Warning: fopen(/home/virtual/epih/journal/upload/ip_log/ip_log_2024-05.txt): failed to open stream: Permission denied in /home/virtual/lib/view_data.php on line 83 Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 84 Aedes aegypti container preference for oviposition and its possible implications for dengue vector surveillance in Delhi, India
Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health

OPEN ACCESS
SEARCH
Search

Articles

Page Path
HOME > Epidemiol Health > Volume 45; 2023 > Article
Original Article
Aedes aegypti container preference for oviposition and its possible implications for dengue vector surveillance in Delhi, India
Pooja Prasad1,2orcid, Suman Lata1,3orcid, Sanjeev Kumar Gupta1orcid, Pawan Kumar1orcid, Rekha Saxena1, Deepak Kumar Arya2orcid, Himmat Singh1,3orcid
Epidemiol Health 2023;45:e2023073.
DOI: https://doi.org/10.4178/epih.e2023073
Published online: August 23, 2023

1ICMR-National Institute of Malaria Research, New Delhi, India

2Department of Zoology, D.S.B Campus, Kumaun University, Nainital, India

3Academy of Scientific and Innovative Research (AcSIR), New Delhi, India

Correspondence: Himmat Singh ICMR-National Institute of Malaria Research, Dwarka, Sector 8, New Delhi 110077, India E-mail: hspawar@rediffmail.com
• Received: December 8, 2022   • Accepted: July 27, 2023

