Cargando…
NIH funding of COVID-19 research in 2020: a cross-sectional study
OBJECTIVE: This study aims to characterise and evaluate the National Institutes of Health’s (NIH’s) grant allocation speed and pattern of COVID-19 research. DESIGN: Cross-sectional study. SETTING: COVID-19 NIH RePORTER Dataset was used to identify COVID-19 relevant grants. PARTICIPANTS: 1108 grants...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096053/ https://www.ncbi.nlm.nih.gov/pubmed/35545399 http://dx.doi.org/10.1136/bmjopen-2021-059041 |
_version_ | 1784705889036402688 |
---|---|
author | Balaguru, Logesvar Dun, Chen Meyer, Andrea Hennayake, Sanuri Walsh, Christi Kung, Christopher Cary, Brittany Migliarese, Frank Dai, Tinglong Bai, Ge Sutcliffe, Kathleen Makary, Martin |
author_facet | Balaguru, Logesvar Dun, Chen Meyer, Andrea Hennayake, Sanuri Walsh, Christi Kung, Christopher Cary, Brittany Migliarese, Frank Dai, Tinglong Bai, Ge Sutcliffe, Kathleen Makary, Martin |
author_sort | Balaguru, Logesvar |
collection | PubMed |
description | OBJECTIVE: This study aims to characterise and evaluate the National Institutes of Health’s (NIH’s) grant allocation speed and pattern of COVID-19 research. DESIGN: Cross-sectional study. SETTING: COVID-19 NIH RePORTER Dataset was used to identify COVID-19 relevant grants. PARTICIPANTS: 1108 grants allocated to COVID-19 research. MAIN OUTCOMES AND MEASURES: The primary outcome was to determine the number of grants and funding amount the NIH allocated for COVID-19 by research type and clinical/scientific area. The secondary outcome was to calculate the time from the funding opportunity announcement to the award notice date. RESULTS: The NIH awarded a total of 56 169 grants in 2020, of which 2.0% (n=1108) wwas allocated for COVID-19 research. The NIH had a US$45.3 billion budget that year, of which 4.9% (US$2.2 billion) was allocated to COVID-19 research. The most common clinical/scientific areas were social determinants of health (n=278, 8.5% of COVID-19 funding), immunology (n=211, 25.8%) and pharmaceutical interventions research (n=208, 47.6%). There were 104 grants studying COVID-19 non-pharmaceutical interventions, of which 2 grants studied the efficacy of face masks and 6 studied the efficacy of social distancing. Of the 83 COVID-19 funded grants on transmission, 5 were awarded to study airborne transmission of COVID-19 and 2 grants on transmission of COVID-19 in schools. The average time from the funding opportunity announcement to the award notice date was 151 days (SD: ±57.9). CONCLUSION: In the first year of the pandemic, the NIH diverted a small fraction of its budget to COVID-19 research. Future health emergencies will require research funding to pivot in a timely fashion and funding levels to be proportional to the anticipated burden of disease in the population. |
format | Online Article Text |
id | pubmed-9096053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-90960532022-05-12 NIH funding of COVID-19 research in 2020: a cross-sectional study Balaguru, Logesvar Dun, Chen Meyer, Andrea Hennayake, Sanuri Walsh, Christi Kung, Christopher Cary, Brittany Migliarese, Frank Dai, Tinglong Bai, Ge Sutcliffe, Kathleen Makary, Martin BMJ Open Health Policy OBJECTIVE: This study aims to characterise and evaluate the National Institutes of Health’s (NIH’s) grant allocation speed and pattern of COVID-19 research. DESIGN: Cross-sectional study. SETTING: COVID-19 NIH RePORTER Dataset was used to identify COVID-19 relevant grants. PARTICIPANTS: 1108 grants allocated to COVID-19 research. MAIN OUTCOMES AND MEASURES: The primary outcome was to determine the number of grants and funding amount the NIH allocated for COVID-19 by research type and clinical/scientific area. The secondary outcome was to calculate the time from the funding opportunity announcement to the award notice date. RESULTS: The NIH awarded a total of 56 169 grants in 2020, of which 2.0% (n=1108) wwas allocated for COVID-19 research. The NIH had a US$45.3 billion budget that year, of which 4.9% (US$2.2 billion) was allocated to COVID-19 research. The most common clinical/scientific areas were social determinants of health (n=278, 8.5% of COVID-19 funding), immunology (n=211, 25.8%) and pharmaceutical interventions research (n=208, 47.6%). There were 104 grants studying COVID-19 non-pharmaceutical interventions, of which 2 grants studied the efficacy of face masks and 6 studied the efficacy of social distancing. Of the 83 COVID-19 funded grants on transmission, 5 were awarded to study airborne transmission of COVID-19 and 2 grants on transmission of COVID-19 in schools. The average time from the funding opportunity announcement to the award notice date was 151 days (SD: ±57.9). CONCLUSION: In the first year of the pandemic, the NIH diverted a small fraction of its budget to COVID-19 research. Future health emergencies will require research funding to pivot in a timely fashion and funding levels to be proportional to the anticipated burden of disease in the population. BMJ Publishing Group 2022-05-10 /pmc/articles/PMC9096053/ /pubmed/35545399 http://dx.doi.org/10.1136/bmjopen-2021-059041 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Health Policy Balaguru, Logesvar Dun, Chen Meyer, Andrea Hennayake, Sanuri Walsh, Christi Kung, Christopher Cary, Brittany Migliarese, Frank Dai, Tinglong Bai, Ge Sutcliffe, Kathleen Makary, Martin NIH funding of COVID-19 research in 2020: a cross-sectional study |
title | NIH funding of COVID-19 research in 2020: a cross-sectional study |
title_full | NIH funding of COVID-19 research in 2020: a cross-sectional study |
title_fullStr | NIH funding of COVID-19 research in 2020: a cross-sectional study |
title_full_unstemmed | NIH funding of COVID-19 research in 2020: a cross-sectional study |
title_short | NIH funding of COVID-19 research in 2020: a cross-sectional study |
title_sort | nih funding of covid-19 research in 2020: a cross-sectional study |
topic | Health Policy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096053/ https://www.ncbi.nlm.nih.gov/pubmed/35545399 http://dx.doi.org/10.1136/bmjopen-2021-059041 |
work_keys_str_mv | AT balagurulogesvar nihfundingofcovid19researchin2020acrosssectionalstudy AT dunchen nihfundingofcovid19researchin2020acrosssectionalstudy AT meyerandrea nihfundingofcovid19researchin2020acrosssectionalstudy AT hennayakesanuri nihfundingofcovid19researchin2020acrosssectionalstudy AT walshchristi nihfundingofcovid19researchin2020acrosssectionalstudy AT kungchristopher nihfundingofcovid19researchin2020acrosssectionalstudy AT carybrittany nihfundingofcovid19researchin2020acrosssectionalstudy AT migliaresefrank nihfundingofcovid19researchin2020acrosssectionalstudy AT daitinglong nihfundingofcovid19researchin2020acrosssectionalstudy AT baige nihfundingofcovid19researchin2020acrosssectionalstudy AT sutcliffekathleen nihfundingofcovid19researchin2020acrosssectionalstudy AT makarymartin nihfundingofcovid19researchin2020acrosssectionalstudy |