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dc.contributor.author Song, Peige
dc.contributor.author Adeloye, Davies
dc.contributor.author Acharya, Yubraj
dc.contributor.author Bojude, Danladi Adamu
dc.contributor.author Ali, Sajjad
dc.contributor.author Alibudbud, Rowalt
dc.contributor.author Bastien, Sheri
dc.contributor.author Becerra-Posada, Francisco
dc.contributor.author Berecki, Monika
dc.contributor.author Bodomo, Adams
dc.contributor.author Borrescio-Higa, Florencia
dc.contributor.author Buchtova, Marie
dc.contributor.author Campbell, Harry
dc.contributor.author Chan, Kit Yee
dc.contributor.author Cheema, Sohaila
dc.contributor.author Chopra, Mickey
dc.contributor.author Cipta, Darien Alfa
dc.contributor.author Castro, Lina Diaz
dc.contributor.author Ganasegeran, Kurubaran
dc.contributor.author Gebre, Teshome
dc.contributor.author Glasnović, Anton
dc.contributor.author Graham, Christopher J.
dc.contributor.author Igwesi-Chidobe, Chinonso
dc.contributor.author Iversen, Per Ole
dc.contributor.author Jadoon, Bismeen
dc.contributor.author Lanza, Giuseppe
dc.contributor.author Macdonald, Calum
dc.contributor.author Park, Chulwoo
dc.contributor.author Islam, Mohammad Mainul
dc.contributor.author Mshelia, Suleiman
dc.contributor.author Nair, Harish
dc.contributor.author Ng, Zhi Xiang
dc.contributor.author Htay, Mila Nu Nu
dc.contributor.author Akinyemi, Kabiru Olusegun
dc.contributor.author Parisi, Michelle
dc.contributor.author Patel, Smruti
dc.contributor.author Peprah, Prince
dc.contributor.author Polasek, Ozren
dc.contributor.author Riha, Renata
dc.contributor.author Rotarou, Elena S.
dc.contributor.author Sacks, Emma
dc.contributor.author Sharov, Konstantin
dc.contributor.author Stankov, Srdjan
dc.contributor.author Supriyatiningsih, Wenang
dc.contributor.author Sutan, Rosnah
dc.contributor.author Tomlinson, Mark
dc.contributor.author Tsai, Alexander C.
dc.contributor.author Tsimpida, Dialechti
dc.contributor.author Vento, Sandro
dc.contributor.author Glasnović, Josipa Vlasac
dc.contributor.author Vokey, Laura B.
dc.contributor.author Wang, Liang
dc.contributor.author Wazny, Kerri
dc.contributor.author Xu, Jingyi
dc.contributor.author Yoshida, Sachiyo
dc.contributor.author Zhang, Yanfeng
dc.contributor.author Cao, Jin
dc.contributor.author Zhu, Yajie
dc.contributor.author Sheikh, Sir Aziz
dc.contributor.author Rudan, Igor
dc.date.accessioned 2025-03-07T10:20:02Z
dc.date.available 2025-03-07T10:20:02Z
dc.date.issued 2024-02-16
dc.identifier.issn 2047-2978
dc.identifier.uri https://repositorio.uss.cl/handle/uss/19114
dc.description Publisher Copyright: © 2024 The Author(s)
dc.description.abstract 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. en
dc.language.iso eng
dc.relation.ispartof vol. 14 Issue: Pages: 1
dc.source Journal of Global Health
dc.title Setting research priorities for global pandemic preparedness: An international consensus and comparison with ChatGPT’s output : An international consensus and comparison with ChatGPT’s output en
dc.type Artículo
dc.identifier.doi 10.7189/JOGH.14.04054
dc.publisher.department Facultad de Medicina y Ciencia


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