Abstract
Background
In the context of intensified malaria control efforts in Burkina Faso, this study assessed i) the insecticide resistance status of Anopheles gambiae sensu lato and ii) key entomological indicators of malaria transmission in Bobo-Dioulasso.
Methods
World Health Organization–standard susceptibility bioassays were conducted on Anopheles populations collected from six neighborhoods (Kua, Sarfalao, Sabaribougou, Dogona, Farakan and Kodeni). The bioassays tested six insecticides organochlorines (4%dichlorodiphenyltrichloroethane), organophosphates (1.25% pirimiphos-methyl), pyrethroids (0.75%permethrin, 0.05% deltamethrin, 0.05% alpha-cypermethrin), and carbamates (0.1% bendiocarb). Synergist bioassays using piperonyl butoxide (PBO) were also performed to investigate metabolic resistance mechanisms, and Plasmodium infection rates were determined via Polymerase Chain Reaction.
Results
Overall, data revealed high resistance levels to dichlorodiphenyltrichloroethane and pyrethroids, which are associated with moderate or higher frequencies of knockdown resistance mutations (L995F and L995S). Fortunately, a susceptibility to bendiocarb and pirimiphos-methyl was found in the majority of localities. The restoration of pyrethroid susceptibility following piperonyl butoxide pre-exposure suggests the involvement of metabolic resistance mechanisms. Analysis of 622 specimens from the Anopheles gambiae complex revealed a predominance of An. arabiensis (90.8%), followed by An. gambiae s.s. and An. coluzzii. Sporozoite infection rates varied by species, reaching 45% in An. coluzzii, 27.4% in An. arabiensis, and 16.2% in An. gambiae s.s. The overall entomological inoculation rate (EIR) was estimated at 10.6 infectious bites per person during the study period. Anopheles arabiensis contributed most of these bites (91.2%), highlighting its central role in malaria transmission in Bobo-Dioulasso.
Conclusions
Despite insecticide resistance, Anopheles populations exhibited high Plasmodium infection rates, indicating ongoing transmission. These findings emphasize the urgent need for sustained entomological surveillance and resistance management to guide and optimize insecticide-based malaria control strategies.
Keywords: Malaria, Anopheles gambiae s.l., Insecticide, Synergist, Resistance, SIR, EIR, Burkina Faso
Background
Malaria remains an endemic disease worldwide, with control strategies primarily based on the use of long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) [1, 2]. Four major classes of insecticides are used in vector control programs: pyrethroids, organophosphates, carbamates, and organochlorines [3, 4]. Pyrethroids are currently the only class recommended by the World Health Organization (WHO) for insecticide treatment net (ITN), due to rapid action, and low toxicity to humans [5]. However, widespread resistance to all four classes of insecticide has been reported in Anopheles gambiae s.l. across sub-Saharan Africa. This has seriously undermined the effectiveness of interventions based on long-lasting insecticide-treated nets (LLINs) and indoor residual spraying (IRS) [6–8]. These tools, which have been instrumental in significantly reducing Plasmodium falciparum infection prevalence over the past decade, but they are now facing growing limitations in their efficacy [9, 10]. In response to this threat, one of the most promising approaches is to combine two active ingredients with different modes of action in a single LLIN. This combined strategy could enhance the sustainability of interventions and improve the management of insecticide resistance in malaria vectors [11, 12]. The development of insecticide resistance among malaria vectors is a dynamic and unstable phenomenon. Its intensity that can rapidly increase under multiple selection pressures particularly those induced by public health interventions and intensive agricultural practices that use insecticides belonging to the same chemical classes [13–15]. Several authors have shown the role of agricultural practices in selecting An. gambiae resistant populations to chemicals. According to Amara et al., a study conducted in the city of Bobo-Dioulasso revealed that the An. gambiae s.l. complex is primarily dominated by An. arabiensis, which accounted for the majority of mosquitoes collected across various urban districts [16]. This predominance suggests a specific ecological adaptation of An. arabiensis to local urban conditions, which has important implications for targeted vector control strategies [15, 16]. However, a previous study conducted in Dioulassoba, a district of Bobo-Dioulasso, Burkina Faso, revealed significant pyrethroid resistance among An. Arabiensis populations. Of the An. gambiae s.l. complex mosquitoes collected, over 31% were identified as An. arabiensis (Namountougou et al. [15]). These populations exhibited mortality rates below 30% following exposure to deltamethrin, indicating high phenotypic resistance. Furthermore, the kdr 995F mutation, which is known to confer resistance to pyrethroids, was detected at a high frequency (0.98) [6]. The city located in the Sudanian zone of Burkina Faso, exhibits highly heterogeneous malaria transmission patterns. Previous studies have shown that transmission is seasonal, peaking during the second half of the rainy season, and varies significantly across urban districts [17]. While central urban areas report very low transmission levels (as low as 0.14 infectious bites per person per year), peripheral neighborhoods such as Colma-Nord can reach much higher rates, up to 4.6 infectious bites per person annually. This variability is closely linked to the availability of larval habitats and local ecological conditions [18, 19]. From a parasitological perspective, Plasmodium falciparum remains the predominant species responsible for malaria transmission in the region, consistent with findings across West Africa. Other Plasmodium species, such as P. malariae and P. ovale, are rarely detected and play only a marginal role in local transmission dynamics [16].
This study aims to assess the status of insecticide resistance in Anopheles gambiae sensu lato populations in Bobo-Dioulasso, Burkina Faso, and to evaluate key entomological indicators of malaria transmission across different urban and peri-urban settings. By combining resistance profiling with transmission metrics, such as vector density, sporozoite rates, and biting behavior, the study seeks to generate evidence that informs and optimizes local vector control strategies. Understanding the spatial heterogeneity of transmission and resistance patterns is essential for tailoring interventions to the ecological realities of each neighborhood.
Methods
Study area
The study was conducted in six districts of Bobo-Dioulasso, located in the Hauts-Bassins region in the southwestern part of Burkina Faso (11°10′37″ N, 4°17′52″ W) (Fig. 1). The city of Bobo Dioulasso is the second-largest urban area in the country, which is characterized by a rainy season extending from May to September, and an average annual rainfall exceeding 1,200 mm. The city experiences a southern Sudanian climate and is marked by intensive agricultural activity in peri-urban areas. The selected districts are intersected by permanent watercourses, around which vegetable farming zones (notably in Kua, Sarfalao, and Sabaribougou) and rice cultivation areas (in Dogona, Farakan, and Kodeni) have developed. Site selection was based on a combination of hydrological, agricultural, and entomological criteria, to capture the diversity of transmission contexts. These agricultural developments, combined with the proximity of human dwellings to humid environments, promote the formation of numerous larval habitats for malaria vector mosquitoes.
Fig. 1.
