Background
Various factors like host preference, resting and feeding behaviour, adult longevity and density, human biting rate and host location strategy influence the role of mosquitoes in malaria transmission [
1]. The state of Tamil Nadu had 8714 malaria cases in 2014, of which 337 (3.86%) were
Plasmodium falciparum and the remaining 8377 (96.13%)
P. vivax [
2]. Almost 70% of the malaria cases recorded in Tamil Nadu occur in Chennai [
3]. Malaria is endemic in Chennai, transmitted by the urban vector,
Anopheles stephensi, which breeds predominantly in overhead tanks besides, other water storage habitats [
4], and lesser examined rain fed clear water habitats. The transmission is unstable, but perennial with seasonal peaks mainly in July to August and then from October to November [
5]. The present study was done as a part of the project on ‘Center for the Study of Complex Malaria in India’ (CSCMi) where transmission dynamics (micro environmental profile, immature and adult vector density, host, resting and breeding preferences of the vector mosquitoes) and eco-epidemiology of malaria (clinic study to investigate the impact of complex malaria on disease outcome in symptomatic individuals and community study to determine the incidence and prevalence rate of complex malaria including asymptomatic malaria) in urban transmission settings [
6]. The main objective of this study was to find the feeding and resting preferences of
An. stephensi and its transmission potential in a malaria endemic area of Chennai with perennial transmission.
Results
The adult vectors (An. stephensi) were predominantly found resting in cattle sheds that were in close proximity (<5 metres distance and often with shared walls) to human dwellings. Fewer mosquitoes (both in terms of absolute numbers and frequency of structure types found positive) were collected from human dwellings. The adult vector density was relatively stable across the year, though with a maximum count observed during the first fortnight of June.
Mosquitoes were found in all types of cattle sheds (i.e., whether they were asbestos structures, concrete, thatched, or roofless sites with concrete walls). On the other hand, in 245 surveys of human dwellings, anopheline mosquitoes were rarely found and these tended to be encountered in thatched structures as opposed to tiled or asbestos structures. Among 882 Anopheles specimens collected from cattle sheds, 743 (84.2%) were An. stephensi (all female) and the remaining 139 (15.8%) were An. subpictus and Anopheles vagus. Out of 94 Anopheles species collected from human dwellings, 52 (55.3%) were An. stephensi, 41 (43.6%) An. subpictus and 1 (1.1%) An. vagus. 49 (94.23%) of the An. stephensi collected were from thatched structures followed by 2 (3.85%) from tiled structures and the remaining 1 (1.92%) from asbestos roofed house. When the abdominal conditions of the vector mosquitoes collected were examined, it was found that, among the mosquitoes collected from cattle sheds, 5.7% were unfed, 6% freshly fed, 76.2% of late-fed stage, 9% semi-gravid and the rest 3.1% gravid. Interestingly, 88.3% of the vectors found to be resting were late stage fed, semi gravid and gravid stages, while 11.7% were feeding stages (unfed and freshly fed). Similarly in human dwellings, 88.5% were late stage fed, semi gravid and gravid, while 11.5% were feeding stages. The freshly fed females were collected while they were feeding on cattle. The resting stage of vector mosquitoes were 7.5 times more than the feeding stages.
Host-seeking preference of vector mosquitoes
Blood meal analysis was done using counter-current immunoelectrophoresis technique and the results are depicted in Table
2. Among the vector mosquitoes collected during 2014, 530 mosquitoes from cattle sheds and 18 from human dwellings were analysed for origin of their blood meal. Of 548 samples, 518 (94.5%) had bovine blood meal while only five were positive for human blood (four from human dwellings). Blood meal origin of 25 samples was unknown and the Human Blood Index (HBI) was 0.009. In contrast, Bovine Blood Index (BBI) was 0.95.
Table 2
Host seeking preference, Plasmodium vivax and Plasmodium falciparum infectivity of Anopheles stephensi
Cattle sheds | 530 | 518 | 1 | 0 | 11 | 720 | 3 (0.4) | 0 (0.0) | 1 (0.1) |
Human dwellings | 18 | 0 | 4 | 0 | 14 | 52 | 1 (1.9) | 0 (0.0) | 0 (0.0) |
Total | 548 | 518 | 5 | 0 | 25 | 772 | 4 (0.5) | 0 (0.0) | 1 (0.1) |
Age structure and malaria parasite infection in vector mosquitoes
About 200 females were dissected to check the presence of oocysts and sporozoites besides, age structure. None of them were found to harbor oocysts and sporozoite infections. Further, when the parity was checked, 57.75% of the dissected vectors were nulliparous, whereas, 35.83% were monoparous and 6.42% biparous. Cattle shed and household mosquito samples were processed for sporozoite detection by CS-ELISA and the results are shown in Table
2. A total of 772 samples collected during 2014 (720 from cattle sheds and 52 from households) were analysed for vector incrimination. Of these, five were found to be infected with the malaria parasites (four
P. vivax 210 infected—three from cattle sheds and one from human dwelling) and one
P. falciparum infected (collected from cattle shed). Sporozoite positivity rate was 0.648 and 1.92% of
An. stephensi collected from human dwellings were infected. The
P.
falciparum infected mosquito sample was collected during February 2014 whereas,
P. vivax infected samples were obtained during October, November and December. However,
P. vivax infected sample from human dwelling was collected during March 2014. Furthermore, 135
An. subpictus samples collected during the study period were subjected to vector incrimination using CS-ELISA and one
P. falciparum infection was detected.
Discussion
In the present study, vectors were more abundant in outdoor structures (cattle sheds) than human dwellings. Wherever mosquitoes were found indoors, there appeared to be a preference for thatched structures, possibly due to the availability of eaves and crevices, which provide suitable/preferential hideouts and conducive humidity [
13,
14]. Previous studies in Sri Lanka, Tanzania and Gambia, revealed poor housing similar to thatched structures to be associated with increased entry and resting of mosquitoes with high malaria incidences [
13]. In addition, thatched structures mainly belong to households with low socio-economic status and these households tend to use fewer repellents against nuisance mosquitoes. Use of repellents has been associated with less malaria in a clinic study carried out in Chennai [
15].
