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Journal of Epidemiology and Global Health logoLink to Journal of Epidemiology and Global Health
. 2026 Feb 27;16(1):23. doi: 10.1007/s44197-025-00498-4

Correction: Spatiotemporally Explicit Epidemic Model for West Nile Virus Outbreak in Germany: An Inversely Calibrated Approach

Oliver Chinonso Mbaoma 1,✉, Stephanie Margarete Thomas 1,2, Carl Beierkuhnlein 1,2,3,4
PMCID: PMC12949209  PMID: 41761022

Correction: Journal of Epidemiology and Global Health (2024) 14:1052-1070

10.1007/s44197-024-00254-0

In this article, in the caption to Fig. 1, the labels ‘a’ and ‘b’ were swapped. The caption was incorrectly given as

Fig. 1 WNV cases in animals (a) and humans (b) across Germany between 2018 and 2022. The black dots in a are locations where WNV infection has been detected in animals obtained from Animal Diseases Information System (TSIS) of Friedrich Loeffler Institute. The blue-coloured polygons in b are Nomenclature of Territorial Units for Statistics NUTS3 administrative areas where human WNV infections have been detected obtained from SurvStat database of Robert Koch-Institute. c represents observations of Northern goshawk while d represents observations of Hooded crow across Germany between 2018 and 2022 respectively

and should have read

Fig. 1 WNV cases in humans (a) and animals (b) across Germany between 2018 and 2022. The blue-coloured polygons in a are Nomenclature of Territorial Units for Statistics NUTS3 administrative areas where human WNV infections have been detected obtained from SurvStat database of Robert Koch-Institute. The black dots in b are locations where WNV infection has been detected in animals obtained from Animal Diseases Information System (TSIS) of Friedrich Loeffler Institute. c represents observations of Northern goshawk while d represents observations of Hooded crow across Germany between 2018 and 2022 respectively.

Furthermore, Eq. 8 was incorrectly given as Inline graphic and should have been Inline graphic .

Also, in Table 4 of this article, the second entry in the second column was incorrectly given as ‘0.0093T − 0.1352’ and should have been ‘0.0093T − 0.1352 if T > 15, else 0’.

The original article has been corrected.

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