Skip to main content

This is a preprint.

It has not yet been peer reviewed by a journal.

The National Library of Medicine is running a pilot to include preprints that result from research funded by NIH in PMC and PubMed.

Research Square logoLink to Research Square
[Preprint]. 2026 Sep 8:rs.3.rs-10820457. [Version 1] doi: 10.21203/rs.3.rs-10820457/v1

A comparison of indoor and outdoor malaria vectors in a longitudinal cohort study in Webuye, Western Kenya

Lucy Abel 1, Samuel Kahindi 2, Daniel Onguru 3, Shehu Awandu 4, Mark Amunga 5, Millicent Cherono 6, Linda Maraga 7, Dancan M Wakoli 8, Evans Omollo 9, Erick Nalianya 10, Aggrey Wekesa 11, Christine Markwalter 12, Steve M Taylor 13, Judith Mangeni 14, Andrew Obala 15, Wendy Prudhomme O’Meara 16
PMCID: PMC13622812  PMID: 42818967

Abstract

Background

Malaria remains a major public health challenge in Kenya, with ~ 75% of the population is at risk. Despite the decline in malaria prevalence in children associated with sustained coverage of Insecticide Treated Nets in Kenya, this gain has not been uniform and there is a great deal of heterogeneity in transmission including areas with much higher transmission than the national average. This calls for a closer look at vector control to understand where it is failing. The main malaria vectors in Webuye are Anopheles gambiae s.s, An. arabiensis and An. funestus which are all known to be anthropophagic and endophagic. However, An. arabiensis has in recent times been reported to shift towards exophagic and zoophillic behavior which has been implicated in maintaining residual transmission. Despite scale-up of LLINs with PBO in the region, malaria burden remains high. Among the factors potentially sustaining transmission may be increased exophilic and exophagic vectors, thus reducing the efficacy of LLINs. We compared indoor and outdoor malaria vector diversity, P. falciparum infection, and measured the blood meal sources for the outdoor vectors.

Methods

For 12 months, collection of adult Anopheles mosquitoes by aspiration was done weekly in buildings with human sleeping spaces (indoor), non-human dwellings and suspected mosquito resting areas (outdoor). Mosquitoes were identified morphologically and laboratory analysis was conducted by PCR.

Results

Out of the 46,502 female mosquitoes collected,1,878 (4%) were anophelines. A total of 1,641 (87%) of the anophelines were collected indoors and 237 (13%) outdoors. The highest proportion of mosquitoes were collected between April and June. Ten different Anopheles species were identified indoors while six were identified outdoors. Anopheles gambiae ss was the most abundant vector both indoors and outdoors. A high proportion of the outdoor female Anopheles had bloodmeals from animals, only 3% fed on humans and all were negative for Plasmodium sporozoites. The sporozoite rate for indoor collection was 4.8%.

Conclusion

There was no evidence that outdoor resting mosquitoes are contributing to malaria transmission. However, the presence of several other species besides the traditional vectors poses a threat of cryptic species sustaining transmission and the ability to feed on animals implicated in sustaining vector population.

Keywords: Indoor, outdoor, Anopheles

Introduction

Malaria remains a major a public health burden in sub-Saharan Africa. Despite the decline in malaria prevalence in children that is associated with sustained coverage of Insecticide Treated Nets in Kenya [1], it is observed that this gain has not been uniform and there is a great deal of heterogeneity in transmission including areas with much higher transmission than the national average even though ITN coverage resembles the national average. This calls for a closer look at vector control and prevention to understand where vector control is falling short.

The two main malaria vector control interventions in use in Kenya are the indoor residual spraying of insecticides (IRS) and the universal mass distribution of long-lasting insecticidal nets (LLINs). These two types of vector control measures exploit the malaria vector behaviour of biting humans indoors and late when people are deep asleep and rest indoors afterwards. However, the effectiveness of these two interventions can be greatly compromised by factors such as changes in vector biting behaviour [2, 3] and increased tolerance towards the insecticides used in the interventions by the vectors[4-7] .

Anopheles mosquitoes, which are known vectors for malaria, primarily feed on the blood of vertebrates [8]. Many Anopheles mosquitoes are highly anthropophilic, especially in areas where malaria is endemic [9]. They can also feed on the blood of various mammals, including cattle, sheep, goats, dogs, and cats, although the extent of non-human feeding varies by mosquito species. Some species of Anopheles may also take blood meals from birds, although this is less common compared to mammals[10]. The feeding behavior of Anopheles mosquitoes on animals besides humans has several implications for public health and vector control strategies. If Anopheles mosquitoes have alternative blood sources, it may reduce the effectiveness of vector control measures that target human-vector contact [11]. Furthermore, mosquitoes that can feed on animals may continue to thrive even in areas where human populations are protected [12].

