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. 2023 Apr 28;16:153. doi: 10.1186/s13071-023-05760-x

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© The Author(s) 2023

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 6 — GLMM model analyses showing the effects of time (CDC week) and weather variables on Ochlerotatus dorsalis trap counts in 2020 and 2021. Seasonal mosquito activity was significantly impacted by c precipitation in the two-week period preceding the trapping date. Since there was no significant effect of a relative humidity and b degree days, only one, black, line is shown (seasonal effect). Week corresponds to the week of the year for 2020 and 2021 (e.g., week 24 is the 24th week of both 2020 and 2021). Points represent observed data