Skip to main content
Saudi Journal of Biological Sciences logoLink to Saudi Journal of Biological Sciences
. 2021 May 25;28(9):5221–5228. doi: 10.1016/j.sjbs.2021.05.042

Efficacy of a simply resting box baited with crude fruit and leaf ethanol extracts of Phytolaccadodecandra (L’ Herit) in capturing and killing of indoor mosquitoes (Diptera: Culicidae) at Korando, Western Kenya

Yugi Jared Owiti 1
PMCID: PMC8380997  PMID: 34466100

Abstract

Effective capture and elimination of indoor resting mosquito population is important in the fight against mosquito borne diseases. This study aimed at evaluating the efficacy of a simply resting box baited with crude fruit and leaf ethanol extracts of Phytolacca dodecandra in attracting and killing indoor mosquitoes at Korando, Western Kenya. The study was conducted in three phases: pre-intervention, intervention and post intervention. Simple resting boxes made from galvanized wire frame measuring 30 cm × 30 cm × 30 cm, covered in blue and black tunic in and out and lined with carton boards were used. The boxes were baited with socks with strong human odour and 80 ml/100mls (e/w) solution of either crude ethanol fruit or leaf extracts of P. dodecandra, ethanol leaf extracts of Azadiracta indica or Deltamethrin. Deltamethrin and Azadiracta indica were used as positive and water as negative control. The treatments were applied at the intervention phase only. The boxes were left overnight in the houses and mosquitoes collected by 6.30 h. It was observed that more Culicines than Anopheline were captured irrespective of phase or treatment used. Mosquito densities reduced with phase of activity. P. dodecandra leaf extracts killed more mosquitoes than fruit or A. indica leaf extracts though the number were less than that of Deltamethrin or WHO threshold of >80% mortality. In conclusion, the simple resting boxes were effective in collecting and killing indoor mosquitoes though lethality did not matched the WHO threshold. With improved structural set up and use of pure extracts of P. dodecandra, the resting boxes can serve as effective tools for capture, elimination and management of mosquito borne diseases.

Keywords: Resting Boxes, Mosquitoes, Phytolacca dodecandra, Deltamethrin, Neem

1. Introduction

Mosquitoes are important vectors of mosquito borne diseases (Tainchum et al., 2015, Wilke and Marrelli, 2015), that are of major public health importance in nearly all the tropical and subtropical countries (Becker et al., 2010, Braack et al., 2018). The need to develop new tools to manage the densities of these mosquitoes is important if the wars against diseases borne by mosquitoes are to be won. Currently the most popular method of mosquito control is the use of treated surfaces such as insecticide treated bed nets (ITNs), long lasting insecticide treated bed nets (LLITNSs) and indoor residual sprays (IRS). However, the synthetic chemicals used on these surfaces are harmful (Nkya et al., 2013) as they have been known to cause serious environmental pollution (water, air and soil), negatively impact human health, are non-target organisms (animals, plants, and fish) specific (Biswas et al., 2014) and less effective to target mosquitoes (Liu, 2015).

Many methods have been sought and tested in order to try and salvage the situation. One of such strategy is the use of mosquito traps for surveillance as well as management of mosquito population (WHO, 2018b, WHO, 2018a). The traps come in different models (Pombi et al., 2014), layout (Okumu et al., 2010), baits (Kweka et al., 2013, Kweka et al., 2009) and are likely to be customized for particular habitats. The traps have been used to target indoor resting gravid females (Barrera et al., 2017, Johnson et al., 2017) and as an auto-dissemination devices for transiting females (Buckner et al., 2017). For the latter, its believed exposed mosquito either die immediately or if it exits (capture–release) (WHO, 2009), it auto-disseminate (amplify) the contaminants to other habitats it comes into contact with, exposing others that comes into contact with these surfaces. This in the end prevents other adults from emerging (Caputo et al., 2012). In either case, a proportion of the reproductive individuals are eliminated leading to reduced abundance (Sriwichai, et al., 2015) and by extension the number of infectious bites (Lorenzi et al., 2016).

The human bait trap (Human landing catch) is another method of sampling mosquitoes. It is accurate in measuring of man-vector contact (Service, 1993) as it involves real time collection of mosquitoes that attempt to feed (Jiang et al., 2007) and as such it is considered the gold standard for mosquito sampling. However, the method is hardly in use today due to ethical concerns (WHO, 2003) and available traps such as ovitraps (Johnson et al., 2017), surveillance traps (Mboera, 2006, Silver and Service, 2008, Brown et al., 2018, Degefa et al., 2019) and others (Rapley et al., 2009, Okumu et al., 2010, Gorsich et al., 2019) continue to significantly report different capture efficiencies (Kline, 2006). This is not only a challenge but a clarion call for urgent development and test of novel designs that could provide the needed consistency and accuracy in mosquito capture and elimination.

The current study was to develop a simple resting box and use the same to capture and kill indoor resting mosquitoes. This was to comply with the advocacy of the Global Technical Strategy for Malaria Elimination (GTS) (WHO, 2015) and Global Vector Control Response initiative (GVCR) (WHO, 2017) for integration of surveillance and elimination strategies against mosquitoes and mosquito borne diseases. However, the choice to use crude extracts of Phytolacca dodecandra (hereafter Endod), was to encourage use of botanicals which in addition to being highly efficient, are less likely to create dependence and resistance among disease vectors and above all are environmentally friendly (Pavela, 2014, Pavela, 2016, Singh and Kaur, 2018, Saravi and Shokrzadeh, 2011). Endod plant extracts are rich in botanicals (Altemimi et al., 2017) and when closely monitored (Oladipupo et al., 2019) are likely to serve as safe and biodegradable bio-insecticides (Asadollahi et al., 2019) without running the risk of resistance. In addition, the study also intended to evaluate the efficacy of simply resting box baited with Endod plant part (fruit and leaf) crude ethanol extracts in capturing and killing indoor resting mosquitoes at Korando, Western Kenya.