Feeding behaviors such as choice of host, timing or location of foraging, are partly driven by the availability of hosts which varies based on environmental factors such as habitat, season, and the presence of humans or livestock [13, 14] as well as host availability due to the use of ITNs. Changes in these factors, including availability of hosts, may lead to behavioral adaptations, such as changes in feeding times or locations, which can make them harder to control [15]. Understanding the feeding behavior of Anopheles mosquitoes is crucial to informing public health strategies [16]. The ever changing vector feeding and resting behavior calls for an integrated approach to reduce malaria transmission [17] .

The main malaria vectors in western Kenya are Anopheles gambiae ss, An. arabiensis and An. funestus ss[18]. All the three vector species are primarily known to be anthropophagic and endophagic, however An. arabiensis has in recent times been reported to shift towards exophagy and preferring mammalian hosts other than humans [19]. This behaviour of biting and resting outdoors together with sourcing blood meals from diverse hosts has been implicated in maintaining residual malaria transmission [20].

The major vector control intervention in Bungoma County is LLINs which only targets indoor feeding and resting malaria vectors. Despite scale up and sustained coverage with LLINs through universal mass distributions, malaria transmission is still moderate and perennial with two seasonal peaks after long rains (May-June) and short rains (Sept-October) [21]. It is possible that persistent transmission is at least partially attributable to changes in vector behaviour such as host diversification, timing of biting, and possibly resting outdoors. Thus, this study aims to describe the biting behavior and sources of blood meal for the primary malaria vectors in Webuye, Bungoma County, and provide crucial insights on whether the current vector control measures (ITNs and IRS) continues to offer protection against malaria and further underpin where gaps in protection exist. To do so, we compare species composition, feeding success, bloodmeal source and sporozoite infection between indoor and outdoor collected mosquitoes from the same households over a one-year period. We hypothesized that the primary malaria vectors in Webuye could be shifting their bloodmeal seeking behavior towards hosts other than humans and also biting and resting outdoors thus contributing to residual malaria transmission.

Materials and Methods

Study Site

This study was conducted in four villages spread across Webuye East and Webuye West Sub Counties in Bungoma County, western Kenya, which is approximately 400 kilometres Northwest of Nairobi and 60 kilometres from Uganda border. The villages are rural and most families engage in small scale farming and livestock keeping. Sixty percent of families live below the poverty line and few have electricity or municipal water. Plasmodium falciparum transmission is perennial with seasonal peaks following the long rains in May-June and short rains in September-October. Ninety percent of homes in the study area have at least one insecticide-treated net, yet prevalence of P. falciparum in children less than 10 years of age exceeds 50% during the rainy season [21].

Study Design

This study was conducted within an ongoing study in an existing longitudinal cohort design which was established in 2017 in Webuye, Bungoma County [21]. It builds on an ongoing work in the same cohort. This cohort was assembled in four villages using radial sampling of 20 households per village in three villages and 15 households in the fourth village beginning with a randomly selected household in each village. The four villages are spread across two sub-counties, Webuye East and West with a total of 75 enrolled households in all the villages. The existing cohort has households enrolled in clusters of about 0.25 kilometers radius [18]. The household population ranges from five to ten individuals per households and the total population for all the households is approximately 500 people.

Field Data Collection

Mosquito collection was conducted weekly between February 2024 to January 2025 by use of prokopack aspiration. This is a highly maneuverable vacuum aspirator attached to an extension pole that can sample from the ground level up to 13 feet (4m) which enables mosquito collection to be made on upper walls, ceiling and under the furniture. The prokopack uses a 12 volt 12 amp hr gelled-electrolyte battery with plastic collection cups made with stainless steel mosquito mesh at the bottom [22]. This mosquito collection was selected due to its cost effectiveness, convenience and the ability to collect both indoor and outdoor resting mosquitoes. The collection was done early morning between 6.00 to 8.30am. The participants were asked to leave the doors and windows closed until the team arrived. Collections of resting adult Anopheles mosquitoes was made from both indoor and outdoor mosquito resting areas. One collection cup was used per building and one for outdoor collections and labelled by collection date and point. The indoor mosquito resting areas includes the walls, ceiling and underneath the furniture in the household including the sleeping spaces while the outdoor mosquito resting areas include pit latrines, animal shelters, outside kitchens and other buildings or structures within the compound that are not used as human sleeping spaces [22-24].

Laboratory processing of mosquito samples

The mosquito samples were transported to the laboratory in a cool box with an ice pack for sorting and grading of the abdominal status. Anopheles mosquitoes were identified to species using morphological features [25] .

DNA Extraction

Wings of the indoor resting mosquitoes and the abdomens of the outdoor resting mosquitoes were extracted by Hotshot DNA extraction method as described by Truett [26]. Briefly, the samples were individually placed into wells of a 96-well plate. Fifty microliters of alkaline lysis buffer were added to each well containing the mosquito sample, and the plate was incubated at 95°C for 30 minutes. An equal volume of neutralizing solution (Tris HCl pH 5.0) was added, and plates were subsequently stored at −20°C.

