Accounting For Long-Term Manifestations Of Cryptosporidium Spp Infection In Burden Of Disease And Cost-Of-Illness Estimations, The Netherlands (2013-2017)

PLOS ONE(2019)

引用 8|浏览33
暂无评分
摘要
BackgroundBurden of disease (BoD) estimations are increasingly used to prioritize public health interventions. Previous Cryptosporidium BoD models accounted only for acute episodes, while there is increasing evidence of long-term manifestations. Our objective was to update Cryptosporidium BoD and cost-of-illness (COI) models and to estimate BoD and COI for the Netherlands in years 2013-2017.MethodsWe performed a scoping literature review and drew an outcome tree including long-term manifestations for which sufficient evidence was found, such as recurrent diarrhea and joint pain. We chose the Disability-Adjusted Life Year (DALY) metric to synthesize years of life lost due mortality (YLLs) and years lived with disability due to non-fatal outcomes (YLDs). For the costs, we adopted a societal perspective accounting for direct healthcare costs, patient costs and productivity losses. Uncertainty was managed using Latin Hypercube sampling (30,000 iterations).ResultsIn the Netherlands in 2017, we estimated 50,000 Cryptosporidium cases (95% uncertainty interval (UI): 15,000-102,000), 7,000 GP visits, 300 hospitalizations and 3 deaths, resulting in 137 DALYs (95% UI: 54-255) and (sic)19.2 million COI (95% UI: (sic)7.2 million-(sic)36.2 million). Estimates were highest for 2016 (218 DALYs and (sic)31.1 million in COI), and lowest in 2013 (100 DALYs and (sic)13.8 million in COI). Most of the BoD was attributable to YLD (approximate to 80% of DALYs). The most important cost was productivity losses (approximate to 90% of total COI). Long-term manifestations, including recurring diarrhea and joint pain, accounted for 9% of the total DALYs and 7% of the total COI.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要