2. Materials and methods

2.1. Study site

The current study was conducted at Korando “B” Village (Fig. 1). The geographical coordinates of the site is S 0°4′47.23716; E 34°40′38.3047. It is domiciled at Kisumu Central Location, Otonglo Division, Kisumu North District, Kisumu County, Western Kenya. It is 11.4 km away from Kisumu central business district (CBD) along Kisumu-Busia/Mumias Road. Most residents here are of Luo ethnic group engaged in a plethora of economic activities including agriculture and fishing to eke a living. The people live in variously designed house structures. The site was settled upon due to the fact that there is an intense mosquito activity that has often led to intense malaria transmission all year-round with peaks between March–June and October–November (Beier et al., 1994).

Fig. 1.

Fig. 1

Map of Kisumu County showing Korando “B” Village.

2.2. Sourcing for Deltamethrin (KOTab 1-2-3®) and plant materials acquisition and extraction

Deltamethrin (KOTab 1-2-3®) and fresh mature green fruits and leaves of Endod and leaves of Azadirachta indica (hereafter Neem) were sourced, identified and voucher number deposited as earlier described (Yugi et al., 2014). The parts were prepared and extracted following procedures used by Das et al., 2010, Yugi et al., 2014, Yugi et al., 2015 to obtain crude extracts in the form of a paste after freeze drying. The paste was then aliquoted into units of 80 mgs each, wrapped in aluminium foil and placed in zipped plastic bags (Each bag containing aliquots of a particular plant part). The bags were then put in airtight glass bottles to serve as stock quantity.

2.3. Selection of houses for experimentation

Houses for experimentation were sampled using a randomized complete block design. Four blocks of about 1 km2 apart were identified and homesteads within numbered and selected randomly using lottery technique. Four houses per block were selected for inclusion and for each treatment (Fig. 2). The houses were included in the study based on; Type of material used to make the walls, the texture of the interior wall and whether the interior is painted or not. Also considered was the type of eve, whether open or closed, mosquito interventions method (IRS done or not) and presence or absence of mosquito nets and the type (whether ITNs or LLTNs). Houses with a history of use of an intervention were not used for experimentation.

Fig. 2.

Fig. 2

Houses sampled for mosquito collection.

2.4. Mosquito resting boxes

Simple resting boxes for the capture and exposure of mosquitoes were made using galvanized wire frame measuring 30 cm × 30 cm × 30 cm in a design similar to one described by Crans (1989). Bright blue and black pieces of cloth were sown to the outside and inside respectively and square pieces of cartons placed between the tunics on the faces of the cuboid for reinforcement (Fig. 3). The black tunic was used to attract mosquitoes (Bidlingmayer and Hem, 1980, Okumu et al., 2010, Lima et al., 2014) in addition to making the interior of box dark.

Fig. 3.

Fig. 3

Assembling components of simple mosquito resting boxes (modified after Harbisonet al., 2006) in readiness for surveillance.

2.5. Experimental set up

The experiment was conducted during the dry seasons for a period of two months (60 days) in three phases; pre-intervention, intervention and post-intervention. For the pre-intervention, 24 resting boxes were placed individually in 24 houses. None of the boxes had treatment. For the Intervention, twelve boxes (12), four (4) of which was sprayed with a solution of a particular treatment (experimental) and twelve (12) other boxes sprayed with water only (control) were individually placed in the selected houses (Table 1). For the post-intervention, the activity was conducted as described for pre-intervention phase. All boxes were baited with socks with heavy human odour (the socks having been worn for four consecutive days by human volunteers). Each sock was pinned at the roof of each box and the box placed on the floor at a corner (Fig. 4) in a house with no preference as to where the opening faced (Mboera, 2005). The boxes were however, sited in areas with no or minimal interference if any for the duration of the study. The experiments were replicated four (4) times.

Table 1.

Placement schedule for Treated simple resting boxes within field selected houses.

S/N Treatment used No. of houses for each treatment
1 Endod fruit extracts 4
2 Neem leaf extracts 4
3 Deltamethrin 4
4 Control 12

Fig. 4.

Fig. 4

Simple mosquito resting boxes in experimental houses.

2.6. Mosquito bioassay

A four by four factorial experimental design was used in the bioassays (Kothari, 2004). Stocks extracts of [Endod (mature fruit and leaf) and Neem (leaf)] and Deltamethrin powder were mixed with distilled water at a ratio of 80 mg/100 ml (t/w) and the solution used to spray the interior of the resting boxes. Twelve (12) treated (4 with a particular treatment) and twelve (12) control boxes were used in the intervention phase. The experimental boxes were left to stay for a maximum period of two days in a house before being shuffled. Shuffling was done among houses with similar treatment. The controls were however, undisturbed. After the boxes in each of the four experimental houses had been fully shuffled, the experimental boxes were exchanged with control boxes in such a way that experimental boxes were placed in houses that had control boxes and vice versa. The procedure was repeated until all the four treatments were used in each house. Priority however, was given to boxes sprayed with extracts of Endod and Neem. The shuffling and rotation was done to avoid positional and interpersonal bias.

For all the phases, resting boxes were set in place by 6.30 pm every evening and left to stay in the houses overnight. Trapped mosquitoes were aspirated from the boxes twelve (12) hours later that is at 6.30 am (EAT) every morning. A torch was used to light the boxes and all mosquitoes therein collected using a battery powered (procopak) aspirator. The captured mosquitoes were put in plastic holding cups (Fig. 5) labeled with treatment used against and thereafter transported to the laboratory for processing.

Fig. 5.

Fig. 5

Equipment for aspirating and holding mosquitoes from simple resting boxes.

At the laboratory, Gillies and Coetzee (1987) pictorial identification key containing line graphics of morphological characters in couplets was used to place the mosquitoes into species. Dead mosquitoes were counted and disposed of and those alive put in recovery paper cups appropriately labeled and provided with sugar solution for nutrition. These mosquitoes were monitored for mortality overnight. WHO threshold of >80% was used to pass a sentence of effectiveness for the extracts (WHO, 2006).

2.7. Data analysis

Data obtained from the bioassays was entered in excel sheets and the relationship between the effect of the trap and extracts on captured and killed mosquitoes determined using descriptive statistics. One way analysis of variance (ANOVA) and student T test were used to assess the level of significance of effect of the extracts on densities and mortality. Comparative attractiveness of the extracts to the mosquito species was determined using student T test. All statistical analysis was performed using Statistical Package for Social Scientists (SPSS) version 22.

