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J Glob Health
. 2024 Feb 16:14:04054.
doi: 10.7189/jogh.14.04054. Setting research priorities for global pandemic preparedness: An international consensus and comparison with ChatGPT's output
Peige Song # 1 , Davies Adeloye # 2 , Yubraj Acharya 3 , Danladi Adamu Bojude 4 , Sajjad Ali 5 , Rowalt Alibudbud 6 , Sheri Bastien 7 , Francisco Becerra-Posada 8 , Monika Berecki 9 , Adams Bodomo 10 , Florencia Borrescio-Higa 11 , Marie Buchtova 12 , Harry Campbell 13 , Kit Yee Chan 13 14 , Sohaila Cheema 15 , Mickey Chopra 16 , Darien Alfa Cipta 17 , Lina Diaz Castro 18 , Kurubaran Ganasegeran 19 , Teshome Gebre 20 , Anton Glasnović 21 , Christopher J Graham 22 , Chinonso Igwesi-Chidobe 23 24 , Per Ole Iversen 25 , Bismeen Jadoon 26 , Giuseppe Lanza 27 28 , Calum Macdonald 13 , Chulwoo Park 29 , Mohammad Mainul Islam 30 , Suleiman Mshelia 31 , Harish Nair 13 , Zhi Xiang Ng 32 , Mila Nu Nu Htay 33 , Kabiru Olusegun Akinyemi 34 , Michelle Parisi 35 , Smruti Patel 36 , Prince Peprah 37 , Ozren Polasek 38 39 , Renata Riha 40 , Elena S Rotarou 41 , Emma Sacks 42 , Konstantin Sharov 43 , Srdjan Stankov 44 , Wenang Supriyatiningsih 45 , Rosnah Sutan 46 , Mark Tomlinson 47 , Alexander C Tsai 48 , Dialechti Tsimpida 49 , Sandro Vento 50 , Josipa Vlasac Glasnović 51 , Liang Wang 52 , Kerri Wazny 53 , Jingyi Xu 54 , Sachiyo Yoshida 55 , Yanfeng Zhang 56 , Jin Cao 1 , Yajie Zhu 57 , Aziz Sheikh 58 , Igor Rudan 13 38 ; International Society of Global Health (ISoGH)
Affiliations
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.
. 2024 Feb 16:14:04054.
doi: 10.7189/jogh.14.04054. Setting research priorities for global pandemic preparedness: An international consensus and comparison with ChatGPT's output
Peige Song # 1 , Davies Adeloye # 2 , Yubraj Acharya 3 , Danladi Adamu Bojude 4 , Sajjad Ali 5 , Rowalt Alibudbud 6 , Sheri Bastien 7 , Francisco Becerra-Posada 8 , Monika Berecki 9 , Adams Bodomo 10 , Florencia Borrescio-Higa 11 , Marie Buchtova 12 , Harry Campbell 13 , Kit Yee Chan 13 14 , Sohaila Cheema 15 , Mickey Chopra 16 , Darien Alfa Cipta 17 , Lina Diaz Castro 18 , Kurubaran Ganasegeran 19 , Teshome Gebre 20 , Anton Glasnović 21 , Christopher J Graham 22 , Chinonso Igwesi-Chidobe 23 24 , Per Ole Iversen 25 , Bismeen Jadoon 26 , Giuseppe Lanza 27 28 , Calum Macdonald 13 , Chulwoo Park 29 , Mohammad Mainul Islam 30 , Suleiman Mshelia 31 , Harish Nair 13 , Zhi Xiang Ng 32 , Mila Nu Nu Htay 33 , Kabiru Olusegun Akinyemi 34 , Michelle Parisi 35 , Smruti Patel 36 , Prince Peprah 37 , Ozren Polasek 38 39 , Renata Riha 40 , Elena S Rotarou 41 , Emma Sacks 42 , Konstantin Sharov 43 , Srdjan Stankov 44 , Wenang Supriyatiningsih 45 , Rosnah Sutan 46 , Mark Tomlinson 47 , Alexander C Tsai 48 , Dialechti Tsimpida 49 , Sandro Vento 50 , Josipa Vlasac Glasnović 51 , Liang Wang 52 , Kerri Wazny 53 , Jingyi Xu 54 , Sachiyo Yoshida 55 , Yanfeng Zhang 56 , Jin Cao 1 , Yajie Zhu 57 , Aziz Sheikh 58 , Igor Rudan 13 38 ; International Society of Global Health (ISoGH)
Affiliations
- PMID: 38386716
- DOI: 10.7189/jogh.14.04054
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.