2017
DOI: 10.1016/j.aogh.2017.10.011
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Estimating Effects of Temperature on Dengue Transmission in Colombian Cities

Abstract: Climatic variables related to temperature affect dengue epidemiology in different way. According to the temperature of each city, transmission might be positively or negatively affected.

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Cited by 28 publications
(34 citation statements)
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“…Human cases of WNV [49][50][51][52][53][54][55] and SINV [56,57] are often positively associated with temperature. Here, we found incidence of neuro-invasive WNV disease responded unimodally to temperature across counties in the US (Fig 8), adding to prior evidence for reduced transmission of WNV [58] and other mosquito-borne diseases [2,[15][16][17] at high temperatures. However, we could not detect lower or upper thermal limits at this scale (Fig 8).…”
Section: Discussionsupporting
confidence: 72%
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“…Human cases of WNV [49][50][51][52][53][54][55] and SINV [56,57] are often positively associated with temperature. Here, we found incidence of neuro-invasive WNV disease responded unimodally to temperature across counties in the US (Fig 8), adding to prior evidence for reduced transmission of WNV [58] and other mosquito-borne diseases [2,[15][16][17] at high temperatures. However, we could not detect lower or upper thermal limits at this scale (Fig 8).…”
Section: Discussionsupporting
confidence: 72%
“…Mechanistic models based on these traits and guided by principles of thermal biology predict that the thermal response of transmission is unimodal: transmission peaks at intermediate temperatures and is inhibited at extreme cold and hot temperatures [2][3][4][5][6][7][8][9][10][11]. This unimodal pattern is predicted consistently across mosquito-borne diseases [2][3][4][5][6][7] and supported by independent empirical evidence for positive relationships between temperature and human cases in many settings [5,[12][13][14][15], but negative relationships at extremely high temperatures in other studies [2,[15][16][17]. Accordingly, increasing temperatures due to climate change are expected to shift disease distributions geographically and seasonally, as warming should increase transmission in cooler settings but decrease it in settings near or above the optimum for transmission [18][19][20][21].…”
Section: Introductionmentioning
confidence: 89%
“…A nonlinear mechanistic model is critical for estimating temperature impacts on transmission because the effect of increasing temperature by a few degrees can have a positive, negligible, or negative impact on R 0 along different parts of the thermal response curve. Although field-based evidence for unimodal thermal responses in vector-borne disease is rare (but see Mordecai et al, 2013 ; Perkins et al, 2015 ; Peña-García et al, 2017 ), there is some evidence for high temperatures constraining RRV transmission and vector populations: outbreaks were less likely with more days above 35°C in part of Queensland ( Gatton et al, 2005 ) and populations of Cx. annulirostris peaked at 25°C and declined above 32°C in Victoria ( Dhileepan, 1996 ).…”
Section: Discussionmentioning
confidence: 99%
“…Transmission requires that mosquitoes be abundant, bite a host and ingest an infectious bloodmeal, survive long enough for pathogen development and within-host migration (the extrinsic incubation period), and bite additional hosts—all processes that depend on temperature ( Mordecai et al, 2013 , Mordecai et al, 2017 ). Although both mechanistic ( Mordecai et al, 2013 , Mordecai et al, 2017 ; Liu-Helmersson et al, 2014 ; Wesolowski et al, 2015 ; Paull et al, 2017 ) and statistical models ( Perkins et al, 2015 ; Siraj et al, 2015 ; Paull et al, 2017 ; Peña-García et al, 2017 ) support the impact of temperature on mosquito-borne disease, important knowledge gaps remain. First, how the impact of temperature on transmission differs across diseases, via what mechanisms, and the types of data needed to characterize these differences all remain uncertain.…”
Section: Introductionmentioning
confidence: 99%
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