The thoraces of the mosquitoes were extracted using the Chelex extraction method [27]. Briefly the mosquito thoraces were homogenized and 75μL of nuclease-free water and 25μL of 20% Chelex was added to each tube with the sample. The mosquito pellets were re-suspended in the chelex solution with gentle vortexing and spin down for 2 seconds then the tubes incubated in 99°C water bath for 12 minutes with vortexing at 3 minutes interval. After incubation the tubes were cooled for 3 minutes and spun at 12,000xg for 3min. The supernatant containing sporozoite DNA from each tune were transferred into a new microcentrifuge tube leaving the pellets and the chelex beads undisturbed and this was tested with PCR.

Species identification by PCR

Morphologically indistinguishable members of Anopheles gambiae complex were identified further by Polymerase Chain Reaction (PCR) to distinguish An. gambiae s.s, and An.arabiensis. Multiplex PCR was run on 5 μl of hotshot extracted indoor wings and outdoor abdomens following the method of Wilkins et al [28] Reactions were run on a 1% agarose gel at 100V for 40mins. DNA fragments were visualized under UV light using SYBR safe stain added to the agarose gel. The An. gambie sl that did not amplify as either An. gambiae ss or An. arabiensis maintained their species identification as An. gambiae sl.

Host blood meal analysis

Identification of the host blood meal for outdoor door resting Anopheles species was done using conventional PCR on the extracted abdomens. All the anopheles mosquitoes collected outdoors regardless of their visible abdominal status were tested for the presence of human or animal bloodmeal [29]. The PCR amplifies the 12S ribosomal RNA gene with a product size of 205bp for any vertebrate DNA. Another product of 154bp for human blood meal is also amplified if human genomic DNA is present. The PCR product was then run on a 2% agarose gel.

Plasmodium falciparum detection

To measure the sporozoite rate of outdoor resting Anopheles mosquitoes and compare the sporozoite rate of indoor resting Anopheles mosquitoes, the thoraces of Anopheles mosquitoes collected both indoor and outdoor were tested for the presence of P. falciparum genomic DNA using Realtime quantitative PCR (RT-qPCR). The RT-qPCR assay that was used targets a multi-copy motif in the P. falciparum genome called pfr364 [30] which can detect parasites down to as low as 1 x 10 − 6 ng/uL of parasite genomic DNA.

Data analysis

Data were entered into Redcap and laboratory results were compiled in an excel spreadsheet and both were merged for data analysis. The descriptive statistics were supplemented with Fisher’s Exact tests to compare sporozoite and bloodmeal source across Female Anopheles species. The human blood index (HBI) was calculated as the total number of mosquito fed on human/ total number of female Anopheles mosquitoes tested regardless of their abdominal status. Sporozoite rate was calculated as (number of positive mosquitoes /numbers of analyzed mosquitoes)*100. Data analysis and visualization was done on RStudio Version 2025.09.1 + 401 based on RV4.5.1

Results

General mosquito Indoor and Outdoor distribution

Mosquito collection was conducted weekly per household between February 2024 to January 2025 in 75 households for a total of 36 nights of collection per household. Overall, 46502 female mosquitoes were collected both indoors (n = 38713, 83%) and outdoors (n = 7789, 17%). Out of these only 1878 (4%) were anophelines and 44624 (96%) were culicines. About 1641 (87%) of the female anophelines were collected indoors while 237 (13%) were collected outdoors. There is sufficient evidence to conclude that the distribution of mosquitoes between indoor and outdoor collection sites differs by genus. Specifically, Anopheles mosquitoes were proportionally more likely to be collected indoors than Culex mosquitoes (Table 1).

Table 1.

Mosquito distribution per Genus and collection site

Mosquito Genus Collection site Total
Indoor Outdoor
Anopheles 1641 (87.4%) 237 (12.6%) 1878 (4%)
Culex 37072 (83.1%) 7552 (16.9%) 44624 (96%)
Total 38713 (83.2%) 7789 (16.8%) 46502 (100%)
Chi-square test    χ2 = 23.89 df = 1 p < 0.05

A total of 10 different Anopheles species were recorded indoors while 6 were recorded outdoors. Anopheles gambiae ss was the most abundant species found indoors (n = 915, 55%) followed by An. funestus (n = 529, 32%), An. gambiae sl (n = 71, 4%), An. arabiensis (n = 50, 3%) and An. demeilloni (n = 47, 2.8%) (Fig. 1a). An. gambiae ss was also the most abundant species collected outdoors (n = 84, 36%), followed by An. gambiae sl (n = 67, 28%) An. funestus (n = 52, 22%), An. demeilloni (n = 17, 7%) An. arabiensis (n = 10,4%) and An. rufipes (n = 7, 3%) (Fig. 1b). Overall, there was greater diversity of species in the indoor collections but the proportion of different species was more evenly distributed in outdoor collections.

Figure 1.

Figure 1.

