Smith Thomas A, Chitnis Nakul, Penny Melissa, Tanner Marcel
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel CH 4002, Switzerland; and University of Basel, Basel CH 4001, Switzerland.
Cold Spring Harb Perspect Med. 2017 Apr 3;7(4):a025460. doi: 10.1101/cshperspect.a025460.
Mathematical models provide the essential basis of rational research and development strategies in malaria, informing the choice of which technologies to target, which deployment strategies to consider, and which populations to focus on. The Internet and remote sensing technologies also enable assembly of ever more relevant field data. Together with supercomputing technology, this has made available timely descriptions of the geography of malaria transmission and disease across the world and made it possible for policy and planning to be informed by detailed simulations of the potential impact of intervention programs. These information technology advances do not replace the basic understanding of the dynamics of malaria transmission that should be embedded in the thinking of anyone planning malaria interventions. The appropriate use of modeling may determine whether we are living in an era of hubris or indeed in an age of eradication.
数学模型为疟疾合理的研究与开发策略提供了重要基础,有助于确定针对哪些技术、考虑哪些部署策略以及关注哪些人群。互联网和遥感技术也使得收集更具相关性的实地数据成为可能。与超级计算技术相结合,这使得能够及时描述全球疟疾传播和疾病的地理分布,并通过对干预项目潜在影响的详细模拟为政策制定和规划提供依据。这些信息技术的进步并不能取代对疟疾传播动态的基本理解,而这种理解应融入到任何规划疟疾干预措施的人的思维中。建模的恰当运用可能决定我们是生活在一个狂妄自大的时代,还是真正处于一个根除疟疾的时代。