Figures
Abstract
Dengue, a vector-borne disease spread by Aedes mosquitoes, is a global threat. In the absence of an efficacious dengue vaccine, vector control is the key intervention tool in Singapore. A good understanding of vector habitats is essential to formulate operational strategies. We examined the distribution, long-term trend and seasonality of Aedes data collected during regulatory inspections in residences and public areas from 2008 to 2017. We also studied the seasonality of climate factors to understand their influence on the detection of Aedes-positive containers. The most frequently reported Aedes-positive containers were domestic containers, drains, discarded receptacles, ornamental containers, flower pot plates/trays, plants, gully traps, canvas/plastic sheet, bins, ground puddle, inspection chambers and roof tops/gutters. We found more Ae. aegypti and Ae. albopictus-positive containers per inspection in residences and public areas, respectively. The seasonality of Ae. aegypti-positive containers in residences and public areas coincided with that of mean temperature. However, the seasonality of Ae. albopictus-positive containers lagged by one month compared to that of mean temperature. Our study demonstrates the seasonal fluctuations of Aedes-positive containers in an urban environment. Understanding the distribution and seasonality of Aedes breeding helps to facilitate resource planning and community awareness to moderate dengue transmission.
Author summary
Dengue, a vector-borne disease spread by Aedes mosquitoes, is a global threat. In countries where dengue vaccine is not authorized due to safety concerns and is not cost effective, vector control is the key intervention tool. A good understanding of Aedes habitats is essential to facilitate resource planning and community awareness to moderate dengue transmission. In this study, we used larvae surveillance data from Singapore, to examine the distribution, long term trend and seasonality of Aedes habitats in residences and public areas. We also studied the seasonality of climate factors to understand their influence on the Aedes habitats. The most frequently reported Aedes-positive containers were domestic containers, drains, discarded receptacles, ornamental containers, flower pot plates/trays, plants, gully traps, canvas/plastic sheet, bins, ground puddle, inspection chambers and roof tops/gutters. Residences had more Ae. aegypti-positive containers per inspection whereas public areas had more Ae. albopictus-positive containers per inspection. We also found that mean temperature influenced the detection of Aedes habitats. This study demonstrates the seasonal fluctuations of Aedes-positive containers in an urban environment.
Citation: Rajarethinam J, Ong J, Neo Z-W, Ng L-C, Aik J (2020) Distribution and seasonal fluctuations of Ae. aegypti and Ae. albopictus larval and pupae in residential areas in an urban landscape. PLoS Negl Trop Dis 14(4): e0008209. https://doi.org/10.1371/journal.pntd.0008209
Editor: Mariangela Bonizzoni, Universita degli Studi di Pavia, ITALY
Received: October 24, 2019; Accepted: March 11, 2020; Published: April 20, 2020
Copyright: © 2020 Rajarethinam et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The data underlying the results presented in the study are owned by third party. The are available upon reasonable request from the Environmental Public Health Operations Department of the National Environment Agency (email: Contact_NEA@nea.gov.sg).
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Dengue fever is transmitted to humans by Aedes mosquitoes, mainly Ae. aegypti, although Ae. albopictus has also been implicated in several countries [1–5]. It is the fastest growing vector-borne disease in the world with a recent study estimating as many as 390 million dengue infections in a year [6]. The health burden of dengue is disproportionate, with countries in the Asia-Pacific region bearing about three-quarters of the global dengue disease burden [7]. The World Health Organization (WHO) recognizes dengue as a major public health problem and works with relevant countries and development partners to provide strategic guidance for urgent strengthening of vector control as a fundamental approach to reduce disease mobility and mortality rate [8]. With climate change studies indicating the likelihood of an expansion in the geographical areas favouring for dengue transmission, a larger proportion of the global human population is expected to be at risk [9]. An effective vaccine would be an ideal intervention to address the enlarged risk of dengue infections. Although the Dengvaxia dengue vaccine is presently licensed in several settings and several dengue vaccines are in various stages of clinical trials [10–12], there is presently no effective vaccine that can effectively and safely lower the dengue burden of countries with different intensities of dengue incidences. [13]. Vector control, therefore, remains a key strategy for dengue control.