(A) Distribution of Indoor Female Anopheles species Key: Others= An. coustani 3, An. garnhani 1, An. pretoriensis 1 and undetermined 2. (B) Distribution of Outdoor Female Anopheles species

Overall, Maruti village had the highest number of female Anopheles mosquitoes collected from both indoors and outdoors while Sitabicha village had the lowest. There were geographic heterogeneities in species distribution. Among indoor mosquitoes, Anopheles funestus was more prevalent in Maruti and Kinesamo and roughly equal to An. gambaie s.s. while An. gambiae s.s. dominated in Nangili and Sitabicha. A similar pattern was seen in outdoor collections, except that the proportion of An. gambiae s.l. (identified morphologically) that could not be resolved to either An. gambiae s.s. or An. arabiensis by PCR was much larger in outdoor collections across all villages. (Fig. 2a and 2b)

Figure 2.

Figure 2.

(A) Distribution of Indoor Female Anopheles species per village (B) Distribution of Outdoor Female Anopheles species per village

Monthly trends of indoor and outdoor female Anopheles mosquitoes

The highest proportion of mosquitoes were collected in the period between April and June for both indoor and outdoor collections (Fig. 3a and 3b) after which there was a steady decline for the remaining months. The various species of female anophelines were fairly distributed across all the collection months. However, during the peak period, An. gambiae complex comprised the highest proportion for indoor collections followed by An. funestus.

Figure 3.

Figure 3.

(A) Trend of monthly indoor female Anopheles mosquitoes (B) Trend of monthly outdoor female Anopheles mosquitoes

Source of blood meal in female Anopheles mosquitoes

Blood meal analysis was completed for 234 out of the 238 female Anopheles mosquitoes that were collected outdoors to determine whether outdoor resting mosquitoes were feeding on human or non-human sources. A total of 7 mosquitoes had blood meal from humans while 138 mosquitoes had fed on other mammals (Table 2). With regard to species, only An. funestus and An. gambiae ss had human blood meals at ratios of 5.9% and 4.8% respectively. Anopheles arabiensis had the highest ratio of blood meal from other mammals followed by An. gambiae ss. An. gambaie s.l. had the highest proportion unfed.

Table 2.

Distribution of Blood meals sources in the Outdoor Anopheles species

Species Human positive Blood
meal
negative
Other
mammals
Undetermined Total
An. arabiensis 0 (0.0%) 1 (10%) 9 (90.0%) 0 (0.0%) 10
An. demeilloni 0 (0.0%) 7 (41.2%) 10 (58.8%) 0 (0.0%) 17
An. funestus 3 (5.9%) 22 (43.1%) 26 (51.0%) 0 (0.0%) 51
An. gambiae sl 0 (0.0%) 37 (56.9%) 27 (41.5%) 1 (1.5%) 65
An. gambiae ss 4 (4.8%) 18 (21.4%) 62 (73.8%) 0 (0.0%) 84
An. rufipes 0 (0.0%) 3 (42.9%) 4 (57.1%) 0 (0.0%) 7
Total 7 88 138 1 234

The human blood index (HBI) was 0.03. There was a statistically significant association between female Anopheles species and their source of blood meal (Fisher’s Exact Test, p = 0.0001) (Fig. 4) while the association between the blood meal source across the villages was not statistically significant (Fisher’s Exact Test, p = 0.0699) (Fig. 5).

Figure 4.

Figure 4.

Blood meal sources for outdoor female Anopheles species

Figure 5.

Figure 5.

Blood meal sources by Village

Sporozoite rates for in Indoor and Outdoor Anopheles mosquitoes

A total of 1846 female Anopheles mosquitoes were tested for P. falciparum genomic DNA (1612 indoor and 234 outdoor) with 4.2% turning positive. P. falciparum genomic DNA was detected in 4.8% of the female Anopheles species collected indoors (Table 3) and none in all the outdoor collected female Anopheles mosquitoes. Anopheles gambiae sl had the highest Plasmodium infection rate at 7% followed by An. gambiae s.s (5%), An. funestus (4.8%) and An. demeilloni (4.5%) (Table 3).

Table 3.

Distribution of Plasmodium sporozoites in the Indoor Anopheles species

Species Sporozoite −ve Sporozoite +ve Total
An. coustani 3 (100%) 0 (0%) 3
An. demeilloni 42 (95.5%) 2 (4.5%) 44
An. funestus 492 (95.2%) 25 (4.8%) 517
An. gambiae sl 66 (93%) 5 (7%) 71
An. rufipes 11 (100%) 0 (0.0%) 11
An.arabiensis 47 (100%) 0 (0.0%) 47
An.fuscivenosus 10 (100%) 0 (0.0%) 10
An.gambiae ss 860 (95%) 45 (5%) 905
An.garnhani 1 (100%) 0 (0.0%) 1
An.pretoriensis 1 (100%) 0 (0.0%) 1
Undetermined 1 (50%) 1 (50%) 2
Total 1534 78 1612

Nangili village recorded the highest Plasmodium sporozoites rates in Anopheles mosquitoes at 6% and followed closely by Maruti and Kinesamo villages at 5.1% and 4.7% respectively. Sitabicha had the lowest sporozoite rate at 1.2%. The association between the Anopheles species and the P. falciparum infection rate was not statistically significant (Fisher’s Exact Test, p = 0.102) (Fig. 6).

