Grigg Matthew J, Cox Jonathan, William Timothy, Jelip Jenarun, Fornace Kimberly M, Brock Patrick M, von Seidlein Lorenz, Barber Bridget E, Anstey Nicholas M, Yeo Tsin W, Drakeley Christopher J
Global and Tropical Health Division, Menzies School of Health Research and Charles Darwin University, Darwin, NT, Australia; Infectious Diseases Society Sabah-Menzies School of Health Research Clinical Research Unit, Kota Kinabalu, Sabah, Malaysia.
London School of Hygiene & Tropical Medicine, London, UK.
Lancet Planet Health. 2017 Jun 9;1(3):e97-e104. doi: 10.1016/S2542-5196(17)30031-1.
The emergence of human malaria due to the monkey parasite threatens elimination efforts in southeast Asia. Changes in land use are thought to be driving the rise in reported cases, but the role of individual-level factors is unclear. To address this knowledge gap we assessed human and environmental factors associated with zoonotic knowlesi malaria risk.
We did this population-based case-control study over a 2 year period in the state of Sabah in Malaysia. We enrolled cases with microscopy-positive, PCR-confirmed malaria who presented to two primary referral hospitals serving the adjacent districts of Kudat and Kota Marudu. We randomly selected three malaria-negative community controls per case, who were matched by village within 2 weeks of case detection. We obtained questionnaire data on demographics, behaviour, and residential malaria risk factors, and we also assessed glucose-6-phosphate dehydrogenase (G6PD) enzyme activity. We used conditional logistic regression models to evaluate exposure risk between cases and controls, and between and human-only spp malaria cases.
From Dec 5, 2012, to Jan 30, 2015, we screened 414 patients and subsequently enrolled 229 cases with malaria mono-infection and 91 cases with other spp infection. We enrolled 953 matched controls, including 683 matched to cases and 270 matched to non- cases. Age 15 years or older (adjusted odds ratio [aOR] 4·16, 95% CI 2·09-8·29, p<0·0001), male gender (4·20, 2·54-6·97, p<0·0001), plantation work (3·50, CI, 1·34-9·15, p=0·011), sleeping outside (3·61, 1·48-8·85, p=0·0049), travel (2·48, 1·45-4·23, p=0·0010), being aware of the presence of monkeys in the past 4 weeks (3·35, 1·91-5·88, p<0·0001), and having open eaves or gaps in walls (2·18, 1·33-3·59, p=0·0021) were independently associated with increased risk of symptomatic infection. Farming occupation (aOR 1·89, 95% CI 1·07-3·35, p=0·028), clearing vegetation (1·89, 1·11-3·22, p=0·020), and having long grass around the house (2·08, 1·25-3·46, p=0·0048) increased risk for infection but not other spp infection. G6PD deficiency seemed to be protective against (aOR 0·20, 95% CI 0·04-0·96, p=0·045), as did residual insecticide spraying of household walls (0·52, 0·31-0·87, p=0·014), with the presence of young sparse forest (0·35, 0·20-0·63, p=00040) and rice paddy around the house (0·16, 0·03-0·78, 0·023) also associated with decreased risk.
Adult men working in agricultural areas were at highest risk of knowlesi malaria, although peri-domestic transmission also occurrs. Human behavioural factors associated with transmission could be targeted in future public health interventions.
United Kingdom Medical Research Council, Natural Environment Research Council, Economic and Social Research Council, and Biotechnology and Biosciences Research Council.
由猴疟原虫引起的人类疟疾的出现威胁着东南亚的疟疾消除工作。土地利用变化被认为是报告病例增加的原因,但个体层面因素的作用尚不清楚。为填补这一知识空白,我们评估了与人畜共患诺氏疟疾风险相关的人类和环境因素。
我们在马来西亚沙巴州进行了为期2年的基于人群的病例对照研究。我们纳入了在两家为古达和哥打马鲁杜相邻地区服务的主要转诊医院就诊的、经显微镜检查呈阳性且经聚合酶链反应确认的疟疾患者。我们为每个病例随机选择3名疟疾阴性的社区对照,在病例检测后2周内在村内进行匹配。我们收集了关于人口统计学、行为和居住疟疾风险因素的问卷数据,还评估了葡萄糖-6-磷酸脱氢酶(G6PD)酶活性。我们使用条件逻辑回归模型来评估病例与对照之间以及诺氏疟原虫感染病例与仅感染人类疟原虫病例之间的暴露风险。
从2012年12月5日至2015年1月30日,我们筛查了414名患者,随后纳入了229例诺氏疟原虫单一感染病例和91例其他疟原虫感染病例。我们纳入了953名匹配对照,其中683名与诺氏疟原虫感染病例匹配,270名与非诺氏疟原虫感染病例匹配。15岁及以上(调整比值比[aOR]4.16,95%置信区间2.09 - 8.29,p<0.0001)、男性(4.20,2.54 - 6.97,p<0.000)、种植园工作(3.50,置信区间1.34 - 9.15,p = 0.011)、睡在户外(3.61,1.48 - 8.85,p = 0.0049)、旅行(2.48,1.45 - 4.23,p = 0.0010)、在过去4周内知晓有猴子存在(3.35,1.91 - 5.88,p<0.0001)以及墙壁有开放屋檐或缝隙(2.18,1.33 - 3.59,p = 0.0021)与有症状诺氏疟原虫感染风险增加独立相关。从事农业职业(aOR 1.89,95%置信区间1.07 - 3.35,p = 0.028)、清理植被(1.89,1.11 - 3.22,p = 0.020)以及房屋周围有长草(2. .08,1.25 - 3.46,p = 0.0048)会增加诺氏疟原虫感染风险,但不会增加其他疟原虫感染风险。G6PD缺乏似乎对诺氏疟原虫感染有保护作用(aOR 0.20,95%置信区间0.%04 - 0.96,p = 0.045),对房屋墙壁进行残留杀虫剂喷洒也有保护作用(%0.52,0.31 - 0.87,p = 0.014),房屋周围有年轻稀疏森林(0.35,0.20 - 0.63,p = 0.0040)和稻田(0.16,0.03 - 0.78,p = 0.023)也与感染风险降低相关。
在农业地区工作的成年男性感染诺氏疟疾的风险最高,尽管家庭周边传播也会发生。在未来的公共卫生干预中,可以针对与诺氏疟原虫传播相关的人类行为因素。
英国医学研究理事会、自然环境研究理事会、经济和社会研究理事会以及生物技术和生物科学研究理事会。