Several studies have examined the distribution and abundance of Aedes pupae and larvae (immatures) in household containers in different landscapes for the purpose of planning and managing the vector. For example, recent studies in Kenya, Columbia and Selangor have shown that there are substantial numbers of Ae. aegypti habitats found in both rural and urban areas [14–16].
Singapore has a dengue control programme that primarily focuses on vector source reduction through surveillance, enforcement, community engagement, careful urban planning and operational research [17]. In this present study, we examined the distribution, long-term trend and seasonality of Ae. aegypti and Ae. albopictus-positive containers detected in residences and public areas in Singapore. We also studied the seasonality of climate factors to understand their influence on the detection of Aedes-positive containers. Understanding the distribution of Ae.aegypti and Ae. albopictus-positive containers detected in regulatory inspections can guide the prioritization of limited vector control resources aimed at reducing arboviral transmission.
Materials and methods
Ethics
This study was granted approval by the Environmental Health Institute of the National Environment Agency, Singapore. The study did not involve human participants.
Study setting
We conducted our study in Singapore (1° 17’N 103° 50’E), a city state with a land area of 724.2 square kilometer, and a population density of 7,804 people per square kilometer, one of the highest population densities in the world [18]. Singapore experiences a tropical climate with abundant rainfall, high and uniform temperatures and high humidity all year round [19]. The study was carried out in residential estates, which comprises both residences and public areas. Residential estates make up 31% of the total land area of Singapore.
Residences are defined as premises under the care of home owners. There are three types of residences: high rise public apartment blocks, private apartment blocks and landed houses. Ninety-five percent of Singapore residents live in apartment blocks, while 5% of them live in landed houses [20]. The public and private residential apartment blocks range from three to 50 storeys, with the majority between 10 and 30 storeys. Landed houses are built by the private sector, and the built up area of each house is on average 2.5 times that of an apartment [21]. Residences are primarily indoor areas, however, a small portion of the total area includes sheltered corridors along the homes of apartment blocks, as well as non-sheltered areas such as gardens of landed houses. Potted plants are common along the sheltered corridors outside homes in apartment blocks. Landed houses typically include external paved and turf areas as well as gardens where plants and ornamental containers are commonly found.
Public areas are defined as open spaces located in residential estates and are accessible to the public. They do not include areas that belong to home owners. The majority of public areas is not sheltered and is directly exposed to the natural elements. However, a small portion of public areas includes sheltered pathways connecting apartment blocks, and sheltered common congregation areas in the residential estate.
Vector control
As part of Singapore’s dengue control programme, approximately 600 trained public health inspectors from the National Environment Agency (NEA) conduct routine regulatory inspections of indoor premises and outdoor areas to identify and destroy mosquito immatures. All premises are scheduled to be inspected at least once every year, throughout the study period. The inspections of premises are planned at the start of the year and prioritized based on the dengue risk level of their locations. The risk level is determined by several factors such as dengue exposure, population density, and other environmental factors. The present study focuses on Ae. aegypti and Ae. albopictus mosquito-positive containers collected in residential estates, hence, mosquito-positive containers detected in other areas such as commercial buildings, construction sites, industrial buildings and other premises (such as schools, places of worship) were excluded from the analyses.
Public health inspectors are trained on inspecting wet containers and collecting mosquito immatures and recording data into the central information database. After receiving permission, surveys are carried out in residences. Majority of the residents grant permission to access their homes. However, in the event that nobody is present, pamphlets that educate residents on how to keep their homes free of mosquitoes, are inserted into homes. Based on the accessibility rate, on average, about half of the residences are surveyed. Majority of the premises are inaccessible because occupants are not present during the time of visit, and not due to refusal of entry. Permission to survey public areas is not required, as NEA authorizes public health inspectors to search and destroy mosquito breeding containers in public areas. At each site, the public health inspector will carefully inspect the area looking for water containers with mosquito immatures. A container is considered positive if a mosquito immature is present. When a container with at least one mosquito immature is found, a three milliliter pipette or specially designed ladle is used to collect water and immatures from the container. The water together with the immatures is transferred to transparent tubes, which can hold up to 12 milliliter of liquid, and labeled with a sample ID. All data pertaining to the collection, such as, the sample identification number, survey date, the type of container, the number of immatures present in the container, and the address where the container is found will be recorded into the central database connected via tablets. Any excess water that has not been collected will be emptied and if emptying the container was not feasible due to the large size, the water will be treated with Bacillus thuringiensis var. israelensis (BTI) or oiled to destroy the immatures that are not physically removed. At the end of each working day, the tubes with the samples are transported to the Environmental Health Institute (EHI) laboratory for identification of species according to taxonomic keys [22].
