Geographical data collected on participants in countries with heterogeneous malaria risk. Geo-located points were captured every 15 minutes; more geo-located points correspond to a higher proportion of time spent in that area
| . | Brazil . | India . | Thailand . | Peru . |
|---|---|---|---|---|
| Number of travellers | 183 | 145 | 135 | 95 |
| Number of travellers with GPS information (%)a | 178 (97%) | 142 (98%) | 129 (96%) | 89 (94%) |
| Number of geo-located points | 972 862 | 625 032 | 685 160 | 263 921 |
| Number of geo-located points within high-risk malaria areas (%) | 178 (0.02%) | 0 (0%) | 30b (0.004%) | 523 (2%) |
| Number of travellers visiting an area with any malaria risk (%)a | 34 (19%) | 142 (100%) | 129 (100%) | 35 (39%) |
| Number of travellers in malaria risk areasa | ||||
| High risk | 6 (3%) | 0 (0%) | 3b (2%) | 4 (4%) |
| Low risk | 24 (13%) | 5 (4%) | 3 (2%) | 5 (6%) |
| Minimal risk | 20 (11%) | 141 (99%) | 129 (100%) | 29 (33%) |
| . | Brazil . | India . | Thailand . | Peru . |
|---|---|---|---|---|
| Number of travellers | 183 | 145 | 135 | 95 |
| Number of travellers with GPS information (%)a | 178 (97%) | 142 (98%) | 129 (96%) | 89 (94%) |
| Number of geo-located points | 972 862 | 625 032 | 685 160 | 263 921 |
| Number of geo-located points within high-risk malaria areas (%) | 178 (0.02%) | 0 (0%) | 30b (0.004%) | 523 (2%) |
| Number of travellers visiting an area with any malaria risk (%)a | 34 (19%) | 142 (100%) | 129 (100%) | 35 (39%) |
| Number of travellers in malaria risk areasa | ||||
| High risk | 6 (3%) | 0 (0%) | 3b (2%) | 4 (4%) |
| Low risk | 24 (13%) | 5 (4%) | 3 (2%) | 5 (6%) |
| Minimal risk | 20 (11%) | 141 (99%) | 129 (100%) | 29 (33%) |
aParticipants could visit more than one type of risk area; therefore, columns sum up to more than total number of participants.
bThailand travellers only encountered high-risk areas when travelling along and over the border with Myanmar.
Geographical data collected on participants in countries with heterogeneous malaria risk. Geo-located points were captured every 15 minutes; more geo-located points correspond to a higher proportion of time spent in that area
| . | Brazil . | India . | Thailand . | Peru . |
|---|---|---|---|---|
| Number of travellers | 183 | 145 | 135 | 95 |
| Number of travellers with GPS information (%)a | 178 (97%) | 142 (98%) | 129 (96%) | 89 (94%) |
| Number of geo-located points | 972 862 | 625 032 | 685 160 | 263 921 |
| Number of geo-located points within high-risk malaria areas (%) | 178 (0.02%) | 0 (0%) | 30b (0.004%) | 523 (2%) |
| Number of travellers visiting an area with any malaria risk (%)a | 34 (19%) | 142 (100%) | 129 (100%) | 35 (39%) |
| Number of travellers in malaria risk areasa | ||||
| High risk | 6 (3%) | 0 (0%) | 3b (2%) | 4 (4%) |
| Low risk | 24 (13%) | 5 (4%) | 3 (2%) | 5 (6%) |
| Minimal risk | 20 (11%) | 141 (99%) | 129 (100%) | 29 (33%) |
| . | Brazil . | India . | Thailand . | Peru . |
|---|---|---|---|---|
| Number of travellers | 183 | 145 | 135 | 95 |
| Number of travellers with GPS information (%)a | 178 (97%) | 142 (98%) | 129 (96%) | 89 (94%) |
| Number of geo-located points | 972 862 | 625 032 | 685 160 | 263 921 |
| Number of geo-located points within high-risk malaria areas (%) | 178 (0.02%) | 0 (0%) | 30b (0.004%) | 523 (2%) |
| Number of travellers visiting an area with any malaria risk (%)a | 34 (19%) | 142 (100%) | 129 (100%) | 35 (39%) |
| Number of travellers in malaria risk areasa | ||||
| High risk | 6 (3%) | 0 (0%) | 3b (2%) | 4 (4%) |
| Low risk | 24 (13%) | 5 (4%) | 3 (2%) | 5 (6%) |
| Minimal risk | 20 (11%) | 141 (99%) | 129 (100%) | 29 (33%) |
aParticipants could visit more than one type of risk area; therefore, columns sum up to more than total number of participants.
bThailand travellers only encountered high-risk areas when travelling along and over the border with Myanmar.
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