Vector species naturally infected by ZIKV or studied experimentally for their ZIKV competence.

<p>Vector species naturally infected by ZIKV or studied experimentally for their ZIKV competence.</p

Synthesis of the research related to vector species of ZIKV between 1952 and March 15, 2017.

<p>Evolution of the number of scientific papers related to vector species of ZIKV, the number of field species tested for the presence of Zika, the number of naturally ZIKV-infected species, the number of species studied experimentally for their competence, and the number of species observed once competent for ZIKV between 1952 and March 15, 2017. ZIKV, Zika virus.</p

Flow diagram of search strategies for eligible studies.

<p>Flow diagram of search strategies for eligible studies.</p

Representation of the beta coefficients from bootstrap resampling of clinical and biological variables.

<p>Representation of the beta coefficients from bootstrap resampling of clinical and biological variables.</p

Comparison between malaria and dengue biological variables by matched bivariate analysis.

*<p><i>Odds ratio</i> (OR) and 95% confidence interval (95% CI) and p calculated by matched bivariate analysis.</p>**<p>p-value calculated with Wald test in matched bivariate analysis.</p><p>ALT, alanine aminotransferase; AST, aspartate aminotransferase; CRP, C-reactive protein.</p

Monthly cases of dengue and malaria diagnosed in the Cayenne hospital between 2004 and 2010.

<p>Monthly cases of dengue and malaria diagnosed in the Cayenne hospital between 2004 and 2010.</p

Comparison between malaria and dengue epidemiological and clinical variables by matched bivariate analysis.

*<p><i>Odds ratio</i> (OR) and 95% confidence interval (95% CI) and p calculated by matched bivariate analysis.</p>**<p>p-value calculated with Wald test in matched bivariate analysis.</p>¥<p>Inhabitants of the coast are defined as people living in Cayenne, Rémire-Montjoly, Matoury Macouria, Kourou, Irakoubo or Mana.; Other people declared to live in Cacao, Roura, Montsinnéry-Tonnégrande, Régina, Saül, St-Elie, Saint Laurent du Maroni, Apatou, Maripasoula, Papaïchton, St George de l'Oyapock, Camopi or Trois-Sauts. 4 people came from France, 1 from the French Caribbean and 1 from French Polynesia.</p><p>Bpm, beats per minut;</p>§<p>ENT symptoms, (Ear, Nose and Throat): pharyngitis, otitis and/or sinusitis).</p

Median β coefficients estimated by multivariate logistic regression model and bootstrapping procedure.

*<p><i>Odds ratio</i> and 95% confidence interval and p-value calculated by matched multivariate analysis.</p><p>Matched multivariate logistic regression analysis was performed for malaria and dengue. Weights are based on the β coefficients of the logistic regression and were calculated by rounding the model coefficients to the nearest whole integer after .<i>632</i> bootstrapping (median). The weights rank the risk predictors in relative importance and dictate how one assigns integer points value for each predictor for a given patient. The assigned points are then summed to compute that individual's risk for the mixed clinical and biological malaria score values.</p

GAMM model results for the impact of different variables on the risk of <i>Plasmodium</i> spp. Carriage.

GAMM model results for the impact of different variables on the risk of Plasmodium spp. Carriage.</p

Oyapock river basin in terms of inhabitation.

Despite the large reduction in malaria incidence in the last decade, the last kilometre to elimination is often the hardest, especially in international border areas. This study investigated the impact of mobility on Plasmodium spp. carriage in people living in a cross-border area in Amazonia with a low malaria transmission rate. We implemented a longitudinal ancillary study in the French Guiana town of St. Georges de l’Oyapock, which is located on the border with Brazil. It was based on data from two transversal surveys performed in October 2017 and October 2018. Data were collected on peri-domestic mobility for food-producing activities, and longer-distance mobility in high-risk areas. Participants were screened for Plasmodium spp. carriage using PCR tests, and treated if positive. Vector density around a participant’s home was estimated using a previously published model based on remote sensing and meteorological data. The association between Plasmodium spp. carriage and mobility was analysed using a generalized additive mixed model. A total of 1,192 inhabitants, aged between 0 and 92 years old, were included. Median age was 18 years in 2017 (IQR [8;35]). Plasmodium spp. prevalence in the study population was 7% in 2017 (n = 89) and 3% in 2018 (n = 35). Plasmodium spp. carriage was independently associated with i) travel to the adjoining Oiapoque Indigenous Territories in Brazil (OR = 1.76, p = 0.023), ii) the estimated vector density around a participant’s home (High versus Low risk OR = 4.11, p</div