© 2023, Korean Society of Epidemiology

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • 3,255 Views
  • 144 Download
  • OBJECTIVES
    Dengue is a mosquito-borne viral disease globally transmitted by Aedes aegypti. The most effective method to prevent the transmission of the disease is proficient vector control. Understanding the breeding behaviour of the responsible vectors is very pertinent in this regard; therefore, the present study was conducted to understand Ae. aegypti behaviour regarding the selection of containers for oviposition in the megacity of Delhi.
  • METHODS
    A household survey in different localities within Delhi was carried out during 2018-2019. All available containers were inspected for the presence of immature Ae. aegypti. In entomological surveillance, the ovipositional preference of Aedes was computed using the breeding preference ratio, container index in the field, and laboratory settings, and associations of dengue cases with monthly variation in environmental factors and container type were also calculated.
  • RESULTS
    The household larval survey in 40 localities showed that 40% of 27,776 water-holding containers in 3,400 houses were plastic, followed by overhead tanks (26.2%), and coolers (12.1%). The most preferred breeding habitat was clay pots (9.3%), followed by metallic containers (8.5%) and solid waste (7.1%). A laboratory-based study showed that Aedes preferred clay containers (81.8%) over 4 other types of containers (plastic, paper, metal, and glass).
  • CONCLUSIONS
    The present study provides a rationale for using clay containers as a possible surveillance tool (ovitraps) or as a vector control tool. This information might aid researchers in developing novel traps and targeting preferred containers for larval control activities during transmission and non-transmission seasons.
Dengue is a major global public health concern. Cases have increased worldwide more than 8-fold, from about 0.5 million cases in 2000 to over 2.4 million cases in 2010 and then 4.2 million cases in 2019 [1]. Currently, 129 countries are at risk for dengue infection [2], and 70% of the actual burden is in Asia [3-5]. In India, the Aedes aegypti mosquito, due to its high affinity for humans, is the most effective vector for transmitting arboviruses [6]. In 2020, India reported 39,419 dengue cases and 56 deaths, with Delhi alone accounting for 1,269 cases, albeit with no fatalities [7]. Since 1967, Delhi has experienced several dengue epidemics, with some of the most significant outbreaks occurring in 1996, 2003, 2006, and 2015 [8-12]. The high incidence of dengue cases in Delhi can be attributed to various factors. These include large population size, haphazard urbanisation, socioeconomic conditions, and changing climatic conditions. Poor water storage practices have also contributed to an increase in breeding habitats for Ae. aegypti [13-16]. In the absence of a commercially available vaccine for dengue, controlling the vector remains the most effective strategy to curb its transmission. The key to managing dengue lies in adopting a comprehensive approach. This includes ongoing vector surveillance, the integrated management of Aedes mosquitoes using safe and cost-effective biological and chemical controls, environmental management, legislation, and action at both individual and community levels.
Ae. aegypti, often referred to as a container breeder mosquito, typically breeds in domestic and peri-domestic man-made containers such as plastic drums, overhead tanks, cans, and buckets, as well as natural containers containing some organic matter, like tree holes [17,18]. The wide variety of water containers available for egg-laying makes it challenging to control the Ae. aegypti population. Therefore, studies on breeding site preferences are crucial for planning surveillance and monitoring within vector control programs. A study conducted by Vikram et al. [19] between 2013 and 2014 in 18 Delhi localities with varying socioeconomic groups found that containers in low-income areas contributed more to Ae. aegypti breeding than those in middle-income and high-income localities. Given that the ecological parameters of this species can change over time and space, it is necessary to have updated information to plan and implement effective control measures against the Ae. aegypti mosquito in Delhi. Consequently, this study aimed to provide insight into the preferred breeding containers of Ae. aegypti among the commonly available containers in the community.
Study site
The research was conducted in Delhi, the capital of India, from September 2018 to December 2019. Delhi is a metropolitan city that spans an area of 1,483 square kilometres. It is situated at the intersection of 28.53º north latitude and 77.20º east longitude. The city is nestled on both sides of the Arawali Hill range and is bordered on 3 sides by Haryana, while Uttar Pradesh lies across the river, Yamuna. Delhi is governed by 3 civic bodies: the East Delhi Municipal Corporation, the North Delhi Municipal Corporation, and the South Delhi Municipal Corporation. These bodies have been unified into a single entity, the Municipal Corporation of Delhi, which is divided into 12 zones. The study was divided into 2 components (fieldwork and laboratory work), to determine the oviposition preference of Ae. aegypti.
