The tibialis anterior response revisited

The idiomuscular response to direct percussion is rarely tested nowadays because of its uncertain mechanism and significance. While performing neurological examination, we observed a brisk ankle dorsiflexion response on direct muscle percussion of m. tibialis anterior in patients with acute inflammatory demyelinating polyradiculoneuropathy (AIDP). In contrast, in patients with upper motor neuron lesions, an ankle inversion response was seen. In this article we describe our findings in patients with bilateral lower limb weakness. We assessed 73 consecutive patients with bilateral lower limb weakness. A strong dorsiflexion response to percussion of m. tibialis anterior was seen in 11 out of 14 patients with AIDP (sensitivity 78.6 %). None of the other patients showed a strong dorsiflexion response (specificity 100 %). An inversion response was seen in 11 out of 13 patients with UMN involvement (sensitivity 92.3 %). It was also noted in two of 46 patients without proven UMN involvement (specificity 96.7 %). The idiomuscular response to percussion of m. tibialis anterior can be useful in the assessment of patients with lower limb weakness of unclear cause

Human movement data for malaria control and elimination strategic planning

ABSTRACT: Recent increases in funding for malaria control have led to the reduction in transmission in many malaria endemic countries, prompting the national control programmes of 36 malaria endemic countries to set elimination targets. Accounting for human population movement (HPM) in planning for control, elimination and post-elimination surveillance is important, as evidenced by previous elimination attempts that were undermined by the reintroduction of malaria through HPM. Strategic control and elimination planning, therefore, requires quantitative information on HPM patterns and the translation of these into parasite dispersion. HPM patterns and the risk of malaria vary substantially across spatial and temporal scales, demographic and socioeconomic sub-groups, and motivation for travel, so multiple data sets are likely required for quantification of movement. While existing studies based on mobile phone call record data combined with malaria transmission maps have begun to address within-country HPM patterns, other aspects remain poorly quantified despite their importance in accurately gauging malaria movement patterns and building control and detection strategies, such as cross-border HPM, demographic and socioeconomic stratification of HPM patterns, forms of transport, personal malaria protection and other factors that modify malaria risk. A wealth of data exist to aid filling these gaps, which, when combined with spatial data on transport infrastructure, traffic and malaria transmission, can answer relevant questions to guide strategic planning. This review aims to (i) discuss relevant types of HPM across spatial and temporal scales, (ii) document where datasets exist to quantify HPM, (iii) highlight where data gaps remain and (iv) briefly put forward methods for integrating these datasets in a Geographic Information System (GIS) framework for analysing and modelling human population and Plasmodium falciparum malaria infection movements