Study areas: Bobo-Dioulasso (western Burkina Faso)
Collection and rearing mosquito larvae
During the 2025 rainy season from May to July, Anopheles larvae were collected from natural breeding sites using the standard dipping method. At each district, sampling was conducted across multiple distinct larval habitats, including all developmental stages. Larvae samples were then pooled by locality. The larvae were reared at the IRSS/Centre Muraz insectary in Bobo-Dioulasso under controlled environmental conditions (temperature: 27–30 ± 1 °C; relative humidity: 80 ± 10%; photoperiod: 12 h of light and 12 h of darkness, including a 1-h transition at dawn and dusk), until adult emergence (F0). They were fed daily with Tetramin® fish food. After emergence, adult female mosquitoes were maintained on a 10% sugar solution in preparation for insecticide susceptibility testing. Morphological identification of the specimens was then performed using the taxonomic keys of Gillies and De Meillon, [20].
Insecticide susceptibility tests
Insecticide susceptibility tests were conducted on 2–5-day-old, non-blood-fed adult female mosquitoes of the Anopheles gambiae complex using the WHO tube test protocol [21]. The test papers were impregnated with pyrethroids (alpha-cypermethrin 0.05%, deltamethrin 0.05%, and permethrin 0.75%), an organochlorine (DDT 4%), a carbamate (bendiocarb 0.1%), and an organophosphate (pirimiphos-methyl 0.25%). The An. gambiae s.s. Kisumu strain has been tested on all insecticides impregnated papers as a control. Four replicates, each containing 20–25 mosquitoes, were introduced into WHO test tubes and observed for 60 min to ensure post-transfer recovery and to exclude any handling-related mortality. In addition, all field mosquitoes and the Kisumu strain were exposed for 1 h to non-impregnated papers. Environmental conditions were standardized at a temperature of 25 ± 2 °C and relative humidity between 70 and 80%, to ensure optimal testing conditions. Mosquitoes were then exposed to insecticides for a strictly controlled duration of 60 min. Afterward, they were transferred to observation tubes and kept for 24 h under the same thermo-hygrometric conditions, with access to a 10% sugar solution provided on cotton pads. Mortality was assessed 24-h post-exposure. Alive and dead mosquitoes were counted separately and preserved in Eppendorf tubes containing silica gel covered with cotton, according to sampling site and insecticide type. The samples were stored at − 20 °C for molecular analyses, including subspecies identification and detection of resistance-associated mutations (West and East kdr).
Synergist-based bioassays
To investigate the potential role of detoxification enzymes in pyrethroid resistance, complementary bioassays were conducted using the synergist Piperonyl Butoxide (PBO) at 4%, known to inhibit monooxygenases and, to a lesser extent, esterases [22]. Non-blood-fed Anopheles gambiae s.l. females aged 2–5 days were pre-exposed to PBO for 1 h before being transferred onto insecticide-impregnated papers (alpha-cypermethrin 0.05%, deltamethrin 0.05%, permethrin 0.75%). Control mosquitoes underwent an identical pre-exposure on untreated papers. After being exposed, mosquitoes were placed in observation tubes containing cotton soaked in a 10% sugar solution and maintained under controlled conditions for 24 h prior to mortality assessment. The same procedures were applied to the susceptible An. gambiae s.s. Kisumu strain. Each treatment was replicated four times, with batches of 20 to 25 mosquitoes per replicate.
Human landing catch (HLC)
A cross-sectional entomological survey was conducted between July and September 2024 in the same areas targeted for the bioassays. Human landing catches were performed in accordance with the WHO standard protocol [21]. Informed consent was obtained from household heads, in consultation with local authorities, including traditional leaders and designated focal points for each study site. In each of the six selected neighborhoods, eight trained adult volunteers were recruited as mosquito collectors. Two collectors (one indoors and one outdoors) were assigned to each of the four sampled households per neighborhood. Collection teams operated in two shifts: the first from 6:00 p.m. to 1:00 a.m., and the second from 1:00 a.m. to 9:00 a.m. Collectors sat on chairs with their legs exposed and used flashlights to visually detect and capture mosquitoes landing on their limbs before blood-feeding, using hemolysis tubes.
To minimize potential bias related to individual attractiveness to mosquitoes, collectors alternated between indoor and outdoor positions every hour. Each collection site was supervised by a technician from the Institut de Recherche en Sciences de la Santé (IRSS)/Centre MURAZ, assisted by a local field agent. Mosquitoes collected in hemolysis tubes were grouped by hour of collection into separate bags and transported daily to the IRSS/Centre MURAZ entomology laboratory. Upon arrival at the laboratory, specimens were immediately sorted. Each mosquito was individually transferred into a labeled Eppendorf tube containing silica gel to ensure proper desiccation and preservation for subsequent molecular analyses. Morphological identification of mosquito species was performed using a binocular magnifying glass (AmScope; United Scope LLC) and based on the taxonomic keys of Gillies et De Meillon (1968).
Molecular processing
Anophelines’ molecular characterization
Genomic DNA was extracted from homogenized mosquitoes using the cetyltrimethylammonium bromide (CTAB) method (2% CTAB buffer), adapted from the works of Cornel et al. [23]. The extraction process included chloroform purification followed by isopropanol precipitation. Then, identification of sibling species within the Anopheles gambiae complex was performed using allele-specific polymerase chain reactions (PCR), targeting insertion polymorphisms of the SINE200 retro transposable element, as described by Santolamazza et al., (2008) [24]. The primers used were: S200X 6.1F: TCG–CCT–TAG–ACC–TTG–CGT–TA; S200X 6.1R: CGC–TTC–AAG–AAT–TCG–AGA–TAC. PCR reactions were carried out in 20 µL volumes under standard thermal cycling conditions. Amplified products were separated on 2% agarose gels to distinguish target species, with expected band sizes of 479 base pair (bp) for An. coluzzii, 249 bp for An. gambiae, and 223 bp for An. arabiensis.
Detection of kdr mutation (Kdr-West and Kdr-East)
The kdr L995F mutation was detected using an allele-specific PCR (AS-PCR) protocol described by Martinez-Torres et al., [25]. The primers Agd1 (5′-ATA GAT TCC CCG ACC ATG-3′) and Agd2 (5′-AGA CAA GGA TGA TGA ACC-3′) were used to amplify a common fragment of 293 base pairs (bp) in mosquitoes belonging to the Anopheles gambiae s.l. complex. To distinguish between alleles, the specific primers Agd3 (5′-AAT TTG CAT TAC TTA CGA CA-3′) and Agd4 (5′-CTG TAG TGA TAG GAA ATT TA-3′) were used to identify the L995F mutation. In parallel, detection of the kdr L995S mutation, characteristic of East Africa, was performed using the primers Agd1, Agd2, Agd4, and Agd5 (5′-TTT GCA TTA CTT ACG ACT G-3′), following the protocol adapted from Ranson et al., (2000) and validated by Verhaeghen et al., [26, 27]. This combination specifically targets the substitution of leucine by serine at codon 995 of the voltage-gated sodium channel gene. The primers were used to amplify two distinct fragments: a 195 bp product corresponding to the mutated (resistant) allele, and a 137 bp product corresponding to the non-mutated (susceptible) allele. PCR products were separated on 2% agarose gels, enabling clear visualization of the banding patterns and accurate genotype determination for each individual.
