Epidermolysis Bullosa Epidemiology Forecast–2030 by DelveInsight

Epidermolysis Bullosa Epidemiology

Epidermolysis Bullosa Epidemiology

 

Epidermolysis Bullosa Epidemiology” report has been added to DelveInsight

Epidermolysis Bullosa Overview

Epidermolysis Bullosa (EB) is a group of skin diseases that cause various degrees of skin and mucous membrane fragility. The skin becomes fragile when proteins essential for skin integrity are absent, reduced, or abnormal. It is characterized by blister formation in response to mechanical trauma. To date, there is no treatment or cure for EB.

Epidermolysis Bullosa Epidemiology Forecast

“DelveInsight’s ‘Epidermolysis Bullosa (EB)-Epidemiology Forecast–2030’ report delivers an in-depth understanding of the EB, historical and forecasted epidemiology as well as the EB trends in the United States, EU5 (Germany, France, Italy, Spain, and the United Kingdom) and Japan.

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Regions covered

  • The United States
  • EU5 (Germany, France, Italy, Spain, and the United Kingdom)
  • Japan

Epidermolysis Bullosa Epidemiology Report

EB is generally caused by mutations involving at least 18 genes encoding structural proteins within keratin intermediate filaments, focal adhesions, desmosome cell junctions, and hemidesmosome attachment complexes, which form the intraepidermal adhesion and dermo-epidermal anchoring complex within the basement membrane zone (BMZ) of the skin and mucosae.

Epidermolysis Bullosa Epidemiology Insights

In all types of EB, the common factor is the tendency for skin and mucous membranes to blister or shear away in response to minimal everyday friction and trauma.

Key facts of Epidermolysis Bullosa report

  • Assessments as per DelveInsight’s analysts shows that the total prevalent population of Epidermolysis Bullosa in seven major markets was 41,509 in 2017.
  • The total diagnosed prevalent cases of Epidermolysis Bullosa in 7MM was 39,433 in 2017.
  • In 2017, there were 26,104 prevalent cases of Epidermolysis Bullosa in the United States.
  • In 2017, there were total 24,799 diagnosed prevalent cases of Epidermolysis Bullosa in the United States.
  • Japan had 1,998 prevalent cases of Epidermolysis Bullosa in 2017.

Epidermolysis Bullosa Epidemiology Segmentation

  • Total Prevalent Population
  • Total Diagnosed Prevalent Population
  • Type-specific Diagnosed Prevalence

Epidermolysis Bullosa Epidemiology Perspective

The disease epidemiology covered in the report provides historical as well as forecasted epidemiology segmented by Total Prevalent Cases of EB, Diagnosed Prevalent Patient Population of EB, and Type-specific Diagnosed Prevalent Population of EB scenario of EB in the 7MM covering the United States, EU5 countries (Germany, France, Italy, Spain, and the United Kingdom), and Japan from 2017 to 2030.

Epidermolysis Bullosa Report Highlights

  • 11-Year Forecast of EB
  • 7MM Coverage
  • Total Prevalent Cases of EB
  • Diagnosed Prevalent Patient Population of EB
  • Type-specific Diagnosed Prevalent Population of EB

Request free sample copy- https://www.delveinsight.com/sample-request/epidermolysis-bullosa-eb-epidemiology-forecast

Table of content

  1. Key Insights
  2. Executive Summary of Epidermolysis Bullosa (EB)
  3. Epidermolysis Bullosa (EB) Epidemiology Overview at a Glance
  4. Epidermolysis Bullosa (EB): Disease Background and Overview
  5. Epidemiology and Patient Population
  6. Appendix
  7. DelveInsight Capabilities
  8. Disclaimer
  9. About DelveInsight

Epidermolysis Bullosa Key Assessment

  • Patient Segmentation
  • Disease Risk and Burden
  • Risk of disease by the segmentation
  • Factors driving growth in a specific patient population

Why should you buy this report?

  • Develop business strategies by understanding the trends shaping and driving the 7MM EB epidemiology forecast.
  • The EB epidemiology report and model were written and developed by Masters and Ph.D. level epidemiologists.
  • The EB epidemiology model developed by DelveInsight is easy to navigate, interactive with dashboards, and epidemiology based on transparent and consistent methodologies. Moreover, the model supports data presented in the report and showcases disease trends over the eleven-year forecast period using reputable sources.

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