Search

Additional file 1. Systematic review protocol.

Additional file 1: Table S1. The overall number of mosquito species collected using different trapping methods in four different locations in Peninsular Malaysia.

Additional file 1: Table S1. Summary of mosquito species used in the study from six states in Malaysia. Collection was carried out using human landing catch (HLC), mosquito magnetic trap and ovitrap. Table S2. Mosquito collection sites. Mosquitoes were collected from different settings: urban, village, island, forest and wetland across several states in Malaysia. Table S3. Anopheles samples with Plasmodium infections.

Multilingual abstracts in the five official working languages of the United Nations. (PDF 346 kb)

Additional file 2: Figure S1. Gel electrophoresis of AS-PCR products corresponding to the Ae. aegypti sodium channel gene mutation. a F1534C mutation: each of the three genotypes is shown. Lane 1: ultra-low range DNA ladder; Lane 2: wild-type homozygous (FF); Lane 3: heterozygous (FC); Lane 4: mutant homozygous (CC); Lane 5: negative control. b V1016G mutation: Lane 1: ultra-low range DNA ladder marker; Lane 2: mutant homozygous (GG); Lane 3: heterozygous (VG); Lane 4: wild-type homozygous (VV); Lane 5: negative control. c S989P mutation: Lane 1: 100 bp DNA ladder marker; Lanes 2, 3: wild-type homozygous (SS); Lanes 4, 5: heterozygous (SP); Lanes 6, 7: mutant homozygous (PP); Lanes 8, 9: negative control. Figure S2. Genotype sequence of V1016G mutation. Figure S3. Genotype sequence of S989P mutation. Figure S4. Genotype sequence of F1534C mutation.

Additional file 1: Table S1. Knockdown rate and mortality rate of adult female Ae. aegypti against various insecticides and synergists. Table S2. Knockdown times KT50 and KT99 of adult female Ae. aegypti to various insecticides. Table S3. Frequency of the F1534C mutation in the Ae. aegypti voltage-gated sodium channel gene within resistance and susceptible mosquitoes from nine different districts of Selangor determined using AS-PCR. Table S4. Frequency of the V1016G mutation in the Ae. aegypti voltage-gated sodium channel gene within resistance and susceptible mosquitoes from nine different districts of Selangor determined using AS-PCR. Table S5. Frequency of the S989P mutation in the Ae. aegypti voltage-gated sodium channel gene within resistance and susceptible mosquitoes from nine different districts of Selangor determined using AS-PCR.

Table S1. Study samples and origin. (DOCX 20 kb)

Additional file 4. Amino acid alignment of PkMSP1 (A) Domain I, (B) Domain III, (C) Domain V and (D) Domain VII between Thailand (n = 23) and Malaysian (n = 11) isolates. Period and hyphen represents identical amino acids and deletions, respectively. Thailand; AEQ01041-AEQ01055 and AFR68690–AFR68697. Malaysia; deduced amino acids ERR274221, ERR274222, ERR366425, ERR366426, ERR985374, ERR985377, ERR985416, ERR985418, and P_Malaysia_2 along with H-strain (CAQ39354). Others [M] and Others [T] refers to observed sequential variations within Malaysian or Thailand isolates, respectively.

Additional file 2. Accession number of PkMSP1 sequences used in the study and their geographical origin.

Total pools and number of mosquitoes positive by weeks using NS1 Rapid Test Kit. Table S2. Mosquito pools tested by NS1 and RT-PCR. (DOCX 15Â kb)

Total pools and number of mosquitoes positive by weeks using NS1 Rapid Test Kit. Table S2. Mosquito pools tested by NS1 and RT-PCR. (DOCX 15Â kb)

Additional file 1. Species accumulation curves for human landing catch sampling in primary forest at (a) Ground and (b) Canopy level, virgin jungle reserve at (c) Ground and (d) Canopy level, and logged forest at (e) Ground and (f) Canopy level. Shaded area indicates 95Â % confidence intervals.

Environmental variables used in the species distribution models and construction of the forest cover layers. Details of the covariate data used are provided together with their source details. The construction and validation of the intact and disturbed forest layers is described in detail. (DOCX 27Â kb)

The 0.025 and 0.975 quantile model predictions, and the top predictors, for each mosquito model. For each mosquito species, complex or group, the 0.025 and 0.975 quantile model outputs, masked out on islands outside each species or complex range, are provided with the mean AUC (Âą standard error) and the relative influence of the top predictors for that model. (DOCX 1331Â kb)

The 0.025 and 0.975 quantile model predictions, and the top predictors, for each mosquito model. For each mosquito species, complex or group, the 0.025 and 0.975 quantile model outputs, masked out on islands outside each species or complex range, are provided with the mean AUC (Âą standard error) and the relative influence of the top predictors for that model. (DOCX 1331Â kb)

The 0.025 and 0.975 quantile model predictions, and the top predictors, for each macaque species. For each macaque species the 0.025 and 0.975 quantile model outputs, masked out on islands outside each species range, are provided with the mean AUC (Âą standard error) and the relative influence of the top predictors for that species. (DOCX 1183Â kb)

Proportional land cover in areas with high predicted probability of species occurrence. Plots showing the relative density of pixels at each percentage land class coverage for all pixels where the probability of species occurrence was greater than 0.75, for each species. (DOCX 795Â kb)

Distributions of the model input data in space and time. The spatial distributions of the species occurrence data and background data are shown on a series of maps and their temporal distributions are shown by a series of histograms. (DOCX 1584Â kb)

Investigating the impact of using annual land cover data. The model was run using identical datasets and either 1) year-matched land cover data or 2) 2012 land cover data. The resulting distributions are shown with the AUCâ Âąâ standard error, and the top predictors with their relative influences. A map showing the difference between the two resulting distributions is also provided. (DOCX 2977Â kb)

Environmental variables used in the species distribution models and construction of the forest cover layers. Details of the covariate data used are provided together with their source details. The construction and validation of the intact and disturbed forest layers is described in detail. (DOCX 27Â kb)

Investigating the impact of using annual land cover data. The model was run using identical datasets and either 1) year-matched land cover data or 2) 2012 land cover data. The resulting distributions are shown with the AUCâ Âąâ standard error, and the top predictors with their relative influences. A map showing the difference between the two resulting distributions is also provided. (DOCX 2977Â kb)

Additional file 1: Table S1. PCR primers used for detecting Plasmodium spp. in Anopheles specimens.

Additional file 5: Table S3. Total Anopheles specimens collected at study sites in Paus, Ranau and Keritan Ulu, Keningau.

Additional file 3: Table S2. Mean interaction statistic between habitat type and time period as predicted by GLMM. Habitat types: FE: forest edge; PG: playground; LH: longhouse; OP: oil palm plantation; BU: shrub bushes. Time periods are: early night (18:00–21:00 h); late night (21:00–00:00 h); predawn (00:00–03:00 h); dawn (03:00–06:00 h).

Additional file 3: Table S2. Mean interaction statistic between habitat type and time period as predicted by GLMM. Habitat types: FE: forest edge; PG: playground; LH: longhouse; OP: oil palm plantation; BU: shrub bushes. Time periods are: early night (18:00–21:00 h); late night (21:00–00:00 h); predawn (00:00–03:00 h); dawn (03:00–06:00 h).

Additional file 1: Table S1. PCR primers used for detecting Plasmodium spp. in Anopheles specimens.

Additional file 5: Table S3. Total Anopheles specimens collected at study sites in Paus, Ranau and Keritan Ulu, Keningau.