Field study
We conducted monthly entomological surveys in 40 localities within different zones of Delhi (Figure 1). The localities were selected based on the incidence of dengue in previous years, and to ensure a broad representation of Delhi’s geographical area. After the localities were selected, we visited them regularly each month. However, the specific houses within these locations were selected randomly.
The household surveys were planned with Municipal Corporation of Delhi workers who conducted door-to-door inspections for larvae. In every household, we examined water-holding containers, including overhead tanks, cement tanks, underground tanks, metal and plastic containers, bird pots, flowerpots, discarded tires, and solid waste (such as unused bottles, coconut shells, and rotten leaves) for any life stage of the Ae. aegypti mosquito (Figure 2).
The containers were labelled as inspected if they contained water, and marked as positive if they housed any immature forms, larvae, or pupae. Depending on the type of container, mosquito samples were gathered using either a pipette or a dipper. Larvae were collected from their natural habitats and then reared in the laboratory until they matured. Following their emergence, they were identified using standard keys.
Laboratory study
The laboratory experiments took place at the ICMR-National Institute of Malaria Research in Delhi. These experiments were carried out in pairs, independently, within cages measuring 2× 2× 2 ft. In order to determine the egg-laying preference of Ae. aegypti, we placed 250 mL water cups in a cage, 1 for each of the 5 containers. These containers, all of the same size, were made from different materials: clay, plastic, paper, metal, and glass. Each container had a diameter of approximately 9 cm and a depth of 8 cm (Figure 3).
Dark-coloured containers were utilised for this experiment, including black plastic, dark paper, and red-brown clay containers, while the glass containers were transparent. There were 5 replications per container type, and for each replication, 10 gravid Ae. aegypti females were introduced into 2 cages (cages 1 and 2) and allowed to lay eggs within the containers. The laboratory conditions were maintained at a temperature of 25± 2°C and relative humidity between 65% and 70%. After 4 days, the containers were removed from the cages and inspected for the presence of eggs. The eggs were counted using a hand lens, and the water in each container was examined for additional eggs or hatched larvae. For each replication, a fresh set of containers was used, rotated clockwise from their previous positions. The total number of eggs was then tallied for analysis. The breeding preference was determined by the number of eggs deposited in each container within the laboratory setting and was calculated using the percentage of egg laying.
Statistical analysis
Dengue incidence data were collected from the DMC, and meteorological data (temperature and rainfall) were obtained from the National Aeronautics and Space Administration Langley Research Center Prediction of Worldwide Energy Resource Project (funded through the NASA Earth Science/Applied Science Program and Ministry of Earth Science, India Meteorological Department; released under the National Data Sharing and Accessibility).
To determine the percentage of water-holding containers that were infested with mosquito larvae or pupae, the container index (CI) was calculated using the following formula:
Container index (CI) = Number of positive containersTotal number of containers checked×100
To measure the attractiveness of different stimuli, such as the colour or odour of a particular stimulus, for Ae. aegypti female mosquitoes, the breeding preference ratio (BPR) was estimated using the following formula:
Breeding preference ratio (BPR) = YX
Where,
X(%)=Number of examined water reservoir containers for each typeTotal number of examined water reservoir containers×100Y(%)=Number of larvae-positive water reservoir containers for each typeTotal number of larvae-positive water reservoir containers×100
The Pearson correlation coefficient between environmental factors and dengue cases was calculated utilising dengue cases and meteorological data from different sites. For the laboratory experiments, the chi-square (χ2) significance test was applied to ascertain the preferred behaviour of the Ae. aegypti mosquito for each type of container.
Ethics statement
The study protocol was approved by the Research Integrity Committee (RIC) of Institute 12/2021.
Field study
About 3,400 houses in 40 localities (80-90 houses/locality) in Delhi were surveyed from July 2018 to August 2019 for the presence of Ae. aegypti life stages in various water-holding containers. These containers varied in number, type, and size. The localities were selected randomly but stratified based on the incidence of dengue.
