- Davoodi, M., Batista, A., Senapati, A., Schlechte-Welnicz, W., Wagner, B., Calabrese, J.M. (2025):
Optimal testing strategies in long-term care facilities during pandemics
J. Optim. Theory Appl. 208 , art. 38 10.1007/s10957-025-02843-w - Govind, G., Lange, M., Grimm, V., Frank, K., Groeneveld, J. (2026):
A machine learning-derived metamodel of BEEHAVE predicts how honey yield depends on weather and region across Germany
Ecol. Model. 512 , art. 111422 10.1016/j.ecolmodel.2025.111422 - Wang, M., Chen, Z., Parry, H., Whitehouse, M., Kriticos, D.J., Ota, N., Paini, D., Grimm, V. (2026):
Harnessing atmospheric dispersion models for predicting long-distance dispersal of small pest insects
Comput. Electron. Agric. 240 , art. 111154 10.1016/j.compag.2025.111154 - Ablormeti, F.K., Corcino Souza, P.G., Awuah, R.T., Kwoseh, C.K., Agbetiameh, D., Kena, A.W., Aidoo, K.A.S., Lutuf, H., Sossah, F.L., Siqueira da Silva, R., Aidoo, O.F. (2025):
Modeling global habitat suitability of Agroathelia rolfsii causing Sclerotium wilt disease of tomato with emphasis on Ghana
Sci. Rep. 15 , art. 34034 10.1038/s41598-025-12259-1 - Bahlburg, D., Thorpe, S.E., Meyer, B., Berger, U., Murphy, E.J. (2025):
Correction: An intercomparison of models predicting growth of Antarctic krill (Euphausia superba): The importance of recognizing model specificity
PLOS One 20 (9), e0333273 10.1371/journal.pone.0333273