| The impacts of agroforestry interventions on agricultural productivity, ecosystem services, and human well‐being in low‐and middle‐income countries: A systematic review SE Castle, DC Miller, PJ Ordonez, K Baylis, K Hughes Campbell Systematic Reviews 17 (2), e1167, 2021 | 50 | 2021 |
| Modeling epidemics: A primer and Numerus Model Builder implementation WM Getz, R Salter, O Muellerklein, HS Yoon, K Tallam Epidemics 25, 9-19, 2018 | 48 | 2018 |
| Cross-species transmission of coronaviruses in humans and domestic mammals, what are the ecological mechanisms driving transmission, spillover, and disease emergence? N Nova Frontiers in public health 9, 717941, 2021 | 31 | 2021 |
| Deep learning segmentation of satellite imagery identifies aquatic vegetation associated with snail intermediate hosts of schistosomiasis in Senegal, Africa ZYC Liu, AJ Chamberlin, K Tallam, IJ Jones, LL Lamore, J Bauer, ... Remote Sensing 14 (6), 1345, 2022 | 27 | 2022 |
| Identification of Snails and Schistosoma of Medical Importance via Convolutional Neural Networks: A Proof-of-Concept Application for Human Schistosomiasis K Tallam, ZYC Liu, AJ Chamberlin, IJ Jones, P Shome, G Riveau, ... Frontiers in Public Health 9, 642895, 2021 | 13 | 2021 |
| Predicting flood hazards in the Vietnam central region: An artificial neural network approach M Pham Quang, K Tallam Sustainability 14 (19), 11861, 2022 | 9 | 2022 |
| Application of Deep Learning for Classification of Intertidal Eelgrass from Drone-Acquired Imagery K Tallam, N Nguyen, J Ventura, A Fricker, S Calhoun, J O’Leary, ... Remote Sensing 15 (9), 2321, 2023 | 5 | 2023 |
| Variable immunity and its consequences for parasite dynamics TE Stewart Merrill | 3 | 2019 |
| The impact of information on animal product consumption SR Hennessy University of Illinois at Urbana-Champaign, 2016 | 3 | 2016 |
| Applications of artificial intelligence in predicting dengue outbreaks in the face of climate change: a case study along coastal India K Tallam, MP Quang medRxiv, 2023.01. 18.23284134, 2023 | 2 | 2023 |
| A quantitative narrative on movement, disease and patch exploitation in nesting agent groups WM Getz, R Salter, K Tallam bioRxiv, 791400, 2019 | 2 | 2019 |
| Novel Machine Learning Approach for Predicting Poverty using Temperature and Remote Sensing Data in Ethiopia O Shah, K Tallam arXiv preprint arXiv:2302.14835, 2023 | 1 | 2023 |
| Assessing Eelgrass Wasting Disease Dynamics in California Estuaries in the Context of Climate Change K Tallam Preprints, 2023 | | 2023 |
| The role of diseases in unifying the health of global estuaries K Tallam, E White Jr Frontiers in Marine Science 10, 1185662, 2023 | | 2023 |
| Climatic, land-use and socio-economic factors can predict malaria dynamics at fine spatial scales relevant to local health actors: Evidence from rural Madagascar JD Pourtois, K Tallam, I Jones, E Hyde, AJ Chamberlin, MV Evans, ... PLOS Global Public Health 3 (2), e0001607, 2023 | | 2023 |
| Predicting Wildfire Susceptibility in Napa County, California using Machine Learning S Shakeri, K Tallam Journal of Student Research 11 (3), 2022 | | 2022 |
| Predicting Flood Hazards in the Vietnam Central Region: An Artificial Neural Network Approach. Sustainability 2022, 14, 11861 M Pham Quang, K Tallam s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
| IDENTIFICATION OF SNAILS AND SCHISTOSOMA OF MEDICAL IMPORTANCE VIA CONVOLUTIONAL NEURAL NETWORKS K Tallam, ZYCLY Liu, AJ Chamberlin, IJ Jones, P Shome, G Riveau, ... AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE 105 (5), 295-295, 2021 | | 2021 |
| Climate Resilience in Coastal India: a Tale of Visakhapatnam Fishers K Tallam, P Nath Ocean Visions 2021 Summit, S3-02, 2021 | | 2021 |
| Movement, disease and patch exploitation in nesting agent groups WM Getz, K Tallam, R Salter 2020 Spring Simulation Conference (SpringSim), 1-12, 2020 | | 2020 |
Wayne Marcus GetzProfessor of Environmental Sciece, UC BerkeleyVerified email at berkeley.edu
