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Katy Martinez
Katy Martinez
Email verificata su lanl.gov
Titolo
Citata da
Citata da
Anno
Google Health Trends performance reflecting dengue incidence for the Brazilian states
D Romero-Alvarez, N Parikh, D Osthus, K Martinez, N Generous, ...
BMC infectious diseases 20, 1-15, 2020
172020
Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil
LA Castro, N Generous, W Luo, A Pastore y Piontti, K Martinez, ...
PLoS neglected tropical diseases 15 (5), e0009392, 2021
162021
Changing temperature profiles and the risk of dengue outbreaks
I Trejo, M Barnard, JA Spencer, J Keithley, KM Martinez, I Crooker, ...
PLoS Climate 2 (2), e0000115, 2023
92023
A Process-based Model with Temperature, Water, and Lab-derived Data Improves Predictions of Daily Culex pipiens/restuans Mosquito Density
DP Shutt, DW Goodsman, K Martinez, ZJL Hemez, JR Conrad, C Xu, ...
Journal of Medical Entomology 59 (6), 1947-1959, 2022
52022
Multi-dimensional resilience: A quantitative exploration of disease outcomes and economic, political, and social resilience to the COVID-19 pandemic in six countries
LJ Beesley, P Patelli, K Kaufeld, J Schwenk, KM Martinez, T Pitts, ...
PLoS One 18 (1), e0279894, 2023
22023
Spatially-heterogeneous embedded stochastic SEIR models for the 2014–2016 Ebola outbreak in West Africa
K Martinez, G Brown, S Pankavich
Spatial and Spatio-temporal Epidemiology 41, 100505, 2022
22022
Fusing time-varying mosquito data and continuous mosquito population dynamics models
M Mancuso, KM Martinez, CA Manore, FA Milner, M Barnard, H Godinez
Frontiers in Applied Mathematics and Statistics 9, 1207643, 2023
12023
Changing temperature profiles and the risk of dengue outbreaks. PLOS Clim 2 (2): e0000115
I Trejo, M Barnard, JA Spencer, J Keithley, KM Martinez, I Crooker
12023
Unlocking the Predictive Power of Heterogeneous Data to Build an Operational Dengue Forecasting System
C Manore, G Fairchild, A Ziemann, N Parikh, K Kempfert, K Martinez, ...
bioRxiv, 2020.07. 08.194019, 2020
12020
Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil
K Kempfert, K Martinez, A Siraj, J Conrad, G Fairchild, A Ziemann, ...
arXiv preprint arXiv:2006.02483, 2020
12020
Understanding the Spatiotemporal Spread of Infectious Diseases Using Mathematical and Statistical Models and Methods of Data Analytics
KM Martinez
Colorado School of Mines, 2020
12020
Correlating transcription and protein expression profiles of immune biomarkers following lipopolysaccharide exposure in lung epithelial cells
DE Jacobsen, MM Montoya, TR Llewellyn, K Martinez, KM Wilding, ...
PloS one 19 (4), e0293680, 2024
2024
Factors Influencing Accuracy, Interpretability and Reproducibility in the use of Machine Learning in Biology
KM Martinez, K Wilding, TR Llewellyn, DE Jacobsen, MM Montoya, ...
2024
Climate and Infection-age on West Nile Virus Transmission
M Mancuso
Arizona State University, 2023
2023
Numerical Issues for a Non-autonomous Logistic Model
M Mancuso, C Manore, K Martinez, F Milner
arXiv preprint arXiv:2301.13201, 2022
2022
Age Structured Partial Differential Equations Model for Culex Mosquito Abundance
R Frantz, H Godinez, K Martinez, W Cuello, C Manore
Available at SSRN 4680323, 2022
2022
Assessing the Utility of Google Health Trends for Forecasting Dengue in Brazil
JA Spencer, M Barnard, N Parikh, C Franco, KM Martinez, C Manore, ...
AGU Fall Meeting Abstracts 2022, GH25F-0634, 2022
2022
Assessing the Risk of Dengue Outbreaks across Continental Biomes in Brazil
D Florez, E Romero-Severson, KM Martinez, C Franco, S Eshun, ...
AGU Fall Meeting Abstracts 2022, GH25D-0625, 2022
2022
Searching Twitter for signs of Socioeconomic Drivers of Dengue in Brazil
J Spencer, K Martinez, M Barnard, A Daughton, C Manore, E Scully, ...
AGU Fall Meeting Abstracts 2021, GH32A-07, 2021
2021
Data Assimilation for a Process-Based Mosquito Density Model: Parameter Estimation using Ensemble Kalman Filter
H Godinez, D Shutt, K Martinez, C Manore
AGU Fall Meeting Abstracts 2021, GH33A-05, 2021
2021
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