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Hemorrhagic Fever Viruses

Overview of attention for book
Cover of 'Hemorrhagic Fever Viruses'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Global Spread of Hemorrhagic Fever Viruses: Predicting Pandemics
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    Chapter 2 An Approach to the Identification and Phylogenetic Analysis of Emerging and Hemorrhagic Fever Viruses
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    Chapter 3 Preliminary Classification of Novel Hemorrhagic Fever-Causing Viruses Using Sequence-Based PAirwise Sequence Comparison (PASC) Analysis
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    Chapter 4 Epidemiological Surveillance of Viral Hemorrhagic Fevers With Emphasis on Clinical Virology
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    Chapter 5 Diagnostics for Lassa Fever: Detecting Host Antibody Responses
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    Chapter 6 Sampling Design and Mosquito Trapping for Surveillance of Arboviral Activity
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    Chapter 7 Epidemiological Surveillance of Rodent-Borne Viruses (Roboviruses)
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    Chapter 8 Entry Studies of New World Arenaviruses
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    Chapter 9 Studies of Lassa Virus Cell Entry
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    Chapter 10 A Cell-Cell Fusion Assay to Assess Arenavirus Envelope Glycoprotein Membrane-Fusion Activity
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    Chapter 11 Assays to Assess Arenaviral Glycoprotein Function
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    Chapter 12 Expression and X-Ray Structural Determination of the Nucleoprotein of Lassa Fever Virus
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    Chapter 13 Assays to Demonstrate the Roles of Arenaviral Nucleoproteins (NPs) in Viral RNA Synthesis and in Suppressing Type I Interferon
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    Chapter 14 Intracellular Detection of Viral Transcription and Replication Using RNA FISH
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    Chapter 15 Hemorrhagic Fever Virus Budding Studies
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    Chapter 16 Roles of Arenavirus Z Protein in Mediating Virion Budding, Viral Transcription-Inhibition and Interferon-Beta Suppression
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    Chapter 17 Structure–Function Assays for Crimean–Congo Hemorrhagic Fever Virus Polymerase
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    Chapter 18 Minigenome Systems for Filoviruses
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    Chapter 19 Establishment of Bisegmented and Trisegmented Reverse Genetics Systems to Generate Recombinant Pichindé Viruses
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    Chapter 20 Murine Models for Viral Hemorrhagic Fever
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    Chapter 21 Testing Experimental Therapies in a Guinea Pig Model for Hemorrhagic Fever
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    Chapter 22 A Primate Model for Viral Hemorrhagic Fever
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    Chapter 23 A Primary Human Liver Cell Culture Model for Hemorrhagic Fever Viruses
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    Chapter 24 Protocol for the Production of a Vaccine Against Argentinian Hemorrhagic Fever
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    Chapter 25 Detection of Virus-Antibody Immune Complexes in Secondary Dengue Virus Infection
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    Chapter 26 Future Approaches to DNA Vaccination Against Hemorrhagic Fever Viruses
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    Chapter 27 Identifying Restriction Factors for Hemorrhagic Fever Viruses: Dengue and Junín
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    Chapter 28 Determining the Virus Life-Cycle Stage Blocked by an Antiviral
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    Chapter 29 Retrovirus-Based Surrogate Systems for BSL-2 High-Throughput Screening of Antivirals Targeting BSL-3/4 Hemorrhagic Fever-Causing Viruses
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    Chapter 30 Protocols to Assess Coagulation Following In Vitro Infection with Hemorrhagic Fever Viruses
Attention for Chapter 6: Sampling Design and Mosquito Trapping for Surveillance of Arboviral Activity
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Chapter title
Sampling Design and Mosquito Trapping for Surveillance of Arboviral Activity
Chapter number 6
Book title
Hemorrhagic Fever Viruses
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-6981-4_6
Pubmed ID
Book ISBNs
978-1-4939-6980-7, 978-1-4939-6981-4
Authors

Luís E. Paternina, Juan David Rodas, Paternina, Luís E., Rodas, Juan David

Abstract

Mosquitoes are the most important vectors for arboviral human diseases across the world. Diseases such as Dengue Fever (DF), West Nile Virus (WNV), Yellow Fever (YF), Japanese Encephalitis (JE), Venezuelan Equine Encephalitis (VEE), and St. Louis Encephalitis (SLE), among others, have a deep impact in public health. Usually mosquitoes acquire the arboviral infection when they feed on viremic animals (birds or mammals), so their infection can be detected along the year or in short periods of time (seasons). All of this depends on the frequency and seasonality of the encounters between viremic animals and vectors.With the convergence of several phenomena like the increasing traveling of human populations, globalization of economy and more recently the global warming, the introduction of nonendemic arbovirus into new areas has become the current scenario. As examples of this new social and environmental frame we can mention the outbreak of West Nile Virus in North America in the late 1990s and more recently the outbreaks of chikungunya and Zika virus in the Americas. The present chapter deals with one of the first steps in the development of research studies and diagnosis programs, the surveillance of arboviruses in their vectors, the sampling design and mosquito trapping methods. The chapter also includes some important considerations and tips to be taken into account during the mosquito fieldwork.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Bachelor 8 14%
Other 6 11%
Student > Doctoral Student 5 9%
Student > Master 5 9%
Other 9 16%
Unknown 14 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 18%
Medicine and Dentistry 7 13%
Biochemistry, Genetics and Molecular Biology 6 11%
Veterinary Science and Veterinary Medicine 4 7%
Immunology and Microbiology 2 4%
Other 11 20%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 June 2018.
All research outputs
#14,083,124
of 23,005,189 outputs
Outputs from Methods in molecular biology
#3,963
of 13,159 outputs
Outputs of similar age
#232,604
of 442,254 outputs
Outputs of similar age from Methods in molecular biology
#395
of 1,498 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,159 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,254 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.