Skeeter Buster: A Stochastic, Spatially Explicit Modeling Tool for Studying Aedes aegypti Population Replacement and Population Suppression Strategies
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{"title"=>"Skeeter Buster: A stochastic, spatially explicit modeling tool for studying Aedes aegypti population replacement and population suppression strategies", "type"=>"journal", "authors"=>[{"first_name"=>"Krisztian", "last_name"=>"Magori", "scopus_author_id"=>"13106023200"}, {"first_name"=>"Mathieu", "last_name"=>"Legros", "scopus_author_id"=>"24479280100"}, {"first_name"=>"Molly E.", "last_name"=>"Puente", "scopus_author_id"=>"24067367800"}, {"first_name"=>"Dana A.", "last_name"=>"Focks", "scopus_author_id"=>"7003928340"}, {"first_name"=>"Thomas W.", "last_name"=>"Scott", "scopus_author_id"=>"7402144111"}, {"first_name"=>"Alun L.", "last_name"=>"Lloyd", "scopus_author_id"=>"35555137200"}, {"first_name"=>"Fred", "last_name"=>"Gould", "scopus_author_id"=>"7101644663"}], "year"=>2009, "source"=>"PLoS Neglected Tropical Diseases", "identifiers"=>{"issn"=>"1935-2735", "scopus"=>"2-s2.0-70449467025", "sgr"=>"70449467025", "pui"=>"355629320", "isbn"=>"0002-9637 (Print)\\n0002-9637 (Linking)", "pmid"=>"19721700", "doi"=>"10.1371/journal.pntd.0000508"}, "id"=>"3485136e-3709-3675-a8c6-c88fb33a37e3", "abstract"=>"BACKGROUND: Dengue is the most important mosquito-borne viral disease affecting humans. The only prevention measure currently available is the control of its vectors, primarily Aedes aegypti. Recent advances in genetic engineering have opened the possibility for a new range of control strategies based on genetically modified mosquitoes. Assessing the potential efficacy of genetic (and conventional) strategies requires the availability of modeling tools that accurately describe the dynamics and genetics of Ae. aegypti populations.\\n\\nMETHODOLOGY/PRINCIPAL FINDINGS: We describe in this paper a new modeling tool of Ae. aegypti population dynamics and genetics named Skeeter Buster. This model operates at the scale of individual water-filled containers for immature stages and individual properties (houses) for adults. The biology of cohorts of mosquitoes is modeled based on the algorithms used in the non-spatial Container Inhabiting Mosquitoes Simulation Model (CIMSiM). Additional features incorporated into Skeeter Buster include stochasticity, spatial structure and detailed population genetics. We observe that the stochastic modeling of individual containers in Skeeter Buster is associated with a strongly reduced temporal variation in stage-specific population densities. We show that heterogeneity in container composition of individual properties has a major impact on spatial heterogeneity in population density between properties. We detail how adult dispersal reduces this spatial heterogeneity. Finally, we present the predicted genetic structure of the population by calculating F(ST) values and isolation by distance patterns, and examine the effects of adult dispersal and container movement between properties.\\n\\nCONCLUSIONS/SIGNIFICANCE: We demonstrate that the incorporated stochasticity and level of spatial detail have major impacts on the simulated population dynamics, which could potentially impact predictions in terms of control measures. The capacity to describe population genetics confers the ability to model the outcome of genetic control methods. Skeeter Buster is therefore an important tool to model Ae. aegypti populations and the outcome of vector control measures.", "link"=>"http://www.mendeley.com/research/skeeter-buster-stochastic-spatially-explicit-modeling-tool-studying-aedes-aegypti-population-replace", "reader_count"=>101, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>7, "Student > Doctoral Student"=>4, "Researcher"=>43, "Student > Ph. D. Student"=>24, "Student > Postgraduate"=>2, "Other"=>5, "Student > Master"=>8, "Student > Bachelor"=>4, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>7, "Student > Doctoral Student"=>4, "Researcher"=>43, "Student > Ph. D. Student"=>24, "Student > Postgraduate"=>2, "Other"=>5, "Student > Master"=>8, "Student > Bachelor"=>4, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Agricultural and Biological Sciences"=>47, "Veterinary Science and Veterinary Medicine"=>1, "Computer Science"=>3, "Earth and Planetary Sciences"=>1, "Economics, Econometrics and Finance"=>1, "Engineering"=>4, "Environmental Science"=>7, "Biochemistry, Genetics and Molecular Biology"=>7, "Mathematics"=>10, "Medicine and Dentistry"=>8, "Design"=>1, "Physics and Astronomy"=>1, "Social Sciences"=>5, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>8}, "Social Sciences"=>{"Social Sciences"=>5}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Mathematics"=>{"Mathematics"=>10}, "Unspecified"=>{"Unspecified"=>4}, "Environmental Science"=>{"Environmental Science"=>7}, "Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>4}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>47}, "Computer Science"=>{"Computer Science"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>7}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"United States"=>6, "Brazil"=>2, "United Kingdom"=>1, "Madagascar"=>1, "French Polynesia"=>1}, "group_count"=>14}