Abundance of vectors in cattle sheds confirms the previous finding of
An. stephensi that, it prefers animal sheds for feeding besides, resting in Chennai [
16‐
18]. It was observed that 96.77% of the cattle sheds were with shared walls (<5 metres distance) from the nearest human dwelling. The proximity of the cattle sheds to human dwellings indicates, even though the human host was so close, the mosquitoes perhaps were lured to cattle/animals for their blood meal as there was no repellent or any mosquito prevention method and therefore, the animals were easily bitten by vector mosquitoes. This was reflected in the blood meal analysis, which showed the vector mosquitoes preferring animal blood. The results of the blood meal analysis indicated the selective preference of vectors on animal blood as the mosquitoes preferred the cattle population, even though human hosts were abundant when compared to the former [
19]. However, studies carried out in Iran reported endophagic and endophilic behaviour of
An. stephensi [
20].
Further, the human blood meal samples collected from cattle sheds, support the previous reports that, after feeding on human blood,
An. stephensi used animal sheds for resting which would help in completing its gonotrophic cycle [
17]. Four of the five infected mosquitoes were collected from cattle sheds/outdoors. In the present study, it is assumed that
An. stephensi selected cattle sheds as foraging and as an ideal resting habitat. The density of resting adults was low, which is the same elsewhere in many urban cities/towns in India [
4,
21,
22].
The sporozoite positivity rate observed was very low despite perennial transmission of malaria over a period of time. This might be due to the incomplete knowledge of resting preferences [
23,
24], which means the current study probably underestimates the density of infectious mosquitoes. However, the relatively low infectivity rate in the mosquitoes could also be due to the fact that this area has a moderate to low transmission rate, or the infected mosquitoes undergo enhanced mortality [
25‐
28]. The parity analysis supported the fact that, survival of the adult mosquitoes in the study area was limited. This was in line with studies carried out elsewhere that only 10% of the adult population survives to the epidemiologically relevant age [
29,
30]. In Solomon Islands,
P. falciparum was detected from 15.2% of 1-parous
Anopheles farauti mosquitoes, using PCR detection method [
31]. Another study in Benin showed that, the infected females were at least of biparous stage of physiological age [
32].
The results of ELISA (Table
2) showed that,
P. falciparum infection was observed in mosquitoes collected during February, and
P. vivax infection in mosquitoes collected during October, November and December. Being a malignant parasite, presence of
P. falciparum in mosquitoes during relatively low transmission season (Fig.
2) underlines the importance of having intense active surveillance irrespective of seasons. However, with such low sample sizes it is difficult to draw any conclusions regarding seasonality or potential links to microclimate data [
23].
Anopheles subpictus infected with malaria parasite is yet another interesting finding as this is the first report of vector incrimination of
An. subpictus from Chennai. In India, sporozoite positive specimens were collected from a coastal village in the state of Tamil Nadu [
33].
Anopheles subpictus was previously believed to be a benign species because of its zoophilic nature, though it was reported to be a vector in Sri Lanka and a secondary vector in Indonesia [
34‐
39] and elsewhere, in Madhya Pradesh [
40], Odisha [
41] and urban area of Goa [
42].
P. falciparum infection in
An. subpictus indicates that it is a competent vector when favourable condition arises. Considering urban malaria, this finding is important as this can pose a real problem in future along with the primary/major vector,
An. stephensi in Chennai.
Limitations
The present study was centered on human dwellings and cattle sheds and the latter was found to be preferred resting place of the local vector. As the current understanding of the other resting preferences are obscure as far as the local vector is concerned, there are chances that the present estimates of vector density and sporozoite rate may underestimate the true picture in Chennai.
Conclusion
The study revealed that adult vectors feed predominantly on cattle and also rest in cattle sheds. The UMS of the national programme focuses on larval source management, by carrying out anti-larval operations in breeding habitats of the urban malaria vectors. This strategy has additional benefits of contributing to Dengue and Chikungunya control as some of these habitats, like cisterns, are co-inhabited by
An. stephensi and
Aedes aegypti [
4]. In rural areas, adult vector surveillance and control with indoor residual spray (IRS) or long lasting insecticidal nets (LLINs) often focus on indoor domestic dwellings. The present study indicated that human dwellings (other than thatched structures) are not the preferred resting sites of the urban malaria vector. Rather, mosquitoes appear to be most readily found resting in cattle sheds and feeding on cattle. A recent theoretical study identified that in areas where residual malaria transmission is sustained by zoophilic vectors, even modest amounts of control that explicitly target these vectors may dramatically reduce transmission [
43]. Therefore, targeting these resting sites with appropriate, cost effective intervention tools that are socio-behaviourally acceptable, coupled with effective larval source management to reduce vector breeding, could create opportunities for improved integrated vector management strategies that will help drive down malaria transmission and assist in India’s plan to eliminate malaria by 2030.
Authors’ contributions
AE designed the experiment with inputs from MBT, JM, MTM and support from NV. ST participated in study design and wrote the manuscript with AE. JAJ and AA performed the vector sampling in the field and ST, SR, AA and JAJ performed laboratory works and contributed to data analysis. All authors read and approved the final manuscript.