Figure 6.

Figure 6.

Distribution of Plasmodium sporozoites in the Indoor Anopheles species

Discussion

Outdoor malaria transmission is hypothesized to be a significant threat to malaria control especially where mosquitoes bite people outdoors while the interventions used are indoor based. Furthermore, it has been suggested that the pressure exerted by chemical based interventions has contributed to pushing Anopheles mosquitoes that were mainly endophilic to shift towards resting outdoors. Mosquitoes likely select resting sites with suitable microclimatic conditions in order to minimize physiological stress during the resting phase [31].

Anopheles gambiae complex remains the dominant vector species collected, and this is consistent with other studies done in western Kenya [32, 33]. Fewer mosquitoes were found in outdoor non-dwelling structures compared to indoors. Overall, the diversity of these two populations was similar although the distribution of species was different. Some vectors that are typically thought of as dedicated endophilic were collected from outdoor resting places, such as An.gambiae ss and An. funestus. A larger proportion of An. funestus were found in the indoor collection, while a substantial proportion of the outdoor collection were An gambiae complex that were not identified to An gambiae ss, An. arabiensis or An. colluzzi by PCR. A study on outdoor malaria vector species in dryland ecosystems of Kenya similarly reported the presence of cryptic species [34]. The presence of several other species besides the common vectors, although negative for sporozoites, pose a threat of secondary vectors sustaining transmission [35]. Unlike the secondary vector species identified here, the unidentified An gambiae complex members had higher infection rates than any other group and raise the possibility of transmission being fueled by cryptic or uncharacterized vector species. Overall, this suggest that outdoor resting mosquitoes are not simply a subset of the indoor resting population that have modified their behavior, nor are they an entirely different set of species, but potentially some combination of the two.

A substantial proportion of the outdoor mosquitoes had fed, with feeding rates among An gambiae ss as high as the indoor population [21]. Surprisingly, nearly three quarters had fed on non-human blood sources compared to 69% fed on human sources from indoor collections [36]. Non-human bloodmeals have been detected in An. gambaie s.s. previously and this is a strong signal of behavior adaptation possibly due to the high coverage with LLINs[37]. Although most outdoor mosquitoes had animal bloodmeals, meaning they likely fed outside, a few human bloodmeals were found in vectors known to be highly anthropophilic. It is not known if they fed outdoors or fed indoors then exited to rest. Either of these represents a behavioral adaptation although each would require different mitigation strategies.

Although the vectors tested in this study had moderately high P. falciparum infection rates, no outdoor mosquitoes had sporozoites and this has also been reported in other studies [38], so they cannot be definitively implicated in malaria transmission. Other studies have similarly documented low to no P.falciparum infection in outdoor collected mosquitoes [39]. However, given the human bloodmeals identified in outdoor resting mosquitoes, it is plausible that they could contribute to transmission and a larger study would be needed to definitively answer this question. In addition, outdoor resting mosquitoes have been reported to show some levels of pyrethroid resistance [40] which could compound the challenge to malaria interventions.

Limitations

Since this study was nested in a larger study, we were unable to test the bloodmeal sources of the indoor collected which were already used for a separate investigation. In addition, we were not able to expand our molecular testing to include other sibling species of An.gambiae sl besides the most common An.arabiensis, An.gambiae ss, and An. coluzzi (of which there were none) therefore the mosquitoes that did not amplify for these species remained grouped as An.gambiae sl although they almost certainly do not represent a single homogenous group.

Conclusion

The study demonstrated high species diversity of malaria vectors in Webuye, Kenya resting both indoors and outdoors, with the main malaria vectors species being An. gambiae s.s. An. arabiensis and An. funestus. Traditionally, An. gambiae s.s and An. funestus are known to be endophagic and endophilic, however in this study they have shown a capacity to feed or rest outdoors. Furthermore, some of the vectors caught outdoors had human blood meals and although none was sporozoite positive, this raises the potential of outdoor malaria transmission which is out of target of the current vector interventions; the LLINs and IRS. Better understanding of where people are being bitten is needed in order to design effective interventions that could reduce outdoor transmission.

Acknowledgement

This study could have not been successful without the consents from the participants to collect mosquitoes in their households, We are also very grateful to the field team; Ibrahim Khaoya, Lucas Marango, Wyclife Situma, Lilian Nukewa, Ezna Mukeli, Edith Wamalwa for their tireless effort during mosquito collection.

