Role of Environmental Factors in Shaping Spatial Distribution of Salmonella enterica Serovar Typhi, Fiji
Ruklanthi de Alwis
, Conall Watson, Birgit Nikolay, John H. Lowry, Nga Tran Vu Thieu, Tan Trinh Van, Dung Tran Thi Ngoc, Kitione Rawalai, Mere Taufa, Jerimaia Coriakula, Colleen L. Lau, Eric J. Nilles, W. John Edmunds, Mike Kama, Stephen Baker, and Jorge Cano
Author affiliations: London School of Hygiene and Tropical Medicine, London, UK (R. de Alwis, C. Watson, B. Nikolay, W.J. Edmunds, J. Cano); Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam (R. de Alwis, N.T.V. Thieu, T.T. Van, D.T.T. Ngoc, S. Baker); Oxford University, Oxford, UK (R. de Alwis, S. Baker); University of the South Pacific, Suva, Fiji (J.H. Lowry); Project Heaven, Suva (K. Rawalai); Ministry of Health and Medical Services, Suva (M. Taufa, M. Kama); Fiji National University, Suva (J. Coriakula); Australian National University, Canberra, Australian Capital Territory, Australia (C.L. Lau); World Health Organization Western Pacific Region, Suva (E.J. Nilles); Brigham and Women’s Hospital, Boston, Massachusetts, USA (E.J. Nilles); Harvard Medical School, Boston (E.J. Nilles)
Figure 3. Partial dependence plots for the 4 most influential variables in boosted regression tree (BRT) model for antibodies against Vi capsular antigen of Salmonella enterica serovar Typhi, Fiji, 2013. A) Age; B) distance to major rivers and creeks; C) annual rainfall; and D) distance to flood-risk areas. The final ensemble BRT was constructed with 50 BRT models and 11 environmental and social covariates by using data from 1,305 samples. Gray areas indicate 95% CIs of plots.
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