Nocturnal biting rhythms of mosquitoes (Diptera Culicidae) in Sri Lanka

Amerasinghe, Felix P.; Indrajith, N. G.

doi:10.1080/03946975.1995.10539271

Cited by 7 publications

(6 citation statements)

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“…Its range extends from Sri Lanka, southern and eastern India and southern Nepal eastward to southern China (Hainan Island and Yunnan Province), south into Indonesia as far east as Babar Island in the southern Maluku archipelago. The species is present in Bangladesh [ 153 , 154 ], Bhutan, Cambodia [ 155 ], China, India [ 156 - 165 ], the Indonesia archipelago [ 83 , 166 - 174 ], including Alor, Babar, Bali, Flores, Java, southeast Kalimantan, Kisar, Lombok, Pantar, Sulawesi, Sumatra, Sumba, Sumbawa, Timor and Timor-Leste [ 92 ], Laos [ 175 ], peninsular Malaysia [ 100 , 176 , 177 ], Myanmar [ 178 ], Nepal [ 127 ], Singapore [ 80 ], Sri Lanka [ 10 , 179 ], Thailand [ 29 , 180 ] and Vietnam [ 150 , 181 , 182 ]. Although suitable habitats exist, An.…”

Section: Resultsmentioning

confidence: 99%

“…Females will feed on humans both inside and outside houses and in varying proportions, depending on location, generally with no strong preference reported [ 100 , 175 , 187 ]. Feeding can occur throughout the evening, typically beginning at dusk [ 100 , 176 ], with the majority of females feeding on humans before midnight [ 161 , 179 , 192 , 193 ] (Table 11 ). In Timor-Leste, peak feeding commonly occurred during the first hour of the evening and continued only sporadically for the remainder of the evening [ 92 ].…”

Section: Resultsmentioning

confidence: 99%

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The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis

Bangs²,

et al. 2011

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BackgroundThe final article in a series of three publications examining the global distribution of 41 dominant vector species (DVS) of malaria is presented here. The first publication examined the DVS from the Americas, with the second covering those species present in Africa, Europe and the Middle East. Here we discuss the 19 DVS of the Asian-Pacific region. This region experiences a high diversity of vector species, many occurring sympatrically, which, combined with the occurrence of a high number of species complexes and suspected species complexes, and behavioural plasticity of many of these major vectors, adds a level of entomological complexity not comparable elsewhere globally. To try and untangle the intricacy of the vectors of this region and to increase the effectiveness of vector control interventions, an understanding of the contemporary distribution of each species, combined with a synthesis of the current knowledge of their behaviour and ecology is needed.ResultsExpert opinion (EO) range maps, created with the most up-to-date expert knowledge of each DVS distribution, were combined with a contemporary database of occurrence data and a suite of open access, environmental and climatic variables. Using the Boosted Regression Tree (BRT) modelling method, distribution maps of each DVS were produced. The occurrence data were abstracted from the formal, published literature, plus other relevant sources, resulting in the collation of DVS occurrence at 10116 locations across 31 countries, of which 8853 were successfully geo-referenced and 7430 were resolved to spatial areas that could be included in the BRT model. A detailed summary of the information on the bionomics of each species and species complex is also presented.ConclusionsThis article concludes a project aimed to establish the contemporary global distribution of the DVS of malaria. The three articles produced are intended as a detailed reference for scientists continuing research into the aspects of taxonomy, biology and ecology relevant to species-specific vector control. This research is particularly relevant to help unravel the complicated taxonomic status, ecology and epidemiology of the vectors of the Asia-Pacific region. All the occurrence data, predictive maps and EO-shape files generated during the production of these publications will be made available in the public domain. We hope that this will encourage data sharing to improve future iterations of the distribution maps.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis

