PLOS 21/08/20 Managing disease outbreaks: The importance of vector mobility and spatially heterogeneous control. Citation: Demers J, Bewick S, Agusto F, Caillouët KA, Fagan WF, Robertson SL (2020) Managing disease outbreaks: The importance of vector mobility and spatially heterogeneous control.
PLoS Comput Biol 16(8): e1008136. Editor: Roger Dimitri Kouyos, University of Zurich, SWITZERLAND Received: September 27, 2019; Accepted: July 9, 2020; Published: August 21, 2020 Copyright: © 2020 Demers et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: All relevant data are within the manuscript and its Supporting Information files. PLOS 15/01/20 A scoping review of importation and predictive models related to vector-borne diseases, pathogens, reservoirs, or vectors (1999–2016) Abstract Background As globalization and climate change progress, the expansion and introduction of vector-borne diseases (VBD) from endemic regions to non-endemic regions is expected to occur.
Mathematical and statistical models can be useful in predicting when and where these changes in distribution may happen. Our objective was to conduct a scoping review to identify and characterize predictive and importation models related to vector-borne diseases that exist in the global literature. Methods. J R Soc Interface. 2018 Aug;15(145) Dynamic modelling of personal protection control strategies for vector-borne disease limits the role of diversity amplification. 1.
Introduction The use of epidemiological modelling to study vector-borne diseases has a long history, dating back over 50 years to the classic Ross–MacDonald model [1–3]. Since then, there have been numerous extensions and adaptations [4,5], including spatial dynamics , host heterogeneity [7,8], seasonality , stochasticity  and control [11,12]. Trop. Med. Infect. Dis. 2019, 4(1), 15; Use of Geospatial Surveillance and Response Systems for Vector-Borne Diseases in the Elimination Phase. EFSA 05/06/18 SIGMA A comprehensive animal disease data collection approach. Epidémiol. et santé anim., 2005, 47, 35-51 MODELISATION DES MALADIES VECTORIELLES* EditorialBarbara Dufour L'aide de l'épidémiologie aux décisions de santéL.
Blajan Modélisation en épidémiologie : objectifs et méthodes M. PARASITES & VECTORS 26/04/17 Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae) Distribution, endemicity and transmission potential of vector-borne pathogens is regulated by the communities of potential vector organisms [1, 2].
Mosquitoes, while mostly a nuisance of little impact, are also among the most important vectors for various pathogens. Several Culicidae taxa have been demonstrated to (potentially) transmit members of the Flaviviridae (e.g. NATURE / SCIENTIFIC REPORTS 19/04/16 Predicting the epidemic threshold of the susceptible-infected-recovered model. Theoretical predictions of epidemic threshold In the SIR pattern of the spread of disease through a network, at any given time each node is either susceptible, infected, or recovered.
A susceptible node does not transmit the disease. Infected nodes contract the disease and spread it to their neighbors. A recovered node has returned to health and no longer spreads the disease. The synchronous updating method30 is applied to renew the states of nodes. BLOG BIOMED 06/10/15 Predicting Epidemics Dr. Hiroshi Nishiura, Editor-in-Chief of Theoretical Biology and Medical Modelling, discusses what the current biggest epidemics are, where the next big epidemic will come from and how we will cope with it and if. How can we prevent epidemics?
Flickr Professor Hiroshi Nishiura is an Associate Professor at Graduate School of Medicine, The University of Tokyo. After working 10 years for different infectious disease modeling groups at Imperial College London, University of Tuebingen (Germany), University of Utrecht (The Netherlands) and the University of Hong Kong, he returned to Japan in 2013, launching a real-time epidemic modelling unit and starting to building up research capacity and intensify collaborations with governmental entities using mathematical models. His research interests span the areas of statistical epidemiology of infectious diseases, epidemiological modeling and biomathematical formulation of the transmission dynamics of infectious diseases. ARXIV 25/11/13 Bayesian Analysis of Epidemics - Zombies, Influenza, and other Diseases. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY - 2010 - Modelling parasite transmission and control.
MASSEY UNIVERSITY 01/06/15 Bayesian data assimilation provides rapid decision support for vector-borne diseases. ARXIV 25/11/13 Bayesian Analysis of Epidemics - Zombies, Influenza, and other Diseases. IMPERIAL COLLEGE LONDON 04/02/14 Présentation : Predicting the utility of novel strategies for vector-borne disease control using mathematical models. INTERNATIONAL CENTER OF INSECT PHYSIOLOGY (ICIPE) - FEV 2015 - Présentation: Crop insect pest modeling: What have we learned from past efforts?
Applied Mathematics, 2013, 4, 13-17 SEIR Model and Simulation for Vector Borne Diseases. PARASITES AND VECTORS 18/12/13 Bayesian geostatistical modelling of soil-transmitted helminth survey data in the People's Republic of China. Ethical considerations The work presented here is based on soil-transmitted helminth survey data derived from the second national survey and additional studies identified through an extensive review of the literature.
All data in our study was extracted from published sources and they are aggregated over villages, towns or counties; therefore, do not contain information that is identifiable at individual or household level. Hence, there are no specific ethical considerations. Disease data Geo-referenced data on soil-transmitted helminth infections from the second national survey conducted in P.R. Climatic, demographic and environmental data Climatic, demographic and environmental data were downloaded from different readily accessible remote sensing data sources, as shown in Table 1.
