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Biological Invasions

, Volume 21, Issue 12, pp 3533–3543 | Cite as

Hypothesis: Do invasive house geckos exacerbate dengue fever epidemics?

  • Robbie WeteringsEmail author
  • Mike Barbetti
  • Hannah L. Buckley
Original Paper

Abstract

Dengue fever is a mosquito-borne disease that has undergone a marked rise in incidence since the 1950s, throughout the world’s tropical regions. Here, we present a hypothesis that this rise in incidence may have been exacerbated by the invasion of house geckos, due to their role in the mosquito vector food web. Previous research has shown that in the absence of a top predator, house geckos reach high densities, directly affecting spider densities and indirectly resulting in higher Aedes-mosquito densities. Hence, we expect that in areas where house geckos are invasive and an effective top predator is lacking, Aedes densities will be higher, resulting in a higher dengue fever incidence rate. We perform a preliminary test of this hypothesis by looking for patterns in secondary country-level data to estimate the global range of invasive house gecko species over time. We related these estimated ranges to variation in the number of per capita dengue cases in 80 different countries. The incidence of dengue was significantly higher in countries where house geckos were introduced, when compared with countries where it was either native or absent. In addition, in countries where house geckos were introduced earlier and had time to become naturalized, dengue fever incidence rates were higher than for countries where house geckos were introduced more recently. These results suggest that house geckos could indeed have played a role in the rise of dengue in tropical countries. Here, we present a framework for the required experimental research to test the mechanism underlying these observations.

Keywords

House geckos Hemidactylus Gehyra Dengue fever 

Notes

Acknowledgements

We would like to thank Dr. Bradley Case and Dr. Chanin Umponstira for their kind support, the Faculty of Agriculture, Natural Resources and Environment at Naresuan University, and the Cat Drop Foundation, for the funding and providing resources used in this study.

