Characteristics of Aedes aegypti adult mosquitoes in rural and urban areas of western and coastal Kenya.

Aedes aegypti is the main vector for yellow fever, dengue, chikungunya and Zika viruses. Recent outbreaks of dengue and chikungunya have been reported in Kenya. Presence and abundance of this vector is associated with the risk for the occurrence and transmission of these diseases. This study aimed to characterize the presence and abundance of Ae. aegypti adult mosquitoes from rural and urban sites in western and coastal regions of Kenya. Presence and abundance of Ae. aegypti adult mosquitoes were determined indoors and outdoors in two western (urban Kisumu and rural Chulaimbo) and two coastal (urban Ukunda and rural Msambweni) sites in Kenya. Sampling was performed using quarterly human landing catches, monthly Prokopack automated aspirators and monthly Biogents-sentinel traps. A total of 2,229 adult Ae. aegypti mosquitoes were collected: 785 (35.2%) by human landing catches, 459 (20.6%) by Prokopack aspiration and 985 (44.2%) by Biogents-sentinel traps. About three times as many Ae. aegypti mosquitoes were collected in urban than rural sites (1,650 versus 579). Comparable numbers were collected in western (1,196) and coastal (1,033) sites. Over 80% were collected outdoors through human landing catches and Prokopack aspiration. The probability of collecting Ae. aegypti mosquitoes by human landing catches was significantly higher in the afternoon than morning hours (P<0.001), outdoors than indoors (P<0.001) and in urban than rural sites (P = 0.008). Significantly more Ae. aegypti mosquitoes were collected using Prokopack aspiration outdoors than indoors (P<0.001) and in urban than rural areas (P<0.001). Significantly more mosquitoes were collected using Biogents-sentinel traps in urban than rural areas (P = 0.008) and in western than coastal sites (P = 0.006). The probability of exposure to Ae. aegypti bites was highest in urban areas, outdoors and in the afternoon hours. These characteristics have major implications for the possible transmission of arboviral diseases and for the planning of surveillance and control programs.

Introduction

Aedes aegypti is an important vector of arboviruses, which include yellow fever, dengue, chikungunya and Zika viruses [1-4]. This vector originated in Africa [5], spread to other continents through trade [6] and now is distributed worldwide [7]. Originally a tree-hole forest mosquito, its larvae have adapted to develop in human made containers in the urban environment [6]. Aedes aegypti feeds preferentially and frequently on humans [8,9]. Dispersal of its females is mainly determined by the availability of oviposition sites [10]. In most cases Ae. aegypti mosquitoes do not move from houses where they have been released and for those few that move, their dispersal distances may not exceed 200 meters [11]. Adult Ae. aegypti mosquitoes feed often and multiple feedings are common [12]. An increase in the number of Ae. aegypti adult mosquitoes has been associated with an increased probability of the occurrence of arboviral diseases [13,14]. Aedes aegypti mosquitoes show a range of color and pattern of scaling, choice for blood meal source, egg dormancy period, choice for oviposition/larval sites, aquatic development time periods and competence to vector viruses [6].

Aedes aegypti is widespread in Kenya, although it has not been studied extensively, and its distribution is not uniform, being most common in the lowlands [15]. It exists in two forms, domestic and sylvatic, which have been found in sympatry along the Kenyan coast at Rabai [6]. The domestic form, Ae. aegypti aegypti is light colored and the sylvatic form, Ae. aegypti formosus is dark. Aedes aegypti formosus occurs in vegetated ecosystems and has been documented in western Kenya near Kisumu City and in Kakamega Forest [16]. In a study in the coastal town of Malindi, Ae. aegypti mosquitoes were found inside houses [17], while in a recent study in the major coastal city of Mombasa most Ae. aegypti were found outdoors [18].

Transmission of arboviruses by Ae. aegypti occurs across Kenya [19,20]. Dengue and chikungunya infections continue to occur in areas where no epidemics have been reported as in western Kenya and between known epidemics in the coastal and north-eastern areas of the country [20-27]. Recent outbreaks reported in Kenya include dengue in Mombasa in 2013 [28] and in 2017 [29] and chikungunya in Mandera in 2016 [30]. As part of a larger on-going eco-epidemiological study (NIH R01 AI102918), this study aimed to characterize the presence and abundance of Ae. aegypti adult mosquitoes from rural and urban sites in western and coastal regions of Kenya.

