Back

Urban warming inverse contribution on risk of dengue transmission in the southeastern North America

Simon, L. M.; Pinto-Ledezma, J. N.; Dunn, R. R.; Rangel, T. F.

2020-01-16 ecology
10.1101/2020.01.15.908020 bioRxiv
Show abstract

O_LIPreventing diseases from becoming a problem where they are not is a common ground for disease ecology. The expectation for vector-borne diseases, especially those transmitted by mosquitos, is that warm and wet conditions favor vector traits increasing transmission potential. The advent of urbanization altering inner climate conditions hazards to increase mosquitos transmission potential on "disease-free" cooler areas as a consequence of a warming urban heat island (UHI) effect. C_LIO_LIWe assessed the realism of the anticipated dengue transmission potential into the southern United States in a causal pathway with the ongoing UHI effect, vectors spatial distribution patterns, and exogenous environment; We also measured the climatic niche similarity between both dengue vectors species. C_LIO_LIOur path model revealed that the UHI effect presents negative or no relation with dengue transmission potential. Instead, the surrounding non-urban temperature was rather suitable for the expected mosquitos transmission potential. C_LIO_LIBoth dengue vectors occurrence revealed to be more aggregated then expected by chance. These mosquitos density patterns were responsive to the warming effect of UHI-especially Aedes Aegypti-but not a reliable predictor for the anticipated dengue transmission potential pattern. The climatic niches of both vectors are not equivalent. Although currently highly overlapped, there is a wide space of their climatic niche still to be filled. C_LIO_LIPolicy implications. We highlight that the warming UHI effect on urban sites is not congruent with the expected suitability for dengue transmission. Instead, non-urban areas would be a better focus for dengue hazards into the southern United States. Our study also highlights the need for including low scale temperature on further mosquito-borne disease transmission models and track vectors niche filling under anthropogenic changes. C_LI

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.