Climate data
Monthly mean temperature, absolute humidity and total rainfall from 2008 to 2017 recorded in Changi weather station in Singapore is obtained from Meteorological Services Singapore.
Statistical analyses
The monthly number of Ae. aegypti and Ae. albopictus-positive containers detected in residences and public areas from 2008 to 2017 was extracted from the database for the analyses. The containers were classified into ten categories based on the frequency of occurrences and the descriptions of the containers are in S1 Text. Containers that contained mosquito immatures that are not Ae. aegypti and Ae. albopictus (such as Culex. quinquefasciatus immatures) were excluded from the analyses for this study. We also retrieved the monthly number of inspections conducted in residences and public areas for the study period.
The monthly ratio of Ae. aegypti and Ae. albopictus-positive containers in residences and public areas was calculated by dividing the monthly number of Ae. aegypti and Ae. albopictus-positive containers in residences and public areas by the total number of inspections carried out in residences and public areas, respectively. A monthly ratio was chosen so as average out random noise. All premises within a premises types are similar to each other in terms of land area. Hence, the assumption we take is that the time taken for each inspection within a premises type is comparable.
Descriptive analyses were used to explore the data. We tabled the monthly number of Ae. aegypti and Ae. albopictus-positive containers detected in residences and public areas for the ten categories of containers. The monthly ratio of Ae. aegypti and Ae. albopictus-positive containers in residences and public areas was plotted over time. As the monthly mean ratio of Ae. aegypti-positive containers and Ae. albopictus-positive containers in residences as well as public areas were normally distributed, a paired t-test was used to compare the differences. We derived the trend and seasonality components of the monthly ratio of Ae. aegypti and Ae. albopictus-positive containers in separate time series models for each species, using the “ts” and “decompose” package implemented in the R statistical language [23] for residences and public areas. We also assessed the seasonality of the monthly climate factors in separate time series models in order to see if the seasonality of climate factors coincided with that of the Aedes-positive containers. Using Pearson cross correlation tests, we compared the seasonality of climate factors with that of Aedes-positive containers to determine the lag at which the correlation is the strongest. Generalized additive regression models were built for each premises types, that considers species and time components as the variables, using the “gam” package. Splines are added, where relevant, for smoothing. The models compare the trend of ratios between each species for each premises types. Statistical analyses were performed using R software version 3.6.1 [23]. Statistical significance was assessed at the 5% level.
Results
Taxonomic identification
There were 151,512 inspections conducted in residences (58.8%) and public areas (41.2%) from 2008 to 2017. Containers with mixed (Ae. aegypti and Ae. albopictus) breeding contributed to 3% of the total number of Aedes-positive containers. These data will be excluded from the study. A total of 149,184 Aedes-positive containers were found. Of these, 64,375 (43.2%) were Ae. aegypti-positive containers and 84,809 (56.8%) were Ae. albopictus-positive containers. Among the Ae. aegypti-positive containers detected, 83.3% were found in residences, while 51.4% of all Ae. albopictus-positive containers were detected in public areas.
