Gunda Resign, Chimbari Moses John, Mukaratirwa Samson
School of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Howard Campus, Durban 4001, South Africa.
School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4000, South Africa.
Int J Environ Res Public Health. 2016 Feb 22;13(2):244. doi: 10.3390/ijerph13020244.
Malaria is one of the highest contributors to morbidity and mortality in Zimbabwe. However, there is paucity of knowledge regarding disability adjusted life years (DALYs) as a measure of burden of malaria in affected communities. The DALYs metric was used to assess the burden of malaria in Gwanda District with the aim of contributing to a better understanding of the impact of disease on affected communities. Data was collected from health facility malaria registers and the District Health Information System (DHIS) to estimate DALYs at household and district levels respectively. The household DALYs included 130 malaria cases from 2013 to 2015 while the DALYs for the district included 719 confirmed malaria cases from 2011 to 2015. Households lost a total of 153.89 DALYs with the majority of the disease burden (65.55%) occurring in the most economically productive age group (15-45 years) with a mean loss of 1.18 DALYs per malaria case. At district level, 251.09 DALYs were lost due to malaria and the calculated average district DALY rate for 2011-2015 was 36.29 DALYs/100,000 persons per year. It is important to estimate malaria burden to assist policy makers in making informed decisions when channelling resources for control and prevention of the disease.
疟疾是津巴布韦发病率和死亡率的主要促成因素之一。然而，关于残疾调整生命年（DALYs）作为受影响社区疟疾负担衡量指标的知识却很匮乏。本研究使用DALYs指标评估了万丹达区的疟疾负担，旨在促进对该疾病对受影响社区影响的更好理解。分别从医疗机构疟疾登记册和地区卫生信息系统（DHIS）收集数据，以估计家庭和地区层面的DALYs。家庭层面的DALYs包括2013年至2015年的130例疟疾病例，而该地区的DALYs包括2011年至2015年的719例确诊疟疾病例。家庭总共损失了153.89个DALYs，其中大部分疾病负担（65.55%）发生在经济生产能力最强的年龄组（15 - 45岁），每例疟疾病例平均损失1.18个DALYs。在地区层面，因疟疾损失了251.09个DALYs，2011 - 2015年计算得出的地区平均DALY率为每年36.29个DALYs/10万人。估计疟疾负担对于协助政策制定者在为疾病控制和预防分配资源时做出明智决策非常重要。
