A Study on the Bionomics of Primary Malaria Vectors <i>Anopheles minimus</i> and <i>Anopheles baimaii</i> in Some States of North East Region of India

Khan, Siraj Ahmed; Sarmah, Biplob; Bhattacharyya, Dibya Ranjan; Raghavendra, Kamaraju; Rahi, Manju; Dutta, Prafulla

doi:https://doi.org/10.1155/2023/9946754

Journal of Tropical Medicine

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Abstract Introduction Methods and Materials Results Discussion Conclusion Data Availability Conflicts of Interest Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2023 | Article ID 9946754 | https://doi.org/10.1155/2023/9946754

A Study on the Bionomics of Primary Malaria Vectors Anopheles minimus and Anopheles baimaii in Some States of North East Region of India

Siraj Ahmed Khan,¹Biplob Sarmah,^1,2Dibya Ranjan Bhattacharyya,¹Kamaraju Raghavendra,³Manju Rahi,⁴and Prafulla Dutta¹

Academic Editor: Rajib Chowdhury

Received03 Mar 2023

Revised29 May 2023

Accepted05 Jun 2023

Published30 Jun 2023

Abstract

Northeast region (NER) states of India remain highly malarious due to their geographical and ecotype diversity. Furthermore, rapid urbanization and change in climate are also affecting the vector biology and behavior of the existing species. Hence, a study is conducted in the states of Tripura and Meghalaya to generate data on the bionomics of the prevalent malaria vector species. The data from this study show that primary vectors of malaria An. minimus and An. baimaii were anthropophagic. However, An. baimaii showed a behavioral shift towards zoophagicity (∼14%). Insecticide bioassays confirm that these two major vector species are reportedly susceptible to DDT, Malathion, and indicate that intervention by DDT-IRS is effective. Thus, the implementation of appropriate strategies based on this recent information on the bionomics of malaria vectors in NE region of India will provide an opportunity to achieve malaria elimination by date in these states.

1. Introduction

Malaria in India contributes to around 70% of malaria cases and 69% of malaria deaths annually in the South-East Asia Region [1]. Malaria control in India is complex due to the presence of multiple ecotypes and vector systems across the country. In India, 9-10 Anopheles species of reported 58 Anopheline species transmit malaria across the country [2]. Distribution is specific to a given ecotype and hence varied behavior [3] and malaria vector control in India is complex as each species has specific bionomic characteristics [4]. Six reported primary malaria vector species are Anopheles culicifacies, An. fluviatilis, An. stephensi, An. baimaii, An. minimus, and An. sundaicus [2, 5–8]. In the Northeast (NE) region of India, An. baimaii and An. minimus are prominent vector species [9]. An. minimus and An. baimaii are found in the foothill and forest fringe areas of the NE states [10–12]. Vector diversity of the north east region due to its eco-geography and rich biodiversity is different from peninsular India. Three sibling species, namely, An. minimus s.s. (Species A), An. harrisoni (Species C), and An. yaeyamensis (Species E) of An. minimus complex are reported globally [13] and An. minimus s.s. (Species A) is reported from NE states (Arunachal, Assam, Meghalaya, Nagaland, and Tripura state) and Odisha state [14–16]. Anopheles dirus s.l., important malaria vector of NE region [17], is a complex of seven isomorphic species, viz., An. dirus s.s (Species A), An. cracens (Species B), An. scaloni (Species C), An. baimaii (Species D), An. elegans (Species E), An. nemophilius (Species F) and An. takaesagansis. Among them An. dirus s.s (Species A), An. cracens (Species B), An. scaloni (Species C) and An. baimaii (Species D) are established vector species while An. elegans (Species E), An. nemophilius (Species F), and An. takaesagansis are not yet incriminated [18]. Anopheles baimaii is reported to be prevalent in NE India [17, 19] and was observed that An. baimaii supplements the transmission of malaria in the forest fringe area of the NE region during monsoon seasons [20]. Anopheles annularis, a secondary vector, is a complex of five morphologically similar species viz., An. annularis, An. nivipes, An. philippinensis, An. pallidus, and An. schueffneri [21]. Except An. schueffneri, other four species of the group are reported from India [3]. However, differentiation among these species is difficult, especially between An. nivipes and An. philippinensis due to indistinguishable morphological characteristics and hence differentiated using molecular methods based on the ITS2 and D3 genes using polymerase chain reaction-restricted fragment length polymorphism (PCR-RFLP) [22]. Anopheles annularis group is reported as a complex of two cryptic species provisionally designated as species A and species B. Species A was reported to transmit malaria in Assam and Orissa states [21–23]. Species B is not an established vector in India but is considered as vector in some forested eastern states of India, namely, Odisha, Chhattisgarh, and Jharkhand [3, 24].