Ae. aegypti and Ae. albopictus-positive containers
The most frequently reported categories of Aedes-positive containers were domestic containers, ornamental containers, flower pot plates/trays, drains, plants, discarded receptacles, canvas sheet/plastic sheet, puddle/ground depression, roof top/roof gutters, discarded receptacles, gully traps, inspection cover chambers, bins and “others” (S1 Text). Among the top ten categories of Ae. aegypti and Ae. albopictus-positive containers, there were six containers that were common to both species. The nine most frequently reported categories of Ae. aegypti-positive containers accounted for 74.4% and 56.5% of total Ae. aegypti-positive containers found in residences and public areas, respectively. In the case of Ae. albopictus-positive containers, the top nine categories of Ae. albopictus-positive containers accounted for 57.8% and 72.3% of all Ae. albopictus–positive containers in residences and public areas, respectively. The mean weekly number of Ae. aegypti and Ae. albopictus-positive containers in residences and public areas are shown in Fig 1.
Over the ten-year study period, Ae. aegypti and Ae. albopictus-positive containers in residences and public areas exhibited different temporal trends (Fig 2). The mean ratio of Ae. aegypti-positive containers was significantly higher than the mean ratio of Ae. albopictus-positive containers in residences (difference in mean = 0.25, 95% CI = 0.21 to 0.39, p<0.05). In contrast, the mean ratio of Ae. albopictus-positive containers was significantly higher than the mean ratio of Ae. aegypti-positive containers in public areas (difference in mean = 0.55, 95% CI = 0.50 to 0.60, p<0.05).
Time-series analyses of monthly Aedes-positive containers per inspection in residences and public areas
The monthly trend of the ratio of Ae. aegypti and Ae. albopictus-positive containers for both residences and public areas was plotted over time (Fig 3). There was an increasing trend in the ratio of Ae. aegypti-positive containers in residences from 2008 to 2010, after which there was a decreasing trend till September 2016. An upward trend was observed in the ratio of Ae. albopictus-positive containers in public areas from 2010 to mid 2012, after which the trend was stable until September 2016, There was a decreasing trend in the ratio of Ae. albopictus-positive containers in residences from 2008 to September 2016. The trend of ratio of Ae. albopictus-positive containers in public areas remained relatively stable, till September 2016. There was an upward trend in the monthly ratio of Ae. aeygpti and Ae. albopictus-positive containers in both residences and public areas from September 2016.
An upward trend for all lines were observed from Sep 2016, as highlighted in the yellow shaded region.
The rate of increase in the trend of Ae. albopictus-positive breeding was greater than that of Ae. aegypti-positive breeding in residences as well as public areas (Table 1).
The results are from the additive regression models created to compare the trends between Ae. aegypti-positive containers and Ae. albopictus-positive containers in residences and public areas.
There were seasonal fluctuations in the ratio of Aedes-positive containers in residences and public areas (Fig 4). For residences, we observed two peaks in the ratio of Ae. aegypti and Ae. albopictus-positive containers in April and November, although the magnitude of the peak in November was smaller for Ae. aegypti compared to Ae. albopictus. For public areas, however, an additional peak occurred in July in the ratio of both Ae. aegypti and Ae. albopictus-positive containers. The seasonal peak in the ratio of Ae. aegypti and Ae. albopictus-positive containers in residences and public areas was lowest in February. The seasonal and trend components of Aedes-positive containers are found in S2 Text.
The first 3 years are shown for easier visualization. The seasonality of ratio of (A) Ae. aegypti-positive containers in residences (B) Ae. albopictus-positive containers in residences (C). aegypti-positive containers in public areas (D) Ae. albopictus-positive containers in public areas.
Time-series analyses of monthly mean temperature, total rainfall and absolute humidity
We observed seasonal fluctuations in weather parameters over the study period. The mean temperature peaks from April to June, and again a slight peak was observed in September. The mean temperature in December to February was generally lower. The highest correlation between the seasonality of Ae. aegypti-positive containers and mean temperature in residences (r = 0.81) and public areas (r = 0.73) had no time lag, while, in the case of Ae. albopictus-positive containers, the highest correlation in residences (r = 0.41) and public areas (r = 0.65), was observed when Ae. albopictus-positive containers lagged mean temperature by 1 month (p<0.05). (Fig 5)
The first 3 years are shown for easier visualization. The seasonality of mean temperature plotted with the seasonality of (A) Ae. aegypti-positive containers in residences (B) Ae. albopictus-positive containers in residences (C) Ae. aegypti-positive containers in public areas (D) Ae. albopictus-positive containers in public areas.
