| Literature DB >> 27643596 |
Elvina Viennet1,2, Scott A Ritchie3, Craig R Williams4, Helen M Faddy2, David Harley1.
Abstract
Dengue has a negative impact in low- and lower middle-income countries, but also affects upper middle- and high-income countries. Despite the efforts at controlling this disease, it is unclear why dengue remains an issue in affluent countries. A better understanding of dengue epidemiology and its burden, and those of chikungunya virus and Zika virus which share vectors with dengue, is required to prevent the emergence of these diseases in high-income countries in the future. The purpose of this review was to assess the relative burden of dengue in four high-income countries and to appraise the similarities and differences in dengue transmission. We searched PubMed, ISI Web of Science, and Google Scholar using specific keywords for articles published up to 05 May 2016. We found that outbreaks rarely occur where only Aedes albopictus is present. The main similarities between countries uncovered by our review are the proximity to dengue-endemic countries, the presence of a competent mosquito vector, a largely nonimmune population, and a lack of citizens' engagement in control of mosquito breeding. We identified important epidemiological and environmental issues including the increase of local transmission despite control efforts, population growth, difficulty locating larval sites, and increased human mobility from neighboring endemic countries. Budget cuts in health and lack of practical vaccines contribute to an increased risk. To be successful, dengue-control programs for high-income countries must consider the epidemiology of dengue in other countries and use this information to minimize virus importation, improve the control of the cryptic larval habitat, and engage the community in reducing vector breeding. Finally, the presence of a communicable disease center is critical for managing and reducing future disease risks.Entities:
Mesh:
Year: 2016 PMID: 27643596 PMCID: PMC5028037 DOI: 10.1371/journal.pntd.0004943
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Occurrence of dengue in HICs as of December 2015.
The burden of dengue fever, highlighting the number of locally acquired cases in Queensland (Australia), Florida (US), Singapore, and Taiwan.
| Years, location | Serotype(s) | N dengue cases | N locally acquired cases | N hospitalizations (%) | Incidence per 100,000 | N DHF (%) | N deaths (Case Fatality Rate %) | Ref | |
|---|---|---|---|---|---|---|---|---|---|
| 1996–1997, the Torres Strait | DENV-2 | 208 | 202 | 7 (3.48) | 6.49 | 0 | 0 | [ | |
| 1997–1999, Cairns; Port Douglas; Mossman | DENV-3 | 498 | 493 | 101 (20.28) | 14.86 | 6 (1.20) | 0 | [ | |
| 2000, Cairns | DENV-2 | 85 | 50 | 0 | 2.44 | 0 | 0 | [ | |
| 2001, Townsville | DENV-2 | 42 | 8 | 1 (11.11) | 1.17 | 4 (9.52) | 0 | [ | |
| 2002, Kuranda; Townsville; Cairns | DENV-2; -1; -4 | 81 | 25 | 0 | 2.22 | 0 | 0 | [ | |
| 2003–2004, Cairns; Townsville; the Torres Strait | DENV-2 | 999 | 895 | 35 (3.91) | 26.34 | 4 (0.45) | 2 (0.20) | [ | |
| 2005, the Torres Strait; Townsville | DENV-4 | 116 | 76 | 0 | 3.04 | 0 | 0 | [ | |
| 2006, Townsville; Cairns | DENV-3; -2 | 76 | 37 | 0 | 1.95 | 0 | 0 | [ | |
| 2007, Townsville | DENV-3 | 119 | 47 | 0 | 2.93 | 0 | 0 | [ | |
| 2008–2009, Port Douglas; Mossman; Townsville; Cairns | DENV-3; -3; -3, -1; -2, | 1,314 | 1,042 | 73 (5.56) | 26.58 | 6 (0.46) | 1 (0.11) | [ | |
| 2010–2011, Cairns; Townsville | DENV-1, -2, -3, -4; -1, -2, -3 | 474 | 148 | - | 10.94 | 0 | 0 | [ | |
| 2012, Cairns; Townsville | 244 | 28 | - | 5.30 | 0 | 0 | [ | ||
| 2013, Port Douglas, Mossman; Cairns | DENV-3; -1 | 490 | 222 | - | 10.45 | 0 | 0 | [ | |
| 2014, Cairns; Innisfail; Port Douglas; Charters Towers; Townsville | DENV-1; -1; -3 | 395 | 182 | - | 8.32 | 0 | 0 | [ | |
