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MalariaWorld Journal logoLink to MalariaWorld Journal
. 2026 Aug 21;17:19. doi: 10.5281/zenodo.22045349

Modified cone bioassay methods for evaluating chlorfenapyr indoor residual spray

Jordan Benson 1,2,*, Frank S C Tenywa 1,3,4, Saphina Ngonyani 1, Aidi G Lugenge 1, Jilly J Mseti 1, Elingarami Sauli 2, Luca Facchinelli 5, Sarah J Moore 1,2,3,4, Olukayode G Odufuwa 1,3,4
PMCID: PMC13508122  PMID: 42656854

Abstract

Background

Chlorfenapyr-based indoor residual spraying (IRS) has been prequalified for malaria control. Residual efficacy (mosquito mortality) of IRS applied to houses is typically assessed using forced-contact cone bioassays. However, chlorfenapyr is a pro-insecticide that requires mosquito metabolic activity for conversion to its toxic metabolite, tralopyril. Cone bioassays consistently underestimate mortality compared to free-flying bioassays. This study evaluated whether increasing mosquito activity during cone bioassays could better capture chlorfenapyr-induced mortality on mud surface using scalable methods.

Materials and Methods

The bioefficacy of chlorfenapyr (Sylando® 240 SC) sprayed on mud surfaces was assessed in two experiments using cone bioassays against sugar-fed, laboratory-reared pyrethroid-resistant Anopheles arabiensis and An. funestus. Experiment 1 evaluated six exposure scenarios varying cone contact time (30 vs. 120 min) and post-exposure activity using clean CDC bottles (none, 1-hr vs. 12-hrs). Experiment 2 assessed the interaction between exposure duration (30-min vs. 12-hrs) and the presence or absence of a host (rabbit). Delayed mortality was monitored up to 120 hrs. An indicative mortality threshold was estimated using a random-effect meta-analysis of three free-flying semi-field studies.

Results

Mortality remained low across all treatments in experiment 1 (7.8–15.4% at 72 hrs; 14.1–23.1% at 120 hrs), with no consistent improvement from post-exposure activity. In Experiment 2, mortality increased with 12-hrs exposure, particularly in the presence of a host (23.5% at 72 hrs; OR 2.25, 95% CI 1.71–2.97, p < 0.001). However, mortality remained well below the indicative value (52%).

Conclusions

Prolonged exposure and host presence modestly increased mortality, but did not produce values consistent with expected chlorfenapyr bioefficacy against free-flying mosquitoes. These findings suggest that modified cone bioassays are unlikely to provide reliable estimates of chlorfenapyr-IRS performance. Further validation is required to assess whether overnight cone tests in people's homes can provide a more realistic measure of residual bioefficacy.

Introduction

Indoor residual spraying (IRS), which involves applying insecticide to indoor surfaces such as walls and ceilings where mosquitoes rest [1], has contributed significantly to malaria reduction over the past decades [2]. IRS played a major role in malaria eradication in several countries [3], including recent successes in China and Egypt [4,5]. Sustained IRS use, significantly reduces malaria morbidity [6,7], and is useful for insecticide resistance management when combined with insecticide-treated nets (ITNs) with a different mode of action [8]. Given persistent malaria transmission and increasing insecticide resistance [9], maintaining effective IRS options from multiple insecticide classes remains essential.

However, resistance to commonly used insecticide classes, including pyrethroids, carbamates, and organophosphates, has weakened malaria vector control efforts [10,11], highlighting the need for new insecticide classes [12]. Chlorfenapyr is a novel pro-insecticide effective against pyrethroid-resistant malaria vectors [1315], which acts by disrupting mitochondrial respiration in mosquitoes, causing energy depletion, paralysis and death [16]. Initially developed for agricultural use, chlorfenapyr has demonstrated high efficacy (mosquito mortality) against pyrethroid-resistant mosquitoes when formulated for IRS [14,1719]. In 2024, the World Health Organization (WHO) prequalified Sylando® 240 SC, a chlorfenapyr-based IRS product for public health use [20].

IRS products undergo thorough testing, and are often assessed using a standard 30-min cone bioassay. Residual bioefficacy is generally considered satisfactory when mosquito mortality reaches ≥ 80% within the product specific assessment period [1,21]. However, chlorfenapyr-based IRS formulations failed to meet this WHO threshold in WHO Pesticide Evaluation Scheme (WHOPES) reviews, with 24-hrs mosquito mortality ranging from 22% to 69% in the first four months post-spraying [22]. This is likely because chlorfenapyr is a pro-insecticide best evaluated in free-flying bioassays where mosquitoes are sufficiently metabolically active to convert chlorfenapyr into its active metabolite, tralopyril [18,23]. The tunnel test is considered particularly reliable for such insecticides used in ITNs [23], but it is impractical for operational monitoring of IRS.

This study aimed to support the development of a simple, low-cost and robust bioassay that could be implemented by National Malaria Control Programmes (NMCPs) to monitor the residual efficacy of chlorfenapyr-based IRS products under operational conditions. To achieve this, two experiments were conducted. First, the standard Centres for Disease Control and Prevention (CDC) bottle bioassay can reliably assess chlorfenapyr bioefficacy, ensuring uniform exposure, movement and allowing sufficient time for metabolic activation [24]. Building on this principle, the present study evaluated a modified “flight cone” bioassay incorporating a post-exposure activation phase. Mosquitoes exposed to chlorfenapyr-treated mud surfaces for 30 or 120 minutes were transferred either directly to holding cups or into clean CDC glass bottles for 1 or 12 hrs in an attempt to stimulate movement, and promote conversion of chlorfenapyr into its active toxic form before mortality assessment [24]. The second experiment assessed the effect of host cues during exposure using four treatment permutations: 30-min cone exposure with or without the presence of a rabbit, and 12-hrs cone exposure with or without a rabbit. Mosquito mortality was measured at 24-hr intervals up to 120 hrs after exposure. To ensure consistent application of Sylando® 240SC, a track sprayer was used [25].

Materials and Methods

The study was conducted at the Vector Control Product Testing Unit (VCPTU) facility of the Ifakara Health Institute (IHI) in Bagamoyo (“6°8’ S, 30°37’ E”), Tanzania.