In total, 26,776 containers were checked, and 2.1% (579 containers) were found positive for Ae. aegypti breeding. A container was deemed positive if it housed even a single immature life stage of the mosquito species (Table 1). The current study found that 97.7% of the inspected containers were overhead tanks, flowerpots, coolers, and plastic containers. In an urban environment, the majority of water storage containers, such as drums, buckets, and overhead tanks, are composed of plastic (67%).
Plastic water storage containers (40.7%) and overhead tanks (26.2%) were the most common in the community, contributing positively at rates of 37.8% and 27.5%, respectively. Coolers were also frequently found (12.1%), contributing positively at a rate of 25.0%. Clay containers were less common (1.1%), but their positive contribution was still notable at 4.8% (Table 1). Throughout the entire study period, only 3 underground cement tanks were discovered. Due to the disproportionate sample size of underground tanks compared to other containers, data on cement tanks and underground cement tanks were combined. Apart from flowerpots (0.30%), the percentage of water-holding containers infested with larvae or pupae, known as the container index, varied from 2.01% (plastic containers) to 9.36% (clay containers). The highest breeding preference ratio was found in clay pots (4.33), followed by metal containers (3.94), solid waste (3.30), and coolers (2.07). The container positivity among solid waste, tires, and metallic containers was observed to be less than 1% and therefore could be considered negligible.
Laboratory-based study
In a controlled laboratory environment, 100 gravid females laid a total of 3,524 eggs. These females were divided into groups of 10 and housed in separate experimental cages. The female Ae. aegypti mosquitoes showed a significant preference for clay containers, with a notably high egg-laying rate of 81.8% compared to containers made from other materials such as plastic, paper, metal, and glass (Table 2).
The study found that Ae. aegypti showed a strong preference for clay containers (81.8%), irrespective of their location within the cage. This was followed by plastic containers (11.1%), paper (2.5%), and metallic containers (4.2%). Glass containers were the least favoured, with a preference rate of only 0.5%. The chi-square test indicated a significant difference in the number of eggs laid by Ae. aegypti depending on the type of container used (χ2 = 3,924.139; df=4; p<0.01).
The scatterplot between CI and BPR for field conditions revealed that clay containers were the most preferred containers, whereas flowerpots were the least preferred containers in terms of both CI and BPR (Figure 4). In laboratory settings, Ae. aegypti also preferred to breed in clay containers (Figure 5) over other available containers.
Seasonal and environmental dynamics
As shown in Supplementary Material 1A, July was the month with the most rainfall, followed by August. In contrast, Supplementary Material 1B indicates that the container index peaked in August, then September, suggesting heightened mosquito activity during these months. Additionally, the most significant number of dengue cases were reported between October and November (Supplementary Material 1B). This pattern can be explained by the time lag that occurs from when mosquitoes lay their eggs after rainfall, through the hatching and maturation process, to when they begin feeding on the blood of dengue fever patients. It takes time for the virus to migrate from the mosquito’s midgut cells to its salivary glands. This extrinsic incubation period is also influenced by factors such as ambient temperature and the mosquito’s competence. Once the dengue virus has reached the salivary gland of an infected mosquito, it can be transmitted to another person through a subsequent blood meal. This person then goes through an incubation period before symptoms appear. The current study found a significant positive correlation (r=-0.38, p<0.05) between the average temperature increase from July to November and the number of dengue cases (Supplementary Material 2). The increase in the number of breeding containers is likely to correspond to a rise in dengue cases. Therefore, the results of this study imply that initiatives aimed at reducing breeding containers could potentially contribute to reducing the incidence of dengue cases.
Vector surveillance is an important tool for generating entomological data necessary for effective Ae. aegypti control strategies, and understanding the breeding site selection of vector mosquitoes is a vital component of this process. Ae. aegypti mosquitoes breed indiscriminately in several types of habitats, and their oviposition among different habitats is influenced by several factors, such as the size and type of container [21-23], the presence of conspecific larvae and pupae (semiochemicals) [24], and sun exposure [25]. Studies have demonstrated that the colour and material of containers were important determinants for container preference by Ae. aegypti mosquitoes and affected Ae. aegypti egg-laying preferences [26,27]. Colour adaptations are helpful in insect survivorship and species fitness [28,29]. The colour preference of Ae. aegypti females is primarily based on a greater attraction to dark surfaces [30], suggesting that Ae. aegypti prefer dark breeding areas, over other colours such as blue, yellow, and white [31]. Colton et al. [32] reported that Aedes mosquitoes lay the majority of their eggs in black ovitraps, possibly to protect the eggs and offspring from predators, as the eggs are typically black. A study by Harrington et al. [33] found that Ae. aegypti shows a positive correlation between increasing egg numbers and increasing container volume, indicating that females are under selection pressure to choose a container that will provide the highest offspring survival rates.