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  • {"files"=>["https://ndownloader.figshare.com/files/885934"], "description"=>"<p>Spatial representation of the pupal composition of the population after a 1-year simulation using 100 properties each containing 3 containers (one of each type described in the text). Each square represents an individual property. The grayscale represents the number of pupae found at this property on day 365. Properties with no pupae are colored in white, whereas the presence of pupae is denoted in gray, with darker shades representing higher numbers of pupae.</p>", "links"=>[], "tags"=>["simulated", "skeeter"], "article_id"=>556387, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g008", "stats"=>{"downloads"=>3, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Spatial_representation_of_the_population_simulated_by_Skeeter_Buster_/556387", "title"=>"Spatial representation of the population simulated by Skeeter Buster.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:46:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/886189"], "description"=>"<p>Effects of habitat heterogeneity and adult dispersal on the spatial coefficient of variation of the number of pupae among properties (CV<sub>p</sub>). Two container distributions are considered (see text for details): homogeneous (blue line and boxes), or heterogeneous (red line and boxes). Three adult dispersal patterns are considered: (i) no dispersal; (ii) short range dispersal (SRD) only, and (iii) both short range dispersal and long range dispersal (LRD). For both (ii) and (iii), short range dispersal occurs with daily probability of 0.3 per adult per day. For (iii), long range dispersal occurs with daily probability of 0.02 per adult per day. For each combination (container distribution×dispersal pattern), 50 simulations are run. For each simulation, the plotted value of CV<sub>p</sub> is calculated as the average of the daily CV<sub>p</sub> value for the last 100 days of the simulation. The result from each simulation is represented by a ‘x’ symbol. Boxes show, for each combination, the 25% and 75% quantiles. The middle line in the box represents the median and the whiskers encompass the data points that fall within 1.5 interquartile range in each direction. The lines between boxes connect the means. Within each container setup, pairwise mean comparisons are tested by Student's t-test (NS: p>0.05 ; ****: p<0.0001).</p>", "links"=>[], "tags"=>["heterogeneity", "dispersal"], "article_id"=>556644, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g010", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effects_of_habitat_heterogeneity_and_adult_dispersal_on_density_heterogeneity_between_properties_/556644", "title"=>"Effects of habitat heterogeneity and adult dispersal on density heterogeneity between properties.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:50:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/886030"], "description"=>"<p>Time series of the total number of female adults in the population from three different Skeeter Buster simulations. All three setups use 100 containers of each type (see text for description). Non-spatial (gray line) is a single property containing all 300 containers. Homogeneous distribution (blue line) means 100 properties each containing exactly 3 containers (one of each type). Heterogeneous distribution (red line) means 100 properties with the 300 containers randomly distributed amongst them. In all cases, the model is initialized with egg cohorts only. The results presented are for year 2 of the simulation. Respective mean number of females +/−SD are: homogeneous: 413.8+/−46.5 ; heterogeneous: 401.9+/−47.3 ; 425.4+/−57.4.</p>", "links"=>[], "tags"=>["heterogeneity"], "article_id"=>556486, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g009", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effects_of_habitat_heterogeneity_on_female_adult_densities_/556486", "title"=>"Effects of habitat heterogeneity on female adult densities.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:48:06"}
