Knobel Darryn L, Cleaveland Sarah, Coleman Paul G, Fèvre Eric M, Meltzer Martin I, Miranda M Elizabeth G, Shaw Alexandra, Zinsstag Jakob, Meslin François-Xavier
Centre for Tropical Veterinary Medicine, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Roslin, Midlothian EH25 9RG, Scotland.
Bull World Health Organ. 2005 May;83(5):360-8. Epub 2005 Jun 24.
To quantify the public health and economic burden of endemic canine rabies in Africa and Asia.
Data from these regions were applied to a set of linked epidemiological and economic models. The human population at risk from endemic canine rabies was predicted using data on dog density, and human rabies deaths were estimated using a series of probability steps to determine the likelihood of clinical rabies developing in a person after being bitten by a dog suspected of having rabies. Model outputs on mortality and morbidity associated with rabies were used to calculate an improved disability-adjusted life year (DALY) score for the disease. The total societal cost incurred by the disease is presented.
Human mortality from endemic canine rabies was estimated to be 55 000 deaths per year (90% confidence interval (CI) = 24 000-93 000). Deaths due to rabies are responsible for 1.74 million DALYs lost each year (90% CI = 0.75-2.93). An additional 0.04 million DALYs are lost through morbidity and mortality following side-effects of nerve-tissue vaccines. The estimated annual cost of rabies is USD 583.5 million (90% CI = USD 540.1-626.3 million). Patient-borne costs for post-exposure treatment form the bulk of expenditure, accounting for nearly half the total costs of rabies.
Rabies remains an important yet neglected disease in Africa and Asia. Disparities in the affordability and accessibility of post-exposure treatment and risks of exposure to rabid dogs result in a skewed distribution of the disease burden across society, with the major impact falling on those living in poor rural communities, in particular children.
量化非洲和亚洲地方性犬类狂犬病的公共卫生和经济负担。
将来自这些地区的数据应用于一系列相互关联的流行病学和经济模型。利用犬只密度数据预测面临地方性犬类狂犬病风险的人群,并通过一系列概率步骤估计人类狂犬病死亡人数,以确定被疑似患有狂犬病的犬只咬伤后临床狂犬病发病的可能性。狂犬病相关死亡率和发病率的模型输出用于计算该疾病改进后的伤残调整生命年(DALY)得分。列出了该疾病产生的社会总成本。
据估计,地方性犬类狂犬病导致的人类年死亡人数为55000人(90%置信区间(CI)=24000 - 93000)。狂犬病导致的死亡每年造成174万伤残调整生命年损失(90%CI = 0.75 - 2.93)。神经组织疫苗副作用导致的发病和死亡又额外造成40000伤残调整生命年损失。狂犬病的估计年度成本为5.835亿美元(90%CI = 5.401 - 6.263亿美元)。暴露后治疗的患者自付费用占支出的大部分,几乎占狂犬病总成本的一半。
狂犬病在非洲和亚洲仍然是一种重要但被忽视的疾病。暴露后治疗的可负担性和可及性差异以及接触狂犬病犬只的风险导致疾病负担在社会中分布不均,主要影响落在生活在贫困农村社区的人群,尤其是儿童身上。