Materials and methods

Study site

This study was conducted in four sites in Kenya: two western sites, Kisumu urban site (0°5′15.22478′′S, 34°46′22.3284′′E, altitude 1186 meters above sea level (m.a.s.l.)) and Chulaimbo rural site (0°2′17.2500′′S, 34°38′18.1998′′E, altitude 1372 m.a.s.l.) in Kisumu County and two coastal sites, Ukunda urban site (4°16′38.8992″S, 39°34′9.0012″E, altitude 23 m.a.s.l.) and Msambweni rural site (4°27′58.4382″S, 39°28′17.8716″E, altitude 20 m.a.s.l.) in Kwale County (Fig 1).

Fig 1

Study site map.

A map showing the four study areas: Kisumu, Chulaimbo, Ukunda and Msambweni.

Urban describes geographic areas that are located inside towns and cities whereas rural describes geographic areas that are located outside towns and cities, usually less developed with significant land cover under agriculture and/or natural vegetation. Kisumu is the third largest city in Kenya located near the shores of Lake Victoria. It is the headquarters of Kisumu County and a business hub for the East African Community. Chulaimbo area is located 19 kilometers from Kisumu along the Kisumu–Busia Road. Ukunda is an emerging urban centre located 30 kilometers south of Mombasa in Kwale County along the Indian Ocean coastline. Diani Beach, a famous tourist destination, is located one kilometer from Ukunda Town. Msambweni is also in Kwale County, near the shores of the Indian Ocean. It is located 30 kilometers south of Ukunda. The climate in both regions is tropical with bimodal rainfall: long rains from March to June and short rains from August to October. Common mosquito-borne diseases in these counties include arboviruses, malaria and lymphatic filariasis. Sampling for Ae. aegypti mosquitoes in each of the four sites was done in a selected area of 1.5 x 1.0 kilometers.

Human landing catches (HLC)

Two homesteads were selected in each of the four sites for sampling of Ae. aegypti mosquitoes using HLC. Adults (≥18 years old), who resided within the sampling area (assumed to be exposed to similar possible mosquito bites) and who provided written informed consent volunteered to catch mosquitoes by HLC. They were all trained before they started the catching of mosquitoes. Two teams of two people each sampled indoors and outdoors (~3–5 meters from the house). “Outdoors” describes any place outside the doors of the house selected for sampling, round and about it but within the homestead. “Indoors” describes the space within the door(s) of the selected house. Both collectors sat on chairs, with one exposing the legs, and the other collecting mosquitoes landing on the partner’s legs. The team members changed roles hourly. Sampling was conducted in June, September, December and March starting from June 2014 to June 2016 from 5:30 am to 11:30 am in the morning and then from 3:30 pm to 7:30 pm in the afternoon. Mosquitoes collected each hour were put in a pre-labelled plastic cup and provided with 10% sugar solution on cotton wool. All labelled plastic-cups were put in a cooler box with ice pack and then transported to the insectaries at Kenya Medical Research Institute, Centre for Global Health Research station at Kisian in Kisumu County for western sites and at the Vector Borne Disease Control Unit in Msambweni County Hospital, Kwale County for coastal sites. At the end of every HLC exercise, all HLC volunteers were examined for malaria infection by the project clinical officer in each of the four sites. Those who tested malaria positive were treated according to the Kenyan Ministry of Health guidelines. The project paid for all their malaria testing and treatment costs. The project clinical officers checked these volunteers for possible dengue and chikungunya symptoms.

Prokopack automated aspirators

Twenty houses were randomly selected in each of the four sites and sampled indoors and outdoors monthly for Ae. aegypti mosquitoes using Prokopack aspirators [31] (The Prokopack automated aspirators were constructed with local materials under the guidance of one of the inventors). Sampling by a pair of trained entomology team members was conducted simultaneously for 20 minutes both indoors and outdoors. Two plastic cups were used for each house, one indoors and the other outdoors. All labelled plastic-cups were put in a cooler box with ice pack and transported as described above.

Biogents-sentinel traps (BG)

One house was selected in each of the four sites for the sampling of Ae. aegypti mosquitoes using Biogents (BG)-traps (Biogents AG Weissenburgstr 22 93055 Regensburg, Germany). The BG traps were placed in secure verandas and were baited with carbon dioxide (CO2). The CO2 was produced from a mixture of 17.5 grams yeast (Angel Yeast (Egypt) Co. Ltd.), 250 grams sugar in 2 liters of water. In August 2015, these amounts were increased to 35 grams yeast, 500 grams sugar in 5 liters of water in order to produce more CO2. This mixture was replaced on the third day after setting up the experiment. The BG trap was set to sample mosquitoes monthly for five consecutive days. Every day at about midday, the battery was replaced with a charged one. Trapped mosquitoes in the collection net were put in a cooler box daily with ice pack and then transported as described above.