Study design

An iterative study design was used to investigate the optimum cone bioassay method for evaluating the bioefficacy of chlorfenapyr-IRS in the laboratory. Two experiments were conducted with the aim of increasing mosquito activity post cone exposure in order to increase mosquito mortality: The first experiment assessed two cone exposure durations (30 or 120 min) on chlorfenapyr-treated surfaces, followed by either no additional post-exposure activity or post-exposure mosquito activity in a clean CDC glass bottle for 1 or 12 hrs (flight cone bioassay). The experiment had six exposure arms:

  1. 30-min cone exposure

  2. 120-min cone exposure

  3. 30-min cone exposure + 1-hr CDC bottle confinement

  4. 30-min cone exposure + 12-hrs CDC bottle confinement

  5. 120-min cone exposure + 1-hr CDC bottle confinement

  6. 120-min cone exposure + 12-hrs CDC bottle confinement

Based on the results of the first experiment, a second experiment was conducted to assess the effect of cone exposure duration (30-min or 12-hrs exposure) in the presence and absence of a rabbit host in a test room. The experiment had four exposure arms:

  1. 30-min cone exposure without a rabbit

  2. 30-min cone exposure with a rabbit

  3. 12-hr cone exposure without a rabbit

  4. 12-hr cone exposure with a rabbit

Mosquitoes

Two pyrethroid-resistant species were used: Anopheles arabiensis (Kingani strain) and An. funestus (FUMOV strain), being the primary malaria vectors in Tanzania [26,27]. Mosquitoes were aged 3-5 days post-emergence and sugar-fed. Following WHO guidelines,the susceptibility profiles of the study mosquitoes were confirmed in February 2025 using WHO tube tests for pyrethroids and CDC bottle bioassays for chlorfenapyr (Table 1).

Table 1.

Resistance profile of laboratory colonies measured by mortality.

Mosquito species Strain Year of colonisation Test date (2025) Testing modality
Insecticide dose Deltamethrin (0.05%) Alpha-cypermethrin (0.05%) Chlorfenapyr 100mg/ml
Method WHO tube test WHO tube test CDC bottle bioassay
An. arabiensis Kingani 2005 21/02 % Mortality* 70% 62% 96%
An. funestus Fumov 2018 13/02 % Mortality* 52% 34% 100%

* Deltamethrin and alpha-cypermethrin mortality recorded after 24 hrs; chlorfenapyr after 72 hrs

All colonies were maintained at the Bagamoyo insectary by feeding larvae with Tetramin® fish flakes (Tetra GmbH, Melle, Germany) evenly dispersed on the water surface using a spoon and kept at a density of 200 larvae per L of distilled water. Adult mosquitoes were kept in 30x30x30 cm cages and were allowed to feed on 10% sucrose solution ad libitum. For egg production, adult mosquitoes were given cow blood through a membrane paper cup feeder. The insectary was maintained at a temperature of 27 ± 2°C and a relative humidity of 75 ± 10%, under a 12:12 ambient light-dark cycle in line with MR4 guidance [28].

Insecticide and its application

Sylando® 240SC is a suspension concentrate containing 240 g/L chlorfenapyr (21.45%) as the active ingredient. It was applied using a calibrated horizontal track sprayer (manufactured by Micron Sprayers Ltd., Herefordshire, UK) on mud surfaces (being the most commonly used surface for housing in village settings [29]) at a target dosage of 250 milligrams (mg) active ingredient per square metre (A.I./m²). The product is manufactured by BASF Agricultural Solutions GmbH, Germany, to be used in IRS for the control against pyrethroid-resistant mosquitoes. Untreated control mud panels were sprayed with water using a micron track sprayer.

Preparation of mud panels

A total of 14 mud panels (Figure 1) were prepared by cutting wood frames to uniform dimensions of 119.2 cm in length and 24 cm in width, thereby minimising variation between batches. The soil and sand were sieved separately to remove stones, gravel, and debris. The soil was sourced from the nearby village of Mtoni, the sand from the location of the facility, and deionised water from the insectary. Each mud panel was prepared according to internal Standard Operating Procedure (SOP) for substrate preparation using a ratio of 2 parts soil, 3 parts sand and 1.25 parts deionised water, corresponding to 2473.2 g of soil, 3709.8 g of sand, and 1546.9 mL of deionised water per panel. The three constituents were mixed and stirred vigorously for 3-5 min until the mixture was uniform. The mixture was then used to fill each panel to a thickness of 1 cm. A trowel was used to level and smooth the surface. This process was repeated for all panels, which were stored in the untreated materials store at 25.8 °C (IQR: 25.4-26.4) and 89.6% (IQR: 87.2-92.6) relative humidity and allowed to dry for at least 14 days before spraying. Before spraying, the surface of mud panels was scraped to measure pH, which was confirmed to be near-neutral (pH 7.5). After spraying, the panels were stored in the treated materials store at 27.3 °C (IQR: 26.5-27.8) and 84.4% (IQR: 81.5-87.8) relative humidity until testing.

Figure 1.

Figure 1

Mud panel preparation.

Micron track sprayer calibration

The horizontal Micron track Sprayer [25] was calibrated to an application rate of 30 ml/m2. This calibration involved a two-step process: adjusting both the track speed and the nozzle flow rate. First, the sprayer was set up with a TeeJet DG95015EVS nozzle (90-degree flat fan, 40 psi pressure, 45 cm height). The track speed was then calibrated to 0.30 m/s by timing its 1.6-metre movement. Next, the flow rate was confirmed by collecting the spray for 30 sec, yielding approximately 200 mL/min (±10 mL/min). To ensure the final application was accurate, fluorometry was used. Filter papers were sprayed and the fluorescent dye deposited was measured against a calibrated curve. This confirmed that the deposition volume was within ±10% of the target, and track speed adjustments were made as needed to achieve the desired volume (Figure 2).

Figure 2.

Figure 2

Spraying of the mud panel using the track sprayer.

Cone bioassay procedure

The standard cone bioassay was used as the reference comparator for the modified exposure and post-exposure holding conditions tested in this study [1]. For each cone bioassay replicate, 10 mosquitoes were exposed. Each species was exposed into separate cones using a siphon, and the cones were temporarily sealed with a plastic bung made from cotton wool inserted into the tip of a latex glove [21]. Mosquitoes were exposed to the insecticide and later transferred to a paper cup to assess mortality. All mosquitoes in the paper cups were provided with a 10% sugar solution and kept in a controlled environment (27±2C, 80±10% relative humidity) following WHO guidelines [21], to monitor mortality at 72 and 120 hrs. All tests were conducted in the evening from 17:00 hrs onwards to account for the mosquitoes' circadian rhythm [30]. Metabolic activity up-regulates at night [31], which influences both their detoxification and activation of chlorfenapyr [23].

Experimental procedures

Experiment 1: Exploring the flight cone bioassay

Experiments were conducted using 12 mud panels positioned at a 90° angle to mimic the vertical wall surfaces of rural houses under operational conditions (six mud panels were sprayed with Syllando® 240SC, and the other six mud panels were sprayed with water as controls). Mosquitoes were exposed to the insecticide for either 30 min (following the standard WHO protocol) or 120 min. To assess the performance of each of the treatment arms, the mosquitoes were processed in two different ways: 1) Mosquitoes were immediately aspirated into a paper holding cup after exposure; 2) Flight activity – mosquitoes were first moved to a clean CDC glass bottle [24] for either 1 or 12 hrs in an attempt to stimulate flight activity before they were transferred to a paper cup to assess mortality. The experiment was conducted over 8 nights from June 19th to July 14th, 2025. Each night, five cones per treatment arm were used, as well as a negative control for each treatment arm of the experiment (Figure 3). To ensure standardisation, experiments consistently started with the 120-min exposure arms, followed 1 hour later by the 30-min exposure arms. To control for positional bias on the mud panels, the allocation of species to the top or bottom locations was alternated each night. After a two-nights break, the sequence was repeated for nights 5-8.