3. Results

The current study was conducted for a period of two months (60 days) in three phases: pre, during and post intervention. Treatment was applied at the intervention phase only. It was observed that a high proportion of culicine were captured compared to anopheline mosquitoes. The densities of captured mosquitoes, reduced as the activities proceeded from pre to post intervention with densities significantly differing (p < 0.05) irrespective of the phase or species (Table 2).

Table 2.

Mosquitoes densities per intervention phase [Densities presented as % mean plus standard error of mean (SEM)].

Activity type Mosquito type
df F P
Anopheline Culicine
Pre-intervention 41.80 ± 0.80a 58.20 ± 0.80a 2 208.274 0.000
Intervention 40.30 ± 1.03a 59.29 ± 1.04a 2 167.941 0.000
Post-intervention 39.27 ± 0.47a 60.73 ± 0.47a 2 1053.236 0.000

Notes: df = degree of freedom; F = the F statistical factor; P = probability for the level of significance. P was taken as significant at p < 0.05. Rows having mean percentage mortality superscripted with the same letter “a” indicate significance influence of experimental phases to the densities of captured mosquitoes

A high density of culicine as opposed to anopheline mosquitoes preferred the resting boxes to the general interior of the houses though the densities were not significantly different (p < 0.05) irrespective of treatment or species (Table 3). The highest and lowest densities of the mosquitoes were recorded for boxes sprayed with Deltamenthrin and Endod plant part extracts respectively with the number of captured mosquitoes differing significantly irrespective of treatment (p < 0.05) except for Deltamethrin (p > 0.05) (Table 4).

Table 3.

Mosquitoes aspirated from the simple resting boxes (Numbers presented in terms of % mean ± standard error of mean (SEM).

Mosquito species Mosquitoes in the resting boxes (Mean ± SEM) df t P
Anopheline 40.25 ± 0.44a 867 90.540 0.000
Culicine 59.47 ± 0.45a 867 132.293 0.000

Notes: df = degree of freedom; t = the t statistical factor for student t test; P = probability for the level of significance. P was taken as significant at p < 0.05 for a two tailed test. Rows having mean percentage mortality superscripted with the same letter “a” indicate a significant influence of resting boxes on densities of trapped mosquito species.

Table 4.

Mosquitoes densities per treatment used in the resting boxes [Densities represented as % means plus standard error of means (SEM)].

Treatment type Mosquito type
df F P
Anopheline Culicine
Endod fruits 37.95 ± 2.20a 62.05 ± 2.20a 4 60.131 0.000
Endod leaves 38.27 ± 1.76a 62.02 ± 1.80a 4 88.827 0.000
Neem 36.76 ± 2.63a 60.27 ± 2.73a 4 38.448 0.000
Deltamethrin 50.00 ± 1.66b 50.00 ± 2.84b 4 0.000 1.000
Control 43.39 ± 1.27a 56.75 ± 1.27a 4 55.313 0.000

Notes: df = degree of freedom; F = the F statistical factor; P = probability for the level of significance. P was taken as significant at p < 0.05. Rows having % mean numbers of mosquitoes superscripted with a different letter “b” are not significantly different.

The boxes caught on average 50% of the mosquitoes irrespective of species except for boxes treated with Neem leaf extracts (Fig. 6). The densities however, were significantly different irrespective of treatment (Table 5). Deltamethrin and Neem leaf extract treated boxes had the highest and lowest record of mortalities of exposed mosquitoes respectively. Fatalities however, differed significantly (p < 0.05) irrespective of treatment or control (Table 6).

Fig. 6.

Fig. 6

Effect of treatment on mosquito densities [Densities are represented as % mean ± standard error of mean (SEM)].

Table 5.

One sample t test representation on impact of treatment on mosquito densities.

Treatment used df t p
Endod Fruit 111 25.980 0.000
Endod Leaves 111 29.737 0.000
Neem Leaves 111 22.129 0.000
Deltamethrin 111 24.995 0.000
Control 111 45.693 0.000

Notes: df = degree of freedom; t = the t statistical factor for student t test; P = probability for the level of significance. P was taken as significant at p < 0.05 for a two tailed test.

Table 6.

Impact of lethal treatment on exposed mosquitoes [Densities represented as % means plus standard error of means (SEM)]

Treatment Mortality (Mean ± SEM)) df t p
Endod fruits 53.98 ± 1.49a 55 36.275 0.000
Endod leaves 55.71 ± 1.00a 55 55.756 0.000
Neem 50.39 ± 1.01a 55 49.898 0.000
Deltamethrin 60.00 ± 1.27a 55 47.396 0.000
Control 16.38 ± 0.90a 55 18.186 0.000

Notes: df = degree of freedom; t = the t statistical factor for student t test; P = probability for the level of significance. P was taken as significant at p < 0.05 for a two tailed test.

4. Discussions

In the current study two species (Anopheline and Culicine) of mosquitoes important as malaria and other mosquito borne diseases in Western Kenya were captured (Karungu et al., 2019). Of these, culicines were the majority and also the most susceptible to the treatments used. Crude Endod leaf extracts were more lethal compared to Endod fruits or Neem leaf extracts but not Deltamethrin to the exposed mosquitoes.

Anophelines are a group of mosquitoes that belong to the family Culicidae, genus Anopheles and are known to be the most competent malaria vectors (Cohuet et al., 2009), transmitting one of the most virulent human malaria parasite, Plasmodium falciparum (Macharia et al., 2018). Anopheles arabiensis and An. gambiae, members of Anopheles gambiae complex are dominant in Kisumu and the neighbouring Siaya County (Okara et al., 2010). On the other hand the drab coloured, culicine mosquito species are generally found in all zoogeographical areas (Bhattacharya and Basu, 2016) around human settlements (Ciota and Kramer, 2013) and are implicated in the transmission of arboviruses (Weissenböck et al., 2010, Ochieng et al., 2013).

