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Cited by 63

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Geographic distribution and ecological niche of plague in sub-Saharan Africa

Neerinckx, Simon B, Peterson, Andrew T, Gulinck, Hubert, Deckers, Jozef, Leirs, Herwig·2008·International Journal of Health Geographics
DOI 10.1186/1476-072x-7-54PMC PMC2582229
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Figure 1 Geographic overview of plague in Africa. Inset: 45 occurrence points, colored differently to indicate the four regional subsets: subset A (dark blue triangles); subset B (light blue squares); subset C (green circles); subset D (pink diamonds). Sub-Saharan region shown in inset covers training region used for ENM development. Overall figure: projection of the ecological niche model based on all 45 occurrence locations from Sub-Saharan Africa. Dark shades indicate areas with greater model agreement in predicting areas as suitable for plague. Occurrence points in sub-Saharan Africa on which predictions were based, are shown in light blue; independent test points in Madagascar and North Africa are shown in green.
Figure 1 Geographic overview of plague in Africa. Inset: 45 occurrence points, colored differently to indicate the four regional subsets: subset A (dark blue triangles); subset B (light blue squares); subset C (green circles); subset D (pink diamonds). Sub-Saharan region shown in inset covers training region used for ENM development. Overall figure: projection of the ecological niche model based on all 45 occurrence locations from Sub-Saharan Africa. Dark shades indicate areas with greater model agreement in predicting areas as suitable for plague. Occurrence points in sub-Saharan Africa on which predictions were based, are shown in light blue; independent test points in Madagascar and North Africa are shown in green.CC BY · PubMed Central
Figure 2 Relative contributions of single-data environmental data sets. Horizontal bar graph presents a summary of results of single-data coverage model analyses, indicating mean omission percentages (and standard deviations) calculated based on predictions of 10 best-subset models and independent testing points. Note that positive contribution by the variable is indicated by low values in the single-coverage models.
Figure 2 Relative contributions of single-data environmental data sets. Horizontal bar graph presents a summary of results of single-data coverage model analyses, indicating mean omission percentages (and standard deviations) calculated based on predictions of 10 best-subset models and independent testing points. Note that positive contribution by the variable is indicated by low values in the single-coverage models.CC BY · PubMed Central
Figure 3 Relative contributions of N-1 environmental data sets. Horizontal bar graph presents a summary of results of N-1 coverage model analyses, indicating mean omission percentages (and standard deviations) calculated based on predictions of 10 best-subset models and independent testing points. Note that positive contribution by the variable is indicated by high values in the N-1 coverage models. At the bottom of the bar graph, mean omission percentage (and standard deviation) based on all environmental coverages is presented.
Figure 3 Relative contributions of N-1 environmental data sets. Horizontal bar graph presents a summary of results of N-1 coverage model analyses, indicating mean omission percentages (and standard deviations) calculated based on predictions of 10 best-subset models and independent testing points. Note that positive contribution by the variable is indicated by high values in the N-1 coverage models. At the bottom of the bar graph, mean omission percentage (and standard deviation) based on all environmental coverages is presented.CC BY · PubMed Central
Figure 4 Potential plague distribution predictions based on regional subsets. Potential plague distribution predictions were based on all environmental coverages and 3 regional subsets of occurrence points in sub-Saharan Africa. Independent test points from fourth subset are surrounded by a black oval. Dark shades indicate areas with greater model agreement in predicting area as suitable for plague; upper left, subsets B, C and D predict A; upper right, subsets A, C and D predict B; bottom left, subsets A, B and D predict C; and bottom right, subsets A, B, C predict D.
Figure 4 Potential plague distribution predictions based on regional subsets. Potential plague distribution predictions were based on all environmental coverages and 3 regional subsets of occurrence points in sub-Saharan Africa. Independent test points from fourth subset are surrounded by a black oval. Dark shades indicate areas with greater model agreement in predicting area as suitable for plague; upper left, subsets B, C and D predict A; upper right, subsets A, C and D predict B; bottom left, subsets A, B and D predict C; and bottom right, subsets A, B, C predict D.CC BY · PubMed Central
Figure 5 Visualizations of plague ecological niches. Examples of visualizations of modeled plague ecological niches are shown in two-dimensional spaces. Shown are all available habitat in the area of observation (light grey squares); general plague niche predicted by all available occurrence points (dark grey diamonds); niche predicted by A (yellow triangles); niche predicted by B (blue circles); niche predicted by C (green triangles); niche predicted by D (pink circles).
Figure 5 Visualizations of plague ecological niches. Examples of visualizations of modeled plague ecological niches are shown in two-dimensional spaces. Shown are all available habitat in the area of observation (light grey squares); general plague niche predicted by all available occurrence points (dark grey diamonds); niche predicted by A (yellow triangles); niche predicted by B (blue circles); niche predicted by C (green triangles); niche predicted by D (pink circles).CC BY · PubMed Central

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Research works printed but not linked: 31

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Metadata

Authors
Neerinckx, S. B., Peterson, A. T., Gulinck, H., Deckers, J., & Leirs, H.
Venue
International Journal of Health Geographics
Publisher
Springer Science and Business Media LLC
Published
2008
Volume
7
Issue
1
Pages
54
ISSN
1476-072X
DOI
10.1186/1476-072x-7-54
PMC
PMC2582229
Cited by
63
References
1
Language
en

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CoChat. (2026). Citation check: Geographic distribution and ecological niche of plague in sub-Saharan Africa. https://app.cochat.ai/papers/10.1186/1476-072x-7-54
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Neerinckx, S. B., Peterson, A. T., Gulinck, H., Deckers, J., & Leirs, H. (2008). Geographic distribution and ecological niche of plague in sub-Saharan Africa. International Journal of Health Geographics. https://doi.org/10.1186/1476-072x-7-54