Dengue has been a major public health concern in Australia. This study has explored the spatio-temporal trends of dengue and potential socio- demographic and ecological determinants in Australia. Data on dengue cases, socio-demographic, climatic and land use types for the period January 1999 to December 2010 were collected from Australian National Notifiable Diseases Surveillance System, Australian Bureau of Statistics, Australian Bureau of Meteorology, and Australian Bureau of Agricultural and Resource Economics and Sciences, respectively. Descriptive and linear regression analyses were performed to observe the spatio-temporal trends of dengue, socio-demographic and ecological factors in Australia. A total of 5,853 dengue cases (both local and overseas acquired) were recorded across Australia between January 1999 and December 2010. Most the cases (53.0%) were reported from Queensland, followed by New South Wales (16.5%). Dengue outbreak was highest (54.2%) during 2008–2010. A highest percentage of overseas arrivals (29.9%), households having rainwater tanks (33.9%), Indigenous population (27.2%), separate houses (26.5%), terrace house types (26.9%) and economically advantage people (42.8%) were also observed during 2008–2010. Regression analyses demonstrate that there was an increasing trend of dengue incidence, potential socio-ecological factors such as overseas arrivals, number of households having rainwater tanks, housing types and land use types (e.g. intensive uses and production from dryland agriculture). Spatial variation of socio-demographic factors was also observed in this study. In near future, significant increase of temperature was also projected across Australia. The projected increased temperature as well as increased socio-ecological trend may pose a future threat to the local transmission of dengue in other parts of Australia if Aedes mosquitoes are being established. Therefore, upgraded mosquito and disease surveillance at different ports should be in place to reduce the chance of mosquitoes and dengue cases being imported into all over Australia.
Citation: Akter R, Naish S, Hu W, Tong S (2017) Socio-demographic, ecological factors and dengue infection trends in Australia. PLoS ONE 12(10): e0185551. https://doi.org/10.1371/journal.pone.0185551
Editor: Richard Paul, Institut Pasteur, FRANCE
Received: March 1, 2017; Accepted: September 14, 2017; Published: October 2, 2017
Copyright: © 2017 Akter 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: Epidemiological aggregated data are available from http://www9.health.gov.au/cda/source/cda-index.cfm. All other socio-demographic and ecological information are available from the relevant organizations mentioned below: Dengue data- http://www9.health.gov.au/cda/source/rpt_4.cfm Climate data- http://www.bom.gov.au/climate/data/stations/ Projected Climatic condition- https://www.climatechangeinaustralia.gov.au/en/climate-projections/explore-data/data-download/station-data-download/ Socio-demographic- http://www.abs.gov.au/websitedbs/censushome.nsf/home/historicaldata?opendocument Land use data -http://www.agriculture.gov.au/abares/aclump/land-use/.
Funding: The study was funded by Australian Government Research Training program (RTP) previously known as Australian Postgraduate Award (APA). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors declared that they have no competing interests.
Dengue is a significant health issue for mankind mostly in tropical and subtropical regions of the world . Globally, dengue caused 390 million infections annually in more than 125 countries . The severity of dengue incidence has increased 30 fold in the past 50 years  and distribution has been expanded to previously unoccupied and less warm countries, for example, European countries .
Dengue transmission dynamics are complex, involving virus, vector and host. Four closely related dengue viruses under the family flaviridae are responsible for dengue transmission. Dengue virus is transmitted between humans by the domesticated and fresh water breeding mosquito species, Aedes aegypti (primary vector) and Aedes albopictus (secondary vector) . All of these parameters (virus, vector and human host) are influenced by climatic (temperature, rainfall and relative humidity), human-related, socio-economic, demographic and ecological factors [5, 6]. Climate, especially, temperature accelerates the mosquito bite, development rates, mortality, and behaviour and control the reproductive capacity of the virus within the mosquito [7, 8]. Climate also brings changes in human behaviour and life style which in turn influence the dengue transmission dynamics. For example, increased urban water hoarding in response to climate change (e.g., decreased rainfall or drought) can increase the number of productive larval sites if provisions are not made to eliminate this risk. As a result, even small amount of rain may lead to increase of A. aegypti densities .
In Australia, dengue was first introduced by ship from Mauritius in 1873 . The first local outbreaks occurred at Townsville and Rockhampton in Queensland in 1879 and 1885, respectively. Historically, dengue was present in Western Australia, New South Wales and Northern Territory during late nineteenth century and early twentieth century. However, epidemic outbreaks were reported during 1925–1926 in New South Wales and distribution was extended towards southward including Newcastle. Reticulated water supply instead of rainwater tanks has been considered as one of the reasons behind the disappearance of local transmission of dengue from New South Wales, Western Australia, Northern Territory and Queensland . Dengue re-emerged in northern Queensland during 1981–1982  and since then dengue has been transmitted locally whereas in other states, it is overseas-acquired. Several researchers have studied the future distribution of Aedes mosquitos under future climate change scenarios in Australia and suggested that dengue distribution could expand to the west and south in coming decades , while some others have predicted that the disease could expand to other regions and even throughout the country [12, 13]. A recent study predicted that future distribution of Aedes mosquito could expand to East coast of Australia including Queensland, Northern Territory, Australian Capital Territory and New South Wales .