Delhi, a densely populated city with an inadequate water supply and a diverse mix of residents from various socioeconomic levels and housing types [34,35], faces unique challenges. The lack of access to tap water leads to an increase in water-bearing container storage in homes, which can become breeding grounds for mosquitoes due to the storage of clean water in jars. It has been observed that the most deprived areas also have the poorest water access and the highest proportion of containers positive for mosquitoes [19]. Socioeconomic factors such as intermittent water supply, leading to more water storage in containers without proper lids, improper solid waste management, and lack of civic amenities, all contribute to the breeding of Ae. aegypti. In the case of dengue vectors, a sudden increase in density after rainfall could be due to the emergence of many larvae as a result of the massive hatching of eggs accumulated on container walls during a dry period. Various studies have shown that the primary breeding containers may change according to the availability of container types in an area [36,37]. One study demonstrated that Ae. aegypti preferred to breed on the vertical walls of a container, which was the main reason for the high productivity of cement containers [38]. Our findings are also supported by Bisht et al. [39] and might explain why the present study found a sharp peak in October after a lag phase of a month for dengue cases. A similar pattern with a lag phase from 1 to 3 months was observed in Cambodia [40], Brazil [41], and Townsville [42,43].
In this study, clay containers were the most favoured for egg-laying, with a preference rate of 81.8%, regardless of their location. This finding aligns with a study by Basra et al. [34] conducted in the Shahdara zone of Delhi, which found earthen pots to be the most productive breeding container under field conditions. This preference may be due to the porous, rough surfaces of clay pots, which are more conducive to breeding than plastic and iron containers. The Aedes mosquito’s affinity for clay pots suggests that it practices “skip” oviposition, laying eggs in other available containers, such as plastic ones, when clay pots are not available. Despite offering suitable conditions for breeding, cement tanks and tires were not identified as major contributors to Aedes breeding in this study. This could be due to the application of the insecticide temephos to these unattended containers by domestic breeding checker workers in Delhi. Historically, Ae. aegypti was known to breed in indoor water storage containers. However, recent studies have indicated that Ae. aegypti may have developed a new adaptive strategy to breed outdoors. This shift could be attributed to several factors, including urbanisation, climate change, and insecticide resistance [19,44,45]. In the context of Delhi, India, bird pots placed on rooftops could potentially serve as breeding sites for Ae. aegypti. These pots can collect rainwater, providing a suitable breeding habitat for mosquitoes. If not cleaned regularly, they can also accumulate organic matter, which can serve as a food source for mosquito larvae. It’s important to note that this shift towards outdoor breeding by Ae. aegypti could significantly impact mosquito control strategies. Traditional indoor-based control measures, such as insecticide-treated nets and indoor residual spraying, may not be effective against mosquitoes that breed outdoors.
The suppression of Ae. aegypti is a practical method for controlling urban dengue, yellow fever, and chikungunya viruses. Over the past 50 years, many methods have relied on source reduction, but this approach appears to be ineffective due to insufficient surveillance to minimise the vector population and disease load. To develop more effective surveillance and control tools for outbreak detection, it is crucial to understand the current behaviour of the vector species. As such, there is a need for new control measures that target the outdoor breeding habitats of mosquitoes.
Despite the main limitation of this study, which was the varying sizes of household containers surveyed, from large (overhead tanks) to small (plastic bottles), we conclude that clay containers could be used in the future to attract the Aedes mosquito for oviposition. Targeting the preferred containers could be a cost-effective way to reduce the vector population and arboviral transmission in a given area or region. These results demonstrate that clay pots were the most preferred containers and could potentially be used as a surveillance tool (ovitraps) or as a vector control tool for the elimination of arboviral infections.
Supplementary materials are available at https://www.e-epih.org/.

