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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 1: Global Spread of Hemorrhagic Fever Viruses: Predicting Pandemics
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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13 X users
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2 Wikipedia pages

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Chapter title
Global Spread of Hemorrhagic Fever Viruses: Predicting Pandemics
Chapter number 1
Book title
Hemorrhagic Fever Viruses
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-6981-4_1
Pubmed ID
Book ISBNs
978-1-4939-6980-7, 978-1-4939-6981-4
Authors

Jean-Paul Gonzalez, Marc Souris, Willy Valdivia-Granda, Gonzalez, Jean-Paul, Souris, Marc, Valdivia-Granda, Willy

Abstract

As successive epidemics have swept the world, the scientific community has quickly learned from them about the emergence and transmission of communicable diseases. Epidemics usually occur when health systems are unprepared. During an unexpected epidemic, health authorities engage in damage control, fear drives action, and the desire to understand the threat is greatest. As humanity recovers, policy-makers seek scientific expertise to improve their "preparedness" to face future events.Global spread of disease is exemplified by the spread of yellow fever from Africa to the Americas, by the spread of dengue fever through transcontinental migration of mosquitos, by the relentless influenza virus pandemics, and, most recently, by the unexpected emergence of Ebola virus, spread by motorbike and long haul carriers. Other pathogens that are remarkable for their epidemic expansions include the arenavirus hemorrhagic fevers and hantavirus diseases carried by rodents over great geographic distances and the arthropod-borne viruses (West Nile, chikungunya and Zika) enabled by ecology and vector adaptations. Did we learn from the past epidemics? Are we prepared for the worst?The ultimate goal is to develop a resilient global health infrastructure. Besides acquiring treatments, vaccines, and other preventive medicine, bio-surveillance is critical to preventing disease emergence and to counteracting its spread. So far, only the western hemisphere has a large and established monitoring system; however, diseases continue to emerge sporadically, in particular in Southeast Asia and South America, illuminating the imperfections of our surveillance. Epidemics destabilize fragile governments, ravage the most vulnerable populations, and threaten the global community.Pandemic risk calculations employ new technologies like computerized maintenance of geographical and historical datasets, Geographic Information Systems (GIS), Next Generation sequencing, and Metagenomics to trace the molecular changes in pathogens during their emergence, and mathematical models to assess risk. Predictions help to pinpoint the hot spots of emergence, the populations at risk, and the pathogens under genetic evolution. Preparedness anticipates the risks, the needs of the population, the capacities of infrastructure, the sources of emergency funding, and finally, the international partnerships needed to manage a disaster before it occurs. At present, the world is in an intermediate phase of trying to reduce health disparities despite exponential population growth, political conflicts, migration, global trade, urbanization, and major environmental changes due to global warming. For the sake of humanity, we must focus on developing the necessary capacities for health surveillance, epidemic preparedness, and pandemic response.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 231 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 15%
Student > Master 34 15%
Student > Bachelor 28 12%
Student > Ph. D. Student 20 9%
Student > Postgraduate 10 4%
Other 39 17%
Unknown 65 28%
Readers by discipline Count As %
Medicine and Dentistry 36 16%
Biochemistry, Genetics and Molecular Biology 22 10%
Agricultural and Biological Sciences 17 7%
Nursing and Health Professions 15 6%
Social Sciences 12 5%
Other 55 24%
Unknown 74 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 31 March 2022.
All research outputs
#3,154,448
of 24,527,525 outputs
Outputs from Methods in molecular biology
#626
of 13,807 outputs
Outputs of similar age
#68,899
of 452,012 outputs
Outputs of similar age from Methods in molecular biology
#37
of 1,484 outputs
Altmetric has tracked 24,527,525 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,807 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% 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 452,012 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 1,484 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.