Projecting the future of dengue under climate change scenarios: Progress, uncertainties and research needs

被引:31
|
作者
Xu, Zhiwei [1 ,2 ]
Bambrick, Hilary [1 ,2 ]
Frentiu, Francesca D. [3 ]
Devine, Gregor [4 ]
Yakob, Laith [5 ]
Williams, Gail [6 ]
Hu, Wenbiao [1 ,2 ]
机构
[1] Queensland Univ Technol, Sch Publ Hlth & Social Work, Brisbane, Qld, Australia
[2] Queensland Univ Technol, Inst Hlth & Biomed Innovat, Brisbane, Qld, Australia
[3] Queensland Univ Technol, Sch Biomed Sci, Brisbane, Qld, Australia
[4] QIMR Berghofer Med Res Inst, Mosquito Control Lab, Brisbane, Qld, Australia
[5] London Sch Hyg & Trop Med, Dept Dis Control, London, England
[6] Univ Queensland, Sch Publ Hlth, Brisbane, Qld, Australia
来源
PLOS NEGLECTED TROPICAL DISEASES | 2020年 / 14卷 / 03期
基金
英国医学研究理事会;
关键词
GLOBAL DISTRIBUTION; AEDES-AEGYPTI; FEVER; TRANSMISSION; WOLBACHIA; DISEASES; MALARIA; BURDEN; IMPACT;
D O I
10.1371/journal.pntd.0008118
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background Dengue is a mosquito-borne viral disease and its transmission is closely linked to climate. We aimed to review available information on the projection of dengue in the future under climate change scenarios. Methods Using five databases (PubMed, ProQuest, ScienceDirect, Scopus and Web of Science), a systematic review was conducted to retrieve all articles from database inception to 30(th) June 2019 which projected the future of dengue under climate change scenarios. In this review, "the future of dengue" refers to disease burden of dengue, epidemic potential of dengue cases, geographical distribution of dengue cases, and population exposed to climatically suitable areas of dengue. Results Sixteen studies fulfilled the inclusion criteria, and five of them projected a global dengue future. Most studies reported an increase in disease burden, a wider spatial distribution of dengue cases or more people exposed to climatically suitable areas of dengue as climate change proceeds. The years 1961-1990 and 2050 were the most commonly used baseline and projection periods, respectively. Multiple climate change scenarios introduced by the Intergovernmental Panel on Climate Change (IPCC), including B1, A1B, and A2, as well as Representative Concentration Pathway 2.6 (RCP2.6), RCP4.5, RCP6.0 and RCP8.5, were most widely employed. Instead of projecting the future number of dengue cases, there is a growing consensus on using "population exposed to climatically suitable areas for dengue" or "epidemic potential of dengue cases" as the outcome variable. Future studies exploring non-climatic drivers which determine the presence/absence of dengue vectors, and identifying the pivotal factors triggering the transmission of dengue in those climatically suitable areas would help yield a more accurate projection for dengue in the future. Conclusions Projecting the future of dengue requires a systematic consideration of assumptions and uncertainties, which will facilitate the development of tailored climate change adaptation strategies to manage dengue. Author summary Dengue is the most important arboviral disease globally, and the transmission of dengue is closely linked to climate. This review assembled all existing studies which have quantified the impact of climate change on dengue under climate change scenarios. We observed that most studies reported an increase in disease burden, a wider spatial distribution of dengue cases or more people exposed to climatically suitable areas of dengue as climate change proceeds. The years 1961-1990 and 2050 were the most commonly used baseline and projection periods, respectively. Multiple climate change scenarios introduced by the Intergovernmental Panel on Climate Change (IPCC), including B1, A1B, and A2, as well as Representative Concentration Pathway 2.6 (RCP2.6), RCP4.5, RCP6.0 and RCP8.5, were most widely employed. Instead of projecting the future number of dengue cases, there is a growing consensus on using "population exposed to climatically suitable areas for dengue" or "epidemic potential of dengue cases" as the outcome variable. Future studies exploring non-climatic drivers which determine the presence/absence of dengue vectors, and identifying the pivotal factors triggering the transmission of dengue in those climatically suitable areas would help yield a more accurate projection for dengue in the future.
引用
下载
收藏
页数:11
相关论文
共 50 条
  • [31] Projecting the impact of climate change on dengue transmission in Dhaka, Bangladesh
    Banu, Shahera
    Hu, Wenbiao
    Guo, Yuming
    Hurst, Cameron
    Tong, Shilu
    ENVIRONMENT INTERNATIONAL, 2014, 63 : 137 - 142
  • [32] Uncertainties in projecting climate-change impacts in marine ecosystems
    Payne, Mark R.
    Barange, Manuel
    Cheung, WilliamW. L.
    MacKenzie, Brian R.
    Batchelder, Harold P.
    Cormon, Xochitl
    Eddy, Tyler D.
    Fernandes, Jose A.
    Hollowed, Anne B.
    Jones, Miranda C.
    Link, Jason S.
    Neubauer, Philipp
    Ortiz, Ivonne
    Queiros, Ana M.
    Paula, Jose Ricardo
    ICES JOURNAL OF MARINE SCIENCE, 2016, 73 (05) : 1272 - 1282
  • [33] Projecting marine fish distributions during early life stages under future climate scenarios
    Howard, Rebecca A.
    Rogers, Lauren A.
    Kearney, Kelly A.
    Vary, Laura L.
    Ciannelli, Lorenzo
    FISH AND FISHERIES, 2024, 25 (04) : 733 - 749
  • [34] How to make progress in projecting climate change impacts
    Cheung, William W. L.
    Pauly, Daniel
    Sarmiento, Jorge L.
    ICES JOURNAL OF MARINE SCIENCE, 2013, 70 (06) : 1069 - 1074
  • [35] Future uncertainties for the distribution and conservation of Paubrasilia echinata under climate change
    Esser, Luiz Fernando
    Saraiva, Daniel Dutra
    Jarenkow, Joao Andre
    ACTA BOTANICA BRASILICA, 2019, 33 (04) : 770 - 776
  • [36] Rapid Evolution of Invasive Weeds Under Climate Change: Present Evidence and Future Research Needs
    Clements, David R.
    Jones, Vanessa L.
    FRONTIERS IN AGRONOMY, 2021, 3
  • [37] Global scenarios of climate change and associated uncertainties.
    Le Treut, H
    COMPTES RENDUS GEOSCIENCE, 2003, 335 (6-7) : 525 - 533
  • [38] Future projections for Mexican faunas under global climate change scenarios
    Peterson, AT
    Ortega-Huerta, MA
    Bartley, J
    Sánchez-Cordero, V
    Soberón, J
    Buddemeier, RH
    Stockwell, DRB
    NATURE, 2002, 416 (6881) : 626 - 629
  • [39] Assessing risks and uncertainties in forest dynamics under different management scenarios and climate change
    Albert, Matthias
    Hansen, Jan
    Nagel, Juergen
    Schmidt, Matthias
    Spellmann, Hermann
    FOREST ECOSYSTEMS, 2015, 2
  • [40] Assessing risks and uncertainties in forest dynamics under different management scenarios and climate change
    Matthias Albert
    Jan Hansen
    Jürgen Nagel
    Matthias Schmidt
    Hermann Spellmann
    Forest Ecosystems, 2015, 2 (03) : 169 - 189