  • {"files"=>["https://ndownloader.figshare.com/files/885455"], "description"=>"<p>Flow diagram depicting the algorithm that determines the daily survival probability of <i>Ae. aegypti</i> larvae that are currently experiencing or recovering from starvation. PLR = Prefasting Lipid Reserve.</p>", "links"=>[], "tags"=>["larval", "probability"], "article_id"=>555910, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Algorithm_for_larval_survival_probability_calculations_/555910", "title"=>"Algorithm for larval survival probability calculations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:38:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/885584"], "description"=>"<p>(A) Dispersal of a single female adult cohort released in a single property at day 0. Only short range dispersal is allowed (daily rate = 0.3), and survival is set at the default value (daily rate = 0.89). Solid lines represent the average number of females (20 replicated simulations) found at a given distance from the release house after 1 (circles), 2 (squares), 4 (diamonds) or 6 (triangles) days, dashed lines are 95% CIs. (B) Virtual mark-release-recapture (MRR) experiment based on this single cohort. We replicate the protocol and recapture rate described in Harrington <i>et al.</i> (2005) (Table 2, line 1) for outdoor releases in Thailand, with daily recaptures for 12 consecutive days. Dark bars are the results from the virtual MRR in Skeeter Buster (+/−SD), light bars are the results observed by Harrington <i>et al.</i> (2005).</p>", "links"=>[], "tags"=>["cohort", "skeeter", "mark-recapture"], "article_id"=>556039, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g005", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Dispersal_of_a_single_female_adult_cohort_in_Skeeter_Buster_and_virtual_mark_recapture_experiment_/556039", "title"=>"Dispersal of a single female adult cohort in Skeeter Buster, and virtual mark-recapture experiment.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:40:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/885235"], "description"=>"<p>Process flow diagram representing the algorithm that is followed each day to determine the hatch probability of <i>Ae. aegypti</i> eggs in a cohort.</p>", "links"=>[], "tags"=>["hatch"], "article_id"=>555691, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Algorithm_for_the_determination_of_egg_hatch_probabilities_/555691", "title"=>"Algorithm for the determination of egg hatch probabilities.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:34:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/886297"], "description"=>"<p>Final F<sub>ST</sub> values after a 5-year simulation of a 20×20 grid of properties subdivided in 4×4 squares. Calculation is based on one neutral marker, and two alleles introduced at equal frequency at every property in the population. Solid diamonds: homogeneous container distribution; Open circles: heterogeneous container distribution (mean+/−SD). LRD = long range dispersal. 20 simulations are run for each container distribution×dispersal assumption combination.</p>", "links"=>[], "tags"=>["dispersal"], "article_id"=>556749, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g011", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effects_of_adult_dispersal_on_the_genetic_structure_of_the_population_/556749", "title"=>"Effects of adult dispersal on the genetic structure of the population.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:52:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/886523"], "description"=>"<p>CV<sub>p</sub> = coefficient of variation in the number of pupae among individual properties. Habitat heterogeneity can be homogeneous or heterogeneous. Types of dispersal can be: no dispersal, short range dispersal only, or both short and long range dispersal. df = degrees of freedom, F = F-statistic.</p>", "links"=>[], "tags"=>["variance", "heterogeneity", "dispersal"], "article_id"=>556977, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.t001", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Analysis_of_variance_in_CV_p_values_testing_for_the_effects_of_habitat_heterogeneity_dispersal_pattern_/556977", "title"=>"Analysis of variance in CV<sub>p</sub> values testing for the effects of habitat heterogeneity dispersal pattern.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2009-09-01 01:56:17"}
  • {"files"=>["https://ndownloader.figshare.com/files/885730"], "description"=>"<p>Number of larvae generated by the original CIMSiM (squares) and the version of C++ CIMSiM (+signs) that incorporates the small errors and malfunctions detected in the original CIMSiM, showing perfect match. Weather data were collected in Iquitos, Peru during 1978. Containers used were 1 gallon buckets <a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000508#pntd.0000508-Focks1\" target=\"_blank\">[6]</a>, and both models simulated an unstructured 1-ha area. All parameters were set as in <a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000508#pntd.0000508-Focks1\" target=\"_blank\">[6]</a>.</p>", "links"=>[], "tags"=>["cimsim", "clone"], "article_id"=>556182, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g006", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_C_CIMSiM_as_a_clone_of_the_original_CIMSiM_/556182", "title"=>"C++ CIMSiM as a clone of the original CIMSiM.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:43:02"}