Mosquito identification

In the insectaries, all mosquitoes were killed by placing them at -20 degrees for 15 minutes. They were then sorted by genus (Aedes, Anopheles, Culex, Mansonia or Toxorhynchites) and sex. Females were further sorted according to their blood-feeding stages as unfed, blood-fed, half-gravid or gravid. Aedes mosquitoes were further identified to species using identification keys [32,33] as either Ae. aegypti or Ae. simpsoni. However, we could not further identify Ae. aegypti mosquitoes either as Ae. aegypti aegypti or Ae. aegypti formosus.

Rainfall

One rain gauge (HOBO® Onset data loggers, Onset Computer Corporation 470 Bourne, MA, USA), was installed at a central place in each of the four sites to collect daily rainfall: Chulaimbo County Hospital (Chulaimbo); Jaramogi Oginga Odinga Teaching and Referral Hospital (Kisumu); Msambweni County Hospital (Msambweni) and Diani Health Centre (Ukunda). Data from these rain gauges were downloaded monthly.

Ethical considerations

This study was approved by both Stanford University Institutional Review Board (Protocol ID 31488 and IRB Number 6208) and Kenya Medical Research Institute National Ethical Review Committee (SSC No. 2611). Meetings were held in each Sub-Location at all the four sites with local government administrators (county commissioners, chiefs and assistant chiefs) and the local residents to introduce the research study and staff to the public. All study participants in this study were adults (≥18 years old). A written and signed consent was obtained from all adults who volunteered to participate in HLC before they were trained and started sampling for mosquitoes. A copy of the signed consent form was given to each of the HLC volunteer and another kept in a locked cabinet with restricted access in offices at Kenya Medical Research Institute, Centre for Global Health Research station at Kisian in Kisumu County and at the Vector Borne Disease Control Unit in Msambweni County Hospital, Kwale County. Verbal consent was obtained from household heads to sample mosquitoes in their houses and compounds.

Data analysis

Monthly totals of Ae. aegypti were used in all analyses for the mosquitoes collected by Prokopack aspirators and BG traps whereas quarterly totals were used for those collected by HLC. Statistical differences in the monthly densities of Ae. aegypti mosquitoes in study sites (Chulaimbo/Kisumu/Msambweni/Ukunda), rural/urban areas, western/coastal sites, indoors/outdoors, rainfall and different periods of sampling in the morning/afternoon (for HLC) were performed using generalized estimating equations (GEE) on count data that were fitted with a negative binomial distribution with a log link function. Univariate analysis was done for each of the mosquito sampling methods separately. Parameters with P≤0.25 in the univariate analysis were included in multivariate analysis. Any parameter that was set to zero because it was redundant was omitted from the final multivariate analysis. Prokopack aspiration and HLC data collected in the same period, from 1st June 2014 to 30th June 2016, were used in this analysis. BG data used in the analysis were collected from 1st May 2015 to 30th June 2016. Data were analysed using Statistical Package for Social Sciences (SPSS) Version 21.

Results

A total of 785 Ae. aegypti mosquitoes were collected by HLC: 193 indoors and 592 outdoors and 198 in rural sites and 587 in urban sites. The number of Ae. aegypti mosquitoes collected varied among the hours, sites and indoors/outdoors (Fig 2). Period (morning/afternoon) hours (P≤0.001), collection (indoors/outdoors) (P≤0.001), site (Chulaimbo/Kisumu/Msambweni/Ukunda) (P≤0.001) and place (rural/urban) (P = 0.002) were statistically significant by univariate analysis whereas region (western/coastal) (P = 0.071) and rainfall (P = 0.905) were not significant. The chances of finding Ae. aegypti mosquitoes by HLC were significantly higher in the afternoon hours than in the morning, outdoors than indoors and in the urban than rural areas (Table 1).

Fig 2

Mean numbers + 95% confidence interval (CI) of Aedes aegypti mosquitoes collected hourly by human landing catches.

Table 1

Parameters associated with the abundance of Aedes aegypti mosquitoes collected by human landing catches, Prokopack aspirators and Bio-Gents sentinel traps.