In the current study, more culicine than anopheline mosquitoes were captured. This observation was consistent with that of Pombi et al. (2014), who captured a higher density of culex mosquitoes in and out of the experimental houses using a Sticky Resting Box (SRB). Culex mosquito species are widespread (Bhattacharya and Basu, 2016) and coupled with their highly opportunistic feeding nature as well as their adaptation to live near human habitats (Maxwell et al., 1990), it is not surprising they were the majority in the traps.

Overraly, very low numbers of mosquitoes were retrieved from the boxes. Two explanations would service for this observation. First it is obvious most of the mosquitoes left, leaving those that had visited the boxes shortly before capture. Earlier, Matowo et al. (2013) had demonstrated that mosquitoes spend about 30 min or less in resting boxes and it was logical to catch only a few mosquitoes that had visited the boxes 30 min before collection. In the current study the boxes were set and left in the experimental house overnight and were only visited once in the morning almost 12 h later. Given that the mosquitoes visited the boxes in anticipation for a blood meal (having been lured in by human foot oduor), it was natural for them to fly away shortly thereafter on realization that the box actually offered no such thing. Second, though human odour attractants was used, the fact that the sources were never replenished informs that the intensities and concentrations might have gone down leading to reduced attractiveness of the resting boxes. Indeed Chaiphongpachara et al. (2018) demonstrated using mush room attractants that the highest number of mosquitoes was attracted to a box with the highest dose of the lure or attractant, an observation similar to what was observed in the current study. However, in this study the odour lures were never refreshed or renewed and as would have been expected, after sometime the boxes would have yielded zero catches which was not the case. The boxes continually attracted mosquitoes to the last day, though the numbers were very low. This observation was consistent with Chaiphongpachara et al., 2018, Cook et al., 2011 findings that observed that the attractant potential as lures was not a simple function of the amount used.

The above observations not withstanding and though it was impossible to ascertain the actual number of mosquitoes that visited the experimental boxes, one thing is for certain, all mosquitoes that landed and rested in the boxes picked an amount of the applied crude ethanol Endod plant part extracts (Matowo et al., 2013) and wherever they exited to, they died or contaminated surfaces or habitats they landed on. That is they biomagnified the effect of the toxicant. This however, remains just a speculation as it was not demonstrated. What is of certain is the fact that the simple resting boxes were attractive to the indoor resting mosquitoes due to probably three things; the colour of the interior (black), human oduor and the extracts.

Mosquitoes have been demonstrated to recognize colour by chemical receptor molecules in the eyes, and that colour is a significant determinant attraction (Lima et al., 2014). The black tunic must have aided in the attraction of the mosquitoes as had earlier been demonstrated by Bidlingmayer and Hem, 1980, Okumu et al., 2010, Lima et al., 2014 who found that black was an effective attraction to mosquitoes.

That human have different attractive body oduor profiles (Verhulst et al., 2011) that make them attractive to mosquitoes (Takken and Knols, 1999, Olanga et al., 2010) is not in doubt (Rebollar-Téllez, 2005, Olanga et al., 2010) here. What is not certain is whether the plant extracts herein attracted the mosquitoes. Neem extracts have been demonstrated to repel as well as kill An. gambiae mosquitoes (Deletre et al., 2013) and from the observation made herein of boxes treated with Neem leaf extracts capturing less than 50% as well as killing slightly more than 50% of indoor mosquitoes, the findings herein is consistent with their repellant (Wannang et al., 2015, Macchioni et al., 2019) as well as toxic (Deletre et al., 2013) effects. Additionally, though, extracts of Endod had earlier proven toxic to laboratory cultured An. gambiae (Yugi et al., 2016) and An. arabiensis (Zeleke et al., 2017) mosquitoes, a feat that put Endod extracts in the same league as other plants with mosquito adulticidal potential (Mavundza et al., 2014, Ramkumar et al., 2016), the evidence herein of >50% capture of indoor mosquitoes, demonstrate repellency potential of Endod plant extracts towards mosquitoes.

The use of plant extracts for example straw mushroom, Volvariella volvacea (Chaiphongpachara et al., 2019) and Berk Mushroom, Tremella fuciformis (Chaiphongpachara et al., 2018) as alternative to animal-baited traps, homemade traps baited with heat, moisture and limburger cheese (Owino, 2011) would increase supervisory efficiency, reduce labour cost and risk of infection as is when passive seated human baits are used (Service, 1977). However, demonstrated efficacy of plant extracts as baits for mosquitoes are disappointingly few. A demonstration of extracts of Endod as having potential to attract mosquitoes as is inherent in this study is of double benefit. It is like having a double edged sword that cuts either way. In this study, the extracts not only augmented the capacity of the simple resting boxes to attract and capture but upgraded it to a killing machine for the exposed mosquitoes. Indeed the performance of the extracts exceeded that of other known box traps (Chaiphongpachara et al., 2018).

Phytochemical analysis has shown that terpenoids, phenolics (Matebie et al., 2019), saponins (Dorsaz and Hostettmann, 1986, Perret et al., 1999, Mmbando et al., 2010), alkaloids, proteins and amino acids, flavonoids, steroids, total phenols and tannins (Gani et al., 2016) are the chemical constituents inherent within Endod plant parts. In this study however, it is impossible to tell and therefore pinpoint with certainty the chemical constituent responsible for the observed lure of the mosquitoes into the resting boxes as none was experimental upon. This study submits therefore that the active Endod plant part chemical constituent that was responsible for lure of mosquitoes irrespective of species is unknown.

5. Conclusion

It is concluded that the simple resting boxes baited with crude ethanol extracts of Endod plant parts is indeed effective in capturing and killing indoor resting mosquitoes. It is further noted that with refinement of the trap, purification of extracts and possible use of a system that periodically replenishes both bait (human odour and Endod polyphenols), the simply resting box could be a dependable alternative tool for managing indoor resting mosquitoes and mosquito borne diseases.

Ethical clearance

Ethical clearance was sort and granted through a certificate Ref: No. GREC 092/38/2012 by the Great Lakes University of Kisumu (GLUK) Research Ethics Committee (GREC). Individual informed consent from head of homesteads was also obtained from all participants following verbal and written explanation of study aims and procedures in the participant’s mother tongue (Dholuo). Individuals showed willingness to participate by either signing or thumb printing the consent document.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

The author thanks Harnel Owiti and Richard Amito, for culturing all mosquitoes used in this study, Centre for Global Health Research/Kenya Medical Research Institute (CGHR/KEMRI) for mosquitoes, laboratory space and equipment. National Commission for Science, Technology and Innovation (NACOSTI), Kenya is thanked for funding this project.

