Craig M H, Kleinschmidt I, Le Sueur D, Sharp B L
Malaria Research Programme, Medical Research Council, Durban, South Africa.
Trop Med Int Health. 2004 Dec;9(12):1258-66. doi: 10.1111/j.1365-3156.2004.01341.x.
Malaria transmission is a multifactorial phenomenon. Climate is a major limiting factor in the spatial and temporal distribution of malaria, but many non-climatic factors may alter or override the effect of climate. Thirty years of monthly malaria incidence data from KwaZulu-Natal province, South Africa, reveal strong medium and long-term trends, which were not present in the climate data. This paper explores various non-climatic factors that may have contributed towards the observed trends. The development of antimalarial drug resistance, available information on human immunodeficiency virus (HIV) prevalence, cross-border people movements, agricultural activities, emergence of insecticide resistance and the case reporting system are reviewed and their potential effect on malaria transmission examined. Single-variable linear regression analysis showed significant association between seasonal case totals (log-transformed) and the measured level of drug resistance (log-transformed) (r2=0.558, n=10, P=0.013) as well as relative measures of HIV infection since 1990 (r2=0.846, n=11, P=0.001). The other factors appear to have affected the level of malaria transmission at certain periods and to some degree. The importance of surveillance and inclusion of non-climatic variables in analysis of malaria data is demonstrated.
疟疾传播是一个多因素现象。气候是疟疾时空分布的主要限制因素,但许多非气候因素可能改变或抵消气候的影响。来自南非夸祖鲁 - 纳塔尔省的30年月度疟疾发病率数据揭示了强烈的中长期趋势,而这些趋势在气候数据中并不存在。本文探讨了可能导致观察到的趋势的各种非气候因素。对抗疟药物耐药性的发展、人类免疫缺陷病毒(HIV)流行情况的现有信息、跨境人员流动、农业活动、杀虫剂耐药性的出现以及病例报告系统进行了综述,并研究了它们对疟疾传播的潜在影响。单变量线性回归分析表明,季节性病例总数(对数转换)与耐药性测量水平(对数转换)之间存在显著关联(r2 = 0.558,n = 10,P = 0.013),以及自1990年以来HIV感染的相对指标之间也存在显著关联(r2 = 0.846,n = 11,P = 0.001)。其他因素似乎在某些时期并在一定程度上影响了疟疾传播水平。证明了监测以及在疟疾数据分析中纳入非气候变量的重要性。