Funding:

This study was partially supported from the National Institute of Allergy and Infectious Diseases of the National Institutes of Health (US) (grant number 5R01AI179141-04). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of this manuscript. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Allergy and Infectious Diseases or the National Institutes of Health.

List of abbreviations

An

Anopheles

DDT

Dichlorodiphenyltrichloroethane

DNA

Deoxyribonucleic acid

HBI

Human Blood Index

IRB

Institutional Review Board

IREC

Institutional Review and Ethics Committee

IRS

Indoor Residual Spraying

ITNs

Insecticide Treated Nets

LSM

Larval Source Management

LLINs

Long Lasting Insecticidal Nets

NACOSTI

National Commission for Science, Technology & Innovation

MoH

Ministry of Health

P. falciparum

Plasmodium falciparum

PCR

Polymerase Chain Reaction

PEARL

Partnership for Education and Research Laboratory

RNA

Ribonucleic acid

WHO

World Health Organization

Footnotes

Competing interest:

The authors declare that they have no competing interests.

Ethical consideration

No human data was collected in this study, all the participating households heads have been consented in the ongoing longitudinal cohort study and the explanation of the study procedures has already been conducted by the field staff. This study is nested in an ongoing study, for which institutional Review Board (IRB) approval has already been acquired from Duke University IRB (Pro00113485) and Moi University Institutional Review and Ethics Committee (IREC/572/2023 and approval Number 0004555). The study has also been approved by National Commission for Science, Technology & Innovation (NACOSTI), License number NACOSTI/P/25/4175503.

Contributor Information

Lucy Abel, Academic Model Providing Access to Health Care (AMPATH), Kenya.

Samuel Kahindi, Pwani University.

Daniel Onguru, Jaramogi Oginga Odinga University of Science and Technology.

Shehu Awandu, Jaramogi Oginga Odinga University of Science and Technology.

Mark Amunga, Academic Model Providing Access to Health Care (AMPATH), Kenya.

Millicent Cherono, Academic Model Providing Access to Health Care (AMPATH), Kenya.

Linda Maraga, Academic Model Providing Access to Health Care (AMPATH), Kenya.

Dancan M. Wakoli, Academic Model Providing Access to Health Care (AMPATH), Kenya.

Evans Omollo, Duke Global Inc.

Erick Nalianya, Duke Global Inc.

Aggrey Wekesa, Duke Global Inc.

Christine Markwalter, Duke University NC.

Steve M. Taylor, Duke University NC.

Judith Mangeni, Moi University College of Health Sciences.

Andrew Obala, Moi University College of Health Science.

Wendy Prudhomme O’Meara, Duke University NC.

Data availability:

The datasets used and/or analyzed during the current study are freely available upon request.