Footnotes

Peer review under responsibility of King Saud University.

References

  1. Altemimi A., Lakhssassi N., Baharlouei A., Watson D.G., Lightfoot D.A. Phytochemicals: Extraction, Isolation, and Identification of Bioactive Compounds from Plant Extracts. Plants. 2017;6:42. doi: 10.3390/plants6040042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Asadollahi A., Khoobdel M., Zahraei-Ramazani A., Azarmi S., Mosawi S.H. Effectiveness of plant-based repellents against different Anopheles species. A Syst. Rev. 2019;18:436. doi: 10.1186/s12936-019-3064-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Barrera R., Acevedo V., Felix G.E., Hemme R.R., Vazquez J., Munoz J.L., Amador M. Impact of autocidal gravid ovitraps on chikungunya virus incidence in Aedes aegypti (Diptera: Culicidae) in areas with and without Traps. J. Med. Entomol. 2017;54(2):387–395. doi: 10.1093/jme/tjw187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Becker N., Petric D., Zgomba M., Boase C., Madon M.B., Dahl C., Kaiser A. second ed. Springer; Berlin/Heidelberg, Germany: 2010. Mosquitoes and Their Control. [Google Scholar]
  5. Beier J.C., Oster C.N., Onyango F.K., Bales J.D., Sherwood J.A., Perkins P.V., Chumo D.K., Koech D.V., Whitmire R.E., Roberts C.R. Plasmodium falciparum incidence relative to entomologic inoculation rates at a site proposed for testing malaria vaccines in western Kenya. Amer. J. Trop. Med. Hyg. 1994;50:529–536. doi: 10.4269/ajtmh.1994.50.529. [DOI] [PubMed] [Google Scholar]
  6. Bhattacharya S., Basu P. The southern house mosquito, Culex quinquefasciatus: profile of a smart vector. J. Entomol. Zool. Stud. 2016;4(2):73–81. [Google Scholar]
  7. Bidlingmayer W.L., Hem D.G. The range of visual attraction and the effect of competitive visual attractants upon mosquito (Diptera: Culicidae) flight. Bull. Ento. Res. 1980;70(2):321–342. [Google Scholar]
  8. Biswas S.K., Rahman S., Kobir S.M.A., Ferdous T., Banu N.A. A Review on Impact of Agrochemicals on Human Health and Environment: Bangladesh Perspective. Plant Env. Dev. 2014;3(2):31–35. [Google Scholar]
  9. Braack L., De Almeida Gouveia A.P., Cornel A.J., Swanepoel R., De Jager C. Mosquito-borne arboviruses of African origin: Review of key viruses and vectors. Parasit. Vect. 2018;11:29. doi: 10.1186/s13071-017-2559-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Brown R., Hing C.T., Fornace K., Ferguson H.M. Evaluation of resting traps to examine the behaviour and ecology of mosquito vectors in an area of rapidly changing land use in Sabah, Malaysian Borneo. Parasit. Vect. 2018;11:346. doi: 10.1186/s13071-018-2926-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Buckner E.A., Williams K.F., Marsicano A.L., Latham M.D., Lesser C.R. Evaluating the vector control potential of the In2Care® mosquito trap against Aedesaegypti and Aedesalbopictus under semifield conditions in Manatee County, Florida. J. Am. MosqCont. Assoc. 2017;33(3):193–199. doi: 10.2987/17-6642R.1. [DOI] [PubMed] [Google Scholar]
  12. Caputo Beniamino, Annamaria Ienco . Daniela Cianci . Marco Pombi . Vincenzo Petrarca. Alberto Baseggio. Gregor J. Devine. Alessandra della Torre The ‘‘Auto-Dissemination‘‘ Approach: A Novel Concept to Fight Aedes albopictus in Urban Areas. PLOS Neglected Tropical Diseases. 2012;6(8):1–8, e1793. doi: 10.1371/journal.pntd.0001793. In this issue. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Chaiphongpachara T., Chitsawaeng C., Chansukh K.K. Comparison of the larvicidal and adult mosquito attractant efficacy between straw mushroom Volvariella volvacea extract and octenol (1-octen-3-ol) on mosquito vectors (Diptera: Culicidae) J. App. Pharm. Sci. 2019;9(07):095–099. [Google Scholar]
  14. Chaiphongpachara T., Sumchung K., Bumrungsuk A., Chansukh K.K. Larvicidal and Adult Mosquito Vector Attractant Activity of Berk Mushroom Tremella fuciformis Extract on Aedes aegypti (L.) and Culex sitiens Wiedemann (Diptera: Culicidae) J. App. Pharm. Sci. 2018;8(09):007–010. [Google Scholar]
  15. Ciota A.T., Kramer L.D. Vector-virus interactions and transmission dynamics of West Nile virus. Viruses. 2013;5:3021–3047. doi: 10.3390/v5123021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Cohuet A., Harris C., Robert V., Fontenille D. Evolutionary forces on Anopheles: what makes a malaria vector? Trends Parasit. 2009;13(9):1–7. doi: 10.1016/j.pt.2009.12.001. [DOI] [PubMed] [Google Scholar]
  17. Cook J.I., Majeed S., Ignell R., Pickett J.A., Birkett M.A., Logan J.G. Enantiomeric selectivity in behavioural and electrophysiological responses of Aedes aegypti and Culex quinquefasciatus mosquitoes. Bull. Entomol. Res. 2011;101(5):541–550. doi: 10.1017/S0007485311000162. [DOI] [PubMed] [Google Scholar]
  18. Crans, W.J., 1989. Resting boxes as mosquito surveillance tools. In: Proceedings of the 82nd Annual Meeting of the New Jersey Mosquito Control Association, Inc. pp. 53 – 57.
  19. Das K., Tiwari R.K.S., Shrivastava D.K. Techniques for evaluation of medicinal plant products as antimicrobial agent: Current methods and future trends. J. Med. Plants Res. 2010;4(2):104–111. [Google Scholar]
