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. 2023 Nov 2;51:60. doi: 10.1186/s41182-023-00554-4

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© The Author(s) 2023

Open Access This 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/.

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Fig. 5 — Determinants of malaria incidence. Final model of the SEM constructed using data from each province for 2002 to 2015. CMIN/df = 1.252, CFI = 0.989, GFI = 0.989. ¹Southern region = 2, and the other regions except capital city = 1, ²API. ³Proportion of forested land was calculated based on European Space Agency (ESA) data. ⁴LST was based on National Aeronautics and Space Administration (NASA) data. ⁵Precipitation was also based on NASA data. *All correlations were statistically significant (p < 0.01)