five

Linking mosquito ecology, traits, behavior and disease transmission

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Mendeley Data2020-02-19 更新2026-04-09 收录
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Supporting information and data used to produced Figure 3 of the manuscript of the same title, published in Trends in Parasitology. We analyzed the publication trends in mosquito research from 1900-2019. We used the Web of Science global citation database to obtain the list of publications between 1900 and 2019 that had reported effects of environmental factors (both abiotic and biotic) on life-history and behavior of mosquitoes. Our search included abiotic factors such as temperature, precipitation and humidity and biotic factors such as predation, larval nutrition and competition (both intra- and interspecific). The keywords ‘development time’, ‘mass’, ‘size’, ‘longevity’, ‘survival’, ‘egg’, ‘fecundity’, and ‘life history’ were used to identify literature on larval and adult mosquito traits. Similarly, the keywords ‘behavior’, ‘host seek’, ‘host preference’, ‘blood feed’, ‘oviposition’, and ‘activity’ were used to collate research articles on behavior of adult mosquitoes. Variants of every keyword (hyphenated versus non hyphenated, British versus American spelling differences, etc.,) were carefully taken into consideration to ensure the accuracy of search results. Every publication identified by the Web of Science search was scored based on the number of traits and behaviors reported. These publication-wise scores were then used to calculate the cumulative score for every mosquito trait and behavior listed above. These cumulative scores determine the width of each of the lines (connecting the independent and dependent variables) depicted in the connectome (see figure in the article). The list of publications we fetched in our search is available in two spreadsheets listed below. We analyzed the data and visualized the connectome using the circlize package in R software v3.4.2. Complete datasets and R code are contained in the 3 files enclosed: 1. Larval and adult traits: S3_Larval_adult_traits.csv 2. Adult behavior: S3_Adult_behavior.csv 3. R code: S3_Code.R
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2020-02-19
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