References

  • 1.Nyawanda BO, Khagayi S, Ochomo E, Bigogo G, Kariuki S, Munga S, et al. The influence of malaria control interventions and climate variability on changes in the geographical distribution of parasite prevalence in Kenya between 2015 and 2020. Int J Health Geogr. 2024;23(1):22. 10.1186/s12942-024-00381-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Cooke MK, Kahindi SC, Oriango RM, Owaga C, Ayoma E, Mabuka D, et al. A bite before bed’: exposure to malaria vectors outside the times of net use in the highlands of western Kenya. Malar J. 2015;14(1):259. 10.1186/s12936-015-0766-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Sougoufara S, Diédhiou SM, Doucouré S, Diagne N, Sembène PM, Harry M, et al. Biting by Anopheles funestus in broad daylight after use of long-lasting insecticidal nets: a new challenge to malaria elimination. Malar J. 2014;13(1):125. 10.1186/1475-2875-13-125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Chandre F, Darriet F, Manguin S, Brengues C, Carnevale P, Guillet P. Pyrethroid cross resistance spectrum among populations of Anopheles gambiae s.s. from Côte d’Ivoire. J Am Mosq Control Assoc. 1999;15(1):53–9. [PubMed] [Google Scholar]
  • 5.Corbel V, Hougard JM, Guessan RN, Chandre F. Evidence for Selection of Insecticide Resistance Due to Insensitive Acetylcholinesterase by Carbamate-Treated Nets in Anopheles gambiae s.s. (Diptera: Culicidae) from Côte d’Ivoire. J Med Entomol. 2003;40(6):985–8. 10.1603/0022-2585-40.6.985. [DOI] [PubMed] [Google Scholar]
  • 6.Pates H, Curtis C. Mosquito behavior and vector control. Annu Rev Entomol. 2005;50:53–70. 10.1146/annurev.ento.50.071803..130439 [DOI] [PubMed] [Google Scholar]
  • 7.N’Guessan R, Darriet F, Guillet P, Carnevale P, Traore-Lamizana M, Corbel V, et al. Resistance to carbosulfan in Anopheles gambiae from Ivory Coast, based on reduced sensitivity of acetylcholinesterase. Med Vet Entomol. 2003;17(1):19–25. 10.1046/j.1365-2915.2003.00406..x [DOI] [PubMed] [Google Scholar]
  • 8.Ashine T, Kochora A, Shibru H, Bekele A, Assefa M, Gidisa B, et al. Plasticity of blood feeding behavior of Anopheles mosquitoes in Ethiopia: a systematic review. Parasit Vectors. 2024;17(1):408. 10.1186/s13071-024-06493-1 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Piedrahita S, Álvarez N, Naranjo-Díaz N, Bickersmith S, Conn JE, Correa MM. Anopheles blood meal sources and entomological indicators related to Plasmodium transmission in malaria endemic areas of Colombia. Acta Trop. 2022;233:106567. 10.1016/j.actatropica.2022.106567 . [DOI] [PubMed] [Google Scholar]
  • 10.dos Santos Silva J, Alencar J, Costa JM, Seixas-Lorosa E, Guimarães AÉ. Feeding patterns of mosquitoes (Diptera: Culicidae) in six Brazilian environmental preservation areas. J Vector Ecol J Soc Vector Ecol. 2012;37(2):342–50. 10.1111/j.1948-7134.2012.00237.x [DOI] [PubMed] [Google Scholar]
  • 11.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(1):81. 10.1186/s12936-023-04516-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Tirados I, Costantini C, Gibson G, Torr SJ. Blood-feeding behaviour of the malarial mosquito Anopheles arabiensis: implications for vector control. Med Vet Entomol. 2006;20(4):425–37. 10.1111/j.1365-2915.2006.652.x. [DOI] [PubMed] [Google Scholar]
  • 13.Katusi GC, Hermy MRG, Makayula SM, Ignell R, Mnyone LL, Hill SR, et al. Effect of non-human hosts on the human biting rate of primary and secondary malaria vectors in Tanzania. Malar J. 2023;22(1):340. 10.1186/s12936-023-04778-x . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Chaves LF, Harrington LC, Keogh CL, Nguyen AM, Kitron UD. Blood feeding patterns of mosquitoes: random or structured? Front Zool. 2010;7(1):3. 10.1186/1742-9994-7-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Sougoufara S, Doucouré S, Sembéne PM, Harry M, Sokhna C. Challenges for malaria vector control in sub-Saharan Africa: Resistance and behavioral adaptations in: Anopheles: populations. J Vector Borne Dis [Internet]. 2017. Mar [cited 2026 Feb 21];54(1):4. Available from: https://journals.lww.com/jvbd/fulltext/2017/54010/Challenges_for_malaria_vector_control_in.2.aspx [PubMed] [Google Scholar]
  • 16.Bouafou L, Makanga BK, Rahola N, Boddé M, Ngangué MF, Daron J, et al. Host preference patterns in domestic and wild settings: Insights into Anopheles feeding behavior. Evol Appl. 2024;17(6):e13693. 10.1111/eva.13693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Dambach P. New approaches for integrated and cost-effective malaria vector control. J Rare Dis Res Treat. 2018;3(1):6–10. 10.29245/2572-9411/2018/1.1144. [DOI] [Google Scholar]
  • 18.E LA E O K. Relationship between malaria vector survival, infectivity and insecticide treated net use in western Kenya. Res Sq. 2024. Mar;18. 10.21203/rs.3.rs-4090984/v1 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Mahande A, Mosha F, Mahande J, Kweka E. Feeding and resting behaviour of malaria vector, Anopheles arabiensis with reference to zooprophylaxis. Malar J. 2007;6:100. 10.1186/1475-2875-6-100 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Sy O, Sarr PC, Assogba BS, Nourdine MA, Ndiaye A, Konaté L, et al. Residual malaria transmission and the role of Anopheles arabiensis and Anopheles melas in central Senegal. J Med Entomol. 2023;60(3):546–53. 10.1093/jme/tjad020 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.O’Meara WP, Simmons R, Bullins P, Freedman B, Abel L, Mangeni J, et al. Mosquito Exposure and Malaria Morbidity: A Microlevel Analysis of Household Mosquito Populations and Malaria in a Population-Based Longitudinal Cohort in Western Kenya. J Infect Dis. 2020;221(7):1176–84. 