Method	Parameter	Occasions (N)	Mean (95% CI)	Odds Ratio (95% CI)	P-value
HLC	Period
	Afternoon	290	1.8 (1.4–2.2)	3.0 (1.7–5.4)	<0.001
	Morning	430	0.6 (0.5–0.8)	1.0
	Collection
	Outdoors	360	1.6 (1.3–2.0)	2.7 (1.8–4.2)	<0.001
	Indoors	360	0.5 (0.3–0.8)	1.0
	Place
	Urban	360	1.6 (1.3–2.0)	2.9 (1.3–6.3)	0.008
	Rural	360	0.6 (0.3–0.8)	1.0
	Region
	Coastal	360	1.5 (1.1–1.9)	2.0 (0.9–4.4)	0.087
	Western	360	0.7 (0.5–0.9)	1.0
Prokopack	Collection
	Outdoors	100	4.1 (3.1–5.1)	8.0 (5.7–11.3)	<0.001
	Indoors	100	0.5 (0.3–0.7)	1.0
	Place
	Urban	100	3.5 (2.5–4.5)	3.4 (2.5–4.8)	<0.001
	Rural	100	1.1 (0.7–1.6)	1.0
	Rainfall	200	107.9 (94.6–121.1)	1.0 (1.0–1.0)	0.121
BG	Place
	Urban	28	25.5 (15.7–35.3)	1.8 (1.2–2.9)	0.008
	Rural	28	9.7 (6.8–12.6)	1.0
	Region
	Coastal	28	10.4 (7.1–13.8)	0.5 (0.3–0.8)	0.006
	Western	28	24.8 (15.0–34.5)	1.0
	Rainfall	56	119.1 (89.8–148.3)	1.0 (1.0–1.0)	0.046

A total of 459 Ae. aegypti mosquitoes were collected by Prokopack aspirators: 52 indoors and 407 outdoors and 110 in rural sites and 349 in the urban sites. The number of Ae. aegypti mosquitoes collected varied by month, indoors/outdoors and among the sites (Fig 3). Collection (indoors/outdoors) (P≤0.001), site (Chulaimbo/Kisumu/Msambweni/Ukunda) (P≤0.001) and place (rural/urban) (P≤0.001) were statistically significant by univariate analysis whereas region (western/coastal) (P = 0.295) and rainfall (P = 0.190) were not significant. The chances of finding Ae. aegypti mosquitoes by Prokopack aspirators were significantly higher outdoors than indoors and in the urban than the rural areas (Table 1).

Fig 3

Mean numbers + 95% CI of Aedes aegypti mosquitoes collected by Prokopack aspirators.

A total of 985 Ae. aegypti mosquitoes were collected using BG-sentinel traps: 271 in rural sites and 714 in urban sites. The number of Ae. aegypti mosquitoes collected varied by month, indoors/outdoors and among the sites (Fig 4). Site (Chulaimbo/Kisumu/Msambweni/Ukunda) (P≤0.001), place (rural/urban) (P≤0.001), region (western/coastal) (P = 0.001) and rainfall P≤0.001) were statistically significant by univariate analysis. The chances of finding Ae. aegypti mosquitoes by BG traps were significantly higher in the urban than the rural areas, in western than coastal sites and significantly increased with increase in rainfall (Table 1).

Fig 4

Mean numbers + 95% CI of Aedes aegypti mosquitoes collected by Bio-Gents sentinel trap.

Mosquitoes collected

A total of 2,229 Ae. aegypti mosquitoes were collected using all the three methods: 579 in the rural sites and 1,650 in the urban sites. The total number of Ae. aegypti mosquitoes collected in the urban sites was 2.8 times that collected in the rural sites and comparable between the western (1,196) and coastal (1,033) sites. Out of the 1,244 Ae. aegypti mosquitoes that were collected by HLC and Prokopack methods, 80.3% (999/1,244) were collected outdoors. Out of the 459 Ae. aegypti mosquitoes collected by the Prokopack method, 76.7% (352) were females, of which 68.0% (312) were unfed, 5.0% (23) were blood-fed, 1.1% (6) were half-gravid and 2.6% (12) were gravid. A total of 39,172 other mosquitoes were collected: HLC (3,461), Prokopack (19,640) and BG (16,071). They included: 68 Ae. simpsoni, 1,259 An. gambiae s.l., 56 An. funestus s.l., 1 An. coustani, 37,777 Culex spp., 8 Mansonia spp. and 3 Toxorhynchites spp.

