Fig 1.
Distribution of collection points, 50 m from each other.
Table 1.
Latin square rotation scheme adopted for testing a new mosquito trap design against other collection methods for anthropophilic anophelines in Cariobal, Amapá State, Brazil.
Fig 2.
The MosqTent, a portable, double-chamber individual trap, designed to avoid mosquito biting while collecting anthropophilic mosquitoes for research and surveillance; A-outer chamber closed, B-outer and inner chamber open.
Fig 3.
Gazebo-like tent that allows the MosqTent to be used in light rainy conditions.
Fig 4.
MosqTent parts; A in perspective; B side view: 1: Inner chamber, 2: Outer chamber, 3: Zippers, 4: Floor of the inner chamber, 5: Wing, 6: Holes in the wall of the outer chamber, 7: Space between the wing and the outer wall, 8: Corners, 9: Roof common to the inner and outer chambers, red dotted-lines: Alternative ways for mosquito trapping.
Fig 5.
The MosqTent fully deployed using aluminium sticks inserted into sheaths sewn in the walls´ corners used with a commercially available gazebo-like tent (in blue).
Table 2.
Number of anopheline vectors collected by the MosqTent tested against other anopheline collection methods in Cariobal, Amapá State, Brazil.
Highest values are shaded.
Table 3.
Posterior median (95% credible interval) of the expected number of mosquitoes per hour by collection method and anopheline species (An darlingi, An marajoara, An. triannulatus, and total anophelines) in Cariobal, Macapá, Amapá State, Brazilian Amazon.
Highest values are shaded.
Fig 6.
Posterior median (95% credible interval) of the expected number of mosquitoes per hour (x-axis) for An. darlingi, An. marajoara, An. triannulatus, and total anophelines per collection method (protected HLC, MosqTent white and black, HLC, and BG-sentinel traps).
Fig 7.
Random effects for the multilevel poisson model for the number of An. darlingi, An. marajoara, An. triannulatus, and total anophelines collected by method, controlled by month, collection point, day, and time.
Each random effect is the contribution to the logarithm of the expected number of mosquitoes. The further from zero (y-axis), the greater the effect of the variable in the mosquito yield.
Table 4.
Posterior mean of the precision parameter for the random effects of collection method, month, collection point, day, and time (hour of the day) for An. darlingi, An. marajoara, An. triannulatus, and total anophelines in Cariobal, Macapá, Amapá State, Brazilian Amazon.
The lower the precision the more important is the effect to explain data variability (shaded).
Table 5.
Number of parous An. darlingi and An. marajoara females collected in the MosqTent against other collection methods in Cariobal, Macapá, Amapá State, the Brazilian Amazon.
Fig 8.
Simplified schemes of traps aiming to collect anthropophilic mosquitoes to show differences in their designs: Shannon (single chamber) [31], Mbita [32], Ifakara [33,34], Tent [35], Malaise (Townes style) [35], Infoscitex [36], Human Double Net-HDN [37], and MosqTent (this paper).