  20. Degefa T., Yewhalaw D., Zhou G., Lee M.C., Atieli H., Githeko A.K., Yan G. Evaluation of the performance of new sticky pots for outdoor resting malaria vector surveillance in western Kenya. Parasit. Vect. 2019;12:278. doi: 10.1186/s13071-019-3535-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Deletre E., Martin T., Campagne P., Bourguet D., Cadin A., Menut C., Bonafos R., Chandre F. Repellent, Irritant and Toxic Effects of 20 Plant Extracts on Adults of the Malaria Vector Anopheles gambiae Mosquito. PLoS ONE. 2013;8(12) doi: 10.1371/journal.pone.0082103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Dorsaz A.C., Hostettmann K. Further saponins from Phytolacca dodecandra L′ Herit. Helv. Chim. Acta. 1986;69(8):2038–2047. [Google Scholar]
  23. Gani S.B., Ganesan K., Nair S.K.P., Letha N. Phytochemical Screening of Different Solvent Extracts of Soap Berry Phytolacca dodecandra (L'herit.) - A Native Ethiopian Shrub. Inter. J. Pharm. Pharm. Sci. 2016;5(2):100–109. [Google Scholar]
  24. Gillies T.M., Coetzee M. Pub South Afri Instit Med Res; Johannesburg, Republic of South Africa: 1987. Supplement of the Anopheles of Africa South of Sahara (Afrotropical Region) p. 143. [Google Scholar]
  25. Gorsich E.E., van Beechler B.R., Bodegom P.M., Govender D., Guarido M.M., Venter M., Schrama M. A comparative assessment of adult mosquito trapping methods to estimate spatial patterns of abundance and community composition in southern Africa. Parasit. Vect. 2019;12:462. doi: 10.1186/s13071-019-3733-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Harbison J.E., Mathenge E.M., Misiani G.O., Mukabana W.R., Day J.F. A Simple Method for Sampling Indoor-Resting Malaria Mosquitoes Anopheles gambiae and Anopheles funestus (Diptera: Culicidae) in Africa. J. Med. Ento. 2006;43(3):473–479. doi: 10.1603/0022-2585(2006)43[473:asmfsi]2.0.co;2. [DOI] [PubMed] [Google Scholar]
  27. Jiang S., Xiao B., Wu C. The result of analysis and surveillance on the relevant factors affecting malaria prevalence before the three Gorge Dam construction. J. Trop. Dis. Par. 2007;5:73–78. [Google Scholar]
  28. Johnson B.J., Ritchie S.A., Fonseca D.M. The state of the art of lethal oviposition trap-based mass interventions for arboviral control. Insects. 2017;8(1):5. doi: 10.3390/insects8010005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Karungu S., Atoni E., Ogalo J., Mwaliko C., Agwanda B., Yuan Z., Hu X. Mosquitoes of Etiological Concern in Kenya and Possible Control Strategies. Insects. 2019;10(173):1–23. doi: 10.3390/insects10060173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Kline D.L. Traps and trapping techniques for adult mosquito control. J. Amer. Mosq. Control. Assoc. 2006;23:490–496. doi: 10.2987/8756-971X(2006)22[490:TATTFA]2.0.CO;2. [DOI] [PubMed] [Google Scholar]
  31. Kothari C.R. second ed. New Age International Publishers; New Delhi, India: 2004. Research Design: Research Methodology, Methods and Techniques. [Google Scholar]
  32. Kweka E.J., Owino E.A., Lee M., Dixit A., Himeidan Y.E., Mahande A.M. Eficacy of resting boxes baited with Carbon dioxide versus CDC light trap for sampling mosquito vectors: A comparative study. Global Health Perspect. 2013:11–18. [Google Scholar]
  33. Kweka E.J., Mwang’Onde B.J., Kimaro E., Msangi S., Massenga C.P., Mahande A.M. A resting box for outdoor sampling of adult Anopheles arabiensis in rice irrigation schemes of lower Moshi, northern Tanzania. Mal. J. 2009;8(1):82. doi: 10.1186/1475-2875-8-82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Lima J.B.P., Rosa-Freitas M.G., Rodovalho C.M., Santos F., Lourenço-de-Oliveira R. Is there an efficient trap or collection method for sampling Anopheles darlingi and other malaria vectors that can describe the essential parameters affecting transmission dynamics as effectively as human landing catches? – A review. Memorias Do Inst Osw Cruz. 2014;109(5):685–705. doi: 10.1590/0074-0276140134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Liu N. Insecticide resistance in mosquitoes: impact, mechanisms, and research directions. Annl. Rev. Ento. 2015;60(1):537–559. doi: 10.1146/annurev-ento-010814-020828. [DOI] [PubMed] [Google Scholar]
  36. Lorenzi O.D., Major C., Acevedo V., Perez-Padilla J., Rivera A., Bigger staff B.J., Munoz-Jordan J., Waterman S., Barrera R., Sharp T.M. Reduced incidence of chikungunya virus infection in communities with ongoing aedes aegypti mosquito trap intervention studies. Wkly. Rep. 2016;65:479–480. doi: 10.15585/mmwr.mm6518e3. [DOI] [PubMed] [Google Scholar]
  37. Macchioni F., Sfingi M., Chiavacci D., Cecchi F. Azadirachta indica (Sapindales: Meliaceae) Neem Oil as a Repellent against Aedes albopictus (Diptera: Culicidae) Mosquitoes. J. Insect Sci. 2019;19(6):1–4. doi: 10.1093/jisesa/iez111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Macharia P.M., Giorgi E., Noor A.M., Waqo E., Kiptui R., Okiro E.A., Snow R.W. Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya. Mal. J. 2018;17:340. doi: 10.1186/s12936-018-2489-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Matebie W.A., Zhang W., Xie G. Chemical composition and antimicrobial activity of essential oil from Phytolacca dodecandra collected in Ethiopia. Mol. 2019;24(2):342. doi: 10.3390/molecules24020342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Matowo, N.S., Moore, J., Mapua, S., Madumla, E.P., Moshi, I.R., Kaindoa, E.W., Mwangungulu, S.P., Kavishe, D.R., Sumaye, R.D., Lwetoijera, D.W., Okumu, F.O., 2013. Using a new odour-baited device to explore options for luring and killing outdoor-biting malaria vectors: a report on design and field evaluation of the Mosquito Landing Box. Par. Vect. 6,137. [DOI] [PMC free article] [PubMed]
