Centre for Global Health Research, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada.
Popul Health Metr. 2010 Feb 11;8:1. doi: 10.1186/1478-7954-8-1.
Malaria in India has been difficult to measure. Mortality and morbidity are not comprehensively reported, impeding efforts to track changes in disease burden. However, a set of blood measures has been collected regularly by the National Malaria Control Program in most districts since 1958.
Here, we use principal components analysis to combine these measures into a single index, the Summary Index of Malaria Surveillance (SIMS), and then test its temporal and geographic stability using subsets of the data.
The SIMS correlates positively with all its individual components and with external measures of mortality and morbidity. It is highly consistent and stable over time (1995-2005) and regions of India. It includes measures of both vivax and falciparum malaria, with vivax dominant at lower transmission levels and falciparum dominant at higher transmission levels, perhaps due to ecological specialization of the species.
This measure should provide a useful tool for researchers looking to summarize geographic or temporal trends in malaria in India, and can be readily applied by administrators with no mathematical or scientific background. We include a spreadsheet that allows simple calculation of the index for researchers and local administrators. Similar principles are likely applicable worldwide, though further validation is needed before using the SIMS outside India.
印度的疟疾一直难以衡量。由于死亡率和发病率没有得到全面报告,因此难以跟踪疾病负担的变化。然而,自 1958 年以来,国家疟疾控制规划在大多数地区定期收集了一系列血液指标。
在这里,我们使用主成分分析将这些指标组合成一个单一的指数,即疟疾监测综合指数(SIMS),然后使用数据子集来测试其时间和地理稳定性。
SIMS 与所有单个指标以及死亡率和发病率的外部指标呈正相关。它在时间(1995-2005 年)和印度地区上具有高度的一致性和稳定性。它包括间日疟和恶性疟的指标,在低传播水平下以间日疟为主,在高传播水平下以恶性疟为主,这可能是由于物种的生态专业化。
该指标应该为研究人员提供一个有用的工具,用于总结印度疟疾的地理或时间趋势,并且可以由没有数学或科学背景的管理员轻松应用。我们包括了一个电子表格,允许研究人员和当地管理员简单地计算该指数。类似的原则可能在全球范围内适用,但在印度以外使用 SIMS 之前需要进一步验证。