Supplement Material 1.

Ae. aegypti mosquito dynamics with environmental factors. (A) Monthly temperature and cumulative rainfall in Delhi. (B) Monthly container index and dengue cases in Delhi.
epih-45-e2023073-Supplementary-1.docx

Supplement Material 2.

Association of dengue cases with monthly variation in environmental factors and container type
epih-45-e2023073-Supplementary-2.docx

CONFLICT OF INTEREST

The authors have no conflicts of interest to declare for this study.

FUNDING

This work was supported by the Department of Science and Technology INSPIRE Fellowship Programme (DST/INSPIRE/03/2018/000984).

AUTHOR CONTRIBUTIONS

Conceptualization: Singh H. Data curation: Prasad P, Lata S, Kumar P. Formal analysis: Prasad P, Gupta SK, Saxena R, Arya DK. Funding acquisition: Singh H, Prasad P. Methodology: Prasad P, Gupta SK, Saxena R, Arya DK. Writing – original draft: Prasad P, Lata S, Kumar P, Gupta SK, Saxena R, Arya DK, Singh H. Writing – review & editing: Singh H.

Dengue data were obtained from Delhi Municipal Corporation. The rainfall data were taken from the Ministry of Earth Science, India Meteorological Department released under the National Data Sharing and Accessibility Policy. The temperature data were obtained from the National Aeronautics and Space Administration Langley Research Center Prediction of Worldwide Energy Resource Project funded through the NASA Earth Science/Applied Science Program.
Figure 1.
Surveyed localities (40 localities) within Delhi.
epih-45-e2023073f1.jpg
Figure 2.
Aedes aegypti mosquito breeding habitats identified during entomological surveillance within the metropolitan city of Delhi, India: (A) plastic container, (B) overhead tank, (C) flower pot, (D) cooler, (E) clay pot, (F) cemented tank, (G) solid waste, (H) discarded tires, and (I) metal container.
epih-45-e2023073f2.jpg
Figure 3.
Experimental design for the placement of breeding container types (A: clay, B: plastic, C: paper, D: metal, and E: glass) in cages.
epih-45-e2023073f3.jpg
Figure 4.
Preference of female Aedes aegypti for containers in natural field conditions.
epih-45-e2023073f4.jpg
Figure 5.
Percent egg laying by female Aedes aegypti in containers in laboratory conditions (the number of eggs on the x-axis is in log scale).
epih-45-e2023073f5.jpg
epih-45-e2023073f6.jpg
Table 1.
Container index and breeding preference ratio (BPR)1 of Aedes aegypti according to habitat
Breeding habitat Container
Container index BPR (Y/X)
Checked (n) Percent contribution (X) Positive (n) Percent contribution to positive results (Y)
Plastic containers 10,898 40.7 219 37.8 2.01 0.93
Overhead tanks 7,013 26.2 159 27.5 2.27 1.05
Flowerpots 5,015 18.7 15 2.6 0.30 0.14
Coolers 3,240 12.1 145 25.0 4.48 2.07
Clay pots 299 1.1 28 4.8 9.36 4.33
Cemented tanks 217 0.8 6 1.0 2.76 1.28
Solid waste 28 0.1 2 0.3 7.14 3.30
Tyres 19 0.1 1 0.2 5.26 2.43
Metal containers 47 0.2 4 0.7 8.51 3.94
Total 26,776 - 579 - 2.16 -