| 2015, Cairns, Tully, Innisfail, El Arish, Townsville | DENV-1; -2 | 284 | 62 | - | - | 0 | 0 | [ | |
| 2009, Key West | DENV-1 | 63 | 27 | 0 | 0.3 | 0 | 0 | [ | |
| 2010–2011, Key West; Broward; Miami-Dade Counties | DENV-1, -2 | 257 | 65 | 0 | 1 | 0 | 0 | [ | |
| 2011, Miami-Dade, Martin, Hillsborough, Palm Beach Counties | DENV-1, -2 | 68 | 7 | - | - | - | - | [ | |
| 2012, Miami-Dade, Seminale, Osceola Counties | DENV-1, -4, -2, -3 | 139 | 3 | 0 | 0.7 | 0 | 0 | [ | |
| 2013, Martin, Miami-Dade Counties | DENV-1, -4, -3, -2 | 149 | 23 | 6 (3.87) | 0.7 | 0 | 0 | [ | |
| 2014, Miami-Dade County | DENV-1, -2, -3, -4 | 51 | 6 | 0 | 0.2 | 0 | 0 | [ | |
| 2015, Broward County | DENV-1, -2 | 85 | 1 | - | - | - | - | [ | |
| 2000, Tampines regional centre, Geylang, Marine Parade | 673 | 402 | 572 (0.85) | 9.3 | 10 (1.5) | 2 (0.30) | [ | ||
| 2001, Toa Payoh, Kallang, Hougang, Yishun, Novena | 2,372 | 2,064 | 1,850 (0.78) | 46.7 | 6 (0.30) | 4 (0.17) | [ | ||
| 2002, Bukit Batok; Geylang; Novena; Sengkang, Jurong Ouest; Woodlands | 3,945 | 3,560 | 3,156 (0.80) | 86.2 | 8 (0.20) | 4 (0.10) | [ | ||
| 2003, Ang Mo Kio; Bedok; Hougang; Novena | 4,788 | 4,542 | 3,734 (0.78) | 108.5 | - | 6 (0.13) | [ | ||
| 2004, Yishun; Ang Mo Kio; Geylang; Bedok | 9,459 | 9,297 | 7,716 (0.81) | 223.1 | 168 (1.78) | 9 (0.10) | [ | ||
| 2005, Yishun; Woodlands; Kallang; Toa Payoh; Jurong; Bukit Batok | 14,006 | 13,818 | 10,504 (75) | 333.1 | 381 (2.72) | 27 (0.19) | [ | ||
| 2006, Bukit Batok, Woodlands, Ang Mo Kio, Pasir Ris, Clementi | 3,127 | 2,844 | - | 71.0 | 75 (2.40) | 10 (0.32) | [ | ||
| 2007, Bukit Batok; Pasir Ris; Woodlands | 8,826 | 8,637 | - | 192.3 | 189 (2.14) | 24 (0.27) | [ | ||
| 2008, Hougang, Jurong Ouest, Serangoon, Woodlands, Ang Mo Kio | 7,031 | 6,631 | - | 145.3 | 84 (1.19) | 10 (0.14) | [ | ||
| 2009, Clementi, Bukit Merah, Hougang, Kallang | 4,497 | 4,187 | - | 90.2 | 46 (1.02) | 8 (0.18) | [ | ||
| 2010, Woodlands, Telok Blangah, Newton, Pasir Ris | 5,363 | 4,978 | - | 105.6 | 34 (0.63) | 6 (0.11) | [ | ||
| 2011, Paya Lebar, Woodlands, Serangoon, Yishun, Pasir Ris, Tampines | 5,330 | 5,099 | - | 102.8 | 22 (0.41) | 6 (0.11) | [ | ||
| 2012, Ang Mo Kio, Bedok, Woodlands, Clementi, Hougang | 4,632 | 4,369 | - | 87.2 | 30 (0.64) | 2 (0.04) | [ | ||
| 2013, Tampines, Yio Chu Kang; Serangoon area, Bedok, Pasir Ris, Jurong, Choa Chu Kang | 22,170 | 21,863 | - | 410.6 | 93 (0.42) | 8 (0.04) | [ | ||
| 2014, Chuan Drive; Bukit Panjang, Choa Chu Kang, Hougang, Bukit Timah, Bedok, Sengkang | 18,326 | 17,812 | 3,665 (20.00) | 335.0 | 20 (0.11) | 6 (0.03) | [ | ||
| 2015, Ang Mo Kio, Bishan North | 11,298 | - | 2259 (20.00) | - | 12 (0.11) | 4 (0.04) | [ | ||
| 2000–2001, Tainan City, Kaohsiung City | DENV-2, -4 | 418 | 340 | - | 0.6 | - | - | [ | |
| 2002, Kaohsiung City and Kaohsiung County; Pingtung County | DENV-2 | 5,388 | 5,336 | - | 23.9 | 241 (4.50) | 21 (0.39) | [ | |
| 2003, Kaohsiung City | DENV-2 | 145 | 86 | - | 0.6 | 2 (23.25) | 1 (1.16) | [ | |
| 2004–2005, Pingtung City, Kaohsiung City, Kaohsiung City | DENV-1, -3 | 733 | 538 | - | 1.8 | 8 (1.49) | 0 | [ | |
| 2006, Kaohsiung City; Kaohsiung County; Tainan City; Tainan County; Pingtung County | 1,074 | 965 | - | 4.7 | 19 (1.97) | 5 (0.47) | [ | ||
| 2007, Tainan City; Kaohsiung City | DENV-1 | 2,179 | 2,000 | - | 9.5 | 11 (0.55) | 1 (0.05) | [ | |
| 2008, Kaohsiung City; Kaohsiung County | DENV-1 | 714 | 488 | - | 3.1 | - | - | [ | |
| 2009, Kaohsiung City; Kaohsiung County; Pingtung County | 1,052 | 848 | - | 4.5 | - | - | [ | ||
| 2010, Kaohsiung City; Taipei City; Tainan City; Tainan County | - | 1,896 | 1,592 | - | 8.1 | - | 2 (0.11) | [ | |
| 2011, Kaohsiung City; Pingtung County; Taipei; Penghu county | - | 1,702 | 1,545 | - | 7.3 | 18 (1.05) | 5 (0.29) | [ | |
| 2012, Tainan City; Kaohsiung City | 1,478 | 1,271 | - | 6.3 | 20 (1.35) | 5 (0.34) | [ | ||
