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Table 1 Potential application of detailed travel data for planning interventions

From: Characterising malaria connectivity using malaria indicator survey data

Travel data improvement

Intervention strategy

Frequency of travel

Target specific interventions to frequent travellers, such as prophylaxis and protective measures

Time spent during trips

Identify areas where cumulative time at risk is higher and hence greater surveillance for ongoing transmission is granted

Greater geographic detail of destinations

Characterise the main sources of incoming parasites to guide adequate measures to control such foci

Characterising travellers by occupation/reasons for travel

Identify high risk groups to target at borders with specific interventions (e.g. travellers of certain professional occupation are prescribed prophylaxis during travel)

Identifying means of transportation

Guide optimal suite of interventions at borders; this can be enhanced by knowing the age structure of travellers (Fig. 6)