Insecticide based vector control continues to be the major component for malaria control. During 1950’s, DDT, dieldrin, and Hexachlorocyclohexane (HCH) was sequentially used in vector control program. Malathion was introduced in indoor spraying during the late 1960s; subsequently, dieldrin and HCH were banned for use in public health sprays [1, 25, 43]. Currently, DDT (organochlorine), Malathion (organophosphate) and deltamethrin, cyfluthrin, lambda-cyhalothrin, alpha-cypermethrin, permethrin, and bifenthrin (synthetic pyrethroids) are recommended for the control of malaria vectors in India [1]. Improved tools and strategies like artemisinin-based combination therapy (ACT), rapid diagnostic tests (RDTs), long-lasting insecticidal nets (LLINs), indoor spraying of residual insecticides (IRS), and revision of the National Drug Policy for malaria in 2013 acted as key components in reducing malaria and are still effective [26]. This reduction in malaria cases can be attributed to wide-scale implementation of vector control interventions. However, drug resistance in parasites and resistance in malaria vectors to various classes of insecticides are still threats for the disease control programme [1, 27]. As per the WHO Global report on insecticide resistance in malaria vectors 2010–2016, all the major malaria vectors of WHO regions of Africa, the Americas, South-East Asia, the Eastern Mediterranean, and the Western Pacific were found to be resistant against at least one of the four commonly used insecticide classes: pyrethroids, organochlorines, carbamates, and organophosphates [27]. Use of pyrethroids is prominent for the 2 major vector control interventions, indoor residual sprays (IRS), and longlasting insecticidal nets (LLINs) in all malaria endemic states of India [44]. In NE region, DDT-IRS and pyrethroid-LLINs are in use since the last 2 decades and the species was reported susceptible to both DDT and pyrethroid insecticides [9, 28].

To sustain the gains achieved so far in NE region states, there is a need for the implementation of effective vector control strategies and determine key determinants like biology and bionomical variations of prevalent vector species relevant to transmission dynamics of the disease [29]. Major attributes that have bearing on the success of vector control are biting rhythm and role of outdoor transmission due to changes in vector behavior in view of extensive use of insecticide interventions in addition to existing challenges of multiple insecticide resistance in vectors, sibling species complexes of vectors, etc. Such classified information on bionomic attributes will be of high importance in designing effective vector control strategies [3]. Hence, information on the vector species diversity, bionomics, and their insecticide susceptibility/resistant status is of utmost importance.

In the NE India states, recent information on the bionomics of the prevalent malaria vectors and their role in transmission is lacking and the present study aims to generate information for the development of evidence based sustainable vector control strategy for malaria control. The study is also focused on the possible variations in the behavior of malaria vectors owing to extensive use of insecticide-based interventions in the area that could lead to change in behavior and establish alternate niches such as for outdoor transmission.

2. Methods and Materials

2.1. Study Area

Studies were conducted in selected 2 districts in two Northeastern states viz., Tripura (23.5639°N and 91.6761°E) and Meghalaya (25.4670°N and 91.3662°E). Study area was selected based on the malaria incidence in previous years, 2014–2017. These two states were reportedly of high malaria endemicity among the states of NE region. However, a declining trend in malaria cases and deaths was noticed in the states, relatively more in Tripura state (Table 1).

Entomological surveys were conducted in areas with different ecotypes: plains, hills, and foot hill areas. Two surveys were undertaken during premonsoon and postmonsoon seasons and 3 surveys in peak malaria transmission seasons, during monsoons. During the study period, i.e., August 2017–December 2019, entomological studies were conducted in 16 villages in 4 districts in the two malaria endemic states. Details of the study areas are given in Figures 1 and 2 and Table 2.

Malaria endemic districts, South Tripura and Dhalai, are in the higher malaria receptive state in the NE region. Epidemiological data from 2014 to 2019 showed Tripura contributed 2.56% of the total annual malaria incidence of India (Source: National Centre for Vector Borne Disease Control-NCVBDC). The major population of the state comprises ethnic tribal communities inhabiting remote areas. The terrain is mostly hilly and forested with sparsely distributed population. Annual rainfall range from 2.0 to 2.5 meter and heavy precipitation occur during April–September which coincides with the high malaria transmission period. During the months of March/April and September/October, the climatic conditions remain hot (21–34°C) and humid (70–80%). Thus, the tropical climate favors the breeding, distribution, and longevity of mosquitoes and the transmission of malaria.

Meghalaya state contributes 3.0% of total annual malaria incidence in India (2014–2019) (Source NVBDCP). South Garo Hill and West Garo Hill districts of Meghalaya were selected for the study surveys and these districts reported the highest malaria cases. The major population comprises largely tribal groups living in difficult-to-reach areas of hilly and forested foothill terrain. Major breeding habitats for mosquitoes in plain and foothill areas are waterlogged paddy fields, and shallow irrigation in channels while in forested areas, breeding habitats are water streams, puddles with desiccated leaves, jungle pools, and depressions in the ground including animal footprints in forest areas. Climatic conditions are suitable for the breeding and survival of mosquitoes. Total annual rainfall ranges from 2.5 to 4.5 meters; heavy rainfall occurs from May to September. In some foothill areas, villages are generally affected by flash floods during the rainy seasons. Average temperature ranges from 23-28°C, and relative humidity remains >70%.