Figure 3.

Figure 3

Flight cone bioassay schematic setup. Panels a–f represent treatment arms comprising: (a) 30-min cone exposure; (b) 30-min cone exposure + 1-hr CDC bottle confinement; (c) 30-min cone exposure + 12-hrs CDC bottle confinement; (d) 120-min cone exposure; (e) 120-min cone exposure + 1-hr CDC bottle confinement; and (f) 120-min cone exposure + 12-hrs CDC bottle confinement.

Experiment 2: Influence of a host (rabbit) in the test room

It was assumed that the presence of a host might increase mosquito movement within the cones, enabling more conversion of the pro-insecticide to its metabolite. Therefore, to assess the performance of the cone-host bioassay in estimating the bioefficacy of chlorfenapyr-IRS in the presence of a rabbit host, the tests were conducted over 4 nights (24-28th November, 2025) using 2 test rooms. These rooms were separated by a central buffer room to ensure independence of observations (Figure 4). Each night, three mud panels were positioned at a 90° angle in each room. The experimental setup evaluated two distinct conditions:

Figure 4.

Figure 4

Schematic of the host-cone bioassay setup. Panels (a) and (b) represent treated mud surfaces and (c) the control within a room containing a host; while (d) and (e) represent treated mud surfaces and (f) the control in the room with no host.

Host Room: This room contained two chlorfenapyr-treated mud panels, one untreated mud panel, and a caged rabbit. The panels were positioned about 120 cm away from the rabbit.

No-Host Room: This room had the same mud panel setup (two treated, one untreated) but did not contain a rabbit.

In each test room, five cones per treatment arm were used. To account for any positional bias, the species’ locations on the mud panels (top or bottom) were alternated each night. Each night, mosquitoes were exposed to one of two exposure experimental arms for 30 min or 12 hrs. Following exposure, they were moved to paper cups with a 10% sugar solution, held under standard conditions with mosquito mortality assessed at 72 and 120 hrs.

Data management and statistical analysis

Data were collected using paper forms and double-entered into Microsoft Excel. Data were cleaned and analysed using STATA statistical software, version 18.0 [32]. Data were cleaned by checking the balance of arms, replicates and number of mosquitoes exposed, alive and dead. Descriptive statistics were used to summarise the number of mosquitoes exposed, the number of mosquitoes dead and the percentage arithmetic mean mortality with corresponding 95% confidence intervals per treatment arm, with data were presented in tables and figures. The experiment was considered valid when mortality in the negative control did not exceed 20% at 72 hrs after exposure.

Binomial logistic regression was performed to assess mosquito mortality at 72 hrs (M72) as the primary outcome and 120 hrs (M120) as the secondary outcome to compare the exploratory exposure arms against the standard 30-min cone bioassay. The regression models were performed on pooled (all species) mortality, adjusted for mosquito species (An. arabiensis and An. funestus), and the day of the experiment as fixed effects, because both factors have been shown to be sources of variation in cone tests [33]. For the species-specific subgroup analyses (presented in Supplementary Tables 1 and 2), day of the experiment was a fixed effect.

Table 2.

Delayed mortality at 72 and 120 hrs of An. arabiensis and An. funestus following cone exposure on chlorfenapyr-treated mud surfaces and CDC bottle confinement.

72 hrs holding time (Combined An. arabiensis and An. funestus)
Treatment arms Total exposed (400 per test day) No Dead % Arithmetic mean mortality (95% CI) OR* (95% CI) p-value
Cone-exposure time (mins) Post-exposure activity time (hrs) in a clean CDC bottle
30 None 800 94 11.8 (8.0 – 15.5) 1.00
120 None 800 71 8.9 (6.1 – 11.7) 0.73 (0.52 – 1.01) 0.056
30 1 CDC 800 66 8.2 (5.3 – 11.2) 0.67 (0.48 – 0.93) 0.019
120 1 CDC 800 62 7.8 (5.1 – 10.4) 0.62 (0.44 – 0.88) 0.007
30 12 CDC 800 123 15.4 (12.0 – 18.8) 1.38 (1.03 – 1.85) 0.032
120 12 CDC 800 97 12.1 (8.9 – 15.3) 1.04 (0.76 – 1.41) 0.814
120 hrs holding time (Combined An. arabiensis and An. funestus)
30 None 800 155 19.4 (14.6 – 24.2) 1.00
120 None 800 123 15.4 (11.9 – 18.9) 0.75 (0.57 – 0.97) 0.031
30 1 CDC 800 137 17.1 (12.8 – 21.5) 0.85 (0.66 – 1.11) 0.233
120 1 CDC 800 113 14.1 (10.3 – 17.9) 0.67 (0.51 – 0.88) 0.004
30 12 CDC 800 185 23.1 (18.9 – 27.3) 1.27 (0.99 – 1.62) 0.060
120 12 CDC 800 176 22.0 (17.9 – 26.1) 1.18 (0.92 – 1.52) 0.183

* Adjusted Odds Ratio

Exploratory arms were assessed to identify mortality proportions within ±5% of the meta-analysis-derived indicative value for chlorfenapyr-IRS cone bioassays (Supplementary Table 3). This value was established because chlorfenapyr-IRS cone tests typically fall below the historical 80% mosquito mortality WHO threshold [14,15,18]. It was modelled using a random-effects framework that pooled 72-hr mosquito mortality proportions from three eligible studies: one miniature experimental hut (MEH) that is within the study site and two trials in experimental huts from Benin, adjusting for study-level variations as a random effect [14,18,19].

Table 3.

Delayed mortality at 72 and 120 hrs of An. arabiensis and An. funestus following cone exposure on chlorfenapyr-treated mud surfaces with and without rabbit.