References

  1. Ahlburg A (1996) Demographic and social change in the island nations of the Pacific. Asia Pac Popul Res Rep 7:1–27Google Scholar
  2. Anderson DR (2008) Model based inference in the life sciences: a primer on evidence. Springer, New YorkCrossRefGoogle Scholar
  3. Angel S, Parent J, Civco DL, Blei AM (2012) Atlas of urban expansion. Library of congress cataloging-in-publication data, Lincoln Institute of Land Policy.  https://doi.org/10.5860/choice.50-1227
  4. Bartoń K (2013) MuMIn: multi-model inference. https://r-forge.r-project.org/R/?group_id=346. Accessed 12 Sept 2014
  5. Betanzos-Reyes ÁF, Rodríguez MH, Romero-Martínez M et al (2018) Association of dengue fever with Aedes spp. abundance and climatological effects. Salud Publica Mex 60:12–20.  https://doi.org/10.21149/8141 CrossRefPubMedGoogle Scholar
  6. Brunkard JM, Cifuentes E, Rothenberg SJ (2008) Assessing the roles of temperature, precipitation, and ENSO in dengue re-emergence on the Texas-Mexico border region. Salud Publica Mex 50:227–234.  https://doi.org/10.1590/S0036-36342008000300006 CrossRefPubMedGoogle Scholar
  7. Caillabet O (2013) The trade in tokay geckos in South-East Asia: with a case study on novel medicinal claims in Peninsular Malaysia. SelangorGoogle Scholar
  8. Canyon DV, Hii JLK (1997) The gecko: an environmentally friendly biological agent for mosquito control. Med Vet Entomol 11:319–323.  https://doi.org/10.1111/j.1365-2915.1997.tb00416.x CrossRefPubMedGoogle Scholar
  9. Case TJ, Bolger DT, Petren K et al (1994) Invasions and competitive displacement among house geckos in the tropical Pacific. Ecology 75:464–477CrossRefGoogle Scholar
  10. Christopher SR (1960) Aedes aegypti (L.) the yellow fever mosquito: its life history, bionomics and structure. Cambridge University Press, CambridgeGoogle Scholar
  11. Clements AN (2012) The biology of mosquitoes: volume 3, transmission of viruses and interactions with bacteria. CABI, WallingfordCrossRefGoogle Scholar
  12. Cole NC, Jones CG, Harris S (2005) The need for enemy-free space: the impact of an invasive gecko on island endemics. Biol Conserv 125:467–474.  https://doi.org/10.1016/j.biocon.2005.04.017 CrossRefGoogle Scholar
  13. Cox J, Grillet ME, Ramos OM et al (2007) Habitat segregation of dengue vectors along an urban environmental gradient. Am J Trop Med Hyg 76:820–826.  https://doi.org/10.4269/ajtmh.2007.76.820 CrossRefPubMedGoogle Scholar
  14. Cromwell EA, Stoddard ST, Barker CM et al (2017) The relationship between entomological indicators of Aedes aegypti abundance and dengue virus infection. PLoS Negl Trop Dis 11:1–22.  https://doi.org/10.1371/journal.pntd.0005429 CrossRefGoogle Scholar
  15. Cummings DAT, Irizarry RA, Huang NE, Endy TP, Nisalak A, Ungchusak K, Burke DS (2004) Travelling waves in the occurrence of dengue haemorrhagic fever in Thailand. Nature 427:344–347CrossRefGoogle Scholar
  16. FAO (2017). FAOSTAT—food and agriculture data. Food and Agriculture Organization of the United Nations, Rome. http://fenixservices.fao.org/faostat/static/bulkdownloads/FAOSTAT.zip Accessed 16 Dec 2017
  17. GBIF (2017). The global biodiversity facility: GBIF backbone taxonomy. Copenhagen. https://www.gbif.org/. Accessed 10 Dec 2017
  18. Hales S, de Wet N, Maindonald J, Woodward A (2002) Potential effect of population and climate changes on global distribution of dengue fever: an empirical model. Lancet 360:830–834CrossRefGoogle Scholar
  19. Herrera-Basto E, Prevots DR, Zarate ML, Silva JL, Sepulveda-Amor J (1992) First reported outbreak of classical dengue fever at 1,700 meters above sea level in Guerrero State, Mexico, June 1988. Am J Trop Med Hyg 46:649–653CrossRefGoogle Scholar
  20. Hoskin CJ (2011) The invasion and potential impact of the Asian House Gecko (Hemidactylus frenatus) in Australia. Austral Ecol 36:240–251.  https://doi.org/10.1111/j.1442-9993.2010.02143.x CrossRefGoogle Scholar
  21. Howard KG, Parmerlee JS, Powell R (2001) Natural history of the edificarian geckos Hemidactylus mabouia, Thecadactylus rapicauda, and Sphaerodactylus sputator on Anguilla. Caribb J Sci 37:285–288Google Scholar
  22. Meshaka WE Jr, Marshall SD, Boundy J, Williams AA (2006) Status and geographic expansion of the Mediterranean gecko, Hemidactylus turcicus, in Louisiana: implications for the southeastern United States. Herpetol Conserv Biol 1:45–50.  https://doi.org/10.1227/01.NEU.0000103445.25535.0E CrossRefGoogle Scholar
  23. Newbery B, Jones DN (2007) Presence of Asian house gecko Hemidactylus frenatus across an urban gradient in Brisbane: influence of habitat and potential for impact on native gecko species. In: Lunney D, Eby P, Hutchings P, Burgin S (eds) Pest or guest: the zoology over-abundance. Royal Zoological Society of New South Wales, Mosman, pp 59–65CrossRefGoogle Scholar