Discussion

There is high possibility that the abundance and distribution of Ae. aegypti may increase in Africa as this continent is undergoing a rapid urbanization with a projection that over half of its population will be living in urban areas by 2050 [34]. The finding that more Ae. aegypti adult mosquitoes were collected in urban than rural areas is consistent with the adaptation of this species to the domestic environment as its abundance is positively correlated with increasing urbanization [6,35-38]. The fact that Africa’s urbanization is occurring at low levels of income and with far less infrastructural development, notably unreliable water supply and disposal of solid container wastes [39], suggest that the spread of Ae. aegypti may be greatly enhanced in future years.

The collection of more Ae. aegypti adult mosquitoes outdoors than indoors in all the four sites is consistent with other studies in Kenya [16,40], in Trinidad [41], in Malaysia [36,42] and in Brazil [43]. This is mainly because it has adapted to breed in a wide range of artificial containers that are mostly located outdoors around human dwellings [44,45]. Water storage containers constitute the main Ae. aegypti breeding habitats, especially those that remain undisturbed for several days [46]. This is usually a response by residents to unreliable rainfall and water supplies. Another adaptation is that female Ae. aegypti mosquitoes have developed a preference for human blood over that of other animals [47,48]. Hence, readily available breeding habitats and blood meal sources within the human surroundings makes Ae. aegypti adult mosquitoes to disperse short distances [10,11].

Aedes aegypti mosquitoes are known to bite during the daytime hours. However, their blood meal seeking activities were found by HLC to be highest in the morning and afternoon hours. This bimodal blood meal seeking behavior is similar to the findings obtained in Trinidad by Chadee [49]. Significantly more Ae. aegypti mosquitoes were collected in the afternoon than morning hours indicating the possibility that most of the human-vector contact is occurring in the afternoon hours. This finding is consistent with the experimental results by Gouck and Smith [50] but inconsistent with the findings by Strauss and others [51] who found no significant difference in the number of Ae. aegypti mosquitoes that fed at different times of the day. High multiple-feeding rates on humans and the ability to feed on community visitors, especially those visiting in the afternoon hours, makes Ae. aegypti an efficient vector to transmit and rapidly spread arboviral diseases within and among villages [12].

These Ae. aegypti adaptations have major implications for the possible transmission of diseases and for the planning of surveillance and control programs. For instance, identifying areas with daytime Ae. aegypti biting activity can cause one to be equipped with personal protective measures like repellents [52-55] in order to prevent or minimize chances of being bitten. If not very necessary, visiting such places can be avoided at all [55]. Public places, such as schools, where children spend much of the daytime can be prioritized for surveillance and for control measures which may include larval source reduction and fumigation [55,56]. Fumigation can be planned to coincide with peaks in landing periodicity of the Ae. aegypti adults in the morning and afternoon [49], but most preferably in the afternoon to evening hours. Evidence supports cleaning up the environment to be effective to prevent the spread of arboviral disease by Ae. aegypti [57,58]. Such clean-up activities can be maintained year-round in order to keep Ae. aegypti mosquitoes under control. Surveillance teams can target areas outside the home to monitor whether they may be possible sources of disease outbreaks. It is important to note that currently there are no any control methods against Ae. aegypti mosquitoes done by either the national or county governments in Kenya. However, some individuals may be using mainly commercially available aerosols to control these mosquitoes at household levels.

A number of limitations were noted during the implementation of this study. Only one BG trap was set per site as its cost was limiting to acquire more. HLC sampling was conducted from 5:30 am to 11:30 am and then from 3:30 pm to 7:30 pm. There is a possibility that Ae. aegypti adult mosquitoes were missed before 5:30 am, between 11:30 am and 3:30 pm and after 7:30 pm. Further identification of Ae. aegypti mosquitoes to either as Ae. aegypti aegypti or Ae. aegypti formosus could not be logistically performed within the scope of this study.

In conclusion, most of the Ae. aegypti adult mosquitoes were collected in urban areas, outdoors and in the afternoon hours in our western and coastal Kenya sites. These Ae. aegypti characteristics have major implications for the possible transmission of arboviral diseases and for the planning of surveillance and control programs.23

This database contains a description of codes, Aedes aegypti human landing catches and rainfall data, Aedes aegypti Prokopack automated aspirator and rainfall data, Aedes aegypti Biogents-sentinel traps and rainfall data, Aedes aegypti Prokopack automated aspirator blood-feeding stages data and other mosquito species data used.

(XLSX)

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