Evidence from the literature indicates a significant involvement of socio-demographic and ecological factors in dengue transmission around the world  including: climate especially temperature [16–20] and rainfall ; urbanisation [6, 21–24]; movement of vectors and hosts via travel [6, 21–24]; land use or land cover change [25– 29]; house types or density [30, 31]; population density [6, 21, 22]; Indigenous population ; socio-economic conditions [17, 33–35] and water storage behaviour . Climate change and globalisation through improved transportation and human movements will favour the distribution of vector mosquito and dengue virus to other parts of Australia. Human behaviour and life style as well as installation of increased number of rainwater tanks could provide favourable conditions for mosquitoes to habitat and breed and hence could increase the chance of biting. Availability of potential socio-demographic and ecological factors could lead to initiatiation of local transmission of dengue through establishment of mosquito population to other parts of Australia due to increasing trend of transportation and globalisation. In recent times, establishment of A. albopictus in Torres Strait Island [36, 37] as well as several incursions of A. albopictus in different ports such as Cairns, Brisbane, Townsville, Sydney, Darwin and Melbourne has exacerbated the risk of establishment of this mosquito in mainland Australia. Even though, dengue is not endemic in Austrlia and the number of cases are very low compared to dengue endemic countries in Asia-Pacific region, it should be noted that under favourable climatic and socio-ecological conditions as well as in the possible establishment of A. albopictus within Australia, this number could be beyond our control like in USA . Therefore, it is necessary to explore the recent trend and spatio-temporal distribution of potential socio- demographic and ecological factors on dengue infection in Australia to understand the future severity of dengue risk to undertake preventive control measures. Hence, in this paper we aimed to evaluate the epidemiology of dengue, assess the trend of potential socio-demographic, ecological predictors, and explore the future vulnerability of dengue in Australia.
Materials and methods
Australia, officially known as the Commonwealth of Australia , is an Island Continent. It is located south of the Equator and bounded by the Indian Ocean to the west and Pacific Ocean in the east. It is the world's sixth-largest country by total area. Neighbouring countries include Papua New Guinea, Indonesia and East Timor to the north; the Solomon Islands and Vanuatu to the north-east; and New Zealand to the south-east. It occupies cool temperate to tropical climates from 10° to 43° south latitudes and from 112° to 153° east longitudes. Australia is comprised of 6 states: New South Wales (NSW), South Australia (SA), Queensland (QLD), Western Australia (WA), Victoria (VIC) and Tasmania (TAS), and 2 territories: The Australian Capital Territory (ACT) and the Northern Territory (NT). It consists of four typical seasons in a year: summer: December to February; autumn: March to May; winter: June to August and spring: September to November.
Dengue is a nationally notifiable disease in Australia since 1993 . A confirmed case requires clinical evidence and laboratory confirmation. Laboratory methods include virus isolation, nucleic acid testing, detection of dengue non-structural protein 1 (NS1) antigen, dengue virus-specific IgG seroconversion. All the laboratory-confirmed cases are required to be reported to health departments within each state and territory under Public Health Act 2005. Dengue cases at state level were obtained from Australia’s National Notifiable Disease Surveillance Systems (NNDSS) for the period January 1999 to December 2010 (11 years). This study period was chosen due to the availability of all the datasets. Both overseas-acquired and locally-transmitted cases of dengue were documented in Queensland whereas in other regions, it was only overseas-acquired. However, local transmission of dengue in Queensland often initiates by Aedes mosquito bites of infected travellers .
Annual mean minimum, maximum temperature and mean rainfall for all capital cities of Australia for the study period were obtained from the Australian Bureau of Meteorology. Then mean temperature was calculated. Capital cities were selected as representative of the entire state as most of the population lives in and around the capital cities. Projection of the climatic conditions under Representative Concentration Pathways (RCP) 4.5 for 2020–2039 was also obtained from Climate change in Australia website (https://www.climatechangeinaustralia.gov.au/en/climate-projections/explore-data/data-download/station-data-download/)
Socio-demographic data including population (cat. no. 3218.0), income, housing structure, Indigenous status (cat. no. 4705.0) at state level for the national census years 2001, 2006 and 2011were obtained from Australian Bureau of Statistics (ABS) . Income and housing structure for each state were gathered from ABS through community profiles, which give time series statistics for the census years. Data on number of households having rain water tank for each state for the study period 1999–2010 were obtained from ABS, Environmental issues: People’s view and Practices, 1998, 2001, 2004, 2010 (cat. no. 4602). This is a publication of ABS where households were surveyed and the households having water tank data were analysed. For the remaining years, data were estimated using linear interpolation. Overseas visitors (cat no. 3105.0.65.001.) and interstate arrival data for the period 1999–2010 were also obtained from ABS.