  24. Nijman V, Nekaris A (2012) Asian medicine: small species at risk. Nature 481:265CrossRefGoogle Scholar
  25. Padmanabha H, Durham D, Correa F et al (2012) The interactive roles of Aedes aegypti super-production and human density in dengue transmission. PLoS Negl Trop Dis 6:e1799.  https://doi.org/10.1371/journal.pntd.0001799 CrossRefPubMedPubMedCentralGoogle Scholar
  26. Patz JA (1996) Global climate change and emerging infectious diseases. JAMA J Am Med Assoc 275:217.  https://doi.org/10.1001/jama.1996.03530270057032 CrossRefGoogle Scholar
  27. R Development Core Team (2017) R: a language and environment for statistical computing. R Foundation for Statistical Computing, ViennaGoogle Scholar
  28. Reiskind MH, Wund MA (2009) Experimental assessment of the impacts of northern long-eared bats on ovipositing Culex (Diptera: Culicidae) mosquitoes. J Med Entomol 46:1037–1044.  https://doi.org/10.1603/033.046.0510 CrossRefPubMedPubMedCentralGoogle Scholar
  29. Rödder D, Solé M, Böhme W (2008) Predicting the potential distribution of two alien invasive house geckos (Hemidactylus frenatus, Hemidactylus mabouia) under climate change. North West J Zool 4:236–246Google Scholar
  30. Rogers DJ, Wilson AJ, Hay SI, Graham AJ (2006) The global distribution of yellow fever and dengue. Adv Parasitol 62:181–220CrossRefGoogle Scholar
  31. Rstudio (2017) RStudio: integrated development environment for R (version 1.1.383). RStudio, BostonGoogle Scholar
  32. Shaalan EAS, Canyon DV (2009) Aquatic insect predators and mosquito control. Trop Biomed 26:223–261PubMedGoogle Scholar
  33. Strickman D et al (1997) Bionomics of the spider, Crossopriza Lyoni (Araneae, Pholcidae), a predator of dengue vectors in Thailan. J Arachnol 25(194–20):1.  https://doi.org/10.2307/3705644 CrossRefGoogle Scholar
  34. Subramanean J, Reddy MV (2012) Monitor lizards and geckos used in traditional medicine face extinction and need protection. Curr Sci 102:1248Google Scholar
  35. Thavara U, Tawatsin A, Chansang C et al (2001) Larval occurrence, oviposition behavior and biting activity of potential mosquito vectors of dengue on Samui Island, Thailand. J Vector Ecol 26:172–180PubMedGoogle Scholar
  36. Tipayamongkholgu M, Lisakulruk S (2011) Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis. Geospat Health 5:191–198.  https://doi.org/10.4081/gh.2011.151 CrossRefGoogle Scholar
  37. Tkaczenko GK, Weterings R, Weterings R (2014) Prey preference of the common house geckos Hemidactylus frenatus and Hemidactylus Platyurus. Herpetol Notes 7:483–488Google Scholar
  38. Vanwambeke SO et al (2007) Impact of land-use change on dengue and Malaria in Northern Thailand. EcoHealth 4:37–51CrossRefGoogle Scholar
  39. Weterings R, Vetter KC (2017) Invasive house geckos (Hemidactylus spp.): their current, potential and future distribution. Curr Zool 64:407.  https://doi.org/10.1093/cz/zox067 CrossRefPubMedPubMedCentralGoogle Scholar
  40. Weterings R, Umponstira C, Buckley HL (2014a) Container-breeding mosquitoes and predator community dynamics along an urban-forest gradient: the effects of habitat type and isolation. Basic Appl Ecol 15:486–495.  https://doi.org/10.1016/j.baae.2014.07.006 CrossRefGoogle Scholar
  41. Weterings R, Umponstira C, Buckley HL (2014b) Predation on mosquitoes by common Southeast Asian house-dwelling jumping spiders (Salticidae). Arachnology 16:122–127CrossRefGoogle Scholar
  42. Weterings R, Umponstira C, Buckley HL (2018) Landscape variation influences trophic cascades in dengue vector food webs. Sci Adv 4:9CrossRefGoogle Scholar
  43. WHO (2014) Factsheet no. 117 dengue and severe dengue. World Health Organization, GenevaGoogle Scholar
  44. WHO (2017) DengueNet. World Health Organization, Geneva. http://www.who.int/denguenet. Accessed 14 Dec 2017
  45. World Bank (2017). World development indicators. World Bank, Washington. https://data.worldbank.org/indicator/. Accessed 14 Dec 2017
  46. Wu PC, Lay JG, Guo HR et al (2009) Higher temperature and urbanization affect the spatial patterns of dengue fever transmission in subtropical Taiwan. Sci Total Environ 407:2224–2233.  https://doi.org/10.1016/j.scitotenv.2008.11.034 CrossRefPubMedGoogle Scholar
  47. Zuur AF, Ieno EN, Walker N, Saveliev AA, Smith GM (2009) Mixed effects models and extensions in ecology with R. Springer, New YorkCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Cat Drop FoundationDrachtenThe Netherlands
  2. 2.Department of Natural Resources and EnvironmentNaresuan UniversityPhitsanulokThailand
  3. 3.School of ScienceAuckland University of TechnologyAucklandNew Zealand

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