| 2013, Tainan City; Pingtung County; Taipei; Greater Kaohsiung; New Taipei City | 860 | 596 | - | 3.6 | 14 (2.35) | 1 (0.17) | [ | ||
| 2014, Kaoshiung City; Chiayi City; Pingtung City | 15,732 | 15,492 | - | 66.2 | 136 (0.88) | 20 (0.12) | [ | ||
| 2015, Tainan City; Kaoshiung City; Pingtung City | - | 42,916 | 42,572 | >44 (0.10) | - | - | 209 (0.49) | [ |
* serotype known by place is separated by “;”. Dominant serotype, when known, is given in bold font.
Fig 2Number of locally acquired and imported dengue cases.
Fig 3Percentage and incidence rate of reported indigenous dengue fever and DHF cases by housing type for Singapore residents from 2000–2014.
Key determinants for ongoing dengue burden in Queensland (Australia), Singapore, Taiwan, and Florida (US) and recommendations.
| Key determinants | Key recommendations | |
|---|---|---|
proximity to endemic countries dramatic increase in imported cases via arrival of viremic residents and tourists in the last ten years absence of a national disease control network low herd immunity transmission associated with old unscreened housing budget cuts cryptic sites (subterranean, elevated) can produce large numbers of population growth and movement increase in rainwater tank usage lack of awareness and engagement of residents/tourists | In Queensland and Florida, the Key West/Martin counties outbreaks show that localized transmission, where A communicable disease center in Australia is critical for managing and lowering future disease risks. The center would play a key role in engaging state and territory health departments, aiding rapid response to potential threats. The US and European CDCs would be appropriate examples for such a national structure. To be successful, dengue control programs for HICs must also consider the epidemiology of dengue in other endemic countries that may increase virus importations. “Top-down” and “bottom-up” approaches should be combined. Community engagement in reducing vector breeding is crucial, and community members should be encouraged to cooperate with vector control agencies. Control the cryptic larval habitat (elevated and subterranean sites). Control that targets the adult mosquito vector is important. Travel-related risks need to be better managed and incorporated in national strategies for nonendemic countries that experience, or are at risk for, epidemics. Tourism bodies need to be involved in disease prevention in order to diminish possible opposing viewpoints. Education of the public and the medical profession is central to prevention. To avoid institutional memory lost when key employees leave, (“Brain-Drain” effect), transition to their replacements should be prepared to preserve this information. A robust assessment of the economic burden (direct and indirect costs) of dengue infections is highly needed for those countries to justify investing in dengue control programs. | |
proximity to endemic countries dramatic increase in imported cases in the last ten years transmission associated with old unscreened housing (in Key West) low herd immunity budget cuts usually fines not imposed when breeding sites found population growth and movement lack of awareness and engagement of residents/tourists | ||
proximity to other endemic countries all serotypes circulating and high diversity low herd immunity resistance to pyrethroid insecticides in dengue vectors shift from domestic to nondomestic transmission virus importation by tourists and migrant workers important air traffic/travel population growth and movement high level of urbanization unbalanced health care system lack of awareness and engagement of residents/tourists/migrant workers (e.g., excess of litter) | ||
proximity to endemic countries important air traffic/travel population growth and movement high level of urbanization lack of awareness and engagement of residents/tourists (e.g., excess of litter) |