2.2. Mosquito Collections

Different methods were employed for the collection of female anopheline species from the study sites viz., hand catch using mouth aspirator and flashlight; CDC-light traps, human baited double net trap (HDN), and pyrethrum spray sheet collection [46, 47]. However, maximum number of mosquitoes was collected by the use of mouth aspirators and the minimum numbers by the use of human baited double bed net trap (HDN). From indoors, maximum mosquitoes could be collected using CDC-light traps. Collections were made indoors in human dwellings, cattle sheds, and pig sty and from outdoors from resting sites such as from thatched roofs (hay), bamboo fencing, wall, and vegetation. Field collections of adult Anopheles mosquitoes were made in morning hours (6.00 to 8.00 am), evening hours (6.00–7.30 pm), and some collections from dusk to dawn (6.00 pm to 6.00 am) using light traps and mouth aspirators. Quantitatively, hand catch densities were expressed as man-hour density (PMHD) calculated using the following formula.

MHD = total mosquitoes collected/number of persons × time spent in hours.

2.3. Morphological Identification

Wild caught female mosquitoes are identified to species based on species specific morphological characteristics [30–32]. The identified mosquitoes were classified as unfed, full-fed; semigravid, and gravid mosquitoes based on the abdominal condition and held separately in plastic cups for processing.

2.4. Sibling Species Identification

Sibling species composition of primary vectors, i.e., An. minimus and An. baimaii, was determined by the molecular methods. Individual mosquitoes were stored in isopropanol after morphological identification and insecticide bioassay. Molecular assay was carried out by isolating the genomic DNA of mosquitoes by DNeasy Blood and Tissue Kits (Qiagen, Germany) as per manufacturer’s instructions. Screening of the samples was performed by PCR using allele specific primers including 28S rDNA gene, ITS2 gene, and mitochondrial COII subunit gene [33–35].

2.5. Host Feeding Preference

Full-fed abdomens were punctured and smeared in FTA® card (Flinders Technology Associates card) and dried. DNA isolated using DNeasy Blood and Tissue Kits (Qiagen, Germany) from the blood smear of FTA card was used as a template for multiplex PCR assay following Kent and Norris protocol [36], to determine the source of blood meal of the vectors and determine host feeding preference.

2.6. Insecticide Susceptibility Test

Field-collected identified mixed-age vector mosquitoes were exposed to WHO prescribed discriminatory concentration of insecticide-impregnated papers and kits following the WHO method [37]. Mosquitoes were exposed to DDT-4.0% and malathion-5.0% impregnated papers in a room maintained at 27 ± 2°C and 60–70% relative humidity both during one-hour exposure period and later for 24 hours holding period. During the surveys, densities of mosquitoes were low and exposures were made in low numbers. As the density of mosquitoes were not sufficient, we conducted only a preliminary study with the available mosquitoes using only 1 replicate (15–20 mosquitoes) for test and control exposure, respectively. From areas having very low vector densities, at least 10–15 mosquitoes per test were used to perform the bioassays. Percent mortality to the given insecticide was calculated from the number of dead and alive mosquitoes at the end of 24 hr holding period using the formula:

Percent Mortality = total number of dead mosquitoes × 100/total number of exposed mosquitoes.

If the mortality in control replicates was between ≥5%and ≤20%, test mortality was corrected using the Abbott’s formula for corrected percent mortality is determined using the formula [48]. If the control mortality exceeds more than 20%, the tests are discarded.where T is the mortality in test replicates and C is the mortality in control replicates.

3. Results

3.1. Breeding Habitat of the Anopheline Mosquitoes

It was observed that different mosquito species preferred different type of habitats for breeding influenced by abiotic conditions such as rainfall, humidity, temperature, pH, presence of the vegetation, and the kinetics of water flow. that act as determinants for their breeding and propagation. The details of habitat-wise larval collection are given in Table 3.

Breeding habitat of 9 Anopheles species were identified including the two primary vectors of malaria, An. baimaii and An. minimus. Preferred breeding habitat of An. baimaii include stagnant water bodies in shady places such as pot-holes, fallen leaves, and depression in the forest areas (e.g., animal foot print and tire tracks), pools in dry streams beds, ground pools, and small water bodies in the deep forested areas including Jhum cultivated hill areas. However, An. minimus breeding sites were found in foothill areas having slow-moving streams with grassy margins or in drains adjacent to rice fields with the perceptible flow of water.

Secondary vectors, An. philippinensis/An. nivipes prefers to breed in stagnant water bodies with vegetation. Other anopheline species, An. annularis, An. vagus, An. kochi, An. splendidus, and An. hyrcanus, breed in almost every possible breeding site with stagnant water. Tropical climate, high humidity, and high to medium rainfall are preferred by these species for breeding and prevalence. Possible breeding sites include paddy fields, ponds, jungle pool, and animal footprints.