  • {"files"=>["https://ndownloader.figshare.com/files/885829"], "description"=>"<p>Stage-specific time series from C++ CIMSiM (light gray line) and Skeeter Buster (black line). Containers are 1-gallon buckets, each simulation is set up with 100 containers in a single location. Weather data used were collected in Iquitos, Peru, 1978. A: Eggs; B: larvae; C: pupae; D: female adults.</p>", "links"=>[], "tags"=>["comparisons", "cimsim", "skeeter"], "article_id"=>556279, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g007", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Time_series_comparisons_between_C_CIMSiM_and_Skeeter_Buster_/556279", "title"=>"Time series comparisons between C++ CIMSiM and Skeeter Buster.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:44:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/886368"], "description"=>"<p>Slope of the linear regression of F<sub>ST</sub>/(1−F<sub>ST</sub>) against the geographic distance between pair of subpopulations at the end of the simulation (see <a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000508#pntd-0000508-g010\" target=\"_blank\">Fig. 10</a> for a description of the simulations), as a function of the daily probability of long range dispersal. Solid diamonds: homogeneous container distribution ; Open circles: heterogeneous container distribution.</p>", "links"=>[], "tags"=>["dispersal"], "article_id"=>556824, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g012", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effects_of_adult_dispersal_on_the_existence_of_isolation_by_distance_in_the_population_/556824", "title"=>"Effects of adult dispersal on the existence of isolation by distance in the population.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:53:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/885160"], "description"=>"<p>C1, C2 and C3 are representative containers of three different types. E: eggs – L: larvae – P: pupae. Solid arrows represent transition of cohorts between life stages. Dashed arrows represent oviposition. Grayscale items represent model parts that are identical in CIMSiM and Skeeter Buster. Colored items are specific to Skeeter Buster. Multiple properties are modeled in Skeeter Buster. Only 4 properties are represented in this schematic figure, but the number of simulated properties can be (and typically is) much higher. Orange boxes and lines represent male adults and their biology. Red arrows represent mating, which is restricted to individuals present at the same property. Dash-dotted orange and blue lines represent male and female dispersal, respectively. Although dispersal may occur between all neighboring properties, to improve clarity it is only depicted between properties 1 and 3 for males, and between properties 2 and 4 for females. Dash-dotted green line represents container displacement. Although displacement may occur for all containers and towards any property, for clarity it is depicted only once.</p>", "links"=>[], "tags"=>["cimsim", "skeeter"], "article_id"=>555611, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g001", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Schematic_representation_of_the_general_structure_of_CIMSiM_and_Skeeter_Buster_/555611", "title"=>"Schematic representation of the general structure of CIMSiM and Skeeter Buster.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:33:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/886464"], "description"=>"<p>Final F<sub>ST</sub> values after a 5-year run (see <a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000508#pntd-0000508-g010\" target=\"_blank\">Fig. 10</a> for a description of the simulation). Symbols are the average value across 10 repetitions, error bars are SD. Container movement probability is the daily probability for each container of being moved to another property. Because container movement would rapidly lead an initially homogeneous container distribution to become heterogeneous, here we only present simulations that employ the heterogeneous container distribution.</p>", "links"=>[], "tags"=>["probability"], "article_id"=>556924, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g013", "stats"=>{"downloads"=>1, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effects_of_container_movement_probability_on_the_genetic_structure_of_the_population_/556924", "title"=>"Effects of container movement probability on the genetic structure of the population.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:55:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/438734", "https://ndownloader.figshare.com/files/438763", "https://ndownloader.figshare.com/files/438797", "https://ndownloader.figshare.com/files/438825", "https://ndownloader.figshare.com/files/438848", "https://ndownloader.figshare.com/files/438864", "https://ndownloader.figshare.com/files/438883", "https://ndownloader.figshare.com/files/438915", "https://ndownloader.figshare.com/files/438981", "https://ndownloader.figshare.com/files/439100", "https://ndownloader.figshare.com/files/439139"], "description"=>"<div><h3>Background</h3><p>Dengue is the most important mosquito-borne viral disease affecting humans. The only prevention measure currently available is the control of its vectors, primarily <em>Aedes aegypti</em>. Recent advances in genetic engineering have opened the possibility for a new range of control strategies based on genetically modified mosquitoes. Assessing the potential efficacy of genetic (and conventional) strategies requires the availability of modeling tools that accurately describe the dynamics and genetics of <em>Ae. aegypti</em> populations.