  41. Mavundza E.J., Maharaj R., Chukwujekwu J.C., Finnie J.F., Staden J.V. Screening for adulticidal activity against Anopheles arabiensis in ten plants used as mosquito repellent in South Africa. Mal. J. 2014;13:173. doi: 10.1186/1475-2875-13-173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Maxwell C.A., Curtis C.F., Haji H., Kisumku S., Thalib A.I., Yahya S.A. Control of Bancroftian filariasis by integrating therapy with vector control using polystyrene beads in wet pit latrines. Trans. R. Soc. Trop. Med. Hyg. 1990;84(5):709–714. doi: 10.1016/0035-9203(90)90158-b. [DOI] [PubMed] [Google Scholar]
  43. Mboera L.E.G. Sampling techniques for adult Afrotropical malaria vectors and their reliability in the estimation of entomological inoculation rate. Tanz. Health Res. Bull. 2005;7:117–124. doi: 10.4314/thrb.v7i3.14248. [DOI] [PubMed] [Google Scholar]
  44. Mboera L.E.G. Sampling techniques for adult Afrotropical malaria vectors and their reliability in the estimation of entomological inoculation rate. Tanz. J. Health Res. 2006;7:117–124. doi: 10.4314/thrb.v7i3.14248. [DOI] [PubMed] [Google Scholar]
  45. Mmbando, B.P., Vestergaard, L.S., Kitua, A.Y., Lemnge, M.M., Theander, T.G., Mohamed, A.D., Miti, S.K., Campbell, C.C., 2010. Scaling up malaria control in Mølgaard, P., Chihaka, A., Lemmich, E., Furu, P., Windberg, C., Ingerslev, F., Halling-Sørensen, B., 2000. Biodegradability of the Molluscicidal Saponins of Phytolacca dodecandra. Regulat. Toxicol. Pharmacol. 32(3), 248–255. [DOI] [PubMed]
  46. Nkya T.E., Akhouayri I., Kisinza W., David J.P. Impact of environment on mosquito response to pyrethroid insecticides: facts, evidences and prospects. Insect. Biochem. Mol. Biol. 2013;43(4):407–416. doi: 10.1016/j.ibmb.2012.10.006. [DOI] [PubMed] [Google Scholar]
  47. Ochieng C., Lutomiah J., Makio A., Koka H., Chepkorir E., Yalwala S., Mutisya J., Musila L., Khamadi S., Richardson J., Bast J., Schnabel D., Wurapa E., Sang R. Mosquito-borne arbovirus surveillance at selected sites in diverse ecological zones of Kenya; 2007–2012. Virol. J. 2013;10:140. doi: 10.1186/1743-422X-10-140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Okara R.M., Sinka M.E., Minakawa N., Mbogo C.M., Hay S.I., Snow R.W. Distribution of the main malaria vectors in Kenya. Mal. J. 2010;9:69. doi: 10.1186/1475-2875-9-69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Okumu F.O., Madumla E.P., John A.N., Lwetoijera D.W., Sumaye R.D. Attracting, trapping and killing disease transmitting mosquitoes using odor-baited stations - The Ifakara Odor-Baited Stations”. Par. Vect. 2010;3:1. doi: 10.1186/1756-3305-3-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Oladipupo S.O., Callaghan A., Holloway G.J., Gbaye O.A. Variation in the susceptibility of Anopheles gambiae to botanicals across a metropolitan region of Nigeria. PLoS ONE. 2019;14(1) doi: 10.1371/journal.pone.0210440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Olanga E., Okal M., Mbadi P., Kokwaro E., Mukabana W. Attraction of Anopheles gambiae to odour baits augmented with heat and moisture. Mal. J. 2010;9:6. doi: 10.1186/1475-2875-9-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Owino E.A. Sampling of An. gambiae s.s mosquitoes using Limburger cheese, heat and moisture as baits in a homemade trap. BMC Res. Notes. 2011;4:284. doi: 10.1186/1756-0500-4-284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Pavela R. Insecticidal properties of Pimpinella anisum essential oils against the Culex quinquefasciatus and the nontarget organism Daphnia magna. J. Asia Pacific Ent. 2014;17:287–293. [Google Scholar]
  54. Pavela R. History, presence and perspective of using plant extracts as commercial botanical insecticides and farm products for protection against insects – a review. Plant Prot. Sci. 2016;52:229–241. [Google Scholar]
  55. Perret C., Wolfender J.L., Hostettmann K. LC/ES-MS analysis of triterpene glycosides: rapid estimation of the saponin content of dried berries of Phytolacca dodecandra. Phytochem. Anal. 1999;10(5):272–278. [Google Scholar]
  56. Pombi M., Guelbeogo W.M., Kreppel K., Calzetta M., Traoré A., Sanou A., Ranson H., Ferguson H.M., Sagnon N.F., Torre A.D. The Sticky Resting Box, a new tool for studying resting behaviour of Afrotropical malaria vectors. Par. Vect. 2014;7(1):247. doi: 10.1186/1756-3305-7-247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Ramkumar G., Karthi S., Muthusamy R., Suganya P., Natarajan D., Kweka E.J., Shivakumar M.S. Mosquitocidal Effect of Glycosmispentaphylla Leaf Extracts against Three Mosquito Species (Diptera: Culicidae) PLoS ONE. 2016;11(7) doi: 10.1371/journal.pone.0158088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Rapley L.P., Johnson P.H., Williams C.R., Silcock R.M., Larkman M., Long S.A., Russell R.C., Ritchie S.A. A lethal ovitrap-based mass trapping scheme for dengue control in Australia: II. Impact on populations of the mosquito Aedesaegypti. Med. Vet. Ento. 2009;23:303–316. doi: 10.1111/j.1365-2915.2009.00834.x. [DOI] [PubMed] [Google Scholar]