3.2. Entomological Survey of the Adult Anopheles Mosquitoes

A total of 1890 Anopheles mosquitoes were collected in the surveys. Indoor collections comprised 30.52% (n = 577) and proportion of outdoor collection 69.48% (n = 1313) of the total collection. From outdoors, 62.90% of mosquitoes were collected using mouth aspirator (n = 826) and 37.09% were collected using CDC light traps (n = 487). From indoors of the total collected 577 mosquitoes, 52.51% were collected using CDC light traps (n = 303), 33.62% were collected using Pyrethrum spray sheet collection (n = 194), and the remaining 13.86% (n = 80) were collected using human baited double bed net traps. During the survey period, the density of the two primary vectors, An. minimus and An. baimaii, was found in low densities and in isolated pockets across the study sites. Anopheles minimus could be collected in 9 out of 16 villages and in less numbers in Meghalaya. However, in both the districts of Tripura, An. minimus were collected predominantly from indoor resting sites in morning collections indicating its strong endophilicity. Overall, 15.42% of An. minimus comprised the total indoor collection of Anopheles mosquitoes. On the other hand, high numbers of An. baimaii were collected from Nilwagre in South Garo Hills and Naurapara in South Tripura. Anopheles baimaii contributed 4.5% proportion of the total indoor collections and 6.16% of the total outdoor collections. High density of An. annularis, An. vagus, and An. hyrcanus was observed in all the four districts of Tripura and Meghalaya while An. splendidus, An. karwari An. varuna, An. kochi, and An. aconitus were found in lesser densities in all the study sites. MHD is given in Figure 3 and Table 4.

In Tripura, density of primary and secondary vector species, i.e., An. minimus, An. baimaii, An. annularis, and An. philippinensis/An. nivipes, and other nonvector species were high in the month of August, i.e., during monsoon seasons. In Meghalaya, the densities of vector and nonvector mosquitoes were high in the month of September. In both the states, the density of mosquitoes decreased substantially during January/February with receding temperature and rainfall (Figures 4 and 5).

Present studies were undertaken in 16 villages in different ecotypes, i.e., plain, foothill, and forested. Anopheles minimus was found in 9 villages in low densities, and overall MHD was, respectively, 0.80 and 0.60. In Tripura and Meghalaya, Anopheles baimaii was collected from 8 of the 16 and only from two villages Nilwagre of Meghalaya and Naurapara of Tripura. Overall MHD was 1.00 and 0.80 in Tripura and Meghalaya, respectively. Increased MHD was found for other anopheline and in all villages, An. hyrcanus (24.20−20.40), An. vagus (25.00−19.40), and An. annularis (29.80−24.20).

3.3. Blood Meal Preference Analysis

From the blood meal collected in the FTA card, DNA was isolated using the Qiagen DBS kit and protocol. Blood meal analysis was performed for the primary vectors: An. minimus and An. baimaii. Multiplex PCR was carried out following Kent and Norris. Blood meal analysis showed that 76.2% to 78.5% of An. minimus (n = 28) and 85.71% of An. baimaii (n = 25) collected during our surveys from various locations were human blood fed, i.e., the species are primarily anthropophagic. Other blood meal sources included bovine, pig, goat, and more than one species. Detail of the analysis is depicted in Figures 6(a) and 6(b).

(a)

(b)

3.4. Sibling Species Composition

Individual mosquito samples were subjected to molecular assay to detect sibling species. Screening for sibling species revealed that only An. baimaii and An. minimus s.s and morphologically similar An. varuna of An. minimus complex were present in study sites in both states. PCR gel image is shown in Figure 7. Diagnostic product fragment size for An. baimaii is 540 bp, An. minimus is 184 bp, An. varuna is 252 bp, and An. jeyporiensis is 346 bp.

(a)

(b)

(c)

3.5. Insecticide Susceptibility Test

Since the density of primary vectors An. baimaii and An. minimus was not adequate to perform tests according to WHO standard guidelines, a study was conducted using the number of available mosquitoes that could be collected. Susceptibility tests for An. minimus were performed against DDT (4%) in Dhalai (Tripura) and South Garo Hill district (Meghalaya). Observed percent knockdown (KD) was 100% in Dhalai district and 60% in South Garo Hills and recorded 100% mortality at the end of 24 h holding period. The KDT₅₀ (median knockdown time) ranged between 33.65 (CI 95%: 25.45–51.99) and 43.06 (95% CI: 32.62–66.36) minutes. The lowest KDT₅₀ being 33.65 and highest KDT₅₀ was 43.06. Similarly, KDT₉₀ ranged between 76.74 (95% CI: 50.43–407.43) and 115.53 minutes (95% CI: 72.11–604.22).

Bioassay against DDT was performed for An. baimaii in Dhalai, South Tripura, and South Garo Hill. Percent knock down of An. baimaii for DDT was found to be 100%. For Malathion, assays were performed in South Garo Hills and South Tripura, percent knock down was 90% in South Garo Hill and 100% in South Tripura. However, the mortality was 100% after 24 hour holding time.

Knock-down assay of An. baimaii for DDT showed that the lowest KDT₅₀ was 23.12 and KDT₉₀ was 43.22 minutes. The assay also showed that the highest KDT₅₀ and KDT₉₀ values were 29.48 and 47.74 minutes, respectively. For Malathion 5%, the KDT₅₀ was observed to be 20.30–22.30 minutes and KDT₉₀ was observed to be 38.75–40.77 minutes.