Land use raster data and data processing.
Recent evidence suggested that land use types are associated with dengue [17, 43–46]. Different types of agricultural land use, water bodies and forest other than residential areas are found to be associated with reported dengue . Therefore, it is necessary to consider land use types in relation to dengue. Among the three land use types in Australia, we focused on a broad category such as primary land use types to draw an overall picture of dengue and land use trends in Australia.
Land use raster data for the period of 1998–2011 were obtained from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) (http://www.agriculture.gov.au/abares/aclump/land-use/). To obtain the percentage of land use types at different states of Australia, a vector data file, based on Australian Geographic Classification 2011, was obtained from Australian Bureau of Statistics. To ensure the spatial alignment, both vector and land use raster data were projected into GDA_1994_Albers. Then Tabulate Intersection Tool in ArcGIS (version 10.2, 2013) was used to get the percentage of each land use types by states. Land use maps are not available for each year. Therefore, 2001–2002 land use data was used as representative for the period of 2002–2004.
State-wide dengue, socio-demographic and ecological data were analysed using frequencies for the entire study period (1999–2010) and by sub periods (1999–2001, 2002–2004, 2005–2007 and 2008–2010) for the ease of investigation of spatial and temporal patterns of dengue and potential socio-ecological factors linked to dengue. For temporal trend analysis, linear regression line was fitted. State-wide incidence rates of dengue were calculated within each period as following: = (total number of dengue cases/total person-years)*100,000 and then mapped.
For mapping purposes, state-wide socio-demographic factors were calculated as following: (total number of the factors/ total person-years)*100. Additionally, households having rainwater tanks, the denominator was the total number of households rather than total person-years. All the analyses were performed using SPSS (version 22, 2013) and Excel software. ArcGIS (version 10.2, 2013) was used for visualisation of the socio-demographic and ecological factors.
During the study period, a total of 5,853 dengue cases were reported in Australia with the highest number of dengue cases in QLD (n = 3,118) followed by NSW (n = 968). The highest number of interstate arrivals was recorded in QLD (n = 1,219,579) whereas NSW had higher overseas arrivals (n = 49,776,691). Both NSW and QLD had nearly the same number of households with rainwater tanks (n = 4,325.6 and 4,390.7, respectively). Highest number of Indigenous people were recorded in NSW (n = 1,623,888) followed by QLD (n = 1,505,293.2). NSW has the highest number of separate houses (n = 20,351,805) and terrace houses (2,838,154). Most of the people with weekly income above AUD$2500 lived in NSW (n = 1,612,305), followed by VIC (n = 1,065,687.02) (Table 1).
Among four different time periods, 2008–2010 period had the highest percentage of dengue cases (n = 3190.00, 54.22%). Similarly, socio-demographic factors such as overseas arrivals (n = 36894188.00, 29.99%), households having rainwater tanks (n = 6302.60, 33.91%), Indigenous populations, (n = 1532379.60, 28.42%), terrace house types (n = 2298925.20, 27.91%) and economically advantage peoples (1949668.20, 42.79%) had its highest percentage during this period (Table 2).
Table 3 shows the percentage of primary land use types across different states of Australia during 1999–2010. A decreasing trend of production from natural environments was observed.
Table 4 shows the descriptive statistics for annual climatic conditions during the period 1999–2010 and short-term future projections for 2020–2039 in capital cities of Australia. During 1999–2010, the highest average annual mean temperature was observed in Darwin (27.70°C) and lowest in Canberra (8.86°C). Similarly, the highest average annual mean temperature was projected for Darwin (32.96°C) and lowest for Canberra (12.24°C) for 2020–2039. Except Hobart and Canberra, the average annual mean temperature across different states is quite similar with a difference of 1–3°C during 1999–2010. The highest amount of annual rainfall was observed in Darwin (1780.94mm) and the lowest in Adelaide (537.57mm).
Temporal trend analysis
Fig 1 displays the monthly epidemic patterns of dengue cases in Australia during 1999–2010. The largest epidemic was in 2009 with 388 cases across Australia. The temporal analysis clearly shows the seasonal variation of dengue cases and the dengue outbreaks mostly occurred during November to April of the year which could be explained by heavy rainfall in summer (December- February) and overseas visits of the most of the Australian residents during Christmas and summer school holidays.
