TY - JOUR
T1 - Setting research priorities for global pandemic preparedness
T2 - An international consensus and comparison with ChatGPT's output
AU - Song, Peige
AU - Adeloye, Davies
AU - Acharya, Yubraj
AU - Bojude, Danladi Adamu
AU - Ali, Sajjad
AU - Alibudbud, Rowalt
AU - Bastien, Sheri
AU - Becerra-Posada, Francisco
AU - Berecki, Monika
AU - Bodomo, Adams
AU - Borrescio-Higa, Florencia
AU - Buchtova, Marie
AU - Campbell, Harry
AU - Chan, Kit Yee
AU - Cheema, Sohaila
AU - Chopra, Mickey
AU - Cipta, Darien Alfa
AU - Castro, Lina Diaz
AU - Ganasegeran, Kurubaran
AU - Gebre, Teshome
AU - Glasnović, Anton
AU - Graham, Christopher J
AU - Igwesi-Chidobe, Chinonso
AU - Iversen, Per Ole
AU - Jadoon, Bismeen
AU - Lanza, Giuseppe
AU - Macdonald, Calum
AU - Park, Chulwoo
AU - Islam, Mohammad Mainul
AU - Mshelia, Suleiman
AU - Nair, Harish
AU - Ng, Zhi Xiang
AU - Htay, Mila Nu Nu
AU - Akinyemi, Kabiru Olusegun
AU - Parisi, Michelle
AU - Patel, Smruti
AU - Peprah, Prince
AU - Polasek, Ozren
AU - Riha, Renata
AU - Rotarou, Elena S
AU - Sacks, Emma
AU - Sharov, Konstantin
AU - Stankov, Srdjan
AU - Supriyatiningsih, Wenang
AU - Sutan, Rosnah
AU - Tomlinson, Mark
AU - Tsai, Alexander C
AU - Tsimpida, Dialechti
AU - Vento, Sandro
AU - Glasnović, Josipa Vlasac
AU - Vokey, Laura B.
AU - Wang, Liang
AU - Wazny, Kerri
AU - Xu, Jingyi
AU - Yoshida, Sachiyo
AU - Zhang, Yanfeng
AU - Cao, Jin
AU - Zhu, Yajie
AU - Sheikh, Sir Aziz
AU - Rudan, Igor
N1 - Publisher Copyright:
Copyright © 2024 by the Journal of Global Health. All rights reserved.
PY - 2024/2/16
Y1 - 2024/2/16
N2 - BACKGROUND: In this priority-setting exercise, we sought to identify leading research priorities needed for strengthening future pandemic preparedness and response across countries.METHODS: The International Society of Global Health (ISoGH) used the Child Health and Nutrition Research Initiative (CHNRI) method to identify research priorities for future pandemic preparedness. Eighty experts in global health, translational and clinical research identified 163 research ideas, of which 42 experts then scored based on five pre-defined criteria. We calculated intermediate criterion-specific scores and overall research priority scores from the mean of individual scores for each research idea. We used a bootstrap (n = 1000) to compute the 95% confidence intervals.RESULTS: Key priorities included strengthening health systems, rapid vaccine and treatment production, improving international cooperation, and enhancing surveillance efficiency. Other priorities included learning from the coronavirus disease 2019 (COVID-19) pandemic, managing supply chains, identifying planning gaps, and promoting equitable interventions. We compared this CHNRI-based outcome with the 14 research priorities generated and ranked by ChatGPT, encountering both striking similarities and clear differences.CONCLUSIONS: Priority setting processes based on human crowdsourcing - such as the CHNRI method - and the output provided by ChatGPT are both valuable, as they complement and strengthen each other. The priorities identified by ChatGPT were more grounded in theory, while those identified by CHNRI were guided by recent practical experiences. Addressing these priorities, along with improvements in health planning, equitable community-based interventions, and the capacity of primary health care, is vital for better pandemic preparedness and response in many settings.
AB - BACKGROUND: In this priority-setting exercise, we sought to identify leading research priorities needed for strengthening future pandemic preparedness and response across countries.METHODS: The International Society of Global Health (ISoGH) used the Child Health and Nutrition Research Initiative (CHNRI) method to identify research priorities for future pandemic preparedness. Eighty experts in global health, translational and clinical research identified 163 research ideas, of which 42 experts then scored based on five pre-defined criteria. We calculated intermediate criterion-specific scores and overall research priority scores from the mean of individual scores for each research idea. We used a bootstrap (n = 1000) to compute the 95% confidence intervals.RESULTS: Key priorities included strengthening health systems, rapid vaccine and treatment production, improving international cooperation, and enhancing surveillance efficiency. Other priorities included learning from the coronavirus disease 2019 (COVID-19) pandemic, managing supply chains, identifying planning gaps, and promoting equitable interventions. We compared this CHNRI-based outcome with the 14 research priorities generated and ranked by ChatGPT, encountering both striking similarities and clear differences.CONCLUSIONS: Priority setting processes based on human crowdsourcing - such as the CHNRI method - and the output provided by ChatGPT are both valuable, as they complement and strengthen each other. The priorities identified by ChatGPT were more grounded in theory, while those identified by CHNRI were guided by recent practical experiences. Addressing these priorities, along with improvements in health planning, equitable community-based interventions, and the capacity of primary health care, is vital for better pandemic preparedness and response in many settings.
UR - http://www.scopus.com/inward/record.url?scp=85185865025&partnerID=8YFLogxK
U2 - 10.7189/jogh.14.04054
DO - 10.7189/jogh.14.04054
M3 - Article
C2 - 38386716
SN - 2047-2978
VL - 14
JO - Journal of Global Health
JF - Journal of Global Health
M1 - 4054
ER -