4. Discussion

Tripura and Meghalaya states, situated in the NE Region of India, are the major contributors of malaria cases in India (NVBDCP data). The population in the study area was predominantly tribal and lives in poor socioeconomic conditions [38] and most of the families live in one room often in mud/bamboo houses. Previous studies suggest that most of the cases are reported from areas in difficult terrains, far away from the primary health centre; a similar observation was also made during this field study [19]. Present studies were undertaken in 16 villages in 2 states: Tripura and Meghalaya, in different ecotypes, i.e., plain, foothill, and forested. Anopheles minimus was found in 9 villages in low densities, and overall MHD was, respectively, 0.80 and 0.60 in Tripura and Meghalaya. Anopheles baimaii was collected form 8 of the 16 villages but could be collected only from two villages Nilwagre of Meghalaya and Naurapara of Tripura. Overall MHD was 1.00 and 0.80 in Tripura and Meghalaya, respectively. Increased MHD was found for other anophelines and in all villages, An. hyrcanus (24.20 − 20.40), An. vagus (25.00 − 19.40), and An. annularis (29.80 − 24.20).

Anopheles minimus breeding is reported to occur in seepage water from irrigation streams [39] paddy fields and shallow water wells [40] and grow normally between 16 and 35°C and avoid ovi-position in polluted waters [41]. The species predominantly breeds during the monsoon season due to the abundance of breeding streams in the foothill areas and also in the winter in low numbers, showing its adaptation to varied environmental conditions [49]. In the present study, An. minimus was found breeding in slow moving streams and showed no association with other Anopheles species. As the flight range of the species is limited, this species was found to be transmitting malaria mainly in the foothill villages in proximity to breeding sites.

In these studies, An. baimaii was found predominantly breeding in natural or man-made depressions on the ground having stagnant water under shade in the forested areas. Unlike An. minimus, An. baimaii was found breeding in association with six Anopheles species, namely, An. vagus, An. jeyporiensis, An. annularis, An. kochi, An. splendidus, and An. hyrcanus. Some of the breeding habitats created in monsoons were found dry by postmonsoon season leading to decrease in number of breeding habitats and consequently decrease in mosquito density.

Members of An. annularis s.s. and An. philippinensis/An. nivipes are reported as the secondary vectors of malaria in the NE region [9, 42]. Generally, densities of the vector mosquitoes as well as nonvector mosquito density were high during monsoon season due to abundance of breeding places and preferable climatic conditions [43]. In the present study, An. annularis s.s. was found in high density throughout the year but peak breeding was observed during monsoon season similar to the finding of previous study. Anopheles annularis s.s. was found to be breeding in a variety of breeding sites with stagnant water. Adult mosquitoes were collected from indoors and outdoors. On the other hand An. philippinensis/An. nivipes were found mostly breeding in paddy fields with grassy margins. Availability of the breeding habitats throughout the year justified its presence in all seasons. Effect of the temperature do not act as a major factor on the availability of vector hence these species were found throughout the year, and during rainy season which is also the peak transmission season, density of these anopheles mosquitoes increases. Previous studies indicate that An. baimaii has been reported from all the states of North-East region, India [19]. Anopheles. bamaii was previously reported to be exophilic in nature and An. minimus to be highly endophilic which is in concurrence to our findings.

Blood meal analysis during the study period confirms the anthropophagic behavior of both the primary vectors, An. minimus and An. baimaii. In this study, shift in the feeding behavior of An. baimaii to zoophagicity was observed with 85.71% anthropophagic compared to 92.3% previously reported [44]. This indicated the possible change in the blood feeding behavior of the species which can be attributed to the vertical pulsation ability, i.e., the ability to feed on alternate host like goat, pig, or cattle other than human host due to changes in the environmental condition described by Dev and Sharma [2]. This change in behavior can be related to the irritability of An. baimaii to insecticides in LLINs and IRS to avoid lethal contact. This change in feeding behavior will be advantageous for the decrease in malaria transmission in view of its reported behavior being both exophagic and exophilic [45].

The investigation was carried out to identify the sibling species of An. minimus complex, of the reported 3 species only An.minimus s.s. (Species A) is found prevalent in NE Region; however, a morphologically similar species, An. varuna was present in the study area. On the other hand, An. baimaii (Species D of the An. dirus complex) is prevalent in the NE Region. However, few identified samples of An. baimaii have shown variation in the molecular assay. PCR assay on the ITS2 gene shows amplification of 850 bp band which resembles the “Species X” of An. dirus complex described earlier [19]. Hence, further investigation is needed to confirm the density, distribution, and role in the transmission of this “unknown” species in the NE region.

Insecticide susceptibility tests on the wild-caught mosquitoes showed that An. minimus and An. baimaii were 100% susceptible to DDT, the insecticide that is in use in IRS. Anopheles minimus, recorded 60–100% knock-down within 1-hour exposure in the study sites while it was 90–100% knock-down in An. baimaii was found to have a percentage in the study sites for the insecticide DDT. This trend in knockdown mortalities indicated increased susceptibility to DDT in An. baimaii. To Malathion, An. baimaii was reported as completely susceptible. The sustained susceptibility to DDT, Malathion, and to pyrethroids (unpublished data) is advantageous for the efficacy of insecticidal interventions in use, IRS, and LLINs.

In view of the eradication goal set by the Asia-Pacific Leaders Malaria Alliance, Malaria Elimination Roadmap, and National Framework for Malaria Elimination in line with the WHO Global Technical Strategy for Malaria 2016–2030 to eliminate malaria by the year 2030, it is pertinent that the gains towards malaria elimination in northeast region be sustained further and implement proactively appropriate strategies for disease elimination.