Fig 2 shows an upward trend in the temporal distribution of dengue incidence and potential socio-demographic factors such as households having rainwater tanks, overseas arrivals, Indigenous populations and terrace houses.
Table 4 shows remarkable differences among the temperature changes during historic and projected periods. The projected temperature was highest for Darwin, followed by Brisbane. However, projected rainfall data is unavailable for the study areas.
Time series linear regression analyses results indicate that there was a significant increase of dengue and potential socio-demographic factors such as households having rainwater tanks, overseas arrivals, Indigenous populations and terrace house and economically advantage people. However, per year increasing trend of dengue in QLD was not statistically significant, which might be due to major outbreaks in 2003 and 2009 in this state. Per year increasing rate of dengue in QLD (β = 35.92) is one and half times higher compared to NSW (β = 14.67). NSW had highest increasing rate of overseas arrivals (β = 140.17) and terrace house types (β = 5.49). However, for Indigenous populations and households having rainwater tanks, QLD had the highest increasing trend of Indigenous people (β = 5529.4) and rainwater tanks (β = 31.6) compared to subsequent comparator NSW (Table 5).
Among six primary land use types, only intensive uses, and production from dryland agriculture and plantations showed an overall increasing trend across different states of Australia. However, changes are not statistically significant (p>0.05) apart from production from relatively natural environments, and conservation and natural environments land use types in some states (Table 5).
Fig 3 depicts the spatial patterns of dengue, socio-demographic and ecological factors in four different time periods during 1999–2010. Over the study period, incidence rates were high in NT. QLD and NSW had highest percentage of overseas arrivals and spatial distribution illustrates the overall expansion of overseas arrivals to other states. Percentage of households with rainwater tanks showed spatial variation during the study period with highest percentage of rainwater tanks in SA. Highest percentage of economically advantage peoples showed geographical expansion. Terrace house types also showed spatial variation with highest percentage in SA over the study period (Fig A in S1 Fig). Spatial variation of proportion of separate houses (Fig B in S1 Fig), interstate arrivals (Fig C in S1 Fig), and Indigenous populations (Fig D in S1 Fig) remains static over the four different time periods. However, spatio-temporal variation of land use types across states is difficult to explain because of insignificant changes of land use types (S2 Fig).
This study has demonstrated the spatial, temporal trend of dengue and its potential socio-demographic and ecological determinants across Australia. Overall, an increasing trend of dengue and potential socio-demographic factors such as overseas arrivals, number of households having rainwater tanks and house types were observed across Australia.
Overseas and interstate arrivals are important factors in disseminating dengue in Australia. In Australia, dengue outbreaks initiate through the mosquito bites that transmits dengue virus, which was imported by infected travellers from dengue endemic countries . Our results indicated an overall increasing trend of overseas arrivals across Australia with highest number of overseas arrivals in NSW followed by QLD (Table 1).
Travels including illegal shipping, cargo vessels and refugee boats not only increase the chance of virus distribution to other non-exposed states but also increase the risk of exotic mosquito importation into Australia. Even with upgraded inspection protocol placed in different ports, many ports in Australia, including Darwin, are not compliant. As a result, several interception and incursion of A. aegypti mosquitoes were reported from NT; 16 interceptions of exotic mosquitoes (A. aegypti and A. albopictus) in Darwin during 1998–2000; incursion of A. aegypti in 2004 in Tenant Creek, and in Groote Eylandt in 2006 . Most recently, numerous incursions of A. aegypti occurred into towns of NT . Although, all of the Aedes species were eliminated after intensive property inspections and elimination campaigns, mosquito could re-emerge in this place because of the extreme survival capacity of Aedes eggs, which can even be survived without water for several months . Under these circumstances, it is not impractical to think that what happened to the vector of Ross River Virus , could happen for dengue. Therefore, upgraded inspection and surveillance should be placed in different ports across Australia with special emphasize in QLD because of local transmission and in NT due to frequent occurrence of Aedes mosquito in recent times. This may help to prevent the re-establishment of A. aegypti mosquito to other parts of Australia especially, NSW, NT and other parts of Australia.
