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Wyświetlanie 1-8 z 8
Tytuł:
Comparison of stochastic and deterministic models for gambiense sleeping sickness at different spatial scales: A health area analysis in the DRC.
Autorzy:
Davis CN; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; School of Life Sciences, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
Crump RE; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
Sutherland SA; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Warwick Medical School, The University of Warwick, Coventry, United Kingdom.
Spencer SEF; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Department of Statistics, The University of Warwick, Coventry, United Kingdom.
Corbella A; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Department of Statistics, The University of Warwick, Coventry, United Kingdom.
Chansy S; Programme National de Lutte contre la Trypanosomiase Humaine Africaine (PNLTHA), Kinshasa, Democratic Republic of the Congo.
Lebuki J; Programme National de Lutte contre la Trypanosomiase Humaine Africaine (PNLTHA), Kinshasa, Democratic Republic of the Congo.
Miaka EM; Programme National de Lutte contre la Trypanosomiase Humaine Africaine (PNLTHA), Kinshasa, Democratic Republic of the Congo.
Rock KS; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2024 Apr 01; Vol. 20 (4), pp. e1011993. Date of Electronic Publication: 2024 Apr 01 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Trypanosomiasis, African*/epidemiology
Animals ; Humans ; Democratic Republic of the Congo/epidemiology ; Models, Theoretical ; Forecasting ; Markov Chains ; Trypanosoma brucei gambiense
Czasopismo naukowe
Tytuł:
Omitting age-dependent mosquito mortality in malaria models underestimates the effectiveness of insecticide-treated nets.
Autorzy:
Iacovidou MA; Mathematics Institute, University of Warwick, Coventry, United Kingdom.; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
Barreaux P; Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Spencer SEF; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.; Department of Statistics, University of Warwick, Coventry, United Kingdom.
Thomas MB; Department of Biology, University of York, York, United Kingdom.
Gorsich EE; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.; School of Life Sciences, University of Warwick, Coventry, United Kingdom.
Rock KS; Mathematics Institute, University of Warwick, Coventry, United Kingdom.; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2022 Sep 19; Vol. 18 (9), pp. e1009540. Date of Electronic Publication: 2022 Sep 19 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Anopheles*
Insecticides*/pharmacology
Malaria*/prevention & control
Animals ; Insecticide Resistance ; Mosquito Control/methods ; Mosquito Vectors
Czasopismo naukowe
Tytuł:
Modelling to infer the role of animals in gambiense human African trypanosomiasis transmission and elimination in the DRC.
Autorzy:
Crump RE; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
Huang CI; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
Spencer SEF; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; The Department of Statistics, The University of Warwick, Coventry, United Kingdom.
Brown PE; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
Shampa C; Programme National de Lutte contre la Trypanosomiase Humaine Africaine (PNLTHA), Kinshasa, Democratic Republic of the Congo.
Mwamba Miaka E; Programme National de Lutte contre la Trypanosomiase Humaine Africaine (PNLTHA), Kinshasa, Democratic Republic of the Congo.
Rock KS; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
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Źródło:
PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2022 Jul 11; Vol. 16 (7), pp. e0010599. Date of Electronic Publication: 2022 Jul 11 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Trypanosomiasis, African*/epidemiology
Trypanosomiasis, African*/prevention & control
Animals ; Democratic Republic of the Congo/epidemiology ; Forecasting ; Humans ; Models, Theoretical ; Trypanosoma brucei gambiense
Czasopismo naukowe
Tytuł:
Modelling the impact of fexinidazole use on human African trypanosomiasis (HAT) transmission in the Democratic Republic of the Congo.
Autorzy:
Das AM; Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland.
Chitnis N; Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland.
Burri C; Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland.
Paris DH; Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland.
Patel S; Department of Statistics, University of Warwick, Coventry, United Kingdom.; Department of Mathematics, Oregon State University, Corvallis, Oregon, United States of America.
Spencer SEF; Department of Statistics, University of Warwick, Coventry, United Kingdom.
Miaka EM; Programme National de Lutte contre la Trypanosomiase Humaine Africaine, Kinshasa, the Democratic Republic of the Congo.
Castaño MS; Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland.
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Źródło:
PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2021 Nov 29; Vol. 15 (11), pp. e0009992. Date of Electronic Publication: 2021 Nov 29 (Print Publication: 2021).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Trypanocidal Agents/*administration & dosage
Trypanosomiasis, African/*drug therapy
Trypanosomiasis, African/*transmission
Democratic Republic of the Congo/epidemiology ; Humans ; Models, Theoretical ; Trypanosoma brucei gambiense/drug effects ; Trypanosoma brucei gambiense/physiology ; Trypanosomiasis, African/epidemiology ; Trypanosomiasis, African/parasitology
Czasopismo naukowe
Tytuł:
Quantifying epidemiological drivers of gambiense human African Trypanosomiasis across the Democratic Republic of Congo.
Autorzy:
Crump RE; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.; The School of Life Sciences, The University of Warwick, Coventry, United Kingdom.
Huang CI; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
Knock ES; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; The Department of Statistics, The University of Warwick, Coventry, United Kingdom.
Spencer SEF; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; The Department of Statistics, The University of Warwick, Coventry, United Kingdom.
Brown PE; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
Mwamba Miaka E; Programme National de Lutte contre la Trypanosomiase Humaine Africaine (PNLTHA), Kinshasa, D.R.C.