1 BPR values less than 1 indicate that this category was unattractive to female mosquitoes and they preferred the other container stimuli, while values greater than 1 indicate that the container stimulus was more attractive than the other containers [20].

Table 2.
Eggs laid by Aedes aegypti in different container types in laboratory conditions (sum of 5 replicates)
Experiment Clay Plastic Paper Metallic Glass Total eggs laid
Cage 11 1,497 138 48 78 10 1,771
Cage 21 1,386 251 38 70 8 1,753
Grand total 2,883 389 86 148 18 3,524
Egg laying (%) 81.8 11.1 2.5 4.2 0.5 -

1 Sum of 5 replicates in each cage.

  • 1. World Health Organization. Dengue and severe dengue; 2023 [cited 2023 Apr 3]. Available from: https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue.
  • 2. Brady OJ, Gething PW, Bhatt S, Messina JP, Brownstein JS, Hoen AG, et al. Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl Trop Dis 2012;6:e1760.ArticlePubMedPMC
  • 3. Sarma DK, Kumar M, Balabaskaran Nina P, Balasubramani K, Pramanik M, Kutum R, et al. An assessment of remotely sensed environmental variables on Dengue epidemiology in Central India. PLoS Negl Trop Dis 2022;16:e0010859.ArticlePubMedPMC
  • 4. Bhat MA, Krishnamoorthy K. Entomological investigation and distribution of Aedes mosquitoes in Tirunelveli, Tamil Nadu, India. Int J Curr Microbiol Appl Sci 2014;3:253-260.
  • 5. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature 2013;496:504-507.ArticlePubMedPMCPDF
  • 6. Arunachalam N, Tewari SC, Thenmozhi V, Rajendran R, Paramasivan R, Manavalan R, et al. Natural vertical transmission of dengue viruses by Aedes aegypti in Chennai, Tamil Nadu, India. Indian J Med Res 2008;127:395-397.PubMed
  • 7. National Center for Vector Borne Diseases Control (NCVBDC), Ministry of Health & Family Welfare, Government of India. Dengue cases and deaths in the country since 2018. [cited 2023 Apr 3]. Available from: https://ncvbdc.mohfw.gov.in/index4.php?lang=1&level=0&linkid=431&lid=3715.
  • 8. Patel S, Singh P, Prakash V, Sharma AK, Dhan S, Singh R, et al. A study on the influence of climatic factors on the preferential breeding places of Aedes, the Dengue vector, in Delhi, India. Int J Mosq Res 2020;7:95-104.
  • 9. Acharya SK, Buch P, Irshad M, Gandhi BM, Joshi YK, Tandon BN. Outbreak of dengue fever in Delhi. Lancet 1988;2:1485-1486.Article
  • 10. Kabra SK, Verma IC, Arora NK, Jain Y, Kalra V. Dengue haemorrhagic fever in children in Delhi. Bull World Health Organ 1992;70:105-108.PubMedPMC
  • 11. World Health Organization. Monograph on dengue/dengue haemorrhagic fever; 1993 [cited 2023 Apr 23]. Available from: https://apps.who.int/iris/handle/10665/205538.
  • 12. Kaul SM, Sharma RS, Sharma SN, Panigrahi N, Phukan PK, Lal S. Preventing dengue/dengue haemorrhagic fever outbreaks in the National Capital Territory of Delhi--the role of entomological surveillance. J Commun Dis 1998;30:187-192.PubMed
  • 13. Hiscox A, Kaye A, Vongphayloth K, Banks I, Piffer M, Khammanithong P, et al. Risk factors for the presence of Aedes aegypti and Aedes albopictus in domestic water-holding containers in areas impacted by the Nam Theun 2 hydroelectric project, Laos. Am J Trop Med Hyg 2013;88:1070-1078.ArticlePubMedPMC
  • 14. Philbert A, Ijumba J. Preferred breeding habitats of Aedes aegypti (Diptera-Culicidae) mosquito and its public health implications in Dares Salaam, Tanzania. J Environ Res Manag 2013;4:344-351.
  • 15. Thete KD, Shinde LV. Survey of container breeding mosquito larvae in Jalna City (MS), India. Biol Forum 2013;5:124-128.
  • 16. Roop K, Priya S, Sunita P, Mujib M, Kanhekar LJ, Venkatesh S. Way forward for seasonal planning of vector control of Aedes aegypti and Aedes albopictus in a highly dengue endemic area in India. Austin J Infec Dis 2016;3:1022.
  • 17. Christophers SR. Aedes aegypti (L.), the yellow fever mosquito: its life history, bionomics and structure. London: Cambridge University Press; 1960. p 27-28.
  • 18. Chadee DD. Key premises, a guide to Aedes aegypti (Diptera: Culicidae) surveillance and control. Bull Entomol Res 2004;94:201-207.ArticlePubMed
  • 19. Vikram K, Nagpal BN, Pande V, Srivastava A, Gupta SK, Anushrita VP, et al. Comparison of Ae. aegypti breeding in localities of different socio-economic groups of Delhi, India. Int J Mosq Res 2015;2:83-88.
  • 20. Flaibani N, Pérez AA, Barbero IM, Burroni NE. Different approaches to characterize artificial breeding sites of Aedes aegypti using generalized linear mixed models. Infect Dis Poverty 2020;9:107.ArticlePubMedPMCPDF
  • 21. Chadee DD, Corbet PS, Talbot H. Proportions of eggs laid by Aedes aegypti on different substrates within an ovitrap in Trinidad, West Indies. Med Vet Entomol 1995;9:66-70.ArticlePubMed
  • 22. O’gower AK. Environmental stimuli and the oviposition behaviour of Aedes aegypti var. queenslandis Theobald (Diptera, Culicidae). Anim Behav 1963;11:189-197.Article