5. Conclusion

Tripura and Meghalaya are the high malaria prevalence states of NE India. Both An. minimus and An. baimaii showed anthropophagic behavior. However, a slight shift (∼14%) in An. baimaii towards zoophagic behavior is advantageous for impact on decreased transmission of disease. Collection using mouth aspirators yielded maximum number of mosquitoes from Outdoors and maximum from indoors using CDC-Light traps. Insecticide susceptibility tests confirmed these two major vector species are susceptible to DDT and Malathion till date unlike other vector species and indicate their efficacy of ongoing interventions like DDT-IRS. Thus, for sustenance of gains more effective implementation of appropriate strategies based on this recent information on bionomics of the two major malaria vectors in north east region of India will provide good opportunity to achieve malaria elimination by date in majority states in this region.

Data Availability

The datasets of the current study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

The authors would like thank MO, SMO, and health workers of respective districts of the states who supported during field surveys and provided valuable information related to visited places. This research was funded by ICMR, under Grant no. 6/9-7(161)/2017-ECD-II.

References

National framework for malaria elimination in India (2016–2030), “National vector Borne disease control programme,” 2016, https://ncvbdc.mohfw.gov.in/.
View at: Google Scholar
V. Dev and V. P. Sharma, “The dominant mosquito vectors of human malaria in India,” in Anopheles Mosquitoes — New Insights into Malaria Vectors. Croatia, S. Manguin, Ed., Tech, 2013.
View at: Publisher Site | Google Scholar
S. K. Subbarao, N. Nanda, M. Rahi, and K. Raghavendra, “Biology and bionomics of malaria vectors in India: existing information and what more needs to be known for strategizing elimination of malaria,” Malaria Journal, vol. 18, no. 1, p. 396, 2019 Dec 1.
View at: Publisher Site | Google Scholar
M. E. Sinka, M. J. Bangs, S. Manguin et al., “The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis,” Parasites & Vectors, vol. 4, no. 1, p. 89, 2011.
View at: Publisher Site | Google Scholar
M. E. Sinka, M. J. Bangs, S. Manguin et al., “A global map of dominant malaria vectors,” Parasites & Vectors, vol. 5, no. 1, p. 69, 2012.
View at: Publisher Site | Google Scholar
K. Raghavendra, P. S. Velamuri, V. Verma et al., “Temporo-spatial distribution of insecticide-resistance in Indian malaria vectors in the last quarter-century: need for regular resistance monitoring and management,” Journal of Vector Borne Diseases, vol. 54, no. 2, pp. 111–130, 2017.
View at: Google Scholar
P. Dutta, D. R. Bhattacharyya, C. K. Sharma, and L. P. Dutta, “The importance of Anopheles dirus (A. balabacensis) as vector of malaria in north east India,” Indian Journal of Malariology, vol. 26, no. 2, pp. 95–101, 1989.
View at: Google Scholar
P. Dutta and B. D. Baruah, “Incrimination of Anopheles minimus theobald as a vector of malaria in Arunachal Pradesh,” Indian Journal of Malariology, vol. 24, no. 2, pp. 159–162, 1987.
View at: Google Scholar
D. K. Sarma, P. K. Mohapatra, D. R. Bhattacharyya et al., “Malaria in North-East India: importance and implications in the era of elimination,” Microorganisms, vol. 7, no. 12, p. 673, 2019 Dec 10.
View at: Publisher Site | Google Scholar
D. K. Viswanathan, S. Das, and A. V. Oommen, “Malaria carrying anophelines in Assam with special reference to the results of twelve months dissections,” Journal of the Malaria Institute of India, vol. 4, pp. 297–306, 1941.
View at: Google Scholar
V. Dev, V. P. Sharma, and D. Hojai, “Malaria transmission and disease burden in Assam: challenges and opportunities,” Journal of Parasitic Diseases, vol. 33, no. 1-2, pp. 13–22, 2009.
View at: Publisher Site | Google Scholar
A. Prakash, P. K. Mohapatra, D. R. Bhattacharyya et al., “Epidemiology of malaria outbreak (April/May, 1999) in titabor primary health centre, district jorhat (Assam),” Indian Journal of Medical Research, vol. 111, pp. 121–126, 2000.
View at: Google Scholar
S. Sucharit, N. Komalamisra, S. Leemingsawat, C. Apiwathnasorn, and S. Thongrungkiat, “Population genetic studies on the Anopheles minimus complex in Thailand,” Southeast Asian Journal of Tropical Medicine & Public Health, vol. 19, no. 4, pp. 717–723, 1988.
View at: Google Scholar
R. E. Harbach, “The classification of genus Anopheles (Diptera: Culicidae). A working hypothesis of phylogenetic relationships,” Bulletin of Entomological Research, vol. 94, no. 6, pp. 537–553, 2004.