Shampa C; Programme National de Lutte contre la Trypanosomiase Humaine Africaine (PNLTHA), Kinshasa, D.R.C.
Keeling MJ; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.; The School of Life Sciences, The University of Warwick, Coventry, United Kingdom.
Rock KS; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2021 Jan 29; Vol. 17 (1), pp. e1008532. Date of Electronic Publication: 2021 Jan 29 (Print Publication: 2021).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Models, Statistical*
Trypanosoma brucei gambiense*
Trypanosomiasis, African*/epidemiology
Trypanosomiasis, African*/parasitology
Trypanosomiasis, African*/transmission
Bayes Theorem ; Computational Biology ; Democratic Republic of the Congo/epidemiology ; Humans ; Models, Biological
Czasopismo naukowe
Tytuł:
Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC).
Autorzy:
Castaño MS; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland.
Ndeffo-Mbah ML; School of Public Health, Yale University, New Haven, Connecticut, United States of America.; College of Veterinary Medicine and Biosciences, Texas A&M University, College Station, Texas, United States of America.
Rock KS; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.; Mathematics Institute, University of Warwick, Coventry, United Kingdom.
Palmer C; Institute of Disease Modeling, Seattle, Washington, United States of America.
Knock E; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.; Department of Statistics, University of Warwick, Coventry, United Kingdom.
Mwamba Miaka E; Programme National de Lutte contre la Trypanosomiase Humaine Africaine, Kinshasa, the Democratic Republic of the Congo.
Ndung'u JM; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
Torr S; Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Verlé P; Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Spencer SEF; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.; Department of Statistics, University of Warwick, Coventry, United Kingdom.
Galvani A; School of Public Health, Yale University, New Haven, Connecticut, United States of America.
Bever C; Institute of Disease Modeling, Seattle, Washington, United States of America.
Keeling MJ; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.; Mathematics Institute, University of Warwick, Coventry, United Kingdom.
Chitnis N; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland.
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Źródło:
PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2020 Jan 21; Vol. 14 (1), pp. e0007976. Date of Electronic Publication: 2020 Jan 21 (Print Publication: 2020).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Trypanosomiasis, African/*epidemiology
Trypanosomiasis, African/*prevention & control
Data Management ; Democratic Republic of the Congo/epidemiology ; Disease Eradication ; Humans ; Models, Theoretical ; Operations Research ; Trypanosomiasis, African/transmission
Czasopismo naukowe
Tytuł:
The role of case proximity in transmission of visceral leishmaniasis in a highly endemic village in Bangladesh.
Autorzy:
Chapman LAC; Zeeman Institute, University of Warwick, Coventry, UK.; School of Life Sciences, University of Warwick, Coventry, UK.; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Jewell CP; Centre for Health Informatics, Computing And Statistics, Lancaster University, Lancaster, UK.
Spencer SEF; Zeeman Institute, University of Warwick, Coventry, UK.; Department of Statistics, University of Warwick, Coventry, UK.
Pellis L; Zeeman Institute, University of Warwick, Coventry, UK.
Datta S; Zeeman Institute, University of Warwick, Coventry, UK.; National Institute of Water and Atmospheric Research, Wellington, New Zealand.
Chowdhury R; National Institute of Preventive and Social Medicine (NIPSOM), Mohakhali, Dhaka, Bangladesh.; International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Bern C; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Medley GF; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Hollingsworth TD; Zeeman Institute, University of Warwick, Coventry, UK.; School of Life Sciences, University of Warwick, Coventry, UK.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
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Źródło:
PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2018 Oct 08; Vol. 12 (10), pp. e0006453. Date of Electronic Publication: 2018 Oct 08 (Print Publication: 2018).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Disease Transmission, Infectious*
Leishmaniasis, Visceral/*transmission
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Bangladesh ; Child ; Child, Preschool ; Endemic Diseases ; Epidemiologic Studies ; Female ; Geography ; Humans ; Infant ; Infant, Newborn ; Leishmaniasis, Visceral/epidemiology ; Longitudinal Studies ; Male ; Middle Aged ; Models, Statistical ; Rural Population ; Spatio-Temporal Analysis ; Young Adult
Czasopismo naukowe
Tytuł:
Inferring source attribution from a multiyear multisource data set of Salmonella in Minnesota.
Autorzy:
Ahlstrom C; Epi-interactive, Wellington, New Zealand.
Muellner P; Epi-interactive, Wellington, New Zealand.
Spencer SEF; University of Warwick, Coventry, UK.
Hong S; Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, USA.
Saupe A; Minnesota Department of Health, Saint Paul, MN, USA.
Rovira A; Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, USA.
Hedberg C; Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Perez A; Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, USA.
Muellner U; Epi-interactive, Wellington, New Zealand.
Alvarez J; Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, USA.
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Źródło:
Zoonoses and public health [Zoonoses Public Health] 2017 Dec; Vol. 64 (8), pp. 589-598. Date of Electronic Publication: 2017 Mar 13.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Epidemiological Monitoring*
Food Microbiology*
Models, Biological*
Salmonella/*genetics
Salmonella Food Poisoning/*epidemiology
Animals ; Bayes Theorem ; Chickens/microbiology ; Humans ; Meat/microbiology ; Minnesota/epidemiology ; Salmonella Infections, Animal/epidemiology ; Salmonella Infections, Animal/microbiology ; Time Factors ; Zoonoses
Czasopismo naukowe
    Wyświetlanie 1-8 z 8

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