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Research

Results for Disease mapping

Publications & Outputs

  1. Understanding the importance of spatial correlation in identifying spatio-temporal variation of disease risk, in the case of malaria risk mapping in southern Ethiopia

    Shuke kitawa, Y., Johnson, O., Giorgi, E. & Asfaw, Z., 30/11/2023, In: Scientific African. 22, 14 p., e01926.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Combining school-catchment area models with geostatistical models for analysing school survey data from low-resource settings: Inferential benefits and limitations

    Macharia, P., Ray, N., Gitonga, C. W., Snow, R. W. & Giorgi, E., 31/10/2022, In: Spatial Statistics. 51, 24 p., 100679.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Model building and assessment of the impact of covariates for disease prevalence mapping in low-resource settings

    Giorgi, E., Fronterre, C., Macharia, P., Alegana, V., Snow, R. W. & Diggle, P., 30/06/2021, In: Interface. 18, 179, 20210104.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Understanding the effects of dichotomization of continuous outcomes on geostatistical inference

    Kyomuhangi, I., Abeku, T. A., Kirby, M. J., Tesfaye, G. & Giorgi, E., 30/04/2021, In: Spatial Statistics. 42, 16 p., 100424.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Geostatistical methods for modelling non-stationary patterns in disease risk

    Ejigu, B. A., Wencheko, E., Moraga-Serrano, P. & Giorgi, E., 9/12/2019, (E-pub ahead of print) In: Spatial Statistics. 35, 15 p., 100397.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. SpatialEpiApp: A Shiny Web Application for the Analysis of Spatial and Spatio-Temporal Disease Data

    Moraga-Serrano, P., 11/2017, In: Spatial and Spatio-temporal Epidemiology. 23, p. 47-57 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Gaussian component mixtures and CAR models in Bayesian disease mapping

    Moraga, P. & Lawson, A. B., 06/2012, In: Computational Statistics and Data Analysis. 56, 6, p. 1417-1433 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review