72 hrs holding time (Combined An. arabiensis and An. funestus)
Treatment arms Total exposed (400 per test day) No Dead % Arithmetic mean mortality (95% CI) ORa (95% CI) p-value
30 min exposure; no rabbit 800 101 12.6 (9.1 – 16.1) 1.00
30 min exposure; with rabbit 800 81 10.1 (7.6 – 12.6) 0.77 (0.56 – 1.06) 0.107
12 hrs exposure; no rabbit 800 123 15.4 (11.5 – 19.3) 1.28 (0.95 – 1.71) 0.103
12 hrs exposure; with rabbit 800 188 23.5 (18.7 – 28.3) 2.25 (1.71 – 2.97) <0.001
120 hrs holding time (Combined An. arabiensis and An. funestus)
30 min exposure; no rabbit 800 181 22.6 (17.5 – 27.8) 1.00
30 min exposure; with rabbit 800 192 24.0 (19.7 – 28.3) 1.09 (0.85 – 1.39) 0.494
12 hrs exposure; no rabbit 800 219 27.4 (22.6 – 32.1) 1.33 (1.04 – 1.68) 0.021
12 hrs exposure; with rabbit 800 255 31.9 (26.7 – 37.1) 1.69 (1.34 – 2.14) <0.001

* Adjusted Odds Ratio

Results

In all experiments, the temperature and relative humidity within the testing and holding rooms were maintained between 27 ± 2°C and 80 ± 20%, respectively, in line with the WHO guidelines. Negative control mortality was 0.13% (95% CI: 0.08 – 0.17) at 72 hrs in flight cone bioassay, and 1.63% (95% CI: 1.29 – 1.96) at 72 hrs in the host experiment; therefore, mortality was not control-corrected [34].

Delayed mosquito mortality following flight cone bioassay exposure

Overall, mortality responses were modest and inconsistent, with no clear improvement associated with increased exposure duration or short-term post-exposure activity, while longer post-exposure activity produced moderate increases in delayed mortality (Table 2).

72-hours mortality

At 72 hrs post-exposure, mortality was low across all treatment conditions, ranging from 7.8% to 15.4%. Compared with the reference condition (30-min cone exposure without post-exposure activity; 11.8% mortality), mortality was significantly reduced after both 30 and 120-min exposures followed by 1 hr in a clean CDC bottle (OR = 0.67, 95% CI: 0.48–0.93, p = 0.019; and OR = 0.62, 95% CI: 0.44–0.88, p = 0.007, respectively). A similar, borderline reduction was observed with 120-min exposure without post-exposure activity (8.9% mortality; OR = 0.73, 95% CI: 0.52–1.01, p = 0.056). In contrast, extending post-exposure activity to 12 hrs significantly increased mortality to 15.4% after 30-min exposure (OR = 1.38, 95% CI: 1.03–1.85, p = 0.032), but had no effect following 120-min exposure (12.1%; OR = 1.04, 95% CI: 0.76–1.41, p = 0.814) (Table 2).

120-hours mortality

At 120 hrs post-exposure, mortality was slightly increased across all treatments (14.1%–23.1%), (Table 2) and greater differences between treatment arms were observed. Relative to the reference condition (30-min exposure with no activity; 19.4% mortality), mortality was significantly lower after 120-min exposure without activity (15.4%; OR = 0.75, 95% CI: 0.57–0.97, p = 0.031) and 120-min exposure plus 1 hr of activity (14.1%; OR = 0.67, 95% CI: 0.51–0.88, p = 0.004). No significant difference was observed for 30-min exposure with 1 hr of activity (17.1%; OR = 0.85, 95% CI: 0.66–1.11, p = 0.233). In contrast, 12 hrs of activity slightly increased mortality following both 30 and 120-min exposures but this was not significant (23.1% and 22.0%; OR = 1.27, 95% CI: 0.99–1.62, p = 0.060; and OR = 1.18, 95% CI: 0.92–1.52, p = 0.183, respectively) (Table 2).

Species differences were observed, where An. arabiensis consistently showed higher mortality than An. funestus at both 72 hrs (9.5-17.5% vs 2.5-13.2%, respectively) and 120 hrs (19.8-26.5% vs 7.5-20.8%, respectively). Although, both species showed increased delayed mortality, the increase was more marked in An. funestus (Figure 5 and Supplementary Table 1).

Figure 5.

Figure 5

Delayed mosquito mortality at 72 hrs (green) and 120 hrs (red) in the flight cone bioassay for pyrethroid-resistant An. arabiensis and An. funestus. The black dotted line indicates the WHO threshold level (80%) and the red dotted line represents the indicative value (52%).

Delayed mosquito mortality following cone bioassay with and without the host

At 72 hrs post-exposure, mosquito mortality varied by exposure duration and host presence. Under the reference condition (30-min exposure without rabbit), mortality was 12.6%. The presence of a rabbit during 30-min exposure reduced mortality to 10.1% (OR = 0.77, 95% CI: 0.56–1.06, p =

0.107). Extending exposure to 12 hrs without a rabbit increased mortality to 15.4%, although this was not statistically significant (OR = 1.28, 95% CI: 0.95–1.71, p = 0.103). In contrast, 12-hrs exposure with a rabbit significantly increased mortality to 23.5%, more than doubling the odds of death compared with the reference (OR = 2.25, 95% CI: 1.71–2.97, p < 0.001) (Table 3).

At 120 hrs post-exposure, mortality increased across all treatments, ranging from 22.6% to 31.9%. Compared with the reference condition (30-min exposure without rabbit; 22.6%), 30-min exposure with a rabbit resulted in a modest, non-significant increase in mortality (24.0%; OR = 1.09, 95% CI: 0.85–1.39, p = 0.494). Extending exposure to 12 hrs without a rabbit increased mortality to 27.4%, with a significant increase in the odds of death (OR = 1.33, 95% CI: 1.04–1.68, p = 0.021). The highest mortality was observed after 12-hrs exposure in the presence of a rabbit (31.9%), with rabbit presence significantly increasing the odds of death (OR = 1.69, 95% CI: 1.34–2.14, p < 0.001) (Table 3).

Species differences were again observed, with a consistently higher mortality in An. arabiensis than An. funestus at both 72 hrs (14.2–36.5% vs 4.5–10.5%, respectively) and 120 hrs (34.2–45.0% vs 9.2–18.8%, respectively). However, at 120 hrs, An. funestus showed consistent and increased mortality across all treatment conditions (Figure 6 and Supplementary Table 2).

Figure 6.

Figure 6

Delayed mosquito mortality at 72 hrs (green) and 120 hrs (red) in the cone bioassay with and without host (rabbit) for pyrethroid-resistant An. arabiensis and An. funestus. The black dotted line indicates the WHO threshold level (80%) and the red dotted line represents the indicative value (52%).

Meta-analysis

The indicative value estimated from the meta-analysis was 52% (95% Confidence Interval: 41, 66%). Overall, mortality remained below the ±5% indicative value across all treatment conditions, suggesting that none of the treatment conditions reliably assessed the bioefficacy of chlorfenapyr-IRS. Observed mosquito mortality in the cone bioassay, both with and without rabbit, ranged from 12.6 to 23.5% at 72 hrs and 22.6 to 31.9% at 120 hrs.