Three genotypes were considered in the interpretation of kdr L995F and L995S mutations: homozygous resistant (RR): bands at 293 bp and 195 bp, heterozygous (RS): bands at 293 bp, 195 bp, and 137 bp and homozygous susceptible (SS): bands at 293 bp and 137 bp. The presence of the common 293 bp fragment, amplified by primers Agd1 and Agd2, was essential to validate each PCR reaction and confirm the integrity of the amplification process.
Detection of Plasmodium infections
Detection of Plasmodium species was performed using the head and thorax of gravid and semi-gravid female Anopheles mosquitoes collected through human landing catches (HLC), following the PCR protocol described by Boonma and collaborators [28]. PCR amplification was carried out in a 25 µL reaction volume. The thermal cycling conditions included an initial denaturation at 95 °C for 5 min, followed by 35 amplification cycles: denaturation at 95 °C for 30 s, annealing at 58 °C for 45 s, and elongation at 72 °C for 1 min. A final extension step was performed at 72 °C for 5 min. PCR products were separated by electrophoresis on a 2% agarose gel stained with ethidium bromide and visualized under UV illumination. Fragment sizes were determined by comparison with a 100 bp molecular weight marker. The expected amplicon sizes for each Plasmodium species were 276 bp, 376 bp and 411 bp for P. falciparum, P. ovale and P. malariae, respectively.
Statistical analyses
Mortality rates and 95% confidence intervals for the WHO susceptibility tests were calculated using the exact binomial method with RStudio software (version 4.4.2). The frequency of L995F and L995S mutations was calculated using the following formula: F(kdr) or f(995F) or f(995L) = (2nRR + nRS)/2N, where nRR represents the number of homozygous resistant individuals, nRS the number of heterozygotes, and N the total number of specimens analyzed. The criteria for assessing the resistance status of a mosquito population to insecticide are as follows [3].
• Mortality rate between 98 and 100%: susceptible mosquito population.
• Mortality rate between 90 and 97%: mosquito population with possible resistance.
• Mortality rate below 90%: resistant mosquito population.
Pearson correlation tests were performed to compare the abundance of mosquito species collected indoors and outdoors. A significance threshold of α = 0.05 was adopted, and results with p values below 0.05 were considered statistically significant.
Then, the following entomological parameters were calculated:
Anopheline density (ma):
ma = Total number of Anopheles mosquitoes captured/(Number of collectors x Number of capture days).
(m = anopheline density; a = The daily probability that a vector bites the host, expressed as the ratio of the anthropophily rate to the duration of the gonotrophic cycle (in days).
Sporozoite infection rate (SIR):
SIR = (Number of anopheles infected with P. falciparum/Total number of anopheles analyzed) × 100.
Entomological inoculation rate (EIR):
EIR = ma x SIR;
Results
Distribution of Anopheles complex species
A total of 360 An. gambiae s.l individuals from bioassays were analyzed by PCR to identify Anopheles gambiae complex species. Of these, An. arabiensis (96.67%, 348/360) and An. gambiae s.s. (3.33%, 12/360) were identified as members of the An. gambiae complex. Our data shown a clear predominance of An. arabiensis across all surveyed localities, with proportions ranging from 91.7% in Dogona to 100% in Kua and Sabaribougou. An. gambiae s.s. was present, at low frequencies, below 10%, in most sites and was completely absent in Kua and Sabaribougou (Fig. 2).
Fig. 2.
Distribution of Anopheles gambiae s.l species in the study area
Susceptibility status of Anopheles gambiae to PBO + pyrethroids
Exposure of Anopheles gambiae to insecticide combinations enhanced with the synergist PBO (Piperonyl butoxide) resulted in a notable increase in mortality rates across all surveyed localities. The combinations PBO + permethrin, PBO + deltamethrin, and PBO + alpha-cypermethrin proved more effective than the insecticides used alone, indicating partial inhibition of metabolic resistance mechanisms in most sites. PBO restores either partially or totally the susceptibility to pyrethroids according to investigated localities.
However, in Sabaribougou, the markedly improved efficacy observed with PBO-containing formulations suggests a predominant, if not exclusive, involvement of metabolic resistance mechanisms in the local mosquito population (Fig. 3).
Fig. 3.
Mortality rates of Anopheles gambiae s.l. following exposure to pyrethroid and pyrethroid–PBO combinations
Susceptibility status of species to organophosphates and carbamates
The tests demonstrated consistently high efficacy of pirimiphos-methyl and bendiocarb at most of the surveyed sites. The mortality rates exceeded the WHO’s recommended threshold of 98% to confirm susceptibility. This observation suggests no significant resistance to these two insecticides within local An. gambiae s.l. populations (Fig. 4).
Fig. 4.
Mortality rates of Anopheles gambiae s.l. after exposition to organophosphates and carbamates in the study sites
Distribution of Kdr-West and Kdr-East mutation frequencies
The Kdr-West (L995F) mutation was prevalent across all study sites, in An. arabiensis, with frequencies varying according to both species and areas. The frequencies ranged from 0.533 in Sabaribougou to 0.745 in Sarfalao, indicating strong selection pressure likely driven by pyrethroid use. The Kdr-East L995S mutation was also detected though less frequently (0.118 in Sarfalao and 0.421 in Kodeni). This suggests the co-circulation of both resistance alleles, with a clear predominance of the L995F mutation. Kdr-East frequencies were more variable (ranging from 0 in Sarfalao to 0.666 in Kodeni) but remained lower than those of L995F (Table 1).
Table 1.
Allelic frequencies of Kdr-West and Kdr-East in Anopheles gambiae s.l. populations of Bobo-Dioulasso
| Sites | Species | Genotypes Kdr-West | Genotypes Kdr-East | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N | 995L 995L | 995L 995F | 995F 995F | f(995F) | p(HW) | 995L 995L | 995L 995S | 995S 995S | f(995S) | p(HW) | ||
| Dogona | An. arabiensis | 55 | 13 | 20 | 22 | 0.581 | 0.9395 | 31 | 17 | 7 | 0.281 | 0.9131 |
| An. gambiae s.s | 5 | 0 | 2 | 3 | 0.8 | 0.9905 | 4 | 0 | 1 | 0.1 | 0.9747 | |
| Farakan | An. arabiensis | 57 | 15 | 14 | 28 | 0.614 | 0.9998 | 41 | 9 | 7 | 0.01 | 0.9996 |
| An. gambiae s.s | 3 | 0 | 1 | 2 | 0.833 | 0.3464 | 0 | 3 | 0 | 0.5 | 0.9586 | |
| Kodeni | An. arabiensis | 57 | 7 | 18 | 32 | 0.719 | 0.8922 | 21 | 24 | 12 | 0.421 | 0.6965 |
| An. gambiae s.s | 3 | 0 | 3 | 0 | 0.5 | 0.9586 | 0 | 2 | 1 | 0.666 | 0.6937 | |
| Kua | An. arabiensis | 60 | 10 | 20 | 30 | 0.666 | 0.9446 | 37 | 20 | 3 | 0.216 | 0.1103 |
| Sabaribougou | An. arabiensis | 60 | 20 | 16 | 24 | 0.533 | 0.9998 | 37 | 19 | 4 | 0.225 | 0.514 |
| Sarfalao | An. arabiensis | 59 | 8 | 14 | 37 | 0.745 | 0.9942 | 45 | 14 | 0 | 0.118 | 0.8308 |
| An. gambiae s.s | 1 | 0 | 0 | 1 | 1 | < 0.0001 | 1 | 0 | 0 | 0 | < 0.0001 | |
N: number of mosquitoes; 995L 995L: sensitive homozygote; 995F 995L or 995L et 995S: heterozygote; 995F 995F or 995S 995S: resistant homozygote; f(995F): frequency of the kdr-west mutation; f(995S): frequency of the kdr-east mutation; p(HW): Hardy–Weinberg test for rejection or acceptance of the Hardy–Weinberg equilibrium hypothesis
Abundance of Anopheles mosquitoes collected both indoor vs outdoor by HLC sporozoite
A total of 622 mosquitoes from HLC were identified, including 283 collected indoors and 339 outdoors. Significative difference was found between the collected mosquitoes indoor and outdoor (p value 0.016 cal). Among the specimens captured indoors, An. arabiensis was predominant, accounting for 88% (n = 249), followed by An. gambiae s.s. at 7.8% (n = 22) and An. coluzzii at 4.2% (n = 12). In the outdoor environment, An. arabiensis remained the most prevalent species, with a slightly higher proportion of 93.2% (n = 316), while An. gambiae s.s. and An. coluzzii were less frequent, representing 4.4% (n = 15) and 2% (n = 8), respectively (Table 2).