During the study period, the number of households having rainwater tanks also showed an increasing trend across Australia which could increase the dengue transmission under projected climate change as evidence suggested that water vessels provide the breeding sites for mosquitoes [50–53]. According to future climate projection for Australia for the period 2020–2039 (Table 4), all the states and Territories except TAS and ACT will have favourable temperature (>16°C) for dengue virus transmission . To adapt with changed climate as well as legislation due to water scarcity, installation of rainwater tanks could be increased in future which could possibly be supportive factors for dengue transmission. Currently, the trend of prolific water storage is similar to earlier years (1904–1943) when A. aegypti was present and dengue epidemics were common in Brisbane . Even though recently installed rainwater tanks maintain the Australian Standards (Queensland Public Health Act 2005 and the Public Health Regulation 2005, however, 50 out of 807 rainwater tanks inspected in Brisbane are found to be non-compliant with Australian legislation  and over time more rainwater tanks may become defective, as evidenced elsewhere . Evidence from the literature has suggested different housing types are important predictors of dengue transmission [30, 31, 57]. From this study, it is clear that terrace houses are most commonly found in NSW, VIC and QLD and followed an increasing trend. This terrace house could potentially increase the future dengue risk in these states because of its unique design, capability to store water which is favourable for mosquito breeding .
Land use or land cover changes can potentially affect human health in relation to dengue by influencing the mosquito’s habitat . Several researchers have found significant relationship with dengue transmission and land use or land cover types [26–29, 58, 59]. Land cover such as residential area per capita, construction area, shrubs, grassland (wet), water area, and cropland (paddy field) have been found as significant predictors of dengue transmission . In this study, only intensive uses, and production from dryland agriculture and plantations showed an overall increasing trend. However, further study regarding land use types and their impacts on dengue infections is required.
Socio-economic factors are also responsible for variation of dengue transmission [17, 34, 35]. Hu et al.,  have used Socio-economic Index for Areas (SEIFA) in Australia and found that for each unit increase of SEIFA, overseas acquired cases of dengue were increased by 1%. It is explained that economically rich people could have more chance to travel overseas and outdoor activities which in turn have increased the chance of exposure to mosquito bites and thereby increasing the chances of acquiring dengue. In support of this, our study has also found that NSW has higher number of overseas acquired dengue cases which could be due to higher number of economically advantaged people (Table 1).
From the study, it is appeared that potential socio-ecological factors followed an increasing trend and highest number of all of these factors, except interstate visitors, was higher in NSW. Interstate visitors are highest in QLD where dengue mosquito A. aegypti are present and every year frequent outbreaks occur in this region. Geographically, NSW is close to QLD. Climate change, movement of population, urbanisation, and transportation system aids the establishment and expansion of geographical range of Aedes mosquito [21, 39]. This may result in expansion of dengue mosquito to other parts of Australia especially NSW where climates are favourable and potential socio-ecological factors are already present to provide the ecological niche for mosquito. This may in turn increase the occurrence of dengue cases with local transmission in near future owing to trends toward increased terrace houses, upgraded socio-economic status, urbanisation, water tank installation and, possibly, environmental change.
This is the first study that demonstrated the spatial and temporal trend of dengue and potential socio-demographic and ecological factors at state level in Australia; further indicated the probable future trend of dengue under projected climate change, consequent socio- demographic and ecological changes. The increasing trend of socio- demographic and ecological factors such as overseas arrivals, households having rainwater tank, increased number of economically sufficient people may pose a future threat on local transmission of dengue in other states previously unoccupied by Aedes mosquitoes. This study is an impetus for future investigation of socio-demographic and ecological impacts on dengue in a comprehensive manner. It will improve the accuracy of the predictive model for developing early warning systems; and hence improve the existing surveillance and disease prevention efforts.
This study has some limitations. As an ecological study, this study is subject to measurement and information biases. For example, underreporting is common as asymptomatic dengue patient never seek medical attention. Use of aggregated data at large spatial scale (state level) could lead to biasness in terms of variation in space. In this study, primary land use types, a broad category, was used to obtain an insight of the changes over time. However, our future study is aiming to explore in detail the land use types and their relationship with dengue at Local Government Area level in Queensland depending on quality and availability of the data. It is not clear whether the most cases are coming from urbanised area, therefore further analysis at small spatial scale with more specific land use types such as residential area or agricultural areas are required.
In conclusion, this study illustrated the spatio-temporal trend of dengue, potential socio-demographic and ecological factors across Australia. Spatial variation and increased temporal trend of socio-ecological factors under projected increased temperature may pose a future threat on local transmission of dengue across Australia if distribution of Aedes mosquitoes expanded to other parts of Australia under changed climate and owing to availability of socio-ecological factors. Overall, this study shows the direction and importance of placing upgraded mosquito surveillance at different ports to reduce the chance of vector mosquitoes being imported all over Australia.
S1 Fig. Maps showing the spatial variation of socio-demographic and ecological factors over different time periods (1999–2001; 2002–2004; 2005–2007; 2008–2010) across Australia.
A. Terrace house; B. separate house; C. interstate arrivals; D. Indigenous populations.
S2 Fig. Maps showing the spatial variation of land use change.