In contrast, the seasonal peak in rainfall occurred in November and was at its lowest in June (Fig 6). There was only weak correlation between the seasonality of rainfall and that of Aedes-positive containers in residences and public areas. However, the timing of the seasonal peak in rainfall coincided with the year-end peaks in Ae. albopictus-positive containers in residences and public areas.
The first 3 years are shown for easier visualization. The seasonality of rainfall plotted with the seasonality of (A) Ae. aegypti-positive containers in residences (B) Ae. albopictus-positive containers in residences (C) Ae. aegypti-positive containers in public areas (D). albopictus-positive containers in public areas.
The timing of the peaks and troughs of absolute humidity was similar to that of Aedes-positive containers (Fig 7). The seasonal fluctuations of Ae. aegypti-positive containers in residences (r = 0.89) and public areas (r = 0.70) coincided with seasonal fluctuations of absolute humidity.
The seasonality of absolute humidity plotted with the seasonality of (A) Ae. aegypti-positive containers in residences (B) Ae. albopictus-positive containers in residences (C) Ae. aegypti-positive containers in public areas (D) Ae. albopictus-positive containers in public areas.
Discussion
We examined the temporal distribution of Ae. aegypti and Ae. albopictus-positive containers detected during regulatory inspections in residences and public areas for the past decade in Singapore. We found more Ae. aegypti-positive containers in residences and more Ae. albopictus-positive containers in public areas. This finding is consistent with the last study on Aedes larval habitats in Singapore, conducted in 1960s, which showed that the majority of Ae. aegypti and Ae. albopictus larval habitats were found in homes and outdoor settings, respectively [24]. Similar results were also reported in other countries such as Sarawak [25], Peninsular Malaysia [26] and South Sulawesi, Indonesia [27]. This finding is consistent with existing knowledge that Ae. aegypti are highly anthropophilic mosquitoes that are usually found in indoor areas with close proximity to humans whereas Ae. albopictus mosquitoes prefers natural habitats [28,29]. Ae. aegypti mosquitoes are competent dengue vectors [1–4]. Therefore, in the presence of Ae. aegypti population and high human density, there could be an increased risk of dengue transmission inside human dwellings. A previous study in Singapore has also shown that areas with higher Ae. aegypti proportion are likely to be more vulnerable to dengue outbreaks [30]. Hence, to mitigate dengue transmission, it is necessary for residents to continue to carry out mosquito control activities in homes.
A consistent upward trend in the ratio of Ae. aegypti and Ae. albopictus-positive containers in both residences and public areas was observed from September 2016. It is possible that mosquito control practices adopted by the general public were not sufficient over the years, thus, resulting in an increase in the mosquito population. This observation reinforces the need to further enhance public communications to urge individuals to take ownership in carrying out mosquito-control activities. Nevertheless, it is reassuring that the increase in the ratio of Ae. aegypti was less pronounced than Ae. albopictus.
There were seasonal fluctuations in the rate of Aedes-positive containers in residences and public areas. However, within residences and public areas, the seasonality of the rate of Ae. aegypti and Ae. albopictus-positive containers was similar. This suggests that Ae. aegypti and Ae. albopictus-positive containers within a particular premises type are influenced by common external factors. The seasonal fluctuations of Ae. aegypti-positive containers in residences and public areas coincided with seasonal fluctuations of mean temperature. However, there was a one-month lag in Ae. albopictus-positive containers when comparing the seasonal fluctuations of Ae. albopictus-positive containers in residences and public areas with the season fluctuations of mean temperature. It is likely that temperature influences the growth of Aedes larvae in both premises types. A similar study conducted in Cairns, Australia reported that the Ae. aegypti population lags maximum temperature between short (0–6 weeks) and long (0–30) weeks. [31]. A more recent study showed that the development time from hatching to adult emergence was shorter at higher temperatures [32], which could explain the increase in the number of mosquito-positive containers detected when temperature rises. Temperature trends can be used as a guide for shaping our vector control programme. Intervention efforts can be enhanced when the temperature rises, so as to control the proliferation of Aedes mosquito population. Interestingly, we noticed that the year-end peak in Ae albopictus-positive containers was higher than the initial peak for both residences and public areas, compared to Ae. aegypti-positive containers. The timing of the year end peak coincided with the seasonal peak in the total rainfall suggesting that rainfall has a larger effect on Ae. albopictus compared to Ae. aegypti. This could be due to Ae. albopictus preferring natural habitats, which are more prone to rainfall accumulation, compared to Ae. aegypti [33,34].