View at: Publisher Site | Google Scholar
R. E. Harbach, E. Parkin, B. Chen, and R. K. Butlin, “Anopheles (Cellia) minimus Theobald (Diptera: Culicidae): neotype designation, characterization, and systematics,” Proceedings of the Entomological Society of Washington, vol. 108, pp. 198–209, 2006.
View at: Google Scholar
P. Somboon, A. Rory, Y. Tsuda, M. Takagi, and R. E. Harbach, “Systematics of Anopheles (Cellia) yaeyamaensissp. n., alias species E of the An. minimus complex of southeastern Asia (Diptera: Culicidae),” Zootaxa, vol. 2651, pp. 43–51.
View at: Google Scholar
O. P. Singh, N. Nanda, V. Dev et al., “Molecular evidence of misidentification of Anopheles minimus as Anopheles fluviatilis in Assam (India),” Acta Tropica, vol. 113, no. 3, pp. 241–244, 2010.
View at: Publisher Site | Google Scholar
M. A. Sallum, E. L. Peyton, and R. C. Wilkerson, “Six new species of the Anopheles leucosphyrusgroup, reinterpretation of An. elegans and vector implications,” Medical and Veterinary Entomology, vol. 19, no. 2, pp. 158–199, 2005.
View at: Publisher Site | Google Scholar
A. Prakash, D. K. Sarma, D. R. Bhattacharyya et al., “Spatial distribution and r-DNA second internal transcribed spacer characterization of Anopheles dirus (Diptera: Culicidae) complex species in north-east India,” Acta Tropica, vol. 114, no. 1, pp. 49–54, 2010.
View at: Publisher Site | Google Scholar
P. Dutta, D. R. Bhattacharyya, S. A. Khan, C. K. Sharma, and J. Mahanta, “Feeding patterns of Anopheles dirus, the major vector of forest malaria in north east India,” Southeast Asian Journal of Tropical Medicine & Public Health, vol. 27, no. 2, pp. 378–381, 1996.
View at: Google Scholar
M. T. Alam, M. K. Das, V. Dev, M. A. Ansari, and Y. D. Sharma, “Identification of two cryptic species in the Anopheles (Cellia) annularis complex using ribosomal DNA PCR-RFLP,” Parasitology Research, vol. 100, no. 5, pp. 943–948, 2007.
View at: Publisher Site | Google Scholar
M. T. Alam, M. K. Das, V. Dev, M. A. Ansari, and Y. D. Sharma, “PCR-RFLP method for the identification of four members of the Anopheles annularis group of mosquitoes (Diptera: Culicidae),” Transactions of the Royal Society of Tropical Medicine and Hygiene, vol. 101, no. 3, pp. 239–244, 2007.
View at: Publisher Site | Google Scholar
M. T. Alam, M. K. Das, M. A. Ansari, and Y. D. Sharma, “Molecular identification of Anopheles (cellia) sundaicus from the andaman and nicobar islands of India,” Acta Tropica, vol. 97, no. 1, pp. 10–18, 2006.
View at: Publisher Site | Google Scholar
B. Atrie, S. K. Subbarao, M. K. Pillai, S. R. Rao, and V. P. Sharma, “Population cytogenetic evidence for sibling species in Anopheles annularis (Diptera: Culicidae),” Annals of the Entomological Society of America, vol. 92, no. 2, pp. 243–249, 1999 Mar 1.
View at: Publisher Site | Google Scholar
K. Raghavendra, V. Verma, H. C. Srivastava, K. Gunasekaran, U. Sreehari, and A. P. Dash, “Persistence of DDT, malathion & deltamethrin resistance in Anopheles culicifacies after their sequential withdrawal from indoor residual spraying in Surat district, India,” Indian Journal Of Medical Research, vol. 132, no. 3, pp. 260–264, 2010 Sep 1.
View at: Google Scholar
Ministry of Health & Family Welfare, Government of India, Strategic Plan for Malaria Control in India 2012-2017: A Five-Year Strategic Plan, Ministry of Health & Family Welfare, New Delhi, India, http://nvbdcp.gov.in/Doc/Strategic-Action-Plan-Malaria-2012-17-Co.pdf.
World Health Organization, World Malaria Report 2018, World Health OrganizationWorld Health Organization, Geneva, Switzerland, https://www.who.int/malaria/publications/world-malaria-report-2018/report/en.
B. R. Jana-Kara, W. A. Jihullah, B. Shahi, V. Dev, C. F. Curtis, and V. P. Sharma, “Deltamethrin impregnated bed nets against Anopheles minimus transmitted malaria in Assam, India,” Journal of Tropical Medicine & Hygiene, vol. 98, no. 2, pp. 73–83, 1995.
View at: Google Scholar
S. Pattanayak, V. P. Sharma, N. L. Kalra, V. S. Orlov, and R. S. Sharma, “Malaria paradigms in India and control strategies,” Indian Journal of Malariology, vol. 31, no. 4, pp. 141–199, 1994.
View at: Google Scholar
B. N. Nagpal and V. P. Sharma, Indian Anophelines, Oxford IBH, New Delhi, India, 1995.
S. R. Christophers, “The fauna of British India, including Ceylon and Burma,” Diptera: Family Culicidae; Tribe Anophelini, Taylor & Francis, London, UK, 1933.
View at: Google Scholar
P. J. Barraud, “The fauna of British India, including Ceylon and Burma,” Diptera: Family Culicidae; Tribes Megarhinini and Culicini, Taylor & Francis, London, UK, 1934.
View at: Google Scholar
