Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio‐temporally Referenced Prevalence Surveys

Giorgi, E., Diggle, P. J., Snow, R. W. & Noor, A. M., 12/2018, In: International Statistical Review. 86, 3, p. 571-597 27 p.

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Integrating environmental, entomological, animal, and human data to model the Leishmania infantum transmission risk in a newly endemic area in northern Italy

Giorgi, E., 1/12/2020, In: One Health. 10, 8 p., 100159.

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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.

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Maplaria: a user friendly web-application for spatio-temporal malaria prevalence mapping

Giorgi, E., Macharia, P., Woodmansey, J., Snow, R. W. & Rowlingson, B., 20/12/2021, In: Malaria Journal. 20, 11 p., 471.

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Geostatistical inference in the presence of geomasking: A composite-likelihood approach

Fronterre, C., Giorgi, E. & Diggle, P. J., 12/2018, In: Spatial Statistics. 28, p. 319-330 12 p.

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Understanding the spatial distribution of trichiasis and its association with trachomatous inflammation—follicular

Flueckiger, R. M., Giorgi, E., Cano, J., Abdala, M., Amiel, O. N., Baayenda, G., Bakhtiari, A., Batcho, W., Bennawi, K. H., Dejene, M., Elshafie, B. E., Elvis, A. A., Francois, M., Goepogui, A., Kalua, K., Kebede, B., Kiflu, G., Masika, M. P., Massangaie, M., Mpyet, C., & 8 othersNdjemba, J., Ngondi, J. M., Olobio, N., Turyaguma, P., Willis, R., Yeo, S., Solomon, A. W. & Pullan, R. L., 30/04/2019, In: BMC Infectious Diseases. 19, 16 p., 364.

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A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community

Eyre, M., Carvalho-Pereira, T., Souza, F. N., Hussein, K., Hacker, K. P., Serrano, S., Taylor, J., Reis, M. G., Ko, A. I., Begon, M., Diggle, P., Costa, F. & Giorgi, E., 30/09/2020, In: Interface. 17, 170

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IMPROVING DETECTION OF RECENT SUBCLINICAL LEPTOSPIRAL INFECTIONS IN HIGH PREVALENCE COMMUNITIES: MODELLING THE MICROSCOPIC AGGLUTINATION TEST (MAT) TITRE DECAY

Eyre, M., Giorgi, E., Costa, F., Ko, A. & Diggle, P. J., 16/09/2019, In: Transactions of The Royal Society of Tropical Medicine and Hygiene. 113, Suppl. 1, p. S107-S107 1 p.

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Linking rattiness, geography and environmental degradation to spillover Leptospira infections in marginalised urban settings: an eco-epidemiological community-based cohort study in Brazil

Eyre, M., Souza, F. N., Carvalho-Pereira, T., Nery Jr., N., de Oliveira, D., Cruz, J. S., Sacramento, G. A., Khalil, H., Wunder Jr., E. A., Hacker, K. P., Hagan, J. E., Childs, J. E., Reis, M. G., Begon, M., Diggle, P., Ko, A. I., Giorgi, E. & Costa, F., 16/09/2022, (E-pub ahead of print) In: eLife. 11

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