found clear evidence of adverse impacts of the COVID-19 pandemic on children that either repeated or extended the findings from previous pandemics. ▪We identified 11 impact areas, under three broad categories: child-level factors (poorer mental health, poorer child health and development, poorer academic achievement); family-level factors that affect children (poorer parent mental health, reduced family income and job losses, increased household stress, increased abuse and neglect, poorer maternal and newborn health); and service-level factors that affect children (school closures, reduced access to health care, increased use of technology for learning, connection and health care). ▪There is increasing global concern about the likely disproportionate impact of the current pandemic on children experiencing adversity, widening existing disparities in child health and developmental outcomes. ▪We suggest five potential strategy areas that could begin to address these inequities: addressing financial instability through parent financial supplements; expanding the role of schools to address learning gaps and wellbeing; rethinking health care delivery to address reduced access; focusing on prevention and early intervention for mental health; and using digital solutions to address inequitable service delivery.

Using Non-Pharmaceutical Interventions and High Isolation of Asymptomatic Carriers to Contain the Spread of SARS-CoV-2 in Nursing Homes

More than 40% of the deaths recorded in the first wave of the SARS-CoV-2 pandemic were linked to nursing homes. Not only are the residents of long-term care facilities (LTCFs) typically older and more susceptible to endemic infections, the facilities’ high degree of connection to wider communities makes them especially vulnerable to local COVID-19 outbreaks. In 2008, in the wake of the SARS-CoV-1 and MERS epidemics and anticipating an influenza pandemic, we created a stochastic compartmental model to evaluate the deployment of non-pharmaceutical interventions (NPIs) in LTCFs during influenza epidemics. In that model, the most effective NPI by far was a staff schedule consisting of 5-day duty periods with onsite residence, followed by an 4-to-5 day off-duty period with a 3-day quarantine period just prior to the return to work. Unlike influenza, COVID-19 appears to have significant rates of pre-symptomatic transmission. In this study, we modified our prior modeling framework to include new parameters and a set of NPIs to identify and control the degree of pre-symptomatic transmission. We found that infections, deaths, hospitalizations, and ICU utilization were projected to be high and largely irreducible, even with rigorous application of all defined NPIs, unless pre-symptomatic carriers can be identified and isolated at high rates. We found that increasingly rigorous application of NPIs is likely to significantly decrease the peak of infections; but even with complete isolation of symptomatic persons, and a 50% reduction in silent transmission, the attack rate is projected to be nearly 95%.

Responses against infectious disease pandemics: a narrative review on COVID-19

Currently, the world is facing the coronavirus disease 2019 (COVID-19) pandemic. With this, an emerging infectious disease pandemic in the absence of effective antiviral agents and vaccines for a novel virus is no different from the 1918 influenza pandemic, which became a great disaster for humankind. We also experienced a global lockdown with a stringent implementation of social distancing, which is a first for mankind living in the present day, and has led to enormous economic damage and restrictions on individual freedom. The microorganism that will cause the next pandemic may be a highly fatal avian influenza virus, another coronavirus, or a completely different microorganism. This COVID-19 pandemic is an enormous lesson for humankind and is tantamount to a vaccine in preparation for the next pandemic. Important and urgent undertakings were given to each country in terms of complementing laws and regulations for a stronger and more resilient healthcare system, such as investment in research and development for new rapid diagnostic technologies, vaccines, new therapeutic agents, among others.

Oncology workload in a tertiary hospital during the COVID-19 pandemic

Introduction

Workload in oncology during a pandemic is expected to increase as manpower is shunted to other areas of need in combating the pandemic. This increased workload, coupled with the high care needs of cancer patients, can have negative effects on both healthcare providers and their patients.

Methods

This study aims to quantify the workload of medical oncologists compared to internal medicine physicians and general surgeons during the current COVID-19 pandemic, as well as the previous H1N1 pandemic in 2009.

Results

Our data showed decrease in inpatient and outpatient workload across all three specialties, but the decrease was least in medical oncology (medical oncology −18.5% inpatient and −3.8% outpatient, internal medicine −5.7% inpatient and −24.4% outpatient, general surgery −17.6% inpatient, and −39.1% outpatient). The decrease in general surgery workload was statistically significant. The proportion of emergency department admissions to medical oncology increased during the COVID-19 pandemic. Furthermore, the study compared the workload during COVID-19 with the prior H1N1 pandemic in 2009 and showed a more drastic decrease in patient numbers across all three specialties during COVID-19.

Discussion

We conclude that inpatient and outpatient workload in medical oncology remains high despite an ongoing COVID-19 pandemic. The inpatient medical oncology workload is largely contributed by the stable number of emergency department admissions, as patients who require urgent care will present to a healthcare facility, pandemic or not. Healthcare systems should maintain manpower in medical oncology to manage this vulnerable group of patients in light of the prolonged COVID-19 pandemic.

