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A spatio-temporal approach to short-term prediction of visceral leishmaniasis diagnoses in India.
Nightingale, Emily S; Chapman, Lloyd A C; Srikantiah, Sridhar; Subramanian, Swaminathan; Jambulingam, Purushothaman; Bracher, Johannes; Cameron, Mary M; Medley, Graham F.
Afiliação
  • Nightingale ES; Centre for Mathematical Modelling of Infectious Disease and Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Chapman LAC; Centre for Mathematical Modelling of Infectious Disease and Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Srikantiah S; CARE India, Patna, Bihar, India.
  • Subramanian S; Vector Control Research Centre, Puducherry, Chennai, India.
  • Jambulingam P; Vector Control Research Centre, Puducherry, Chennai, India.
  • Bracher J; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
  • Cameron MM; Department of Disease Control, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Medley GF; Centre for Mathematical Modelling of Infectious Disease and Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom.
PLoS Negl Trop Dis ; 14(7): e0008422, 2020 07.
Article em En | MEDLINE | ID: mdl-32644989
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Leishmaniose Visceral Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Leishmaniose Visceral Idioma: En Ano de publicação: 2020 Tipo de documento: Article