Discussion

Indoor residual spraying with chlorfenapyr (Sy-lando® 240SC) is an important tool for malaria vector control, particularly in areas with high pyrethroid resistance where chlorfenapyr ITNs are not in use [18,35]. However, assessing the bioefficacy of chlorfenapyr on treated walls using the standard 30-min cone bioassay remains challenging, as cone bioassays consistently underestimate chlorfenapyr efficacy [14,18,23]. This study investigated a modified cone bioassay to better capture the bioefficacy of Sylando® 240SC applied to mud surface, by assessing the effect of extended cone exposure time, post-exposure mosquito confinement in a clean CDC bottle, and host presence (rabbit) in a test room. To capture the full effect of chlorfenapyr, delayed mortality was monitored from 72 to 120 hrs. While some studies extend observations to 168 hrs [19], assessments in this study ended at 120 hrs. Although the results did not differ substantially from a traditional cone bioassay, suggesting this specific method may not be recommended for operational monitoring, the design provides a mechanistic insight into how host-seeking behaviour and mosquito activity influence chlorfenapyr performance.

The relatively low mortality observed in this study is consistent with the known mode of action of chlorfenapyr. Unlike neurotoxic insecticides that cause rapid knockdown, chlorfenapyr acts as a pro-insecticide that disrupts mitochondrial respiration after metabolic activation [16]. As a result, toxicity is strongly influenced by mosquito metabolic activity and typically results in delayed mortality [23]. Because the standard cone bioassay restricts mosquito movement and limits flight [14,18,19,23,36], it may not provide sufficient conditions for full activation of chlorfenapyr, which may have contributed to the modest mortality observed in this study.

The addition of a clean CDC bottle bioassay was intended to stimulate mosquito activity after contact with the treated surface, as it is not easy for the mosquitoes to rest on its smooth surface and we anticipated that it would promote movement and allow time for metabolic activation [24]. However, the CDC bottle did not consistently improve mosquito mortality. This may be because mosquitoes, after being transferred from the cone to the CDC bottles, were quite still after an initial period of flight and rested most of the time at the bottom of the CDC bottles, as is often observed in untreated control CDC bottle bioassays when doing susceptibility tests, resulting in insufficient sustained activity to increase metabolic rate and promote chlorfenapyr bioactivation. The findings therefore do not support the addition of a post-cone holding period in clean CDC bottles to increase the conversion of chlorfenapyr to its metabolite.

While 12 hrs of exposure with a rabbit significantly increased mosquito mortality, this may reflect a behavioural response to physical or odour cues. However, mosquito mortality still failed to fall within 5% of the indicative value when a rabbit was present, likely reflecting the dominant role of host preference and behaviour. Although An. funestus is predominantly anthropophilic and An. arabiensis is more zoophilic [37,38], both laboratory strains readily feed on rabbits, suggesting host choice was not a limiting factor. Rather, it is possible that the presence of a small stationary host was insufficient to stimulate mosquito flight activity within the cone. Moreover, the cone bioassay enforces forced contact with the surface and restricts free-flying host-seeking behaviour [14], mosquitoes may quickly rest further limiting insecticide conversion. Although increasing the number of rabbits could theoretically strengthen odour and heat plumes and enhance activation, host attractiveness rather than host quantity alone drives mosquito stimulation. Humans provide stronger and more continuous cues to which An. funestus and An. arabiensis are highly responsive [39,40]. Therefore, in operational village settings, human presence and movement would likely increase mosquito interaction with chlorfenapyr-treated walls more than a single rabbit in a test room, potentially resulting in higher mortality. Further work using cones applied overnight in experimental huts or local homes with humans moving around inside to explore this hypothesis is warranted.

Cone exposure time showed context-dependent effects across the two experiments, indicating that duration alone was insufficient to consistently increase chlorfenapyr's efficacy without concurrent mosquito activity [14,18,23,36]. In the flight cone bioassay, increasing exposure time from 30 to 120 minutes did not improve and occasionally reduced mosquito mortality at both 72 and 120 hrs. This suggests that prolonged static contact with chlorfenapyr-treated mud surface limits mosquito activity, thereby reducing the metabolic conversion of chlorfenapyr into its lethal metabolite [14,18,23]. Instead, mortality was modestly increased with extended post-exposure confinement in a clean CDC bottle, indicating that the bottle environment partially stimulated mosquito movement. In contrast, extending exposure time from 30 minutes to 12 hours in the host-cone bioassay consistently increased mortality, especially in the presence of a host, where behavioural stimulation occasionally activated the mosquitoes, increasing movement and enhancing metabolic activation.

Overall, mortality at 72 hours was consistently higher in An. arabiensis than in An. funestus, reflecting the differences in resistance level between the species (Table 1). This difference was also in line with findings from a recent study conducted in the same facility. On mud substrates, chlorfenapyr induced 66.2% mortality in An. arabiensis and 39.5% in An. funestus at 72 hrs over 12 months using a miniature experimental hut (MEH) with a rabbit host [19]. The comparatively higher mortality observed likely reflects differences in assay design, as the MEH permits free flight and host-seeking behaviour, thereby enhancing metabolic activation, whereas the cone bioassay used in this study restricts mosquito movement. Notably, both studies show a consistent increase in mortality over time for both species, indicating the slow-acting nature of chlorfenapyr and its conversion to lethal metabolite is observed over longer duration holding time [23].

Limitations

This study had two limitations. First, because chemical deposition on the filter papers was not verified, the actual chlorfenapyr dose may have been lower than anticipated. Second, mosquitoes surviving or succumbing to exposure were not collected in Eppendorf microcentrifuge tubes for downstream biochemical analysis. Chlorfenapyr is a pro-insecticide that requires metabolic bioactivation by cytochrome P450 monooxygenases into its toxic form, tralopyril. Because we did not quantify the relative recovery of parent chlorfenapyr versus bioactivated tralopyril within individual insects, we cannot definitively conclude whether instances of low mortality were caused by insufficient metabolic conversion or by phenotypic recalcitrance to the treated substrates. Future evaluations would benefit from separate molecular profiling of dead and surviving cohorts to isolate these biochemical mechanisms.

An important consideration extending beyond this study is the increasing deployment of chlorfe-napyr-based dual-active ingredient ITNs across sub-Saharan Africa [41]. These dual AI nets have demonstrated superior efficacy over standard pyrethroid and pyrethroid-PBO ITNs in reducing malaria incidence [42,43], making them a cornerstone of current vector control strategies. However, co-deploying chlorfenapyr-based IRS in the same operational environments could significantly increase selection pressure, potentially accelerating the development of malaria mosquito resistance and compromising the long-term effectiveness of this vital chemical class. To preserve chlorfenapyr susceptibility, its use in IRS programs should be carefully balanced within an integrated insecticide resistance management (IRM) framework [44]. This might include strategically restricting chlorfenapyr-based IRS to targeted epidemiological settings, such as internally displaced persons (IDP) camps, or prioritising alternative chemical classes for standard IRS campaigns where next-generation ITNs are already widely distributed.