Public perceptions of the role of government and nonstate actors in responding to COVID-19

In this article, we examine public perceptions of the importance of different levels of government and of nongovernmental entities in responding to the COVID‐19 pandemic. By analyzing the case of COVID‐19, we illuminate patterns that may be helpful for understanding public perceptions of the response to a broader range of crises, including the impacts of hurricanes, tornadoes, earthquakes, wildfires, and other hazards. We contribute to the public policy literature on public perceptions of government response to crises and expand it to include consideration of the role of nonstate actors. Drawing on a representative survey of 1200 registered voters in Texas, we find that individuals are more likely to view government as extremely important to respond to the pandemic than nonstate actors. We find that perceptions of the role of state and nonstate actors are shaped by risk perception, political ideology and religion, gender, and race/ethnicity. We do not find evidence that direct impacts from the COVID‐19 pandemic consistently shape perceptions of the role of state and nonstate actors.

CDC's Flu on Call Simulation: Testing a National Helpline for Use During an Influenza Pandemic

During an influenza pandemic, healthcare facilities are likely to be filled to capacity, leading to delays in seeing a provider and obtaining treatment. Flu on Call is a collaborative effort between the US Centers for Disease Control and Prevention and partners to develop a toll-free telephone helpline to reduce the burden on healthcare facilities and improve access to antivirals for people who are ill during an influenza pandemic. This study tested the feasibility of Flu on Call during a 1-day simulation using a severe pandemic scenario. Trained volunteer actors placed calls to the helpline using prepared scripts that were precoded for an expected outcome ("disposition") of the call. Scripts represented callers who were ill, those calling for someone else who was ill, and callers who were only seeking information. Information specialists and medical professionals managed the calls. Results demonstrated that Flu on Call may effectively assist callers during a pandemic, increase access to antiviral prescriptions, and direct patients to the appropriate level of care. Overall, 84% of calls exactly matched the expected call disposition; few calls (2%) were undermanaged (eg, the caller was ill but not transferred to a medical professional or received advice from the medical professional that was less intensive than what was warranted). Callers indicated a high level of satisfaction (83% reported their needs were met). Because of the high volume of calls that may be received during a severe pandemic, the Flu on Call platform should evolve to include additional triage channels (eg, through internet, chat, and/or text access).

Nucleic Acid-Based Sensing Techniques for Diagnostics and Surveillance of Influenza

Influenza virus poses a threat to global health by causing seasonal outbreaks as well as three pandemics in the 20th century. In humans, disease is primarily caused by influenza A and B viruses, while influenza C virus causes mild disease mostly in children. Influenza D is an emerging virus found in cattle and pigs. To mitigate the morbidity and mortality associated with influenza, rapid and accurate diagnostic tests need to be deployed. However, the high genetic diversity displayed by influenza viruses presents a challenge to the development of a robust diagnostic test. Nucleic acid-based tests are more accurate than rapid antigen tests for influenza and are therefore better candidates to be used in both diagnostic and surveillance applications. Here, we review various nucleic acid-based techniques that have been applied towards the detection of influenza viruses in order to evaluate their utility as both diagnostic and surveillance tools. We discuss both traditional as well as novel methods to detect influenza viruses by covering techniques that require nucleic acid amplification or direct detection of viral RNA as well as comparing advantages and limitations for each method. There has been substantial progress in the development of nucleic acid-based sensing techniques for the detection of influenza virus. However, there is still an urgent need for a rapid and reliable influenza diagnostic test that can be used at point-of-care in order to enhance responsiveness to both seasonal and pandemic influenza outbreaks.

Genetic Dissection of the Regulatory Mechanisms of Ace2 in the Infected Mouse Lung

Acute lung injury (ALI) is an important cause of morbidity and mortality after viral infections, including influenza A virus H1N1, SARS-CoV, MERS-CoV, and SARS-CoV-2. The angiotensin I converting enzyme 2 (ACE2) is a key host membrane-bound protein that modulates ALI induced by viral infection, pulmonary acid aspiration, and sepsis. However, the contributions of ACE2 sequence variants to individual differences in disease risk and severity after viral infection are not understood. In this study, we quantified H1N1 influenza-infected lung transcriptomes across a family of 41 BXD recombinant inbred strains of mice and both parents—C57BL/6J and DBA/2J. In response to infection Ace2 mRNA levels decreased significantly for both parental strains and the expression levels was associated with disease severity (body weight loss) and viral load (expression levels of viral NA segment) across the BXD family members. Pulmonary RNA-seq for 43 lines was analyzed using weighted gene co-expression network analysis (WGCNA) and Bayesian network approaches. Ace2 not only participated in virus-induced ALI by interacting with TNF, MAPK, and NOTCH signaling pathways, but was also linked with high confidence to gene products that have important functions in the pulmonary epithelium, including Rnf128, Muc5b, and Tmprss2. Comparable sets of transcripts were also highlighted in parallel studies of human SARS-CoV-infected primary human airway epithelial cells. Using conventional mapping methods, we determined that weight loss at two and three days after viral infection maps to chromosome X—the location of Ace2. This finding motivated the hierarchical Bayesian network analysis, which defined molecular endophenotypes of lung infection linked to Ace2 expression and to a key disease outcome. Core members of this Bayesian network include Ace2, Atf4, Csf2, Cxcl2, Lif, Maml3, Muc5b, Reg3g, Ripk3, and Traf3. Collectively, these findings define a causally-rooted Ace2 modulatory network relevant to host response to viral infection and identify potential therapeutic targets for virus-induced respiratory diseases, including those caused by influenza and coronaviruses.