Bangs²,

et al. 2011

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“…(2016) Culex p. molestus Robinson (2005), Gomes et al (2013) Culex perexiguus Muñoz et al (2012), Ammar et al (2012) Culex perfuscus Hopkins (1952), Diallo et al (2014), Service (1993) Culex pipiens Harbach (1988), Anderson et al (2007) Culex poicilipes Muturi et al (2008), Yamar et al (2005), Chevalier et al (2004) Culex pruina Wanson and Lebred (1946) Culex pseudovishnui Fakoorziba and Vijayan (2008), Reisen et al (1976), Amerasinghe and Indrajith (1995), Reuben et al (1992) Culex pullus Johansen et al (2009), Webb et al (2016) Culex quinquefasciatus Flordia Medical Entomology Laboratory (2016), DeGroote and Sugumaran (2012) Culex restuans Apperson et al (2002), Ebel et al (2005), Kilpatrick et al (2005), Molaei et al (2008) Culex rubinotus Jupp et al (1976) Culex salinarius Rochlin et al (2008), Mackay et al (2010), Rey et al (2006) Culex sitiens NSW Health (2016), Prummongkol et al (2012) Culex spissipes Takahashi (1968), Degallier et al (1978) Culex squamoses NSW Health (2016), Jansen et al (2009) Culex taeniopus Davies (1978), 1975), Lopes (1996)…”

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confidence: 99%

Data-driven identification of potential Zika virus vectors

Evans

Dallas

Han

et al. 2017

eLife

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Zika is an emerging virus whose rapid spread is of great public health concern. Knowledge about transmission remains incomplete, especially concerning potential transmission in geographic areas in which it has not yet been introduced. To identify unknown vectors of Zika, we developed a data-driven model linking vector species and the Zika virus via vector-virus trait combinations that confer a propensity toward associations in an ecological network connecting flaviviruses and their mosquito vectors. Our model predicts that thirty-five species may be able to transmit the virus, seven of which are found in the continental United States, including Culex quinquefasciatus and Cx. pipiens. We suggest that empirical studies prioritize these species to confirm predictions of vector competence, enabling the correct identification of populations at risk for transmission within the United States.DOI: http://dx.doi.org/10.7554/eLife.22053.001

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“…subalbatus at the.westerns and easternlo extremes of its range, a s well a s in Indian and the dry zone of Sr.i Lanka. 5 The patterns for An. aconitus and An.…”

Section: Discussionmentioning

confidence: 99%

Nocturnal Biting Rhythms of Six Mosquito Species (Diptera: Culicidae) in Kandy, Sri Lanka

Amerasinghe¹,

Munasingha²

1994

J. Natn. Sci. Foundation Sri Lanka

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Nocturnal biting rhythms of 6 mosquito species were studied a t 3 sites around the city of Kandy in central Sri Lanka from June 1986 to May 1987. Two-man teams working in relays aspirated mosquitoes biting a tethered calf during a 12h cycle extending from 1800 to 0600 h a t each site. Catches were segregated a t hourly intervals. Only cycles that contained >20 females of a particular species, and sites that contained >5 such cycles were analyzed for that species. Most of the biting activity in Armigeres subalbatus (n = 7,549) and Anopheles vagus (n = 10,153) occurred during the hour after sunset or before sunrise. Consistent biting activity occurred throughout the night in the other species with a distinct late night peak inAn. aconitus(n = 1,376), andcrepuscular peaks in An. peditaeniatus (n = 3,252), Culex fuscocephala (n = 17,639) and Cx. tritaeniorhynchus (n = 10,504). Site-related differencesin the biting pattern were seen in Cx. fuscocephala and Cx. tritaeniorhynchus but not in the other species. I t was concluded that biting activity was governed by a strong endogenous rhythm in the Armigeres andAnopheles species studied, and showed basically similar patterns at different sites. The biting pattern was 'more variable in the two Culex species, indicating-that exogenous factors could substantially modify this activity.

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Nocturnal biting rhythms of mosquitoes (Diptera Culicidae) in Sri Lanka

Cited by 7 publications

References 20 publications

The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis

The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis

Data-driven identification of potential Zika virus vectors

Nocturnal Biting Rhythms of Six Mosquito Species (Diptera: Culicidae) in Kandy, Sri Lanka

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