Conclusions

This study demonstrates small and context-dependent changes in delayed mortality associated with prolonged exposure and increased mosquito activity, consistent with the role of metabolic activation in chlorfenapyr efficacy. However, these effects were limited and inconsistent and did not result in mortality levels indicative of improved bioefficacy or support the use of these modifications for operational monitoring. Further work is required to evaluate whether more behaviourally realistic exposure conditions can improve the measurements of chlorfenapyr IRS performance.

Acknowledgements

Special thanks to all members of the Vector Control Product Testing Unit, particularly the insectary and testing teams, for their efforts in mosquito rearing, collection, and bioassays. We also sincerely thank Mr. Jason Moore for his management and excellent technical support. We are grateful to Dr. Kyeba Swai for reviewing this manuscript, Mr. Alphonce Assenga for figure preparation, and Mr. Dismas Kamande for assistance with spraying. The invaluable review and feedback provided by Dr. James Austin of BASF is gratefully acknowledged. This study was financially supported by IHI-VCPTU and the Training and Capacity Building Unit. Permission to conduct the study was obtained from the IHI institutional review board (IHI-IRB), referenced IHI/IRB/No: 25-2025 and the Tanzanian National Institute for Medical Research (NIMR), referenced NIMR No: NATHREC-NEW-2024-059. Permission to publish the study was obtained from the National Institute for Medical Research (NIMR) reference No: BD.242/437/01C/253.

Supplementary Table 1.

Delayed mortality at 72 and 120 hours of An. funestus and An. arabiensis following cone exposure on chlorfenapyr-treated mud surfaces and CDC bottle confinement.

Mosquito species (holding time) Treatment arms Total exposed per test day No. dead % Arithmetic mean mortality (95% CI) OR* (95% CI) p-value
Cone-exposure time (mins) Post-exposure activity time (hrs) in a clean CDC bottle
An. arabiensis (72 hrs) 30 None 400 69 17.2 (11.0 – 23.5) 1.00
120 None 400 61 15.2 (10.6 – 19.9) 0.86 (0.59 – 1.26) 0.453
30 1 hr CDC 400 38 9.5 (6.7 – 12.3) 0.49 (0.32 – 0.76) 0.001
120 1 hr CDC 400 43 10.8 (6.2 – 15.3) 0.57 (0.37 – 0.86) 0.008
30 12 hrs CDC 400 70 17.5 (12.1 – 22.9) 1.02 (0.70 – 1.48) 0.924
120 12 hrs CDC 400 60 15.0 (9.7 – 20.3) 0.84 (0.57 – 1.24) 0.379
An. funestus (72 hrs) 30 None 400 25 6.2 (2.9 – 9.6) 1.00
120 None 400 10 2.5 (1.0 – 4.0) 0.38 (0.18 – 0.81) 0.012
30 1 hr CDC 400 28 7.0 (1.8 – 12.2) 1.13 (0.64 – 1.99) 0.667
120 1 hr CDC 400 19 4.8 (2.3 – 7.2) 0.74 (0.40 – 1.38) 0.350
30 12 hrs CDC 400 53 13.2 (9.2 17.3) 2.34 (1.41 – 3.87) 0.001
120 12 hrs CDC 400 37 9.2 (5.8 – 12.7) 1.54 (0.91 – 2.63) 0.111
An. arabiensis (120 hrs) 30 None 400 104 26.0 (17.9 – 34.1) 1.00
120 None 400 93 23.2 (17.9 – 28.6) 0.85 (0.61 – 1.19) 0.350
30 1 hr CDC 400 85 21.2 (15.9 – 26.6) 0.75 (0.54 – 1.06) 0.102
120 1 hr CDC 400 79 19.8 (13.3 – 26.2) 0.68 (0.48 – 0.96) 0.030
30 12 hrs CDC 400 106 26.5 (19.8 – 33.2) 1.03 (0.74 – 1.43) 0.868
120 12 CDC 400 93 23.2 (17.3 – 29.2) 0.85 (0.61 – 1.19) 0.350
An. funestus (120 hrs) 30 None 400 51 12.8 (8.3 – 17.2) 1.00
120 None 400 30 7.5 (4.5 – 10.5) 0.54 (0.34 – 0.88) 0.013
30 1 hr CDC 400 52 13.0 (6.4 – 19.6) 1.02 (0.67 – 1.56) 0.914
120 1 hr CDC 400 34 8.5 (5.3 – 11.7) 0.63 (0.39 – 1.00) 0.049
30 12 hrs CDC 400 79 19.8 (14.8 – 24.7) 1.73 (1.17 – 2.56) 0.006
120 12 hrs CDC 400 83 20.8 (15.1 – 26.4) 1.85 (1.25 – 2.73) 0.002

* Adjusted Odds Ratio

Supplementary Table 2.

Delayed mortality at 72 and 120 hours of An. funestus and An. arabiensis following cone exposure on chlorfenapyr-treated mud surfaces and CDC bottle confinement.

Mosquito species (holding time) Treatment arms Total exposed per test day No. Dead % Arithmetic mean mortality (95% CI) OR*(95% CI) p-value
An. arabiensis (72 hrs) Treated panel 30 min no rabbit 400 83 20.8 (15.3 – 26.2) 1.00
Treated panel 30 min with rabbit 400 57 14.2 (10.3 – 18.2) 0.63 (0.43 – 0.91) 0.015
Treated panel 12 hrs no rabbit 400 92 23.0 (17.3 – 28.7) 1.15 (0.81 – 1.61) 0.433
Treated panel 12 hrs with rabbit 400 146 36.5 (29.5 – 43.5) 2.28 (1.65 – 3.15) <0.001
An. funestus (72 hrs) Treated panel 30 min no rabbit 400 18 4.5 (1.8 – 7.2) 1.00
Treated panel 30 min with rabbit 400 24 6.0 (3.5 – 8.5) 1.36 (0.72 – 2.55) 0.342
Treated panel 12 hrs no rabbit 400 31 7.8 (3.7 – 11.8) 1.79 (0.98 – 3.26) 0.057
Treated panel 12 hrs with rabbit 400 42 10.5 (6.9 – 14.1) 2.51 (1.41 – 4.44) 0.002
An. arabiensis (120 hrs) Treated panel 30 min no rabbit 400 144 36.0 (28.3 – 43.7) 1.00
Treated panel 30 min with rabbit 400 137 34.2 (28.3 – 40.2) 0.92 (0.68 – 1.24) 0.589
Treated panel 12 hrs no rabbit 400 150 37.5 (31.3 – 43.7) 1.07 (0.79 – 1.45) 0.646
Treated panel 12 hrs with rabbit 400 180 45.0 (37.5 – 52.5) 1.51 (1.12 – 2.03) 0.007
An. funestus (120 hrs) Treated panel 30 min no rabbit 400 37 9.2 (5.8 – 12.7) 1.00
Treated panel 30min with rabbit 400 55 13.8 (9.4 – 18.1) 1.58 (1.01 – 2.46) 0.045
Treated panel 12hrs no rabbit 400 69 17.2 (11.5 – 23.0) 2.07 (1.35 – 3.19) 0.001
Treated panel 12hrs with rabbit 400 75 18.8 (14.3 – 23.2) 2.30 (0.50 – 3.52) <0.001

* Adjusted Odds Ratio

Supplementary Table 3.