Quality Assurance Sampling Plans in US Stockpiles for Personal Protective Equipment: A Computer Simulation to Examine Degradation Rates

Medical countermeasure stockpiles in the United States are designed to support healthcare workers and the public during public health emergencies; they include supplies of personal protective equipment (PPE). As part of typical PPE manufacturing processes, appropriate test methods are used to ensure that the devices provide adequate protective performance. At the time of manufacture, performance is often measured and weighed against an objective standard of quality, resulting in a pass or fail attribute being assigned to individual PPE items and thence to production lots. Incorporating periodic performance testing for stockpiled PPE can ensure that they maintain their protective qualities and integrity over time while in storage. There is an absence of guidance regarding how to design quality assurance programs for stockpiled PPE. The applicability of the Lot Quality Assurance Sampling (LQAS) approach to stockpiled PPE was examined in a previous study that compared and contrasted different sample sizes in recovering the true percentage of defective units in large lots in the LQAS framework. The current study carries this line of inquiry forward by integrating PPE degradation over time and comparing different sampling time intervals in recovering the true underlying degradation rate. The results suggest that product degradation is more easily detected when tested at shorter time intervals and for higher degradation rates. They further suggest that sampling interval groupings can be made based on the proficiency with which they recover the true underlying degradation rate.

Light as a potential treatment for pandemic coronavirus infections: A perspective

The recent outbreak of COVID-19, which continues to ravage communities with high death tolls and untold psychosocial and catastrophic economic consequences, is a vivid reminder of nature's capacity to defy contemporary healthcare. The pandemic calls for rapid mobilization of every potential clinical tool, including phototherapy—one of the most effective treatments used to reduce the impact of the 1918 “Spanish influenza” pandemic. This paper cites several studies showing that phototherapy has immense potential to reduce the impact of coronavirus diseases, and offers suggested ways that the healthcare industry can integrate modern light technologies in the fight against COVID-19 and other infections. The evidence shows that violet/blue (400–470 nm) light is antimicrobial against numerous bacteria, and that it accounts for Niels Ryberg Finsen's Nobel-winning treatment of tuberculosis. Further evidence shows that blue light inactivates several viruses, including the common flu coronavirus, and that in experimental animals, red and near infrared light reduce respiratory disorders, similar to those complications associated with coronavirus infection. Moreover, in patients, red light has been shown to alleviate chronic obstructive lung disease and bronchial asthma. These findings call for urgent efforts to further explore the clinical value of light, and not wait for another pandemic to serve as a reminder. The ubiquity of inexpensive light emitting lasers and light emitting diodes (LEDs), makes it relatively easy to develop safe low-cost light-based devices with the potential to reduce infections, sanitize equipment, hospital facilities, emergency care vehicles, homes, and the general environment as pilot studies have shown.

Visitation restrictions: is it right and how do we support families in the NICU during COVID-19?

Although the COVID-19 pandemic has largely not clinically affected infants in neonatal intensive care units around the globe, it has affected how care is provided. Most hospitals, including their NICUs, have significantly reduced parental and family visitation privileges. From an ethical perspective, this restriction of parental visitation in settings where infectious risk is difficult to understand. No matter what the right thing to do is, NICUs are currently having to support families of their patients via different mechanisms. In this perspective, we discuss ways NICUs can support parents and families when they are home and when they are in the NICU as well as provide infants the support needed when family members are not able to visit.

Nonpharmaceutical Interventions for Pandemic Influenza: Communication, Training, and Guidance Needs of Public Health Officials

OBJECTIVES

The aim of this study was to identify the needs of state, tribal, local, and territorial (STLT) public health officials in communicating, implementing, and monitoring nonpharmaceutical interventions (NPIs) during an influenza pandemic.

METHODS

A Web-based survey collected data from a nonrandom sample of STLT health departments.

RESULTS

A total of 267 of 346 public health officials responded (77.2% response rate). STLTs identified the general public, families, childcare programs, K-12 schools, and workplaces as their priority audiences for NPI communication. Training needs included NPI decision-making strategies, triggers for implementing NPIs, and communicating NPI recommendations to families and communities, as well as a more practical orientation and real-world examples of how to incorporate NPI guidance into preparedness and response activities. Information is needed on health messaging for various populations and settings and on the legal authority for implementing specific NPIs.

CONCLUSIONS

Future NPI recommendations by CDC should continue to be based on feedback solicited from STLT health departments. To fill identified gaps, CDC used these findings to create NPI guidance and materials to assist in prepandemic planning and preparedness for STLTs and various community settings.