| P50 | author | Peter Diggle | Q16728567 |
| | Emanuele Giorgi | Q56001258 |
| P2093 | author name string | Robert W Snow | |
| | Abdisalan M Noor | |
| P2860 | cites work | A long neglected world malaria map: Plasmodium vivax endemicity in 2010 | Q21144495 |
| | A world malaria map: Plasmodium falciparum endemicity in 2007 | Q21144643 |
| | Spatial modelling of soil-transmitted helminth infections in Kenya: a disease control planning tool | Q28477102 |
| | Changing Malaria Prevalence on the Kenyan Coast since 1974: Climate, Drugs and Vector Control | Q28548617 |
| | Space-Time Smoothing of Complex Survey Data: Small Area Estimation for Child Mortality. | Q30382627 |
| | Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results. | Q30580258 |
| | The changing risk of Plasmodium falciparum malaria infection in Africa: 2000-10: a spatial and temporal analysis of transmission intensity | Q33648438 |
| | Bayesian inference for generalized linear mixed models | Q33904218 |
| | Mapping the risk of anaemia in preschool-age children: the contribution of malnutrition, malaria, and helminth infections in West Africa | Q33936776 |
| | The geographic distribution of onchocerciasis in the 20 participating countries of the African Programme for Onchocerciasis Control: (2) pre-control endemicity levels and estimated number infected | Q34465622 |
| | Adaptive geostatistical sampling enables efficient identification of malaria hotspots in repeated cross-sectional surveys in rural Malawi. | Q36280015 |
| | Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania | Q36387319 |
| | Bayesian geostatistical modelling with informative sampling locations | Q37097894 |
| | Mapping malaria transmission intensity in Malawi, 2000-2010 | Q37287636 |
| | Geographic distribution of human immunodeficiency virus in South Africa. | Q37331590 |
| | Health indicators: eliminating bias from convenience sampling estimators | Q37632731 |
| | Spatial risk prediction and mapping of Schistosoma mansoni infections among schoolchildren living in western Côte d'Ivoire | Q39385048 |
| | The importance of scale for spatial-confounding bias and precision of spatial regression estimators. | Q42721906 |
| | On estimation and prediction for spatial generalized linear mixed models | Q43476325 |
| | Use of generalized linear mixed models in the spatial analysis of small-area malaria incidence rates in Kwazulu Natal, South Africa | Q47885092 |
| P4510 | describes a project that uses | Bayes' theorem | Q182505 |
| | RStudio | Q4798119 |
| P433 | issue | 3 | |
| P304 | page(s) | 571-597 | |
| P577 | publication date | 2018-04-25 | |
| P1433 | published in | International Statistical Review | Q15758564 |
| P1476 | title | Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio-temporally Referenced Prevalence Surveys | |
| P478 | volume | 86 | |