10.1093/infdis/jiz561 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Maia MF, Robinson A, John A, Mgando J, Simfukwe E, Moore SJ. Comparison of the CDC Backpack aspirator and the Prokopack aspirator for sampling indoor- and outdoor-resting mosquitoes in southern Tanzania. Parasit Vectors. 2011;4:124. 10.1186/1756-3305-4-124 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Owuor KO, Machani MG, Mukabana WR, Munga SO, Yan G, Ochomo E, et al. Insecticide resistance status of indoor and outdoor resting malaria vectors in a highland and lowland site in Western Kenya. PLoS ONE. 2021;16(3):e0240771. 10.1371/journal.pone.0240771 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Forson AO, Hinne IA, Dhikrullahi SB, Sraku IK, Mohammed AR, Attah SK, et al. The resting behavior of malaria vectors in different ecological zones of Ghana and its implications for vector control. Parasit Vectors. 2022;15:246. 10.1186/s13071-022-05355-.y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Coetzee M. Key to the females of Afrotropical Anopheles mosquitoes (Diptera: Culicidae). Malar J. 2020;19(1):70. 10.1186/s12936-020-3144-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Truett GE, Heeger P, Mynatt RL, Truett AA, Walker JA, Warman ML. Preparation of PCR-quality mouse genomic DNA with hot sodium hydroxide and tris (HotSHOT). Biotechniques. 2000;29(1):52. 10.2144/00291bm09 . [DOI] [PubMed] [Google Scholar]
  • 27.Musapa M, Kumwenda T, Mkulama M, Chishimba S, Norris DE, Thuma PE et al. A Simple Chelex Protocol for DNA Extraction from Anopheles spp. J Vis Exp JoVE. 2013;(71):3281. doi: 10.3791/3281 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Wilkins EE, Howell PI, Benedict MQ. IMP PCR primers detect single nucleotide polymorphisms for Anopheles gambiae species identification, Mopti and Savanna rDNA types, and resistance to dieldrin in Anopheles arabiensis. Malar J. 2006;5(1):125. 10.1186/1475-2875-5-125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Hoffman JE, Ciubotariu II, Simubali L, Mudenda T, Moss WJ, Carpi G, et al. Phylogenetic Complexity of Morphologically Identified Anopheles squamosus in Southern Zambia. Insects. 2021;12(2):146. 10.3390/insects12020146 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Taylor SM, Sumner KM, Freedman B, Mangeni JN, Obala AA, Prudhomme O’Meara W. Direct Estimation of Sensitivity of Plasmodium falciparum Rapid Diagnostic Test for Active Case Detection in a High-Transmission Community Setting. Am J Trop Med Hyg. 2019;101(6):1416–23. 10.4269/ajtmh.19-0558 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Sauer FG, Grave J, Lühken R, Kiel E. Habitat and microclimate affect the resting site selection of mosquitoes. Med Vet Entomol. 2021;35(3):379–88. 10.1111/mve.12506 . [DOI] [PubMed] [Google Scholar]
  • 32.Odiere M, Bayoh MN, Gimnig J, Vulule J, Irungu L, Walker E. Sampling Outdoor, Resting Anopheles gambiae and Other Mosquitoes (Diptera: Culicidae) in Western Kenya with Clay Pots. J Med Entomol. 2007;44(1):14–22. 10.1603/0022-2585(2007)44[14:soraga]2.0.co;2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Degefa T, Yewhalaw D, Zhou G, Lee MC, Atieli H, Githeko AK, et al. Indoor and outdoor malaria vector surveillance in western Kenya: implications for better understanding of residual transmission. Malar J. 2017;16(1):443. 10.1186/s12936-017-2098-z . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Kinya F, Mutero CM, Sang R, Owino EA, Rotich G, Ogola EO, et al. Outdoor malaria vector species profile in dryland ecosystems of Kenya. Sci Rep. 2022;12(1):7131. 10.1038/s41598-022-11333-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Laurent S, Brandy. Mosquito vector diversity and malaria transmission. Front Malar. 2025;3. 10.3389/fmala.2025.1600850. [DOI] [Google Scholar]
  • 36.Markwalter CF, Lapp Z, Abel L, Kimachas E, Omollo E, Freedman E, et al. Plasmodium falciparum infection in humans and mosquitoes influence natural Anopheline biting behavior and transmission. Nat Commun. 2024;15(1):4626. 10.1038/s41467-024-49080-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Ndenga BA, Mulaya NL, Musaki SK, Shiroko JN, Dongus S, Fillinger U. Malaria vectors and their blood-meal sources in an area of high bed net ownership in the western Kenya highlands. Malar J. 2016;15:76. 10.1186/s12936-016-1115-.y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Arega A, Animut A, Massebo F. Blood feeding patterns of malaria mosquitoes collected using pit shelters and clay pots in the West Gojjam zone of Ethiopia. Malar J. 2025;24(1):169. 10.1186/s12936-025-05408-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Tomas T, Eligo N, Tamiru G, Massebo F. Outdoor and early hour human biting activities of malaria mosquitoes and the suitability of clay pot for outdoor resting mosquito collection in malaria endemic villages of southern Rift Valley, Ethiopia. Parasite Epidemiol Control. 2022;19:e00278. e00278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Musiba RM, Tarimo BB, Monroe A, Msaky D, Ngowo H, Mihayo K, et al. Outdoor biting and pyrethroid resistance as potential drivers of persistent malaria transmission in Zanzibar. Malar J. 2022;21(1):172. 10.1186/s12936-022-04200-y . [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analyzed during the current study are freely available upon request.


Articles from Research Square are provided here courtesy of American Journal Experts

RESOURCES