@article{fdi:010070938, title = {{A}n ecological and digital epidemiology analysis on the role of human behavior on the 2014 {C}hikungunya outbreak in {M}artinique}, author = {{R}oche, {B}enjamin and {G}aillard, {B}{\'e}atrice and {L}eger, {L}. and {P}elagie-{M}outenda, {R}. and {S}ochacki, {T}. and {C}azelles, {B}. and {L}edrans, {M}. and {B}lateau, {A}. and {F}ontenille, {D}idier and {E}tienne, {M}. and {S}imard, {F}r{\'e}d{\'e}ric and {S}alathe, {M}. and {Y}ebakima, {A}.}, editor = {}, language = {{ENG}}, abstract = {{U}nderstanding the spatio-temporal dynamics of endemic infections is of critical importance for a deeper understanding of pathogen transmission, and for the design of more efficient public health strategies. {H}owever, very few studies in this domain have focused on emerging infections, generating a gap of knowledge that hampers epidemiological response planning. {H}ere, we analyze the case of a {C}hikungunya outbreak that occurred in {M}artinique in 2014. {U}sing time series estimates from a network of sentinel practitioners covering the entire island, we first analyze the spatio-temporal dynamics and show that the largest city has served as the epicenter of this epidemic. {W}e further show that the epidemic spread from there through two different propagation waves moving northwards and southwards, probably by individuals moving along the road network. {W}e then develop a mathematical model to explore the drivers of the temporal dynamics of this mosquito-borne virus. {F}inally, we show that human behavior, inferred by a textual analysis of messages published on the social network {T}witter, is required to explain the epidemiological dynamics over time. {O}verall, our results suggest that human behavior has been a key component of the outbreak propagation, and we argue that such results can lead to more efficient public health strategies specifically targeting the propagation process.}, keywords = {{MARTINIQUE}}, booktitle = {}, journal = {{S}cientific {R}eports - {N}ature}, volume = {7}, numero = {}, pages = {art. 5967 [8 ]}, ISSN = {2045-2322}, year = {2017}, DOI = {10.1038/s41598-017-05957-y}, URL = {https://www.documentation.ird.fr/hor/fdi:010070938}, }