Simulated posterior predictive distributions of PfPR2–10 at different spatial scales.

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healthcaregeospatial

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dataset

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PetAnaSim

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The crucial feature of the jointly simulated realisations of PfPR_2–10 was that they could be aggregated over arbitrary spatial and/or temporal regions to generate posterior predictive distributions of mean PfPR_2–10, constituting appropriate models of regional uncertainty. In this example, such predicted distributions are provided at three different scales, predicting mean PfPR_2–10 for the entire African continent (i); across the nations of Ghana (ii), Democratic Republic of Congo (iv) and Kenya (vi); and across a first administrative level unit of those countries (Ashanti Region, Ghana(iii); Kinshasa Province, DRC (v); Nyanza Province, Kenya (vii)).

Treatment T2.

The cacao swollen shoot virus disease (CSSVD) is among the most economically damaging diseas

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A series of all-thiol stabilized bimetallic Au–Cu nanoclusters, [Au_12+nCu_32</

Comparison of stochastic and deterministic models for gambiense sleeping sickness at different spatial scales: A health area analysis in the DRC

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Geographical distribution of COVID-19 with weighting wA and wB applied separately.

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The cacao swollen shoot virus disease (CSSVD) is among the most economically damaging diseas

Treatment T3.

The cacao swollen shoot virus disease (CSSVD) is among the most economically damaging diseas

Simulated posterior predictive distributions of <i>Pf</i>PR<sub>2–10</sub> at different spatial scales.

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