Table 2.
Distribution of Anopheles gambiae s.l. collected indoors and outdoors
| Sites | Indoor n (%) | Total | Outdoor n (%) | Total | ||||
|---|---|---|---|---|---|---|---|---|
| An. arabiensis | An. gambiae s.s | An. coluzzii | An. arabiensis | An. gambiae s.s | An. coluzzii | |||
| Sarfalao | 54 (84.376) | 7 (10.937) | 3 (4.687) | 64 (22.615) | 46 (97.872) | 1 (2.128) | 0 (0.000) | 47 (13.864) |
| Kua | 26 (89.655) | 1 (3.448) | 2 (6.897) | 29 (10.247) | 75 (89.286) | 5 (5.952) | 4 (4.762) | 84 (24.779) |
| Sabaribougou | 54 (93.104) | 2 (3.448) | 2 (3.448) | 58 (20.494) | 34 (94.444) | 1 (2.778) | 1 (2.778) | 36 (10.619) |
| Kodeni | 20 (74.074) | 5 (18.519) | 2 (7.407) | 27 (9.541) | 73 (92.405) | 6 (7.595) | 0 (0.000) | 79 (23.304) |
| Farakan | 27 (90.000) | 3 (10.000) | 0 (0.000) | 30 (10.601) | 25 (96.154) | 0 (0.000) | 1 (3.846) | 26 (7.670) |
| Dogona | 68 (90.667) | 4 (5.333) | 3 (4.000) | 75 (26.502) | 63 (94.030) | 2 (2.985) | 2 (2.985) | 67 (19.764) |
| Total | 249 (88) | 22 (7.7) | 12 (4.2) | 283 (100) | 316 (93.2) | 15 (4.4) | 8 (2.4) | 339 (100) |
Sporozoite infection rate (SIR) and entomological inoculation rate (EIR)
A total of 622 mosquitoes from the Anopheles gambiae complex were analyzed for sporozoite detection. The observed sporozoite infection rates (SIR) were 27.4% for An. arabiensis, 45% for An. coluzzii, and 16.2% for An. gambiae s.s. The overall entomological inoculation rate (EIR) was estimated at 10.6 infectious bites per person, with An. arabiensis exhibiting the high rate (EIR = 9.7). The contributions from An. coluzzii and An. gambiae s.s. were more modest, at 0.56 and 0.37, respectively. Marked spatial variability was observed. The district of Sabaribougou recorded the highest EIR (3.5) and was associated with high infection rates in An. coluzzii (100%) and An. gambiae s.s. (66.7%). The districts of Kua (EIR = 2.4) and Kodeni (EIR = 1.5) also showed notable transmission, mainly attributed to An. arabiensis. In contrast, Farakan (EIR = 0.6) and Dogona (EIR = 1.3) exhibited lower transmission levels, although An. coluzzii occasionally showed high infection rates in these areas (Table 3).
Table 3.
Sporozoite infection rate (SIR) and entomological inoculation rate (EIR) recorded in the Anopheles gambiae complex
| Sites | An. arabiensis | EIR | An. coluzzii | EIR | An. gambiae s.s | EIR | EIR (T) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tested | ma | SIR (%) | Tested | ma | SIR (%) | Tested | ma | SIR (%) | |||||
| Sarfalao | 99 | 0.062 | 17.17 | 1.062 | 3 | 0.018 | 33.33 | 0.062 | 8 | 0.005 | 25.00 | 0.125 | 1.249 |
| Kua | 99 | 0.062 | 36.36 | 2.250 | 6 | 0.003 | 50.00 | 0.187 | 6 | 0.000 | 0.00 | 0.000 | 2.412 |
| Kodeni | 98 | 0.061 | 22.44 | 1.375 | 2 | 0.001 | 50.00 | 0.062 | 11 | 0.006 | 09.09 | 0.062 | 1.499 |
| Sabaribougou | 86 | 0.053 | 59.30 | 3.187 | 3 | 0.001 | 100 | 0.187 | 3 | 0.002 | 66.67 | 0.125 | 3.499 |
| Farakan | 52 | 0.032 | 17.31 | 0.562 | 1 | 0.0001 | 100 | 0.062 | 3 | 0.00 | 0.00 | 0.000 | 0.624 |
| Dogona | 131 | 0.082 | 15.27 | 1.250 | 5 | 0.000 | 0.00 | 0.000 | 6 | 0.004 | 16.67 | 0.062 | 1.312 |
| Total | 565 | 0.353 | 27.43 | 9.687 | 20 | 0.012 | 45.00 | 0.562 | 37 | 0.023 | 16.21 | 0.375 | 10.624 |
ma anopheline density, SIR sporozoite infection rates, EIR entomological inoculation rate;(T): total EIR
Discussion
Understanding the current level of insecticide resistance in malaria vectors belonging to the Anopheles gambiae complex in Bobo-Dioulasso, Burkina Faso, is prerequisite for developing efficient vector control strategies. Thus, the data obtained from this study provides a foundation for further reflection on the current state of insecticide resistance in malaria vectors in this region. They also extend knowledge of local malaria transmission.
The predominance of An. Arabiensis associated with the high prevalence of Kdr mutations, the variability in mortality rates across insecticides and study sites, reflects a complex entomological dynamic shaped by local selective pressures. These updated data are essential for refining vector control strategies, particularly by considering species- and locality-specific resistance profiles. They also emphasize the importance of incorporating additional tools, such as PBO-based formulations or alternative insecticides, into malaria control programs to maintain intervention effectiveness and prevent the development of resistance. The predominance of An. arabiensis across study sites can be explained by its remarkable ecological plasticity and ability to adapt to semi-arid environments and temporary larval habitats, which are abundant during the rainy season. Unlike An. gambiae s.s., An. arabiensis is more effective at tolerating high temperatures and low humidity levels, giving it a competitive advantage in dry climates [29].