Meta-analysis table.

Database Search keywords Studies identified Eligible studies included Inclusion criteria
PubMed ("chlorfenapyr") OR ("Sylando 240SC") OR ("pyrrole") AND ("indoor residual spraying") AND ("pyrethroid-resistant mosquito") 7 records 2 studies 1: Community trials (wall cone bioassay); 2: Experimental hut trials (wall cone bioassay); 3: Ifakara Ambient Chamber Test (I-ACT); 4: Resistant Anopheles mosquito species; 5: Surface sprayed with chlorfenapyr.
Google scholar ("chlorfenapyr" OR "Sylando 240SC" OR "pyrrole" AND "indoor residual spraying" AND pyrethroid-resistant mosquito) 612 records 3 studies

Competing Interests

The authors declare no competing interests.

References

  • 1.World Health Organization: Operational manual on indoor residual spraying. Geneva, World Health Organization. 2024. https://tinyurl.com/45abp4ub (Accessed 24 July 2026)
  • 2.Malaria Atlas Project: The changing impact of malaria control in Africa 2000-2025. 2025. https://tinyurl.com/3rsxa58z (Accessed 24 July 2026)
  • 3.Pluess B, Tanser FC, Lengeler C, Sharp BL. Indoor residual spraying for preventing malaria. Cochrane Database Syst. Rev. 2010:CD006657. doi: 10.1002/14651858.cd006657.pub2. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.World Health Organization: Egypt is certified malaria-free by WHO. 2024. https://tinyurl.com/93fvupfd (Accessed 24 July 2026)
  • 5.Burki T. Triumph in China as it is certified malaria-free by WHO. Lancet Infect. Dis. 2021;21:1220–1221. doi: 10.1016/s1473-3099(21)00491-6. Doi: [DOI] [PubMed] [Google Scholar]
  • 6.Namuganga JF, Epstein A, Nankabirwa JI, Mpimbaza A et al. The impact of stopping and starting indoor residual spraying on malaria burden in Uganda. Nat. Commun. 2021;12:2635. doi: 10.1038/s41467-021-22896-5. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Tukei BB, Beke A, Lamadrid-Figueroa H. Assessing the effect of indoor residual spraying (IRS) on malaria morbidity in Northern Uganda: a before and after study. Malar. J. 2017;16:4. doi: 10.1186/s12936-016-1652-4. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ngufor C, Fagbohoun J, Critchley J, N'Guessan R et al. Which intervention is better for malaria vector control: insecticide mixture long-lasting insecticidal nets or standard pyrethroid nets combined with indoor residual spraying? Malar. J. 2017;16:340. doi: 10.1186/s12936-017-1987-5. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Hemingway J, Ranson H, Magill A, Kolaczinski J et al. Averting a malaria disaster: will insecticide resistance derail malaria control? Lancet. 2016;387:1785–1788. doi: 10.1016/s0140-6736(15)00417-1. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Tabue RN, Gbalegba CGN, Mwalimu CD, Tunga PK et al. Managing insecticide resistance in malaria vectors in Africa: case studies from Cameroon, Côte d'Ivoire and Tanzania. Malar. J. 2025;24:375. doi: 10.1186/s12936-025-05606-0. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Asafu-Adjaye A, Chabi J, Malm K, Akrofi OO et al. Trends and patterns of insecticide susceptibility of Anopheles gambiae between 2015 and 2020: implications for malaria vector control interventions in Ghana. Malar. J. 2025;25:22. doi: 10.1186/s12936-025-05733-8. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Raghavendra K, Barik TK, Sharma P, Bhatt RM et al. Chlorfenapyr: a new insecticide with novel mode of action can control pyrethroid resistant malaria vectors. Malar. J. 2011;10:16. doi: 10.1186/1475-2875-10-16. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Huang P, Yan X, Yu B, He X et al. A comprehensive review of the current knowledge of chlorfenapyr: Synthesis, mode of action, resistance, and environmental toxicology. Molecules. 2023;28:7673. doi: 10.3390/molecules28227673. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ngufor C, Critchley J, Fagbohoun J, N'Guessan R et al. Chlorfenapyr (a pyrrole insecticide) applied alone or as a mixture with alpha-cypermethrin for indoor residual spraying against pyrethroid resistant Anopheles gambiae sl: An experimental hut study in Cove, Benin. PLoS One. 2016;11:e0162210. doi: 10.1371/journal.pone.0162210. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Oxborough RM, Kitau J, Matowo J, Mndeme R et al. Evaluation of indoor residual spraying with the pyrrole insecticide chlorfenapyr against pyrethroid-susceptible Anopheles arabiensis and pyrethroid-resistant Culex quinquefasciatus mosquitoes. Trans. R. Soc. Trop. Med. Hyg. 2010;104:639–645. doi: 10.1016/j.trstmh.2010.07.008. Doi: [DOI] [PubMed] [Google Scholar]
  • 16.Black BC, Hollingworth RM, Ahammad Sahib KI, Kukel CD et al. Insecticidal action and mitochondrial uncoupling activity of AC-303,630 and related halogenated pyrroles. Pestic. Biochem. Physiol. 1994;50:115–128. doi: 10.1006/pest.1994.1064. Doi: [DOI] [Google Scholar]
  • 17.Mosha FW, Lyimo IN, Oxborough RM, Malima R et al. Experimental hut evaluation of the pyrrole insecticide chlorfenapyr on bed nets for the control of Anopheles arabiensis and Culex quinquefasciatus. Trop. Med. Int. Health. 2008;13:644–652. doi: 10.1111/j.1365-3156.2008.02058.x. Doi: [DOI] [PubMed] [Google Scholar]
  • 18.Ngufor C, Fongnikin A, Hobbs N, Gbegbo M et al. Indoor spraying with chlorfenapyr (a pyrrole insecticide) provides residual control of pyrethroid-resistant malaria vectors in southern Benin. Malar. J. 2020;19:249. doi: 10.1186/s12936-020-03325-2. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Machange JJ, Mpelepele AB, Tenywa FSC, Pwagu M et al. The Ifakara Ambient Chamber Test (I-ACT) for evaluation of indoor residual sprays: A non-Inferiority test of Sylando® 240SC and SumiShield® 50WG. Insects. 2026;17:304. doi: 10.3390/insects17030304. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.World Health Organization: Prequalification of Medical Products. 2024. https://tinyurl.com/ffxk37y (Accessed 25 July 2026)
  • 21.World Health Organization: Guidelines for testing mosquito adulticides for indoor residual spraying and treatment of mosquito nets. WHO/CDS/NTD/WHOPES/GCDPP/2006.3. 2006. pp. 1–60. https://tinyurl.com/24rbbuwr (Accessed 25 July 2026)