S1 Table. Summary statistics of temporal trend analysis for socio-demographic factors.
Author (RA) is thankful to Australian Government for the financial support provided by Australian Government Research Training program (RTP) previously known as Australian Postgraduate Award (APA). Author acknowledges the contributions of state and territory communicable disease control units, Australia.
- 1. WHO. Global strategy For dengue prevention and control 2012–2020 2012. http://apps.who.int/iris/bitstream/10665/75303/1/9789241504034_eng.pdf.
- 2. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature. 2013;496(7446):504–07. pmid:23563266
- 3. La Ruche G, Souarès Y, Armengaud A, Peloux-Petiot F, Delaunay P, Desprès P, et al. First two autochthonous dengue virus infections in metropolitan France, September 2010. Euro Surveillance. 2010;15(39):19676. pmid:20929659
- 4. WHO. Comprehensive guidelines for prevention and control of dengue and dengue haemorrhagic fever. 2011. http://apps.searo.who.int/pds_docs/B4751.pdf?ua=1
- 5. Gubler DJ. Dengue, urbanization and globalization: the unholy trinity of the 21 st century. Tropical Medicine and Health. 2011;39:S3–S11.
- 6. Mackenzie JS, Gubler DJ, Petersen LR. Emerging flaviviruses: the spread and resurgence of Japanese encephalitis, West Nile and dengue viruses. Nature Medicine. 2004;10:S98–S109. pmid:15577938
- 7. Patz JA, Martens W, Focks DA, Jetten TH. Dengue fever epidemic potential as projected by general circulation models of global climate change. Environmental Health Perspectives. 1998;106(3):147–53. pmid:9452414
- 8. Tun‐Lin W, Burkot T, Kay B. Effects of temperature and larval diet on development rates and survival of the dengue vector Aedes aegypti in north Queensland, Australia. Medical and Veterinary Entomology. 2000;14(1):31–37. pmid:10759309
- 9. Beebe NW, Cooper RD, Mottram P, Sweeney AW. Australia's Dengue Risk Driven by Human Adaptation to Climate Change. PLoS Neglected Tropical Diseases. 2009;3(5):e429. pmid:19415109
- 10. Cunningham AL. Dengue in Australia. Journal of Medical Microbiology. 1996;45:159–61. pmid:8810940
- 11. Bambrick HJ, Woodruff RE, Hanigan IC. Climate change could threaten blood supply by altering the distribution of vector-borne disease: an Australian case-study. Global Health Action. 2009;2:1–11.
- 12. Woodruff R, Hales S, Butler C, McMichael A. Climate change health impacts in Australia: effects of dramatic CO2 emission reductions: Springer Netherlands; 2005.
- 13. Kearney M, Porter WP, Williams C, Ritchie S, Hoffmann AA. Integrating biophysical models and evolutionary theory to predict climatic impacts on species’ ranges: the dengue mosquito Aedes aegypti in Australia. Functional Ecology. 2009;23(3):528–38.
- 14. Kraemer MUG, Sinka ME, Duda KA, Mylne AQN, Shearer FM, Barker CM et al: The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus. eLife 2015, 4:e08347. pmid:26126267
- 15. Akter R, Hu W, Naish S, Banu S, Tong S. Joint effects of climate variability and socio‐ecological factors on dengue transmission: Epidemiological evidence. Tropical Medicine and International Health. 2017;22 (6): 656–69. pmid:28319296
- 16. Wu PC, Lay JG, Guo HR, Lin CY, Lung SC, Su HJ. Higher temperature and urbanization affect the spatial patterns of dengue fever transmission in subtropical Taiwan. Science of the total Environment. 2009;407(7):2224–33. pmid:19157509
- 17. Hu W, Clements A, Williams G, Tong S, Mengersen K. Spatial Patterns and Socioecological Drivers of Dengue Fever Transmission in Queensland, Australia. Environmental Health Perspectives. 2012;120(2):260–66. pmid:22015625
- 18. Li S, Tao H, Xu Y. Abiotic determinants to the spatial dynamics of dengue fever in Guangzhou. Asia-Pacific Journal of Public Health. 2013;25(3):239–47. pmid:21852418
- 19. Sirisena P, Noordeen F, Kurukulasuriya H, Romesh TA, Fernando L. Effect of Climatic Factors and Population Density on the Distribution of Dengue in Sri Lanka: A GIS Based Evaluation for Prediction of Outbreaks. PloS one. 2017;12(1):e0166806. pmid:28068339
- 20. Eastin MD, Delmelle E, Casas I, Wexler J, Self C. Intra- and interseasonal autoregressive prediction of dengue outbreaks using local weather and regional climate for a tropical environment in Colombia. The American journal of Tropical Medicine and Hygiene. 2014;91(3):598–10. pmid:24957546
- 21. Guzman MG, Harris E. Dengue. The Lancet. 2015;385(9966):453–65.