An. arabiensis is known to exhibit relative zoophily and a pronounced exophilic tendency, which reduce its exposure to indoor interventions, such as residual spraying and insecticide-treated nets [30]. This behavioral shift has been documented in multiple settings, including Guinea–Bissau and southeastern Tanzania, where An. arabiensis dominated outdoor collections and contributed significantly to residual transmission [31, 32]. However, the findings of this study, which show no significant difference in the proportions of An. arabiensis collected indoors and outdoors, highlighting its ability to adapt its biting behavior. Furthermore, genetic studies have highlighted the strong resilience of An. arabiensis populations in the face of environmental pressures and vector control interventions [33]. Finally, the increasing resistance to insecticides, particularly pyrethroids, may contribute to the persistence and dominance of An. arabiensis in certain areas [34].
In contrast, An. gambiae s.s. and An. coluzzii were encountered more frequently indoors, albeit at lower overall proportions. These species are traditionally considered endophilic and anthropophilic, traits that make them more susceptible to indoor interventions. However, their reduced presence in this study may reflect ecological displacement or behavioral changes in response to sustained vector control efforts, as has been observed in other West African contexts. The observed species distribution has important implications for malaria control strategies. The occurrence of An. arabiensis outdoors highlights the necessity of complementing indoor interventions with approaches that target outdoor biting. These approaches include the use of spatial repellents and community-based environmental modifications, such as outdoor livestock rearing, which may serve as alternative hosts for vector mosquitoes in outdoor settings. Moreover, the persistence of An. gambiae s.s. and An. coluzzii indoors suggests that ITNs and IRS are still relevant, though they may need to be optimized to address changing vector behaviors [35].
Molecular resistance observed in An. Arabiensis, although generally less pronounced than in An. gambiae s.s., but remains a concern in several African regions, notably in Ethiopia, Sudan, and Zimbabwe, where moderate-to-high levels of resistance have been documented [36–38]. The observation of widespread resistance to pyrethroids particularly permethrin and deltamethrin in this study area confirms a worrying trend already well-documented across West and Central Africa. This resistance appears to be primarily driven by metabolic mechanisms and behavioral adaptations, such as exophily and zoophily that reduce exposure to insecticides used in domestic settings. These traits complicate both the detection and management of resistance, particularly in areas, where pyrethroids were intensively used through long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) campaigns. Recent studies have confirmed that the efficacy of these insecticides is significantly reduced in regions with a high prevalence of resistance [34, 39]. To address this issue, it is crucial to implement alternative strategies, such as using dual-active nets that combine a pyrethroid with a synergist like piperonyl butoxide (PBO), or deploying insecticides with different modes of action that are not cross-resistant with conventional compounds [40]. Strengthening entomological and molecular surveillance also remains critical for tracking the evolution of resistance markers and adapting interventions in real time. Combination of pyrethroids with the synergist piperonyl butoxide (PBO), specifically PBO + permethrin, PBO + deltamethrin, and PBO + alpha-cypermethrin offer superior efficacy compared to pyrethroid-only formulations, as indicated by the increased mosquito mortality observed across most sites. PBO functions by blocking the enzymatic activity of detoxification systems, thereby allowing pyrethroids to retain their lethal effect on resistant mosquitoes [41].
At the Sabaribougou site, the markedly improved efficacy of PBO-based formulations suggests a predominant, if not exclusive, role of metabolic resistance mechanisms. This hypothesis is supported by the absence of high-frequency kdr mutations in local populations associated with elevated expression levels of metabolic resistance genes, as documented in similar West African contexts [42]. These observations highlight the importance of using dual-active long-lasting insecticidal nets (LLINs–PBO) in areas, where metabolic resistance is prevalent. They also reinforce the recommendations of the WHO Global Plan for Insecticide Resistance Management (GPIRM), which advocates for the integration of synergized formulations into vector control programs when metabolic resistance mechanisms are confirmed [22]. Finally, these results underscore the need to strengthen molecular and enzymatic surveillance to guide the selection of insecticides based on local resistance profiles.
Fortunately, tests conducted with organophosphates and carbamates revealed consistently high efficacy for pirimiphos-methyl and bendiocarb, with mortality rates exceeding the WHO’s recommended threshold of 98% to confirm vector susceptibility [22]. This susceptibility suggests that, despite the widespread resistance to pyrethroid, organophosphates and carbamates remain operationally effective in several entomological settings. Pirimiphos-methyl, in particular, demonstrated strong performance in areas with moderate frequencies of kdr and Ace-1 resistance mutations, highlighting its potential for indoor residual spraying (IRS) campaigns in contexts of multi-resistance [39, 43, 44]. Studies conducted in Côte d’Ivoire and Burkina Faso have confirmed that pirimiphos-methyl, when applied to cement or mud walls, maintains residual efficacy for over 6 months, making it a robust candidate for seasonal interventions [44–47]. Similarly, bendiocarb continues to produce high mortality rates in several localities, despite the emergence of resistance linked to the Ace-1 mutation particularly, where its frequency remains below 20% [48, 49]. These findings emphasize the importance of diversifying the insecticide classes used in vector control programs and prioritizing compounds that remain effective under high selective pressure. A comprehensive understanding of resistance mechanisms and their spatial heterogeneity is ultimately critical for optimizing interventions and sustaining the long-term effectiveness of vector control strategies in the face of escalating resistance. As recommended by the WHO, plant-derived molecules may also serve as an alternative tool against resistant mosquito populations [50–53].
Anopheles arabiensis plays a pivotal role in terms of contribution in malaria transmission due to its behavior and ecological distribution. Although it is less abundant, An. coluzzii exhibits a relatively high infection rate. This level of infectivity suggests an amplified local vectorial capacity, likely driven by strong anthropophily and favorable ecological conditions for parasite survival [54]. Recent studies have shown that An. coluzzii is particularly well-adapted to urban and peri-urban environments, with a preference for permanent and polluted larval habitats conditions that may sustain transmission even at low vector densities [55, 56]. In contrast, An. gambiae s.s. appears to play a minor role in this study, exhibiting a moderate sporozoite infection rate (SIR) and making a limited contribution to the entomological inoculation rate (EIR). This decline may be attributed to ecological replacement dynamics, as observed in the Kou Valley, where An. arabiensis becomes more prevalent at the onset of the dry season. It may also reflect increased selective pressure from the widespread use of insecticide-treated nets and indoor spraying, which differentially affect species within the complex depending on their feeding behavior and chemical susceptibility [57]. The spatial heterogeneity of EIRs observed across neighborhoods highlights the importance of local factors in transmission dynamics. Sabaribougou, which shows high infection rates across all three species, may reflect a combination of high vector density, limited control intervention coverage, and environmental conditions conducive to larval development. Conversely, Farakan and Dogona exhibit lower EIRs despite the presence of infected mosquitoes. This could be due to reduced vector density or better human protection particularly through the use of nets [45]. These findings call for a differentiated approach to vector control, one that accounts for species diversity, local ecology, and vectorial capacity. Targeted entomological surveillance and the adaptation of control strategies to the spatial and behavioral specificities of vector populations are essential to enhance intervention effectiveness.