Moderate Resolution Imaging Spectroradiometer (MODIS) Reprojection Tool version 4.1 (EROS; Sioux Falls, USA) was applied to process MODIS/Terra data. Statistical analysis. ISPRS Int. J. Geo-Inf. - 2014 - Dasymetric Mapping and Spatial Modeling of Mosquito Vector Exposure, Chesapeake, Virginia, USA. 4.1.
Human Vulnerability and Mosquito Vector Abundance To assess the sensitivity and accuracy of the dasymetric mapping techniques, the raster surface of vulnerability can be compared to the data mapped by block groups. The dasymetric map was expected to provide a more spatially precise representation of population vulnerability as compared to the Census block group choropleths. Indeed, the block groups show few distinct patterns of vulnerability across Chesapeake (Figure 4). In general, the block groups indicate vulnerability mapped at a coarse scale.
Figure 7. Click here to enlarge figure Two finer scale patterns of vulnerability are evident across the city. Public health and mosquito control specialists treat highly urbanized and dense population centers slightly differently from suburban populations. Other studies have used dasymetric techniques to map population density and have obtained similar results. 4.2. Figure 8. Click here to enlarge figure Figure 9. Figure 10. BIOLOGICAL REVIEWS - 2014 - Towards a resource-based habitat approach for spatial modelling of vector-borne disease risks. KANSAS STATE UNIVERSITY - 2013 - Thèse en ligne : MODELING AND ANALYSIS OF VECTOR-BORNE DISEASES ON COMPLEX NETWORKS. ARCHIVES OUVERTES - 2009 - Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM) Int. J. Environ. Res. Public Health 2014, Predictiveness of Disease Risk in a Global Outreach Tourist Setting in Thailand Using Meteorological Data and Vector-Borne Disease Incidences. 1 Center of Excellence for Vectors and Vector-Borne Diseases, Faculty of Science, Mahidol University at Salaya, Nakhon Pathom 73170, Thailand 2 Department of Medical Sciences, Ministry of Public Health, Nonthaburi 11000, Thailand 3 Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University, Umeå 90187 , Sweden * Author to whom correspondence should be addressed.
Received: 12 March 2014 / Revised: 30 September 2014 / Accepted: 7 October 2014 / Published: 16 October 2014 Dengue and malaria are vector-borne diseases and major public health problems worldwide. Changes in climatic factors influence incidences of these diseases. 6th EUROSIM Congress on Modelling and Simulation - SEPT 2007 - MODELLING A FOOD INDUSTRY PROCESS BY DECISION TREE. Parasitology. 2014 May;141(6):837-48. Modelling inter-human transmission dynamics of Chagas disease: analysis and application. Applied Mathematics, 2013, 4, 13-17 SEIR Model and Simulation for Vector Borne Diseases. PLOS 13/06/13 Developing Models of Disease Transmission: Insights from Ecological Studies of Insects and Their Baculoviruses. Figures Citation: Elderd BD (2013) Developing Models of Disease Transmission: Insights from Ecological Studies of Insects and Their Baculoviruses. PLoS Pathog 9(6): e1003372. doi:10.1371/journal.ppat.1003372 Editor: Joseph Heitman, Duke University Medical Center, United States of America Published: June 13, 2013 Copyright: © 2013 Elderd.
Funding: The study was supported by the Louisiana Board of Regents. Competing interests: The author has declared that no competing interests exist. Mathematical models of disease outbreaks play a crucial role in guiding public health policy – and have provided critical insights into the ecological dynamics of pathogen-regulated populations , . What Are Baculoviruses? From a medical and microbiology perspective, baculoviruses have been developed as expression vectors and for research tools in medicine such as vaccine development , . INRA ANGERS 20/06/12 Modéliser pour comprendre et prédire la dynamique des populations de vecteurs et des maladies vectorielles. Modélisation et moustiques. Conference of the International Cartographic Association, Paris : France (2011) From Grid Environment to Geographic Vector Agent.
International Journal of Health Geographics 2012, 11:39 Modelling zoonotic diseases in humans: comparison of methods for hantavi. Malar J. 2013 Jan 3;12:4. Modelling the cost-effectiveness of mass screening and treatment for reducing Plasmodium falciparum ma.
Malar J. 2013 Jan 3;12:4. Modelling the cost-effectiveness of mass screening and treatment for reducing Plasmodium falciparum malaria burden. – guatemalt
Environnement, Risques & Santé. Volume 4, Numéro 2, Mars-Avril 2005 Au sommaire:Modélisation de l'agressivité de Culex modestus, EPIDEMIOLOGY - JUILLET 1998 - Probability Model on the Use of Sentinel Animal Monitoring for Arbovirus. Int. J. Environ. Res. Public Health 2012 Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases. Universidade Santa Úrsula - USU / ICBA - Laboratoire « Espace, Nature, Culture » (UMR 8185 CNRS - Université Paris 8, UFR TES –
Fièvre de la vallée du Rift, géolocalisation et modélisation. Modélisation, géolocalisation et culicoïdes. Zika et modélisation. Research Journal of Applied Sciences - 2017 - A Model for Public Health Management of the Vector Borne Disease in the District of Pesawaran, Indonesia: Dynamic Systems Approach.