Limiting global-mean temperature increase to 1.5-2 degrees C could reduce the incidence and spatial spread of dengue fever in Latin America

Felipe J. Colón-González Ian Harris Timothy J. Osborn Christine Steiner São Bernardo Carlos A. Peres Paul R. Hunter Rachel Warren Detlef van Vuurene Iain R. Lake

The Paris Climate Agreement aims to hold global-mean temperature well below 2 °C and to pursue efforts to limit it to 1.5 °C above preindustrial levels. While it is recognized that there are benefits for human health in limiting global warming to 1.5 °C, the magnitude with which those societal benefits will be accrued remains unquantified. Crucial to public health preparedness and response is the understanding and quantification of such impacts at different levels of warming. Using dengue in Latin America as a study case, a climate-driven dengue generalized additive mixed model was developed to predict global warming impacts using five different global circulation models, all scaled to represent multiple global-mean temperature assumptions. We show that policies to limit global warming to 2 °C could reduce dengue cases by about 2.8 (0.8–7.4) million cases per year by the end of the century compared with a no-policy scenario that warms by 3.7 °C. Limiting warming further to 1.5 °C produces an additional drop in cases of about 0.5 (0.2–1.1) million per year. Furthermore, we found that by limiting global warming we can limit the expansion of the disease toward areas where incidence is currently low. We anticipate our study to be a starting point for more comprehensive studies incorporating socioeconomic scenarios and how they may further impact dengue incidence. Our results demonstrate that although future climate change may amplify dengue transmission in the region, impacts may be avoided by constraining the level of warming.

CC BY-NC-ND 0 29 мая 2018

Тип материала: Статья

Тематика: PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Язык: EN

Ранее опубликовано
Proceedings of the National Academy of Sciences
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Clarivate Analytics
Данные о статье из базы данных Clarivate Analytics
Accession Number: WOS:000434933400053
Pubmed ID: MEDLINE:29844166
Volume: 115
Issue: 24
Pages: 6243-6248
Times cited: 5
Journal expected citations: 9.422372
Category expected citations: 2.18
Journal normalized citation impact: 0.53
Category normalized citation impact: 2.2915
Percentile in subject area: 12.6811
Journal impact factor: 9.58

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