Conclusion
This study highlights a complex entomological situation in the city of Bobo-Dioulasso, characterized by high levels of pyrethroid resistance among malaria vectors and heterogeneous transmission dynamics across neighborhoods and vector species. The predominance of Anopheles arabiensis, its ecological and behavioral resilience, and the significant An. coluzzii infection rate at certain sites underscore the necessity of a localized and differentiated approach to vector control. The results confirm the strategic value of PBO-based synergized formulations, which demonstrate enhanced efficacy in contexts of metabolic resistance. Moreover, the continued susceptibility of vectors to organophosphates and carbamates particularly pirimiphos-methyl and bendiocarb provides robust operational alternatives for indoor residual spraying campaigns. In light of rising multi-resistance and persistent transmission in certain areas, it is crucial to strengthen entomological and molecular surveillance, tailor control tools to local resistance profiles, and establish integrated strategies to maintain the effectiveness of interventions. An understanding of the nuances vector ecology and behavior, combined with rational insecticide management, is essential to contain residual malaria transmission and steer public health policies toward sustainable solutions. One limitation of this study lies in the absence of multi-concentration testing. Additional assays using pyrethroids at concentrations 5 × and 10 × higher than the diagnostic dose are planned to further assess resistance levels and better characterize the tolerance profiles of vector populations.
Acknowledgements
The authors are grateful to the technicians at IRSS/Centre Muraz for their key work, especially Mr Ouari Ali. Our sincere appreciation to the communities from all selected sentinel sites for support and cooperation during experiments. I would also like to thank Emmanuel Sawadogo for his assistance in creating the map.
Abbreviations
- An.
Anopheles
- bp
Base pair
- CTAB
Cetyltrimethylamonium bromide
- DDT
Dichlorodiphényltrichloroéthane
- DNA
Desoxyribonucleic acid
- EIR
Entomological inoculation rate
- F
Phenylalanin
- HLC
Human landing catch
- IRS
Indoor residual spraying
- IRSS
Institut de Recherche en Sciences de la Santé
- ITN
Insecticide treatment net
- Kdr
Knockdown resistance
- L
Leucine
- LLINs
Long-lasting insecticidal nets
- PBO
Piperonyl butoxide
- PCR
Polymerase chain reaction
- RR
Homozygous resistant
- RS
Heterozygous
- S
Serine
- SIR
Sporozoite infection rate
- s.l.
Sensu lato
- s.s.
Sensu stricto
- SS
Homozygous susceptible
- WHO
World Health Organization
Author contributions
Miriam Félicité AMARA, Design of the work; performed laboratory; acquisition; analysis; interpretation of data; study implementation; drafted the work Moussa NAMOUNTOUGOU, Design of the work; acquisition; approved the submitted version. Hamadou KONATE, analysis; study implementation; interpretation.Kouamé Wilfred Ulrich KOUADIO, analysis; interpretation Koudraogo Bienvenue Yaméogo, approved the submitted version Sadapawindé Thérèse KAGONE, study implementation Abdoulaye DIABATE, approved the submitted version. Olivier GNANKINE, Design of the work; interpretation; approved the submitted version.
Funding
This study was supported by Fonds National de la Recherche et de l’Innovation pour le Développement (FONRID-Burkina Faso) number: AAP3 FONRID_SGCI2-collaboratif-02, and CEA/ITECH/MTV grant awarded to AMARA Felicité on February 4, 2021.
Data availability
No datasets were generated or analysed during the current study.
Declarations
Ethics approval and consent to participate
This study was approved by the Ethical Research Committee of the Institut de Recherche en Sciences de la Santé (IRSS) under reference number 008–2022/CEIRES, on January 20, 2022. In accordance with national and institutional guidelines, informed consent was not required, as the study did not involve human participants or the collection of any personal or identifiable information. Only mosquito populations were collected for entomological analysis.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.WHO. World Malaria Report 2017 https://www.who.int/teams/global-malaria-programme/reports/world-malaria-report-2017. Accessed 16 Sep 2025
- 2.Zogo MB. Impact entomologique de stratégies complémentaires de lutte intégrée contre le paludisme dans un contexte de résistance des vecteurs aux insecticides au nord de la Côte d’Ivoire. 2020;
- 3.WHO. Situation et tendances de la résistance aux insecticides chez les vecteurs du paludisme (2018)
- 4.Dao AS. La résistance des vecteurs du paludisme aux insecticides https://123dok.net/article/la-r%C3%A9sistance-des-vecteurs-du-paludisme-aux-insecticides.zgw0x6wv. Accessed 16 Sep 2025
- 5.WHO. World malaria report. 2023 https://www.who.int/teams/global-malaria-programme/reports/world-malaria-report-2023. Accessed 18 Feb 2025
- 6.Namountougou M, Soma DD, Kientega M, Balboné M, Kaboré DPA, Drabo SF, et al. Insecticide resistance mechanisms in Anopheles gambiae complex populations from Burkina Faso, West Africa. Acta Trop. 2019;197:105054. [DOI] [PubMed] [Google Scholar]
- 7.Kone S, Toure M, Loukou KSP, Yapi GY. AFRIQUE SCIENCE - REVUE INTERNANATIONALE. 2023 10 - Résistance aux insecticides chez An. gambiae sl dans quatre localités bioclimatiques différentes en Côte d’Ivoire. Available from: https://afriquescience.net/. Accessed 16 Sep 2025
- 8.Tokponnon TF, Ossè R, Kossou J, Abadame R, Nouwagbe C, Gnacadja O, et al. Resistance profile of anopheles gambiae s.l. to Insecticides in the Atlantic, Littoral and Oueme Departments of Benin in West Africa. Adv Biosci Biotechnol. 2025;16(7):261–76. [Google Scholar]
- 9.Soma DD, Poda SB, Hien AS, Namountougou M, Sangaré I, Sawadogo JME, et al. Malaria vectors diversity, insecticide resistance and transmission during the rainy season in peri-urban villages of south-western Burkina Faso. Malar J. 2021;20(1):63. 10.1186/s12936-020-03554-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Sondo P, Valea I, Poda A, Tinto H. Prévention du paludisme en Afrique subsaharienne : états des lieux, enjeux et perspectives. Méd Maladies Infect Format. 2024;3(2):73–8. [Google Scholar]
- 11.Soma DD, Zogo B, Hien DFS, Hien AS, Kaboré DA, Kientega M, et al. Insecticide resistance status of malaria vectors Anopheles gambiae (sl) of southwest Burkina Faso and residual efficacy of indoor residual spraying with microencapsulated pirimiphos-methyl insecticide. Parasites Vectors. 2021;14(1):58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Oxborough RM, Chilito KLF, Tokponnon F, Messenger LA. Malaria vector control in sub-Saharan Africa: complex trade-offs to combat the growing threat of insecticide resistance. Lancet Planet Health. 2024;8(10):e804–12. [DOI] [PubMed] [Google Scholar]
