Arbomap: Mapping dengue virus transmission intensity

Arbomap is an interactive global dashboard estimating where, when and how intensely dengue virus circulates. It draws on decades of seroprevalence and case data, run through transmission models, to produce country- and subnational-level estimates of dengue force of infection (FOI) — the rate at which susceptible people are infected over time.

For DeZi partners, Arbomap is a complementary lens to ArboTracker: ArboTracker shows what has been measured (study-by-study seroprevalence and outbreak detections); Arbomap synthesises those data into a coherent risk surface that informs where vaccination, vector control and surveillance investments will have the most impact. Although DeZi spans +20 countries, Arbomap covers 24% of its admin-1 regions through DeZi territory. The network sits squarely on the highest-transmission belt of the planet.

19 / 20
DeZi countries mapped
All except São Tomé & Príncipe
10,252
Admin-2 districts
~24% of Arbomap's global units
0.090
Mean force of infection
vs 0.072 globally
15 / 19
Countries hyperendemic
Mean FOI > 0.05

By country

Philippines
Mean FOI 0.130
Hotspot: Misamis Oriental (0.183)
Serop@9: 67.4%
81 admin-1 · 1,643 admin-2
Indonesia
Mean FOI 0.127
Hotspot: Jakarta Raya (0.162)
Serop@9: 67.6%
34 admin-1 · 501 admin-2
Brazil
Mean FOI 0.116
Hotspot: Maranhão (0.200)
Serop@9: 59.0%
27 admin-1 · 5,572 admin-2
Nicaragua
Mean FOI 0.114
Hotspot: Granada (0.129)
Serop@9: 63.9%
18 admin-1 · 139 admin-2
Cambodia
Mean FOI 0.109
Hotspot: Krong Preah Sihanouk (0.121)
Serop@9: 62.0%
25 admin-1 · 202 admin-2
Malaysia
Mean FOI 0.106
Hotspot: Melaka (0.114)
Serop@9: 61.4%
16 admin-1 · 144 admin-2
Singapore
Mean FOI 0.097
Hotspot: West (0.103)
Serop@9: 58.0%
5 admin-1 regions
La Réunion
Mean FOI 0.097
Hotspot: Saint-Benoît (0.103)
Serop@9: 57.4%
4 admin-1 · 24 admin-2
French Polynesia
Mean FOI 0.096
Hotspot: Îles du Vent (0.106)
Serop@9: 57.4%
5 admin-1 regions
Ecuador
Mean FOI 0.091
Hotspot: Pichincha (0.117)
Serop@9: 55.4%
24 admin-1 · 223 admin-2
Sri Lanka
Mean FOI 0.078
Hotspot: Colombo (0.104)
Serop@9: 49.4%
25 admin-1 · 323 admin-2
Cabo Verde
Mean FOI 0.073
Hotspot: Santa Catarina do Fogo (0.102)
Serop@9: 47.2%
22 admin-1 regions
DR Congo
Mean FOI 0.068
Hotspot: Lomami (0.076)
Serop@9: 45.5%
26 admin-1 · 240 admin-2
Guinea-Bissau
Mean FOI 0.060
Hotspot: Tombali (0.074)
Serop@9: 41.1%
9 admin-1 · 37 admin-2
Angola
Mean FOI 0.051
Hotspot: Lunda Norte (0.069)
Serop@9: 35.7%
18 admin-1 · 163 admin-2
Kenya
Mean FOI 0.048
Hotspot: Nyandarua (0.068)
Serop@9: 34.8%
47 admin-1 · 299 admin-2
India
Mean FOI 0.046
Hotspot: Goa (0.108)
Serop@9: 31.6%
41 admin-1 · 664 admin-2
Nepal
Mean FOI 0.036
Hotspot: East (0.041)
Serop@9: 27.4%
5 admin-1 · 14 admin-2
Bangladesh
Mean FOI 0.030
Hotspot: Chittagong (0.046)
Serop@9: 22.8%
8 admin-1 · 64 admin-2
São Tomé & Príncipe
No Arbomap data — opportunity for DeZi.
Built by: Arbomap is developed and maintained by Ilaria Dorigatti and colleagues at the MRC Centre for Global Infectious Disease Analysis, Imperial College London — with contributions from [collaborators TBC]. DeZi links to Arbomap as a recommended external toolkit for arbovirus risk mapping; the tool, methods and data are maintained by the Imperial team.
Please cite Cattarino L, Rodriguez-Barraquer I, Imai N, Cummings DAT, Ferguson NM. Mapping global variation in dengue transmission intensity. Sci Transl Med 2020;12(528):eaax4144. doi:10.1126/scitranslmed.aax4144