  59. Rebollar-Téllez E.A. Human body odor, mosquito bites and the risk of disease transmission. Folia Ento. Mex. 2005;44(2):247–265. [Google Scholar]
  60. Saravi, S.S.S., Shokrzadeh, M., 2011. Role of pesticides in human life in the modern age: A review. In Pesticides in the Modern World—Risks and Benefits; Stoytcheva, M. (Ed.), Intech Open: Rijeka, Croatia. 3 –12.
  61. Service M.W. A critical review of procedures for sampling populations of adult mosquitoes. Bull. Ento. Res. 1977;67:343–382. [Google Scholar]
  62. Service, M.W., 1993. Mosquito ecology field sampling methods. 2nd edition. London. UK: Elsevier Appl. Sci. Mal. J. 8, 149.
  63. Silver, J.B., Service, M.W., 2008. Mosquito Ecology: Field Sampling Methods. Springer, London.
  64. Singh B., Kaur A. Control of insect pest in crop plants and stored food grains using plant saponins: A review. LWT Food Sci. Tech. 2018;87:93–101. [Google Scholar]
  65. Sriwichai P., Karl S., Samung Y., Sumruayphol S., Kiattibutr K., Payakkapol A., Mueller I., Yan G., Cui L., Sattabongkot J. Evaluation of CDC light traps for mosquito surveillance in a malaria endemic area on the Thai-Myanmar border. Par. Vect. 2015;8:636. doi: 10.1186/s13071-015-1225-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Tainchum K., Kongmee M., Manguin S., Bangs M.J., Chareonviriyaphap T. Anopheles species diversity and distribution of the malaria vectors of Thailand. Trends Par. 2015;31(3):109–119. doi: 10.1016/j.pt.2015.01.004. [DOI] [PubMed] [Google Scholar]
  67. Takken W., Knols B.G. Odor-mediated behavior of Afrotropical malaria mosquitoes. Ann. Rev. Ento. 1999;44:131–157. doi: 10.1146/annurev.ento.44.1.131. [DOI] [PubMed] [Google Scholar]
  68. Verhulst N.O., Qiu Y.T., Beijleveld H., Maliepaard C., Knights D., Schulz S., Berg-Lyons D., Lauber C.L., Verduijn W., Haasnoot G.W., Mumm R., Bouwmeester H.J., Claas F.H.J., Dicke M., van Loon J.J.A., Takken W., Knight R., Smallegange R.C. Composition of human skin microbiota affects attractiveness to malaria mosquitoes. PLoS ONE. 2011;6:e28991. doi: 10.1371/journal.pone.0028991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Wannang N.N., Ajayi V.F., Ior L.D., Dapar L.M.P., Okwori V.A., Ohemu T. Mosquito Repellant Property of Azadirachta indica Extract (Fruit Bark and Seed Kernel) Sci. Res. J. 2015;3(4):1–4. [Google Scholar]
  70. Weissenböck H., Hubálek Z., Bakonyi T., Nowotny N. Zoonotic mosquito-borne flaviviruses: Worldwide presence of agents with proven pathogenicity and potential candidates of future emerging diseases. Vet. Mic. 2010;140(3):271–280. doi: 10.1016/j.vetmic.2009.08.025. [DOI] [PubMed] [Google Scholar]
  71. WHO . World Health Organization; Geneva: 2003. Malaria Entomology and Vector Control: Learner’s Guide. [Google Scholar]
  72. WHO, 2006. Guidelines for testing mosquito adulticides for indoor residual spraying and treatment of mosquito nets, WHO/CDS/NTD/WHOPES/GCDPP/2006.3.
  73. WHO, 2009. Handbook: Good laboratory practice (GLP). Quality Practices for Regulated Non-clinical Research and development. second ed. Geneva: World Health Organization; 2009 (https://www.who.int/tdr/publications/documents/glp-handbook.pdf, accessed 20 April 2020).
  74. WHO, 2015. Global technical strategy for malaria 2016–2030. 2015. http://apps.who.int/iris/bitstream/10665/176712/1/9789241564991_eng.pdf?ua=1 (Accessed 21/4/2020).
  75. WHO . World Health Organization; Geneva: 2017. Global Vector Control Response 2017–2030. [Google Scholar]
  76. WHO, 2018a. Efficacy-Testing of Traps for Control of Aedes Spp. Mosquito Vectors. WHO/CDS/NTD/VEM/2018.06.
  77. WHO, 2018b. Malaria surveillance, monitoring & evaluation: a reference manual. 2018. http://www.who.int/malaria/publications/atoz/9789241565578/en/ (Accessed 21/4/2020).
  78. Wilke A.B.B., Marrelli M.T. Paratransgenesis: A promising new strategy for mosquito vector control. Par. Vect. 2015;8:1. doi: 10.1186/s13071-015-0959-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Yugi J.O., Okeyo-Owour J.B., Atieli F., Amito R., Vulule J.M. Knockdown effect of crude ethanol extracts of Phytolaccadodecandraon Anopheles gambiaeadults. J. Mosq. Res. 2014;4(18):1–7. [Google Scholar]
  80. Yugi J.O., Okeyo-Owour J.B., Omondi D.O. Adulticidal effect of crude ethanol extract of Phytolaccadodecandraon Anopheles gambiae. J. Mosq. Res. 2016;6(1):1–5. [Google Scholar]
  81. Yugi J.O., Okeyo-Owuor J.B., Auma C.A., Juma J.I., Vulule J.M. Larviciding potency of water and ethanol extracts of Phytolacca dodecandra (L’ Herit) on Anopheles gambiae (Diptera: Culicidae) J. Mos. Res. 2015;5(2):1–6. [Google Scholar]
  82. Zeleke A.J., Shimo B.A., Gebre D.Y. Larvicidal effect of Endod (Phytolacca dodecandra) seed products against Anopheles arabiensis (Diptera: Culicidae) in Ethiopia. BMC Res. Notes. 2017;10:449. doi: 10.1186/s13104-017-2792-5. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Saudi Journal of Biological Sciences are provided here courtesy of Elsevier

RESOURCES