  • 22.WHOPES: Report of the 20th WHOPES Working Group Meeting. World Health Organization. 2016. pp. 1–3. https://tinyurl.com/bdh7us2c (Accessed 25 July 2026)
  • 23.Oxborough RM, N'Guessan R, Jones R, Kitau J et al. The activity of the pyrrole insecticide chlorfenapyr in mosquito bioassay: towards a more rational testing and screening of non-neurotoxic insecticides for malaria vector control. Malar. J. 2015;14:124. doi: 10.1186/s12936-015-0639-x. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Corbel V, Kont MD, Ahumada ML, Andréo L et al. A new WHO bottle bioassay method to assess the susceptibility of mosquito vectors to public health insecticides: results from a WHO-coordinated multi-centre study. Parasit. Vectors. 2023;16:21. doi: 10.1186/s13071-022-05554-7. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bonds J, Parsons G, Walker KJ, Murphy A et al. Comparative analysis of the Potter Tower and a new Track Sprayer for the application of residual sprays in the laboratory. Parasit. Vectors. 2024;17:66. doi: 10.1186/s13071-024-06168-x. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Matowo NS, Martin J, Kulkarni MA, Mosha JF et al. An increasing role of pyrethroid-resistant Anopheles funestus in malaria transmission in the Lake Zone, Tanzania. Sci. Rep. 2021;11:13457. doi: 10.1038/s41598-021-92741-8. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kaindoa EW, Ngowo HS, Limwagu A, Mkandawile G et al. New evidence of mating swarms of the malaria vector, Anopheles arabiensis in Tanzania. Wellcome Open Res. 2017;2:88. doi: 10.12688/wellcomeopenres.12458.1. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.MR4: Methods in Anopheles Research. 2015. https://tinyurl.com/4kxj6txv (Accessed 26 July 2026)
  • 29.Yé Y, Hoshen M, Louis V, Séraphin S et al. Housing conditions and Plasmodium falciparum infection : protective effect of iron-sheet roofed houses. Malar. J. 2006;5:8. doi: 10.1186/1475-2875-5-8. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Duffield GE. Circadian and daily rhythms of disease vector mosquitoes. Curr. Opin. Insect Sci. 2024;63:101179. doi: 10.1016/j.cois.2024.101179. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Rund SSC, Gentile JE, Duffield GE. Extensive circadian and light regulation of the transcriptome in the malaria mosquito. Anopheles gambiae. BMC Genomics. 2013;14:218. doi: 10.1186/1471-2164-14-218. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Stata 18: StataCorp. 2023. Stata Statistical Software: Release 18. College Station, TX: StataCorp LLC. 2023. https://tinyurl.com/28vd3ddm (Accessed 26 July 2026)
  • 33.Mseti JJ, Maasayi MS, Lugenge AG, Mpelepele AB et al. Temperature, mosquito feeding status and mosquito density influence the measured bio-efficacy of insecticide-treated nets in cone assays. Parasit. Vectors. 2024;17:159. doi: 10.1186/s13071-024-06210-y. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Abbott WS. A method of computing the effectiveness of an insecticide. J. Econ. Entomol. 1925;18:265–267. doi: 10.1093/jee/18.2.265a. Doi: [DOI] [Google Scholar]
  • 35.Che-Mendoza A, González-Olvera G, Medina-Barreiro A, Arisqueta-Chablé C et al. Efficacy of targeted indoor residual spraying with the pyrrole insecticide chlorfenapyr against pyrethroid-resistant Aedes aegypti. PLoS Negl. Trop. Dis. 2021;15:e0009822. doi: 10.1371/journal.pntd.0009822. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Kibondo UA, Odufuwa OG, Ngonyani SH, Mpelepele AB et al. Influence of testing modality on bioefficacy for the evaluation of Interceptor® G2 mosquito nets to combat malaria mosquitos in Tanzania. Parasit. Vectors. 2022;15:124. doi: 10.1186/s13071-022-05207-9. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Eshetu T, Eligo N, Massebo F. Cattle feeding tendency of Anopheles mosquitoes and their infection rates in Aradum village, North Wollo, Ethiopia: an implication for animal-based malaria control strategies. Malar. J. 2023;22:81. doi: 10.1186/s12936-023-04516-3. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Finney M, McKenzie BA, Rabaovola B, Sutcliffe A et al. Widespread zoophagy and detection of Plasmodium spp. in Anopheles mosquitoes in southeastern Madagascar. Malar. J. 2021;20:25. doi: 10.1186/s12936-020-03539-4. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Coutinho-abreu I V, Riffell JA, Akbari OS. Human attractive cues and mosquito host-seeking behavior. Trends Parasitol. 2024;38:246–264. doi: 10.1016/j.pt.2021.09.012. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Giraldo D, Rankin-turner S, Corver A, Mburu MM et al. Human scent guides mosquito thermotaxis and host selection under naturalistic conditions. Curr. Biol. 2023;33:1–16. doi: 10.1016/j.cub.2023.04.050. Doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.World Health Organization: WHO guidelines for malaria - 13 August 2025. 2025. https://tinyurl.com/bdfx3aex (Accessed 26 July 2026)
  • 42.Accrombessi M, Cook J, Dangbenon E, Yovogan B et al. Efficacy of pyriproxyfen-pyrethroid long-lasting insecticidal nets (LLINs) and chlorfenapyr-pyrethroid LLINs compared with pyrethroid-only LLINs for malaria control in Benin: a cluster-randomised, superiority trial. Lancet. 2023;401:435-446. doi: 10.1016/s0140-6736(22)02319-4. Doi: [DOI] [PubMed] [Google Scholar]
  • 43.Mosha JF, Matowo NS, Kulkarni MA, Messenger LA et al. Effectiveness of long-lasting insecticidal nets with pyriproxyfen-pyrethroid, chlorfenapyr-pyrethroid, or piperonyl butoxide-pyrethroid versus pyrethroid only against malaria in Tanzania: final-year results of a four-arm, single-blind, cluster-randomised. Lancet Infect. Dis. 2024;24:87–97. doi: 10.1016/s1473-3099(23)00420-6. Doi: [DOI] [PubMed] [Google Scholar]
  • 44.World Health Organization: Global plan for insecticide resistance management. Geneva, World Health Organization. 2012. https://tinyurl.com/2tw7mwxy (Accessed 26 July 2026)

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