Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance.
This study proposed the use of satellite hyperspectral imagery to support tick-borne infectious diseases surveillance based on monitoring the variation in amplifier hosts food sources. To verify this strategy, we used the data of the human rickettsiosis occurrences in southeastern Brazil, region in...
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Online Access: | https://doi.org/10.1371/journal.pone.0143736 |
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doaj-e14153034d024d3698f08d2164dc1bc92021-03-03T19:57:31ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011011e014373610.1371/journal.pone.0143736Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance.Gina PoloMarcelo Bahia LabrunaFernando FerreiraThis study proposed the use of satellite hyperspectral imagery to support tick-borne infectious diseases surveillance based on monitoring the variation in amplifier hosts food sources. To verify this strategy, we used the data of the human rickettsiosis occurrences in southeastern Brazil, region in which the emergence of this disease is associated with the rising capybara population. Spatio-temporal analysis based on Monte Carlo simulations was used to identify risk areas of human rickettsiosis and hyperspectral moderate-resolution imagery was used to identify the increment and expansion of sugarcane crops, main food source of capybaras. In general, a pixel abundance associated with increment of sugarcane crops was detected in risk areas of human rickettsiosis. Thus, the hypothesis that there is a spatio-temporal relationship between the occurrence of human rickettsiosis and the sugarcane crops increment was verified. Therefore, due to the difficulty of monitoring locally the distribution of infectious agents, vectors and animal host's, satellite hyperspectral imagery can be used as a complementary tool for the surveillance of tick-borne infectious diseases and potentially of other vector-borne diseases.https://doi.org/10.1371/journal.pone.0143736 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gina Polo Marcelo Bahia Labruna Fernando Ferreira |
spellingShingle |
Gina Polo Marcelo Bahia Labruna Fernando Ferreira Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance. PLoS ONE |
author_facet |
Gina Polo Marcelo Bahia Labruna Fernando Ferreira |
author_sort |
Gina Polo |
title |
Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance. |
title_short |
Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance. |
title_full |
Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance. |
title_fullStr |
Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance. |
title_full_unstemmed |
Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance. |
title_sort |
satellite hyperspectral imagery to support tick-borne infectious diseases surveillance. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2015-01-01 |
description |
This study proposed the use of satellite hyperspectral imagery to support tick-borne infectious diseases surveillance based on monitoring the variation in amplifier hosts food sources. To verify this strategy, we used the data of the human rickettsiosis occurrences in southeastern Brazil, region in which the emergence of this disease is associated with the rising capybara population. Spatio-temporal analysis based on Monte Carlo simulations was used to identify risk areas of human rickettsiosis and hyperspectral moderate-resolution imagery was used to identify the increment and expansion of sugarcane crops, main food source of capybaras. In general, a pixel abundance associated with increment of sugarcane crops was detected in risk areas of human rickettsiosis. Thus, the hypothesis that there is a spatio-temporal relationship between the occurrence of human rickettsiosis and the sugarcane crops increment was verified. Therefore, due to the difficulty of monitoring locally the distribution of infectious agents, vectors and animal host's, satellite hyperspectral imagery can be used as a complementary tool for the surveillance of tick-borne infectious diseases and potentially of other vector-borne diseases. |
url |
https://doi.org/10.1371/journal.pone.0143736 |
work_keys_str_mv |
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