A

Abbott, S, Howes, A, Park, SW, Funk, S, Bayer, D and DeWitt, M (2025). epinowcast/epidist. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.14213016

E

Els, F, Maree, G, Naidoo, Y, Naidoo, L, Mahamuza, P, Macheke, M, Ndlovu, N, Iwu-Jaja, C, Taukobong, S, Maposa, S, O'reilly, KM, Yousif, M, McCarthy, K and Rachida, S (2025). Wastewater surveillance overcomes socio-economic limitations of laboratory-based surveillance when monitoring disease transmission: the South African experience during the COVID-19 pandemic. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.28227206.v1

H

Hodgson, D (2025). seroanalytics/serojump. [Data Collection]. Github. https://github.com/seroanalytics/serojump

K

King, AA, O'Dea, E, Asfaw, K, Wheeler, J, Breto, C, Ionides, E, Akinshin, A, Voipio, T and Funk, S (2025). kingaa/pomp. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.15364461

L

Lim, A (2025). ahyoung-lim/Arbo_riskmaps_public. [Data Collection]. Github. https://github.com/ahyoung-lim/Arbo_riskmaps_public

Lim, A and Brady, OJ (2025). Data and code from "The overlapping global distribution of dengue, chikungunya, Zika and yellow fever". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.26172934.v1

Lotto Batista, M, Carvalho, B, Gibb, R, Solaraju-Murali, B, Flasche, S, Castell, S, Ghozzi, S and Lowe, R (2025). Data and R-code to accompany 'Modelling the impact of climate and the environment on the spatiotemporal dynamics of Lyme borreliosis in Germany'. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.15195877

P

Prestige, E (2025). cmmid/comix_mobility. [Data Collection]. Github. https://github.com/cmmid/comix_mobility

S

Sherratt, K and Funk, S (2025). epiforecasts/eval-by-method. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.14903161