Swiss Tropical and Public Health Institute, Socinstrasse 57, Basel 4002, Switzerland; University of Basel, Basel 4003, Switzerland.
Swiss Tropical and Public Health Institute, Socinstrasse 57, Basel 4002, Switzerland; University of Basel, Basel 4003, Switzerland.
J Theor Biol. 2018 Oct 14;455:118-130. doi: 10.1016/j.jtbi.2018.07.007. Epub 2018 Jul 11.
Malaria and some other tropical diseases are currently targeted for elimination and eventually eradication. Since resources are limited, prioritisation of countries or areas for elimination is often necessary. However, this prioritisation is frequently conducted in an ad hoc manner. Lower transmission areas are usually targeted for elimination first, but for some areas this necessitates long and potentially expensive surveillance programs while transmission is eliminated from neighbouring higher transmission areas. We use a mathematical model to compare the implications of prioritisation choices in reducing overall burden and costs. We show that when the duration of the elimination program is independent of the transmission potential, burden is always reduced most by targeting high transmission areas first, but to reduce costs the optimal ordering depends on the actual transmission levels. In general, when overall transmission potential is low and the surveillance cost per secondary case compared to the cost per imported case is low, targeting the higher transmission area for elimination first is favoured.
疟疾和其他一些热带病目前是消除和最终根除的目标。由于资源有限,通常需要对国家或地区进行消除的优先级排序。然而,这种优先级排序通常是临时性的。通常首先针对低传播地区进行消除,但对于一些地区,这需要长期且潜在昂贵的监测计划,而传播则从相邻的高传播地区消除。我们使用数学模型来比较减少总体负担和成本的优先级选择的影响。我们表明,当消除计划的持续时间与传播潜力无关时,首先针对高传播地区进行目标定位总是会最大程度地减少负担,但为了降低成本,最佳排序取决于实际的传播水平。一般来说,当总体传播潜力较低且每例继发病例的监测成本与每例输入病例的成本相比较低时,首先针对较高的传播地区进行消除更为有利。