Study strengths and limitations
We analysed a nationally representative data set collected over a decade. Understanding the long term trend and seasonality of Aedes-positive containers allows us to make informed decisions in enhancing vector control policies to achieve maximum impact. There are a few study limitations. Firstly, public health inspectors are trained to look out for containers that are known to breed Aedes mosquitoes. This could have skewed the list of most frequently reported Aedes-positive containers. Secondly, there might be cryptic breeding sites that are difficult to identify or locate by public health inspectors, such as elevated sites or subterranean sites. Such sites might have been missed out in the list of most frequently reported habitats, and therefore, the number of Aedes-positive containers may be underestimated due to the lack of knowledge of these cryptic sites. Another limitation is that the time taken to inspect a residence is not similar to that of a public area, as the land area of a public area is larger and there is higher probability of detecting more potential breeding habitats. The last limitation is that there could be a possible impact of larviciding and source removal which can affect the presence of positive containers in the subsequent inspection, and we are unable to account for this in the computation of the rates. However, we expect little effect of this limitation on the study findings, as a previous study on the regulatory inspections in Singapore has shown that proportion of residences with repeated Aedes-positive containers detected were low [35].
Our study showed that there are more Ae. aegypti-positive containers in residences and more Ae. albopictus-positive containers in public areas. The seasonality of Ae. aegypti-positive containers in residences and public areas coincided with that of mean temperature. However, the seasonality of Ae. albopictus-positive containers lagged by one month compared to that of mean temperature. Understanding the distribution and seasonality of Aedes breeding helps to facilitate resource planning and community awareness to moderate dengue transmission.
Supporting information
S1 Text. Categorization and definitions of the most frequently reported Aedes-breeding containers.
https://doi.org/10.1371/journal.pntd.0008209.s001
(DOCX)
S2 Text. The seasonal and trend components of Aedes-positive containers in residences and public areas.
https://doi.org/10.1371/journal.pntd.0008209.s002
(XLSX)
Acknowledgments
The authors would like to thank the following people who have contributed to the project; Staff of Environmental Public Health Department involved in mosquito larval and pupae surveillance and operations and the Entomological Taxonomy team for identification of mosquito larval and pupae samples. We would also like to thank Mr Lam Wing Mun from Environmental Public Health Operations (HQ) for providing advice on vector control operational protocols.
References
- 1. Gratz NG. Critical review of the vector status of Aedes albopictus. Medical and veterinary entomology. 2004 Sep;18(3):215–27. pmid:15347388
- 2. Gubler DJ. Dengue and dengue hemorrhagic fever. Clinical microbiology reviews. 1998 Jul 1;11(3):480–96. pmid:9665979
- 3. Gubler DJ. Resurgent vector-borne diseases as a global health problem. Emerging infectious diseases. 1998 Jul;4(3):442. pmid:9716967
- 4. Lambrechts L, Scott TW, Gubler DJ. Consequences of the expanding global distribution of Aedes albopictus for dengue virus transmission. PLoS neglected tropical diseases. 2010 May 25;4(5):e646. pmid:20520794
- 5. Luo L, Jiang LY, Xiao XC, Di B, Jing QL, Wang SY, Tang JL, Wang M, Tang XP, Yang ZC. The dengue preface to endemic in mainland China: the historical largest outbreak by Aedes albopictus in Guangzhou, 2014. Infectious diseases of poverty. 2017 Dec;6(1):148. pmid:28934991
- 6.