- 22. Gubler D. Dengue, urbanization and globalization: The unholy trinity of the 21st century. International Journal of Infectious Diseases. 2012;16:e2–e157.
- 23. Reiner RC, Smith DL, Gething PW. Climate change, urbanization and disease: summer in the city…. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2015;109(3):171–72. pmid:25491136
- 24. Reiter P. Climate change and mosquito-borne disease. Environmental Health Perspectives. 2001;109(Suppl 1):141–61.
- 25. Vanwambeke SO, Lambin EF, Eichhorn MP, Flasse SP, Harbach RE, Oskam L, et al. Impact of land-use change on dengue and malaria in northern Thailand. Ecohealth. 2007;4(1):37–51.
- 26. Vanwambeke SO, Bennett SN, Kapan DD. Spatially disaggregated disease transmission risk: land cover, land use and risk of dengue transmission on the island of Oahu. Tropical Medicine and International Health. 2011;16(2):174–85. pmid:21073638
- 27. Landau KI, van Leeuwen WJ. Fine scale spatial urban land cover factors associated with adult mosquito abundance and risk in Tucson, Arizona. Journal of Vector Ecology. 2012;37(2):407–18. pmid:23181866
- 28. Cheong YL, Leitao PJ, Lakes T. Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees. Spatial and Spatiotemporal Epidemiology. 2014;10:75–8
- 29. Sarfraz MS, Tripathi NK, Tipdecho T, Thongbu T, Kerdthong P, Souris M. Analyzing the spatio-temporal relationship between dengue vector larval density and land-use using factor analysis and spatial ring mapping. BMC Public Health. 2012;12:853–71. pmid:23043443
- 30. Troyo A, Fuller DO, Calderón‐Arguedas O, Solano ME, Beier JC. Urban structure and dengue incidence in Puntarenas, Costa Rica. Singapore Journal of Tropical Geography. 2009;30(2):265–82.
- 31. Dom NC, Ahmad AH, Latif ZA, Ismail R, Pradhan B. Coupling of remote sensing data and environmental-related parameters for dengue transmission risk assessment in Subang Jaya, Malaysia. Geocarto International. 2013;28(3):258–72.
- 32. Delmelle E, Hagenlocher M, Kienberger S, Casas I. A spatial model of socioeconomic and environmental determinants of dengue fever in Cali, Colombia. Acta Tropica. 2016;164:169–76. pmid:27619189
- 33. Åström C, Rocklöv J, Hales S, Béguin A, Louis V, Sauerborn R. Potential distribution of dengue fever under scenarios of climate change and economic development. EcoHealth. 2012;9(4):448–54. pmid:23408100
- 34. Teurlai M, Menkès CE, Cavarero V, Degallier N, Descloux E, Grangeon J-P, et al. Socio-economic and climate factors associated with Dengue fever spatial heterogeneity: A worked example in New Caledonia. PLoS Neglected Tropical Diseases. 2015;9(12):e0004211. pmid:26624008
- 35. Wijayanti SP, Porphyre T, Chase-Topping M, Rainey SM, McFarlane M, Schnettler E, et al. The Importance of Socio-Economic Versus Environmental Risk Factors for Reported Dengue Cases in Java, Indonesia. PLoS Neglected Tropical Diseases. 2016;10(9):e0004964. pmid:27603137
- 36. van den Hurk AF, Nicholson J, Beebe NW, Davis J, Muzari OM, Russell RC, et al. Ten years of the Tiger: Aedes albopictus presence in Australia since its discovery in the Torres Strait in 2005. One Health. 2016;2:19–24. pmid:28616473
- 37. Darbro J, Halasa Y, Montgomery B, Muller M, Shepard D, Devine G, et al. An Economic Analysis of the Threats Posed by the Establishment of Aedes albopictus in Brisbane, Queensland. Ecological Economics. 2017;142:203–13.
- 38. Rochlin I, Ninivaggi DV, Hutchinson ML, Farajollahi A: Climate change and range expansion of the Asian tiger mosquito (Aedes albopictus) in Northeastern USA: implications for public health practitioners. PloS one 2013, 8(4):e60874.39.
- 39. Australian Government: Department of Foreign Affairs and Trade.Australia in brief. retrieved from http://dfat.gov.au/about-us/publications/Documents/australia-in-brief.pdf.2016.