</p><h3>Methodology/Principal findings</h3><p>We describe in this paper a new modeling tool of <em>Ae. aegypti</em> population dynamics and genetics named Skeeter Buster. This model operates at the scale of individual water-filled containers for immature stages and individual properties (houses) for adults. The biology of cohorts of mosquitoes is modeled based on the algorithms used in the non-spatial Container Inhabiting Mosquitoes Simulation Model (CIMSiM). Additional features incorporated into Skeeter Buster include stochasticity, spatial structure and detailed population genetics. We observe that the stochastic modeling of individual containers in Skeeter Buster is associated with a strongly reduced temporal variation in stage-specific population densities. We show that heterogeneity in container composition of individual properties has a major impact on spatial heterogeneity in population density between properties. We detail how adult dispersal reduces this spatial heterogeneity. Finally, we present the predicted genetic structure of the population by calculating F<sub>ST</sub> values and isolation by distance patterns, and examine the effects of adult dispersal and container movement between properties.</p><h3>Conclusions/Significance</h3><p>We demonstrate that the incorporated stochasticity and level of spatial detail have major impacts on the simulated population dynamics, which could potentially impact predictions in terms of control measures. The capacity to describe population genetics confers the ability to model the outcome of genetic control methods. Skeeter Buster is therefore an important tool to model <em>Ae. aegypti</em> populations and the outcome of vector control measures.</p></div>", "links"=>[], "tags"=>["skeeter", "spatially", "modeling", "studying", "suppression", "strategies"], "article_id"=>146526, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>["https://dx.doi.org/10.1371/journal.pntd.0000508.s001", "https://dx.doi.org/10.1371/journal.pntd.0000508.s002", "https://dx.doi.org/10.1371/journal.pntd.0000508.s003", "https://dx.doi.org/10.1371/journal.pntd.0000508.s004", "https://dx.doi.org/10.1371/journal.pntd.0000508.s005", "https://dx.doi.org/10.1371/journal.pntd.0000508.s006", "https://dx.doi.org/10.1371/journal.pntd.0000508.s007", "https://dx.doi.org/10.1371/journal.pntd.0000508.s008", "https://dx.doi.org/10.1371/journal.pntd.0000508.s009", "https://dx.doi.org/10.1371/journal.pntd.0000508.s010", "https://dx.doi.org/10.1371/journal.pntd.0000508.s011"], "stats"=>{"downloads"=>28, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Skeeter_Buster_A_Stochastic_Spatially_Explicit_Modeling_Tool_for_Studying_Aedes_aegypti_Population_Replacement_and_Population_Suppression_Strategies/146526", "title"=>"Skeeter Buster: A Stochastic, Spatially Explicit Modeling Tool for Studying <em>Aedes aegypti</em> Population Replacement and Population Suppression Strategies", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2009-09-01 01:48:46"}
  • {"files"=>["https://ndownloader.figshare.com/files/885326"], "description"=>"<p>The development of a single mature egg cohort (with <i>N<sub>eggs</sub></i> eggs) is tracked in a single container (10 replicated simulations). A: mortality from egg to pupa, expressed as a <i>k</i>-value: if <i>N</i><sub>pup</sub> is the final number of surviving pupae, <i>k</i> = −log(<i>N</i><sub>pup</sub>/<i>N</i><sub>eggs</sub>). ‘+’ symbols represent the outcomes of individual simulations. Solid line is the fit of the model <i>N</i><sub>pup</sub> = λ. <i>N</i><sub>eggs</sub>.exp(−α<i>N</i><sub>eggs</sub><sup>β</sup>) <a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000508#pntd.0000508-Dye1\" target=\"_blank\">[26]</a>. Dashed line represents the point at which the slope of the curve is exactly one (<i>N</i><sub>eggs</sub>* = 253), marking the transition from undercompensatory (slope<1) to overcompensatory (slope>1) density-dependence (see text). B: average dry weight (in mg) of the surviving pupae.</p>", "links"=>[], "tags"=>["skeeter"], "article_id"=>555781, "categories"=>["Ecology", "Medicine", "Genetics"], "users"=>["Krisztian Magori", "Mathieu Legros", "Molly E. Puente", "Dana A. Focks", "Thomas W. Scott", "Alun L. Lloyd", "Fred Gould"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000508.g003", "stats"=>{"downloads"=>2, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Density_dependence_within_a_typical_container_1_gallon_bucket_in_Skeeter_Buster_/555781", "title"=>"Density-dependence within a typical container (1-gallon bucket) in Skeeter Buster.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-01 01:36:21"}

PMC Usage Stats | Further Information

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Relative Metric

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