Velayudhan R (2010). Dengue: the fastest growing mosquito-borne disease in the world. World Health Organisation. https://www.who.int/denguecontrol/news/integrated_media_2010_Dengue_vs_malaria/en/ Accessed at: 19 Dec 2018
- 7. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, Drake JM, Brownstein JS, Hoen AG, Sankoh O, Myers MF. The global distribution and burden of dengue. Nature. 2013 Apr;496(7446):504. pmid:23563266
- 8.
Geneva: World Health Organization (2018). Global vector control response 2017–2030. Licence: CC BY-NC-SA 3.0 IGO https://www.who.int/vector-control/publications/global-control-response/en/ Accessed at: 19 Dec 2018
- 9. Hales S, De Wet N, Maindonald J, Woodward A. Potential effect of population and climate changes on global distribution of dengue fever: an empirical model. The Lancet. 2002 Sep 14;360(9336):830–4. pmid:12243917
- 10. Schwartz LM, Halloran ME, Durbin AP, Longini IM Jr. The dengue vaccine pipeline: Implications for the future of dengue control. Vaccine. 2015 Jun 26;33(29):3293–8. pmid:25989449
- 11. Pang EL, Loh HS. Towards development of a universal dengue vaccine–How close are we?. Asian Pacific journal of tropical medicine. 2017 Mar 1;10(3):220–8. pmid:28442105
- 12.
World Health Organization Research and Development: Immunization, Vaccines and Biologicals, 5 Dec 2017. 2017. https://www.who.int/immunization/research/en/ Accessed at 30 Jan 2019
- 13. Wilder-Smith A, Hombach J, Ferguson N, Selgelid M, O'Brien K, Vannice K, Barrett A, Ferdinand E, Flasche S, Guzman M, Novaes HM. Deliberations of the strategic advisory group of experts on immunization on the use of CYD-TDV dengue vaccine. The Lancet infectious diseases. 2019 Jan 1;19(1):e31–8. pmid:30195995
- 14. Overgaard HJ, Olano VA, Jaramillo JF, Matiz MI, Sarmiento D, Stenström TA, Alexander N. A cross-sectional survey of Aedes aegypti immature abundance in urban and rural household containers in central Colombia. Parasites & vectors. 2017 Dec;10(1):356. pmid:28750651
- 15. Ngugi HN, Mutuku FM, Ndenga BA, Musunzaji PS, Mbakaya JO, Aswani P, Irungu LW, Mukoko D, Vulule J, Kitron U, LaBeaud AD. Characterization and productivity profiles of Aedes aegypti (L.) breeding habitats across rural and urban landscapes in western and coastal Kenya. Parasites & vectors. 2017 Dec;10(1):331. pmid:28701194
- 16. Chen CD, Benjamin S, Saranum MM, Chiang YF, Lee HL, Nazni WA, Sofian-Azirun M. Dengue vector surveillance in urban residential and settlement areas in Selangor, Malaysia. Tropical biomedicine. 2005;22(1):39–43. pmid:16880752
- 17. Hapuarachchi HC, Koo C, Rajarethinam J, Chong CS, Lin C, Yap G, Liu L, Lai YL, Ooi PL, Cutter J, Ng LC. Epidemic resurgence of dengue fever in Singapore in 2013–2014: a virological and entomological perspective. BMC infectious diseases. 2016 Dec;16(1):300. pmid:27316694
- 18.
Population and Population Structure. Department of Statistics Singapore. 27 Sep 2018. 2018. https://www.singstat.gov.sg/find-data/search-by-theme/population/population-and-population-structure/latest-data. Accessed at 30 Jan 2019.
- 19.
Climate of Singapore. Meteorological Service Singapore. 2019. http://www.weather.gov.sg/climate-climate-of-singapore/. Accessed at 30 Jan 2019.
- 20.
Households. Department of Statistics Singapore. 9 May 2018. 2018 https://www.singstat.gov.sg/find-data/search-by-theme/households/households/latest-data. Accessed at 30 Jan 2019.