- 40. Slaon-Gardner T, Stirzaker S, Knuckey D, Pennington K, Knope K, Fitzsimmons G, et al. Australia's notifiable disease status, 2009: annual report of the National Notifiable Diseases Surveillance System. Communicable Diseases Intelligence Quarterly Report. 2011;35(2):61–131. pmid:22010505
- 41. Queensland Government: Queensland Dengue Management Plan 2010–2015. In. Fortitude Valley, Australia. Communicable Disease Prevention and Control Unit. 2011;1–47. https://www.health.qld.gov.au/publications/clinical-practice/guidelines-procedures/diseases-infection/governance/dengue-mgt-plan.pdf.
- 42. ABS. Census data through community profiles. 2016. Retrieved from http://www.abs.gov.au/websitedbs/censushome.nsf/home/historicaldata?opendocument
- 43. Araujo RV, Albertini MR, Costa-da-Silva AL, Suesdek L, Franceschi NC, Bastos NM, Katz G, Cardoso VA, Castro BC, Capurro ML et al: Sao Paulo urban heat islands have a higher incidence of dengue than other urban areas. Brazilian Journal of Infectious Disease 2015, 19(2):146–55.
- 44. Dom NC, Hassan AA, Latif ZA, Ismail R. Generating temporal model using climate variables for the prediction of dengue cases in Subang Jaya, Malaysia. Asian Pacific Journal of Tropical Disease. 2013;3(5):352–61.
- 45. Buczak AL, Baugher B, Babin SM, Ramac-Thomas LC, Guven E, Elbert Y, Koshute PT, Velasco JMS, Roque VG Jr, Tayag EA: Prediction of high incidence of dengue in the Philippines. PLoS Neglected Tropical Diseases 2014, 8(4):e2771. pmid:24722434
- 46. Buczak AL, Koshute PT, Babin SM, Feighner BH, Lewis SH: A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data. BMC Medical Informatics and Decision Making 2012, 12(1):124–143.
- 47. Whelan PI, Hayes G, Tucker G, Carter JM, Wilson A, Haigh B. The detection of exotic mosquitoes in the Northern Territory of Australia. Queensland Institute of Medical Research: Arbovirus Research in Australia. 2001;8: 395–03.
- 48. Kurucz N, Pettit WJ: Tennant Creek dengue mosquito elimination program update. 2014.
- 49. Ebi KL, Nealon J: Dengue in a changing climate. Environmental Research 2016, 151:115–123 pmid:27475051
- 50. Arunachalam N, Tana S, Espino F, Kittayapong P, Abeyewickreme W, Wai KT, et al. Eco-bio-social determinants of dengue vector breeding: a multicountry study in urban and periurban Asia. Bulletin of World Health Organization. 2010;88(3):173–84.
- 51. Caprara A, Lima JWD, Marinho ACP, Calvasina PG, Landim LP, Sommerfeld J. Irregular water supply, household usage and dengue: a bio-social study in the Brazilian Northeast. Cadernos de saude publica. 2009;25:S125–S36. pmid:19287857
- 52. McBride WJH, Mullner H, Muller R, Labrooy J, Wronski I. Determinants of dengue 2 infection among residents of Charters Towers, Queensland, Australia. American Journal of Epidemiology. 1998;148(11):1111–16. pmid:9850134
- 53. Schmidt W-P, Suzuki M, Thiem VD, White RG, Tsuzuki A, Yoshida L-M, et al. Population density, water supply, and the risk of dengue fever in Vietnam: cohort study and spatial analysis. PLoS Medicine. 2011;8(8):e1001082. pmid:21918642
- 54. Shope R. Global climate change and infectious diseases. Environmental Health Perspectives. 1991;96:171–74. pmid:1820262
- 55. Trewin BJ, Kay BH, Darbro JM, Hurst TP. Increased container-breeding mosquito risk owing to drought-induced changes in water harvesting and storage in Brisbane, Australia. International Health. 2013;5(4):251–58. pmid:24225151
- 56. Tun-Lin W, Kay B, Barnes A. Understanding productivity, a key to Aedes aegypti surveillance. The American Journal of Tropical Medicine and Hygiene. 1995;53(6):595–601. pmid:8561260
- 57. Mondini A, Chiaravalloti-Neto F. Spatial correlation of incidence of dengue with socioeconomic, demographic and environmental variables in a Brazilian city. Science of The Total Environment. 2008;393(2–3):241–8. pmid:18262225
- 58. Vanwambeke SO, Van Benthem BH, Khantikul N, Burghoorn-Maas C, Panart K, Oskam L, et al. Multi-level analyses of spatial and temporal determinants for dengue infection. International journal of Health Geographics. 2006;5(1):5–20.
- 59. Nazri C, Abu Hassan A, Latif ZA, Ismail R, editors. Impact of climate and landuse variability based on dengue epidemic outbreak in Subang Jaya. Humanities, Science and Engineering (CHUSER), 2011 IEEE Colloquium on; 2011; Penag: IEEE.