H. K. Phuc, A. J. Ball, L. Son et al., “Multiplex PCR assay for malaria vector Anopheles minimus and four related species in the Myzomyia series from Southeast Asia,” Medical and Veterinary Entomology, vol. 17, no. 4, pp. 423–428, 2003.
View at: Publisher Site | Google Scholar
A. Prakash, C. Walton, D. R. Bhattacharyya, S. O. Loughlin, P. K. Mohapatra, and J. Mahanta, “Molecular characterization and species identification of the Anopheles dirus and An.minimus complexes in north-east India using r-DNA ITS2,” Acta Tropica, vol. 100, no. 1-2, pp. 156–161, 2006.
View at: Publisher Site | Google Scholar
C. Garros, M. Coetzee, M. Coosemans, S. Manguin, and L. L. Koekemoer, “A single multiplex assay to identify major malaria vectors within the African Anopheles funestus and the Oriental Anopheles minimus groups,” The American Journal of Tropical Medicine and Hygiene, vol. 70, no. 6, pp. 583–590, 2004.
View at: Publisher Site | Google Scholar
R. J. Kent and D. E. Norris, “Identification of mammalian blood meals in mosquitoes by a multiplexed polymerase chain reaction targeting cytochrome B,” The American Journal of Tropical Medicine and Hygiene, vol. 73, no. 2, pp. 336–342, 2005.
View at: Publisher Site | Google Scholar
World Health Organization, Test Procedures for Insecticide Resistance Monitoring in Malaria Vector Mosquitoes, World Health Organization, Geneva, Switzerland, 2016, http://www.who.int/malaria.
S. Dhiman, D. Goswami, B. Rabha, R. Gopalakrishnan, I. Baruah, and L. Singh, “Malaria epidemiology along Indo-Bangladesh border in Tripura state, India,” Southeast Asian Journal of Tropical Medicine and Public Health, vol. 41, no. 6, pp. 1279–1289, 2010.
View at: Google Scholar
A. Prakash, D. R. Bhattacharyya, P. K. Mohapatra, and J. Mahanta, “Current insecticide susceptibility status of Anopheles minimus: the Obald in Assam,” Journal of Communication Disorders, vol. 28, no. 2, pp. 143–145, 1996.
View at: Google Scholar
V. Dev, “Anopheles minimus: its bionomics and role in the transmission of malaria in Assam, India,” Bulletin of the World Health Organization, vol. 74, no. 1, pp. 61–66, 1996.
View at: Google Scholar
A. Srivastava, B. N. Nagpal, R. Saxena, V. Dev, and S. K. Subbarao, “Prediction of Anopheles minimus habitat in India – a tool for malaria management,” International Journal of Geographical Information Science, vol. 19, no. 1, pp. 91–98, 2005.
View at: Publisher Site | Google Scholar
D. R. Bhattacharyya, A. Prakash, N. P. Sarma et al., “Molecular evidence for the involvement of Anopheles nivipes (Diptera: Culicidae) in the transmission of Plasmodium falciparum in north–eastern India,” Annals of Tropical Medicine and Parasitology, vol. 104, no. 4, pp. 331–336, 2010 Jun 1.
View at: Publisher Site | Google Scholar
N. P. Sarmah, I. P. Bhowmik, D. K. Sarma et al., “Role of Anopheles baimaii: potential vector of epidemic outbreak in Tripura, North-east India,” Journal of Global Health Reports, vol. 3, p. 3, 2019.
View at: Publisher Site | Google Scholar
A. Prakash, D. R. Bhattacharyya, P. K. Mohapatra, and J. Mahanta, “Indoor biting behaviour of Anopheles dirus Peyton and Harrison, 1979 in upper Assam, India,” Mosquito Borne Diseases Bulletin, vol. 14, pp. 31–37, 1997.
View at: Google Scholar
P. Dutta, S. A. Khan, D. R. Bhattarcharyya, A. M. Khan, C. K. Sharma, and J. Mahanta, “Studies on the breeding habitats of the vector mosquito Anopheles baimai and its relationship to malaria incidence in Northeastern region of India: breeding habitats of Anopheles baimai and its role in incidence of malaria in Northeastern region of India,” EcoHealth, vol. 7, no. 4, pp. 498–506, 2010 Dec 1.
View at: Publisher Site | Google Scholar
J. A. Tangena, P. Thammavong, A. Hiscox, S. W. Lindsay, and P. T. Brey, “The human-baited double net trap: an alternative to human landing catches for collecting outdoor biting mosquitoes in Lao PDR,” PLoS One, vol. 10, no. 9, Article ID e0138735, 2015.
View at: Publisher Site | Google Scholar
World Health Organization, Manual on Practical Entomology in Malaria, World Health Organization, Geneva, Switzerland, 1995.
Y. P. Sun and H. H. Shepard, “Methods of calculating and correcting the mortality of insects,” Journal of Economic Entomology, vol. 40, no. 5, pp. 710–715, 1947.
View at: Publisher Site | Google Scholar
V. Dev and S. Manguin, “Biology, distribution and control of Anopheles (Cellia) minimus in the context of malaria transmission in northeastern India,” Parasites & Vectors, vol. 9, pp. 1–13, 2016.
View at: Publisher Site | Google Scholar

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