- 13.Gnankiné O, Bassolé IHN, Chandre F, Glitho I, Akogbeto M, Dabiré RK, et al. Insecticide resistance in Bemisia tabaci Gennadius (Homoptera: Aleyrodidae) and Anopheles gambiae Giles (Diptera: Culicidae) could compromise the sustainability of malaria vector control strategies in West Africa. Acta Trop. 2013;128(1):7–17. [DOI] [PubMed] [Google Scholar]
- 14.Yaméogo F, Sombié A, Oté M, Saiki, E, Sakurai T, Wangrawa DW, et al. Three years of insecticide resistance evolution and associated mechanisms in Aedes aegypti populations of Ouagadougou, Burkina Faso | PLOS Neglected Tropical Diseases. https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0012138. Accessed 16 sep 2025 [DOI] [PMC free article] [PubMed]
- 15.Namountougou M, Soma DD, Sangare I, Djouaka R, Hien AS, Kientega M, et al. Use of different cotton pest control strategies (conventional, organic and transgenic) had no impact on insecticide resistance in Anopheles gambiae s.l. populations in Burkina Faso, West Africa. International Journal of Pest Management. 2024 Oct 1;70(4):901–12. [DOI] [PubMed] [Google Scholar]
- 16.Amara MF, Konaté H, Kouadio KWU, Yao RK, Ngaffo KL, Diabate A, et al. Human population exposure to residual malaria transmission by the main vector, Anopheles s.l. in the city of Bobo-Dioulasso, Burkina Faso | Research Square . 2025. https://www.researchsquare.com/article/rs-7048284/v1. Accessed 16 Sep 2025
- 17.Fournet F, Kassié D, Dabiré RK, Salem G. Analyse de la distribution socio-spatiale du paludisme dans une ville moyenne ouest africaine, Bobo-Dioulasso (Burkina Faso). Dynamiques environnementales Journal international de géosciences et de l’environnement. 2015 Jul 1;(36):146–65. [DOI] [PubMed] [Google Scholar]
- 18.Robert V, Gazin P, Ouedraogo V, Carnevale P. Le paludisme urbain à Bobo-Dioulasso (Burkina Faso) / 1. Etude entomologique de la transmission. 1986;XXIV(2).
- 19.Soma DD, Kassié D, Sanou S, Karama FB, Ouari A, Mamai W, et al. Uneven malaria transmission in geographically distinct districts of Bobo-Dioulasso, Burkina Faso. Parasit Vectors. 2018;11(1):296. 10.1186/s13071-018-2857-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Gillies MT, De Meillon B. Gillies, M.T. and De Meillon, B. (1968) The Anophelinae of Africa South of the Sahara. Publications of the South African Institute for Medical Research, Johannesburg. - References - Scientific Research Publishing. 1968. https://www.scirp.org/reference/referencespapers?referenceid=3151913. Accessed 16 Feb 2025
- 21.OMS. Stratégie Technique Mondiale de Lutte Contre Le Paludisme 2016-2030. World Health Organization; 2016. 39
- 22.WHO. Procédure opératoire standard pour déterminer la capacité du PBO à restaurer la sensibilité des moustiques adultes aux insecticides pyréthrinoïdes à l’aide des tests en tubes de l’OMS. 2023;
- 23.Cornel AJ, Collins FH. PCR of the Ribosomal DNA Intergenic Spacer Regions as a Method for Identifying Mosquitoes in the Anopheles gambiae Complex. In: Clapp JP, editor. Species Diagnostics Protocols: PCR and Other Nucleic acid Methods. Totowa, NJ: Humana Press; 1996 [cited 2025 Oct 15]. p. 321–32. 10.1385/0-89603-323-6:321 [DOI] [PubMed]
- 24.Santolamazza F, Mancini E, Simard F, Qi Y, Tu Z, Della TA. Insertion polymorphisms of SINE200 retrotransposons within speciation islands of Anopheles gambiae molecular forms. Malar J. 2008;7(1):163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Martinez-Torres D, Chandre F, Williamson MS, Darriet F, Bergé JB, Devonshire AL, et al. Molecular characterization of pyrethroid knockdown resistance (kdr) in the major malaria vector Anopheles gambiae s.s. Insect Mol Biol. 1998;7(2):179–84. [DOI] [PubMed] [Google Scholar]
- 26.Ranson H, Jensen B, Vulule JM, Wang X, Hemingway J, Collins FH. Identification of a point mutation in the voltage-gated sodium channel gene of Kenyan Anopheles gambiae associated with resistance to DDT and pyrethroids. Insect Mol Biol. 2000;9(5):491–7. [DOI] [PubMed] [Google Scholar]
- 27.Verhaeghen K, Van Bortel W, Roelants P, Backeljau T, Coosemans M. Detection of the East and West African kdr mutation in Anopheles gambiae and Anopheles arabiensis from Uganda using a new assay based on FRET/melt curve analysis. Malar J. 2006;5(1):16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Boonma P, Christensen PR, Suwanarusk R, Price RN, Russell B, Lek-Uthai U. Comparison of three molecular methods for the detection and speciation of Plasmodium vivax and Plasmodium falciparum. Malar J. 2007;6(1):124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Gimonneau G, Pombi M, Choisy M, Morand S, Dabiré RK, Simard F. Larval habitat segregation between the molecular forms of the mosquito Anopheles gambiae in a rice field area of Burkina Faso West Africa. Med Vet Entomol. 2012;26(1):9–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Tirados I, Costantini C, Gibson G, Torr SJ. Blood‐feeding behaviour of the malarial mosquito Anopheles arabiensis: implications for vector control - TIRADOS - 2006 - Medical and Veterinary Entomology - Wiley Online Library. 2006. https://resjournals.onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2915.2006.652.x. Accessed 20 Sep 2025 [DOI] [PubMed]
- 31.Limwagu AJ, Msugupakulya BJ, Ngowo HS, Mwalugelo YA, Kilalangongono MS, Samli FA, et al. The bionomics of Anopheles arabiensis and Anopheles funestus inside local houses and their implications for vector control strategies in areas with high coverage of insecticide-treated nets in South-eastern Tanzania. PLoS ONE. 2024;19(12):e0295482. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Pretorius E, Jones RT, Hutchins H, Teixeira Da Silva E, Ceesay S, Ndiath MO, et al. A survey of indoor and outdoor Anopheles density, species composition and circumsporozoite rate of malaria vectors on the Bijagós Archipelago Guinea-Bissau. Malaria J. 2025;24(1):195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Simard F, Ayala D, Kamdem GC, Pombi M, Etouna J, Ose K, et al. Ecological niche partitioning between Anopheles gambiae molecular forms in Cameroon: the ecological side of speciation. BMC Ecology. 2009. https://link.springer.com/article/10.1186/1472-6785-9-17. Accessed 20 Sep 2025 [DOI] [PMC free article] [PubMed]
- 34.Ranson H, N’Guessan R, Lines J, Moiroux N, Nkuni Z, Corbel V. Pyrethroid resistance in African anopheline mosquitoes: what are the implications for malaria control? Trends Parasitol. 2011;27(2):91–8. [DOI] [PubMed] [Google Scholar]
