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2.
Health Secur ; 20(S1): S20-S30, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-2097246

ABSTRACT

The need for well-controlled clinical trials is fundamental to advancing medicine. Care should be taken to maintain high standards in trial design and conduct even during emergency medical events such as an infectious disease outbreak. In 2020, SARS-CoV-2 emerged and rapidly impacted populations around the globe. The need for effective therapeutics was immediately evident, prompting the National Institutes of Health to initiate the Adaptive COVID-19 Treatment Trial. The Special Pathogens Research Network, made up of 10 Regional Emerging Special Pathogens Treatment Centers, was approached to participate in this trial and readily joined the trial on short notice. By trial closure, the Special Pathogens Research Network sites, making up 19% of all study sites, enrolled 26% of the total participants. The initial resources available and experience in running clinical trials at each treatment center varied from minimal experience and few staff to extensive experience and a large staff. Based on experiences during the first phase of this trial, the Special Pathogens Research Network members provided feedback regarding operational lessons learned and recommendations for conducting future studies during a pandemic. Communication, collaboration, information technology, regulatory processes, and access to resources were identified as important topics to address. Key stakeholders including institutions, institutional review boards, and study personnel must maintain routine communication to efficiently and effectively activate when future research needs arise. Regular and standardized training for new personnel will aid in transitions and project continuity, especially in a rapidly evolving environment. Trainings should include local just-in-time training for new staff and sponsor-designed modules to refresh current staff knowledge. We offer recommendations that can be used by institutions and sponsors to determine goals and needs when preparing to set up this type of trial for critical, short-notice needs.


Subject(s)
COVID-19 Drug Treatment , Humans , National Institute of Allergy and Infectious Diseases (U.S.) , Pandemics/prevention & control , SARS-CoV-2 , United States
3.
Science ; 377(6611): 1137-1138, 2022 09 09.
Article in English | MEDLINE | ID: covidwho-2063971
4.
Nature ; 605(7911): 640-652, 2022 05.
Article in English | MEDLINE | ID: covidwho-1773987

ABSTRACT

The global emergence of many severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants jeopardizes the protective antiviral immunity induced after infection or vaccination. To address the public health threat caused by the increasing SARS-CoV-2 genomic diversity, the National Institute of Allergy and Infectious Diseases within the National Institutes of Health established the SARS-CoV-2 Assessment of Viral Evolution (SAVE) programme. This effort was designed to provide a real-time risk assessment of SARS-CoV-2 variants that could potentially affect the transmission, virulence, and resistance to infection- and vaccine-induced immunity. The SAVE programme is a critical data-generating component of the US Government SARS-CoV-2 Interagency Group to assess implications of SARS-CoV-2 variants on diagnostics, vaccines and therapeutics, and for communicating public health risk. Here we describe the coordinated approach used to identify and curate data about emerging variants, their impact on immunity and effects on vaccine protection using animal models. We report the development of reagents, methodologies, models and notable findings facilitated by this collaborative approach and identify future challenges. This programme is a template for the response to rapidly evolving pathogens with pandemic potential by monitoring viral evolution in the human population to identify variants that could reduce the effectiveness of countermeasures.


Subject(s)
COVID-19 , SARS-CoV-2 , Animals , Biological Evolution , COVID-19 Vaccines , Humans , National Institute of Allergy and Infectious Diseases (U.S.) , Pandemics/prevention & control , Pharmacogenomic Variants , SARS-CoV-2/genetics , SARS-CoV-2/pathogenicity , United States/epidemiology , Virulence
11.
Influenza Other Respir Viruses ; 14(4): 444-451, 2020 07.
Article in English | MEDLINE | ID: covidwho-72530

ABSTRACT

BACKGROUND: The Centers of Excellence for Influenza Research and Surveillance (CEIRS) network, funded by the US National Institutes of Health, has been operational since 2007 and is tasked with conducting research to improve understanding of influenza viruses. Recently, CEIRS developed an Influenza Response Plan (IRP) to improve science preparedness for the network. METHODS: Development of the IRP involved a collaborative process between project staff, CEIRS center directors or their designees, and NIAID CEIRS leadership (referred to as the Pandemic Planning Advisory Committee [PPAC]). Project staff identified and summarized the response capabilities of each center and then worked with the PPAC to identify and rank research priorities for an emergency response using a modified Delphi method. RESULTS: Key elements of the response plan include tables of response capabilities for each CEIRS center, a framework that outlines and ranks research priorities for CEIRS during an emergency situation, and an operational strategy for executing the research priorities. CONCLUSIONS: The CEIRS IRP highlights the importance of enhancing science preparedness in advance of an influenza pandemic or other influenza-related zoonotic incident to ensure that research can be carried out expeditiously and effectively in emergency situations and to improve global health security.


Subject(s)
Global Health , Health Planning/methods , Influenza, Human/prevention & control , Pandemics/prevention & control , Research , Science/methods , Health Planning/organization & administration , Humans , Influenza, Human/epidemiology , National Institute of Allergy and Infectious Diseases (U.S.) , Science/organization & administration , United States
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