Public Health Study Based on Satellite Images: Case - Malaria in Peru 2015

Avid Roman-Gonzalez; Joel Diaz; Mirko Zimic; Natalia I. Vargas-Cuentas

Public Health Study Based on Satellite Images: Case - Malaria in Peru 2015

Avid Roman-Gonzalez
, Joel Diaz
, Mirko Zimic
, Natalia I. Vargas-Cuentas

Facultad de Ciencias e Ingeniería

Universidad Nacional Tecnológica de Lima Sur
Business on Engineering and Technology S.A.C.

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

Resumen

Observation satellites have revolutionized our ability to monitor the Earth's surface, providing vast spatio-temporal data. This data, which captures recurring patterns and spatial dynamics, holds great potential for various applications, including public health. This research introduces a bioinformatics platform that harnesses spatio-temporal information from satellite imagery to address critical public health challenges. Specifically, one aims to predict and manage epidemics in Peru by leveraging geo-climatic parameters derived from LANDSAT multispectral satellite images.

Idioma original	Inglés
Publicación	Proceedings of the International Astronautical Congress, IAC
Volumen	2023-October
Estado	Publicada - 2023
Evento	74th International Astronautical Congress, IAC 2023 - Baku, Azerbaiyán Duración: 2 oct. 2023 → 6 oct. 2023

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

@article{addd9191e7144bf09e13b97315a2f35e,

title = "Public Health Study Based on Satellite Images: Case - Malaria in Peru 2015",

abstract = "Observation satellites have revolutionized our ability to monitor the Earth's surface, providing vast spatio-temporal data. This data, which captures recurring patterns and spatial dynamics, holds great potential for various applications, including public health. This research introduces a bioinformatics platform that harnesses spatio-temporal information from satellite imagery to address critical public health challenges. Specifically, one aims to predict and manage epidemics in Peru by leveraging geo-climatic parameters derived from LANDSAT multispectral satellite images.",

keywords = "Satellite data, epidemiology, malaria transmission, public health, small satellite, spatio-temporal analysis",

author = "Avid Roman-Gonzalez and Joel Diaz and Mirko Zimic and Vargas-Cuentas, \{Natalia I.\}",

note = "Publisher Copyright: Copyright {\textcopyright} 2023 by the International Astronautical Federation (IAF). All rights reserved.; 74th International Astronautical Congress, IAC 2023 ; Conference date: 02-10-2023 Through 06-10-2023",

year = "2023",

language = "Ingl{\'e}s",

volume = "2023-October",

journal = "Proceedings of the International Astronautical Congress, IAC",

issn = "0074-1795",

}

TY - JOUR

T1 - Public Health Study Based on Satellite Images

T2 - 74th International Astronautical Congress, IAC 2023

AU - Roman-Gonzalez, Avid

AU - Diaz, Joel

AU - Zimic, Mirko

AU - Vargas-Cuentas, Natalia I.

PY - 2023

Y1 - 2023

N2 - Observation satellites have revolutionized our ability to monitor the Earth's surface, providing vast spatio-temporal data. This data, which captures recurring patterns and spatial dynamics, holds great potential for various applications, including public health. This research introduces a bioinformatics platform that harnesses spatio-temporal information from satellite imagery to address critical public health challenges. Specifically, one aims to predict and manage epidemics in Peru by leveraging geo-climatic parameters derived from LANDSAT multispectral satellite images.

AB - Observation satellites have revolutionized our ability to monitor the Earth's surface, providing vast spatio-temporal data. This data, which captures recurring patterns and spatial dynamics, holds great potential for various applications, including public health. This research introduces a bioinformatics platform that harnesses spatio-temporal information from satellite imagery to address critical public health challenges. Specifically, one aims to predict and manage epidemics in Peru by leveraging geo-climatic parameters derived from LANDSAT multispectral satellite images.

KW - Satellite data

KW - epidemiology

KW - malaria transmission

KW - public health

KW - small satellite

KW - spatio-temporal analysis

UR - https://www.scopus.com/pages/publications/85188009429

M3 - Artículo de la conferencia

AN - SCOPUS:85188009429

SN - 0074-1795

VL - 2023-October

JO - Proceedings of the International Astronautical Congress, IAC

JF - Proceedings of the International Astronautical Congress, IAC

Y2 - 2 October 2023 through 6 October 2023

ER -

Public Health Study Based on Satellite Images: Case - Malaria in Peru 2015

Resumen

ODS de las Naciones Unidas

Otros archivos y enlaces

Huella

Citar esto