- 35.Leal SD, Sousa CD, Monteiro DD, Mendonca MD, Goncalves AA, DePina AJ. The geographical distribution of the malaria vector Anopheles arabiensis in Cabo Verde 2016–2023. Front Trop Dis. 2024;5:1353839. [Google Scholar]
- 36.Himeidan YE, Chen H, Chandre F, Donnelly MJ, Yan G. Short report : permethrin and DDT resistance in the malaria vector Anopheles arabiensis from eastern Sudan- fdi:010043751- Horizon. 2007 https://www.documentation.ird.fr/hor/fdi:010043751. Accessed 20 Sep 2025 [PubMed]
- 37.Munhenga G, Masendu HT, Brooke BD, Hunt RH, Koekemoer LK. Pyrethroid resistance in the major malaria vector Anopheles arabiensis from Gwave, a malaria-endemic area in Zimbabwe. Malar J. 2008;7(1):247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Balkew M, Ibrahim M, Koekemoer LL, Brooke BD, Engers H, Aseffa A, et al. Insecticide resistance in Anopheles arabiensis (Diptera: Culicidae) from villages in central, northern and south west Ethiopia and detection of kdr mutation. Parasit Vectors. 2010;3(1):40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Kouadio FPA, Wipf NC, Nygble AS, Fodjo BK, Sadia CG, Vontas J, et al. Relationship between insecticide resistance profiles in Anopheles gambiae sensu lato and agricultural practices in Côte d’Ivoire. Parasit Vectors. 2023;16(1):270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Oniha MI, Aina MO. Insecticide Resistance Markers in Anopheles gambiae Complex: Trends and Prospects. In: Isibor PO, Akinduti PA, editors. Harnessing Biotechnology Tools for Product Development: Selected Papers from the International Biotechnology Conference Exhibition and Workshop (IBCEW 2024). Cham: Springer; 2025. [Google Scholar]
- 41.Mavridis K, Wipf N, Medves S, Erquiaga I, Müller P, Vontas J. Rapid multiplex gene expression assays for monitoring metabolic resistance in the major malaria vector Anopheles gambiae. Parasit Vectors. 2019;12(1):9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Saizonou H, Impoinvil LM, Derilus D, Omoke D, Okeyo S, Dada N, et al. Transcriptomic analysis of Anopheles gambiae from Benin reveals overexpression of salivary and cuticular proteins associated with cross-resistance to pyrethroids and organophosphates. BMC Genomics. 2024;25(1):348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kabula B, Mlacha YP, Serbantez N, Nhiga SL, Mkude S, Kiware S, et al. Pyrethroid-resistant malaria vector Anopheles gambiae restored susceptibility after pre-exposure to piperonyl-butoxide: results from country-wide insecticide resistance monitoring in Tanzania, 2023. Malar J. 2024;23(1):395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Soma DD, Zogo B, Taconet P, Somé A, Coulibaly S, Baba-Moussa L, et al. Quantifying and characterizing hourly human exposure to malaria vectors bites to address residual malaria transmission during dry and rainy seasons in rural Southwest Burkina Faso. BMC Public Health. 2021;21(1):251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Namountougou M, Kientega M, Kaboré P, Soma D, Pare Toe L, Sawadogo J, et al. Residual malaria transmission: magnitude and drivers of persistent Plasmodium infections despite high coverage of control interventions in Burkina Faso, West Africa. Acta Trop. 2023;242:106913. [DOI] [PubMed] [Google Scholar]
- 46.Kone S, Toure M, Loukou KSP, Yapi YG. Résistance aux insecticides chez An. gambiae sl dans quatre localités bioclimatiques différentes en Côte d’Ivoire. 2023
- 47.Kouamé JKI, Edi CVA, Zahouli JBZ, Kouamé RMA, Kacou YAK, Yokoly FN, et al. Assessing species composition and insecticide resistance of Anopheles gambiae complex members in three coastal health districts of Côte d’Ivoire. PLoS ONE. 2024;19(12):e0297604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Keïta M, Kané F, Thiero O, Traoré B, Zeukeng F, Sodio AB, et al. Acetylcholinesterase (ace-1R) target site mutation G119S and resistance to carbamates in Anopheles gambiae (sensu lato) populations from Mali. Parasit Vectors. 2020;13(1):283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Zoh DD, Ahoua Alou LP, Toure M, Pennetier C, Camara S, Traore DF, et al. The current insecticide resistance status of Anopheles gambiae (sl) (Culicidae) in rural and urban areas of Bouaké Côte d’Ivoire. Parasites Vectors. 2018;11(1):118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Gnankiné O, Bassolé IHN. Essential oils as an alternative to pyrethroids’ resistance against Anopheles species complex Giles (Diptera: Culicidae). Molecules. 2017;22(10):1321. 10.3390/molecules22101321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Balboné M, Diloma Soma D, Fogné Drabo S, Namountougou M, Konaté H, Benson Meda G, et al. Alternatives to pyrethroid resistance: combinations of Cymbopogon nardus and Ocimum americanum essential oils improve the bioefficiency control against the adults’ populations of Aedes aegypti (Diptera: Culicidae). J Med Entomol. 2022;59(6):2102–9. [DOI] [PubMed] [Google Scholar]
- 52.Balboné M, Soma DD, Namountougou M, Drabo SF, Konaté H, Toe O, et al. Essential oils from five local plants: an alternative larvicide for anopheles gambiae sl (Diptera: Culicidae) and Aedes aegypti (Diptera: Culicidae) control in western burkina faso. Front Trop Dis. 2022. 10.3389/fitd.2022.853405/full. [Google Scholar]
- 53.Balboné M, Sawadogo I, Soma DD, Drabo SF, Namountougou M, Bayili K, et al. Essential oils of plants and their combinations as an alternative adulticides against Anopheles gambiae (Diptera: Culicidae) populations. Sci Rep. 2022;12(1):19077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Bouafou L. Ecologie des populations selvatiques d’Anopheles gambiae, vecteur du paludisme [phdthesis]. Université de Montpellier; 2024 https://theses.hal.science/tel-04916761. Accessed 22 Sep 2025
- 55.Ibrahim B, Waongo M, Sidibe M, Sanfo S, Barry B. Agroclimatological Characteristics of Rainy Seasons in Southwestern Burkina Faso during the 1970–2013 Period. 2022 https://scirp.org/journal/paperinformation?paperid=116362. Accessed 28 Jun 2025
- 56.Soma DD, Poda SB, Hien AS, Namountougou M, Sangaré I, Sawadogo JME, et al. Malaria vectors diversity, insecticide resistance and transmission during the rainy season in peri-urban villages of south-western Burkina Faso. Malar J. 2021;20(1):63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Kouadio KWU, Amara MF, Soma DD, Dabiré RK, Diabaté A, Gnankiné O, et al. Residual malaria transmission in Western Burkina Faso: vector behavior, insecticide resistance, and the efficacy limits of next-generation LLINs. Acta Trop. 2025;270:107824. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
No datasets were generated or analysed during the current study.