  • 23. Ponnusamy L, Xu N, Nojima S, Wesson DM, Schal C, Apperson CS. Identification of bacteria and bacteria-associated chemical cues that mediate oviposition site preferences by Aedes aegypti. Proc Natl Acad Sci U S A 2008;5:9262-9267.Article
  • 24. Kittayapong P, Strickman D. Three simple devices for preventing development of Aedes aegypti larvae in water jars. Am J Trop Med Hyg 1993;49:158-165.ArticlePubMed
  • 25. Ferdousi F, Yoshimatsu S, Ma E, Sohel N, Wagatsuma Y. Identification of essential containers for Aedes larval breeding to control dengue in Dhaka, Bangladesh. Trop Med Health 2015;43:253-264.PubMedPMC
  • 26. Kumawat R, Singh KV, Bansal SK, Singh H. Use of different coloured ovitraps in the surveillance of Aedes mosquitoes in an arid-urban area of western Rajasthan, India. J Vector Borne Dis 2014;51:320-326.PubMed
  • 27. Balakrishnan N, Venkatesh S, Lal S. An entomological study on the dengue vectors during outbreak of dengue in Tiruppur town and its surroundings, Tamil Nadu, India. J Commun Dis 2006;38:164-168.PubMed
  • 28. Williams RE. Effect of coloring oviposition media with regard to the mosquito Aedes triseriatus (Say). J Parasitol 1962;48:919-925.ArticlePubMed
  • 29. Beehler J, Lohr S, DeFoliart G. Factors influencing oviposition in Aedes triseriatus (Diptera: Culicidae). Gt Lakes Entomol 1992;25:4.
  • 30. Torrisi GJ, Hoback WW. Color and container size affect mosquito (Aedes triseriatus) oviposition. Northeast Nat (Steuben) 2013;20:363-371.Article
  • 31. Fajri K, Simatupang IM, Ferasyi TR, Septiani R, Abdullah A. The effect of materials and colors of artificial water container toward mosquito (Aedes aegypti) egg index. Proceedings of the 4th International Symposium on Health Research (ISHR 2019). Dordrecht: Atlantis Press; 2020. p 250-254.
  • 32. Colton YM, Chadee DD, Severson DW. Natural skip oviposition of the mosquito Aedes aegypti indicated by codominant genetic markers. Med Vet Entomol 2003;17:195-204.ArticlePubMed
  • 33. Harrington LC, Ponlawat A, Edman JD, Scott TW, Vermeylen F. Influence of container size, location, and time of day on oviposition patterns of the dengue vector, Aedes aegypti, in Thailand. Vector Borne Zoonotic Dis 2008;8:415-423.ArticlePubMedPMC
  • 34. Basra GK, Rohilla S, Singh S. Prevalence of Aedes aegypti in Shahdara Zone, Delhi, India. Int J Mosq Res 2021;8:11-15.Article
  • 35. Nandi J, Dash AP, Dutta PK, Dhariwal AC. Epidemiological importance of container pupal index (CPI) for vector surveillance and control of dengue in national capital territory (NCT)–Delhi, India. Dengue Bull 2014;38:1-10.
  • 36. Flaibani N, Pérez AA, Barbero IM, Burroni NE. Different approaches to characterize artificial breeding sites of Aedes aegypti using generalized linear mixed models. Infect Dis Poverty 2020;9:107.ArticlePubMedPMCPDF
  • 37. Sharma K, Angel B, Singh H, Purohit A, Joshi V. Entomological studies for surveillance and prevention of dengue in arid and semi-arid districts of Rajasthan, India. J Vector Borne Dis 2008;45:124-132.PubMed
  • 38. Marwal R, Mishra A, Singh H. Chapter 16. Study on ovipositioning preference of Aedes aegypti. Proceedings of XII International Conference on Vector and Vector Borne Disease. Udaipur: Sukhadia University; 2013. p 123-126.
  • 39. Bisht B, Kumari R, Nagpal BN, Singh H, Kumar S, Gupta AK, et al. Influence of environmental factors on dengue fever in Delhi. Int J Mosq Res 2019;6:11-18.
  • 40. Choi Y, Tang CS, McIver L, Hashizume M, Chan V, Abeyasinghe RR, et al. Effects of weather factors on dengue fever incidence and implications for interventions in Cambodia. BMC Public Health 2016;16:241.ArticlePubMedPMCPDF
  • 41. Silva FD, dos Santos AM, Corrêa Rda G, Caldas Ade J. Temporal relationship between rainfall, temperature and occurrence of dengue cases in São Luís, Maranhão, Brazil. Cien Saude Colet 2016;21:641-646.ArticlePubMed
  • 42. Hasan T, Bambrick H. The effects of climate variables on the outbreak of dengue in Queensland 2008-2009. Southeast Asian J Trop Med Public Health 2013;44:613-622.PubMed
  • 43. Hii YL, Rocklöv J, Ng N, Tang CS, Pang FY, Sauerborn R. Climate variability and increase in intensity and magnitude of dengue incidence in Singapore. Glob Health Action 2009;doi: https://doi.org/10.3402/gha.v2i0.2036.Article
  • 44. Joshi V, Sharma RC, Sharma Y, Adha S, Sharma K, Singh H, et al. Importance of socioeconomic status and tree holes in distribution of Aedes mosquitoes (Diptera: Culicidae) in Jodhpur, Rajasthan, India. J Med Entomol 2006;43:330-336.ArticlePubMed
  • 45. de Figueiredo RM. Molecular characterization of dengue virus circulating in Manaus, the capital city of the state of Amazonas, Brazil. In: Rodriguez-Morales AJ, ed. Current topics in tropical medicine. Rijeka: InTech; 2012. p 81-90.

Figure & Data

References

    Citations

    Citations to this article as recorded by  

      Figure

      Epidemiol Health : Epidemiology and Health