- 21.
Housing around the world. Research and articles made by teoalida. Housing in Singapore. Sep 2018. 2018 https://www.teoalida.com/world/singapore/. Accessed at 30 Jan 2019.
- 22. Chan A, Chiang LP, Hapuarachchi HC, Tan CH, Pang SC, Lee R, Lee KS, Ng LC, Lam-Phua SG. DNA barcoding: complementing morphological identification of mosquito species in Singapore. Parasites & vectors. 2014 Dec;7(1):569. pmid:2549875
- 23.
Team, R.D.C. R: A language and Environment for Statistical Computing, in R foundation for Statisitcal Computing. 2008: Vienna, Austria.
- 24. Chan KL, Ho BC, Chan YC. Aedes aegypti (L.) and Aedes albopictus (Skuse) in Singapore city: 2. Larval habitats. Bulletin of the World Health Organization. 1971;44(5):629. pmid:5316746
- 25. Seng CM, Jute N. Breeding of Aedes aegypti (L.) and Aedes albopictus (Skuse) in urban housing of Sibu town, Sarawak. Southeast Asian Journal of Tropical Medicine and Public Health. 1994 Sep;25:543–. pmid:7777923
- 26. Rozilawati H, Tanaselvi K, Nazni WA, Masri SM, Zairi J, Adanan CR, Lee HL. Surveillance of Aedes albopictus Skuse breeding preference in selected dengue outbreak localities, peninsular Malaysia. Trop Biomed. 2015 Mar 1;32(1):49–64. pmid:25801254
- 27. Ishak H, Miyagi I, Toma T, Kamimura K. Breeding habitats of Aedes aegypti (L) and Aedes. albopictus (Skuse) in villages of Barru, South Sulawesi, Indonesia. The Southeast Asian journal of tropical medicine and public health. 1997 Dec;28(4):844–50. pmid:9656413
- 28. Kraemer MU, Sinka ME, Duda KA, Mylne AQ, Shearer FM, Barker CM, Moore CG, Carvalho RG, Coelho GE, Van Bortel W, Hendrickx G. The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus. elife. 2015 Jun 30;4:e08347. pmid:26126267
- 29. Higa Y. Dengue vectors and their spatial distribution. Tropical medicine and health. 2011;39(4SUPPLEMENT):S17–27. pmid:22500133
- 30. Ong J, Liu X, Rajarethinam J, Yap G, Ho D, Ng LC. A novel entomological index, Aedes aegypti Breeding Percentage, reveals the geographical spread of the dengue vector in Singapore and serves as a spatial risk indicator for dengue. Parasites & vectors. 2019 Dec;12(1):17. PMC6325748
- 31. Duncombe J, Clements A, Davis J, Hu W, Weinstein P, Ritchie S. Spatiotemporal patterns of Aedes aegypti populations in Cairns, Australia: assessing drivers of dengue transmission. Tropical Medicine & International Health. 2013 Jul;18(7):839–49. pmid:23617766
- 32. Reinhold JM, Lazzari CR, Lahondère C. Effects of the environmental temperature on Aedes aegypti and Aedes albopictus mosquitoes: a review. Insects. 2018 Dec;9(4):158. pmid:30404142
- 33. Chareonviriyaphap T, Akratanakul P, Nettanomsak S, Huntamai S. Larval habitats and distribution patterns of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse), in Thailand. Southeast Asian Journal of Tropical Medicine and Public Health. 2003 Sep;34(3):529–35. pmid:15115122
- 34. Dieng H, Rahman GS, Hassan AA, Salmah MC, Satho T, Miake F, Boots M, Sazaly A. The effects of simulated rainfall on immature population dynamics of Aedes albopictus and female oviposition. International journal of biometeorology. 2012 Jan 1;56(1):113–20. pmid:21267602
- 35. Aik J, Neo ZW, Rajarethinam J, Chio K, Lam WM, Ng LC. The effectiveness of inspections on reported mosquito larval habitats in households: A case-control study. PLoS neglected tropical diseases. 2019 Jun 26;13(6):e0007492. pmid:31242192