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14 results for “mosquito surveillance”
Figure 2 in Culex quinquefasciatus predominance during integrated mosquito surveillance in an urban area of the Brazilian Amazon
Figure 2. Nasci Aspirator (A) and a plastic pot (B) with a screen (C) adapted for electric vacuuming. Open pot (D) and pot with a lid (E) in the nozzle of the aspirator.
Figure 1 in Culex quinquefasciatus predominance during integrated mosquito surveillance in an urban area of the Brazilian Amazon
Figure 1. Map of the study area, Porto Velho city in Rondônia State, Brazil, demonstrating the location of each residence of collect (represented by a black circle).
Figure 2 in Mosquito Surveillance Program Using Ovitraps Detected Aedes aegypti at the Honolulu International Airport in 2012
Figure 2. Mean number of eggs collected monthly using ovitraps from Honolulu International Airport from May 2010 to June 2012. Monthly values are the averages of collections for all weeks in the month, by collection site.
Figure 1 in Mosquito Surveillance Program Using Ovitraps Detected Aedes aegypti at the Honolulu International Airport in 2012
Figure 1. Map of the Hawaiian Islands. Markers of "X" represent each of this study's Aedes aegypti collection sites on Oahu and Hawaii islands.
Figure 4 in Mosquito Surveillance Program Using Ovitraps Detected Aedes aegypti at the Honolulu International Airport in 2012
Figure 4. Mean number of eggs collected per week using ovitraps and mean rainfall per week at Honolulu International Airport from May 2010 to June 2012. * shows the weeks (87 and 110) in which A. aegypti was collected.
Figure 5. Neighbor-joining tree for A in Mosquito Surveillance Program Using Ovitraps Detected Aedes aegypti at the Honolulu International Airport in 2012
Figure 5. Neighbor-joining tree for A. aegypti based on COI (450bp) and ND4 (322bp) sequences. Labels are Genbank accession numbers combined with country names.
Figure 3 in Mosquito Surveillance Program Using Ovitraps Detected Aedes aegypti at the Honolulu International Airport in 2012
Figure 3. Frequency distribution of egg collections for each ovitrap site at Honolulu International Airport
Drone use in mosquito surveillance
<p>Datasets used for the analysis of willingness to participate in drone surveillance and to use drone surveillance app.</p>
Combating Dengue With Innovative, Paradigm-shift-Strategies: Early Dengue Surveillance in Adult Aedes Mosquitoes
ClinicalTrials.gov study NCT03799237. IPD Sharing: NO. Countries: 1. Publications: 8.
Do it yourself: 3D-printed miniature CDC trap for adult mosquito (Diptera: Culicidae) surveillance
<p>The central component of mosquito and vector surveillance programs globally is the adult mosquito trap, which is intended to collect host-seeking mosquitoes. The miniature CDC trap is a widely distributed trap style in part due to its relative affordability and compact nature. Despite already being a simple trap, in-house production methods, such as 3D printing, could improve the accessibility of the CDC trap by eliminating some of the supply chain variables. We present here several trials with the Salt Lake City (SLC) trap, a three-dimensional (3D) printed trap design. Functional assessments were made on secondary components and found no statistically significant differences when comparing CO<sub>2</sub> line height (above vs. below fan), battery types (sealed lead acid vs. USB battery pack), and trap body collection shape (funnel body vs. simple/straight body). The SLC trap was compared directly to a commercial equivalent, the ABC trap, with comparative assessment on species diversity and evenness in collections and found to be statistically equivalent on all metrics. Methods also detail an accompanying optional transport system for a pressurized CO<sub>2</sub>/regulator set-up, should a practitioner elect not to use dry ice. Our final design is presented here with the publicly published stereolithography (STL) files and a detailed outline of the transport container system. Alternative models are available for in-house manufacture of mosquito traps, and we contribute these designs in an effort to stimulate further growth in vector surveillance.</p>
E4Warning Mosquito Surveillance Data
<p>Mosquito surveillance data, obtained through various trapping methods, are compiled and shared in Excel (.xlsx) files. The E4Warning dataset template aims to assist field researchers in their data archiving efforts by aligning with the project's Data Management Plan. It consists of two main components: metadata and data.</p> <ol> <li> <p>The <strong>metadata component</strong> includes information about the origin of the dataset, such as study details and licensing for usage. This ensures that all necessary contextual information is accessible. Our metadata component utilizes the template generated by MIReAD (Minimum Information for Reusable Analytical Data) to ensure high standards of data documentation and reusability of arthropod abundance data by establishing a set of guidelines for data reporting. By adopting the MIReAD template for our metadata, we align our data management practices with best practices for data standardization and transparency</p> </li> <li> <p>The <strong>data component </strong>lists and describes the specific data fields that should be included in data collection sheets. This is tailored to capture the essential variables typically collected by academic researchers and surveillance initiatives. The template serves as a comprehensive checklist to help prevent the omission of crucial information.</p> </li> </ol> <p><span>T</span>he mosquito surveillance data template utilized by E4Warning partners is a designed document for recording data from mosquito trapping activities, which is subsequently used for modeling. Each field within the template is structured to ensure a comprehensive understanding of the surveillance efforts and the possible biases introduced by the trapping devices and attractants used.</p> <div><br> <div> <p><a title="" href="#_ftnref1" name="_ftn1"><span>[1]</span></a> Rund et al. 2019. MIReAD, a minimum information standard for reporting arthropod abundance data. Scientific Data. 6: 40.</p> </div> </div>
Do it yourself: 3D-printed miniature CDC trap for adult mosquito (Diptera: Culicidae) surveillance
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Figure 3 in Culex quinquefasciatus predominance during integrated mosquito surveillance in an urban area of the Brazilian Amazon
Figure 3. Number of mosquitoes by species using two sampling techniques (A) collected indoors and outdoors (B) in nine neighborhoods from the city of Porto Velho, Rondônia, Brazilian Amazon.
Data from: Using mobile phones as acoustic sensors for high-throughput mosquito surveillance
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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