Regionalization of a Landscape-Based Hazard Index of Malaria Transmission: An Example of the State of Amapá, Brazil
Abstract
:1. Introduction
2. Materials and Methods
2.1. Assessing the Effect of a Coarser Spatial Resolution on NLHI Values
2.2. Large-Scale Implementation of NLHI
2.2.1. Input Data: TerraClass© product
2.2.2. Large-Scale NLHI Implementation
3. Results
3.1. Within-Sensor Comparison between NLHIsim and NLHIval
3.2. Relationship between NLHI Values and Malaria Incidence Rates
3.3. Large-Scale NLHI
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
Abbreviations
ED | Edge density |
EMBRAPA | Brazilian Agricultural Research Corporation |
HPC | High Performance Computing |
INPE | Brazilian National Institutes for Space Research |
JAXA | Japan Aerospace Exploitation Agency |
LULC | Land use and land cover |
NLHI | Normalization landscape-based hazard index |
pF | Proportion of the forest |
RAM | Random Access Memory |
SAR | Synthetic aperture radar |
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Correlation Analysis | r | rho | R2 |
---|---|---|---|
Whole dataset | 0.60 ** | 0.44 | 0.36 ** |
0.59 ** | 0.43 | 0.35 ** | |
Non-null incidence rates only | 0.80 ** | 0.76 ** | 0.64 ** |
0.79 ** | 0.75 ** | 0.63 ** |
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Li, Z.; Catry, T.; Dessay, N.; Da Costa Gurgel, H.; Aparecido de Almeida, C.; Barcellos, C.; Roux, E. Regionalization of a Landscape-Based Hazard Index of Malaria Transmission: An Example of the State of Amapá, Brazil. Data 2017, 2, 37. https://doi.org/10.3390/data2040037
Li Z, Catry T, Dessay N, Da Costa Gurgel H, Aparecido de Almeida C, Barcellos C, Roux E. Regionalization of a Landscape-Based Hazard Index of Malaria Transmission: An Example of the State of Amapá, Brazil. Data. 2017; 2(4):37. https://doi.org/10.3390/data2040037
Chicago/Turabian StyleLi, Zhichao, Thibault Catry, Nadine Dessay, Helen Da Costa Gurgel, Cláudio Aparecido de Almeida, Christovam Barcellos, and Emmanuel Roux. 2017. "Regionalization of a Landscape-Based Hazard Index of Malaria Transmission: An Example of the State of Amapá, Brazil" Data 2, no. 4: 37. https://doi.org/10.3390/data2040037