2026-10-13T05:11:16Z https://www.scidb.cn/oai

10.57760/sciencedb.011nm 2026-09-07T09:17:42Z

2026-09-07 Derived country-level data for historical disease burden and future prevention opportunities in COPD and lung cancer doi:10.57760/sciencedb.011nm en This dataset contains derived country-level and sensitivity data supporting the study “Divergence between historical disease burden and future prevention opportunities in COPD and lung cancer”. It includes country-level historical respiratory disease burden scores, 2030 prevention gaps, planning-context classifications, threshold sensitivity analyses, mortality scenario differences, welfare-equivalent values, and WHO policy-concordance data. The dataset covers 204 countries and territories; welfare estimates are available for 190 countries with complete valuation parameters. The dataset contains only derived, non-disclosive country-level results and does not include individual-level CHARLS data or restricted raw data from GBD, WHO, WDI, or WPP. COPD; lung cancer; historical disease burden; prevention gap; Global Burden of Disease; smoking; air pollution; global health Yiqing Xie Pengyu Huang Jiajun Tan Junyue Cao Hongting Lu Zhanyu Xu Dongming He Bingqi Huang Yuejun Huang Qijia Luo Xiaohong Duan Shikang Li PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank