↓ Skip to main content

Technology innovation for infectious diseases in the developing world

Overview of attention for article published in Infectious Diseases of Poverty, October 2012
Altmetric Badge

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
9 X users
facebook
1 Facebook page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
99 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Technology innovation for infectious diseases in the developing world
Published in
Infectious Diseases of Poverty, October 2012
DOI 10.1186/2049-9957-1-2
Pubmed ID
Authors

Anthony D So, Quentin Ruiz-Esparza

Abstract

Enabling innovation and access to health technologies remains a key strategy in combating infectious diseases in low- and middle-income countries (LMICs). However, a gulf between paying markets and the endemicity of such diseases has contributed to the dearth of R&D in meeting these public health needs. While the pharmaceutical industry views emerging economies as potential new markets, most of the world's poorest bottom billion now reside in middle-income countries--a fact that has complicated tiered access arrangements. However, product development partnerships--particularly those involving academic institutions and small firms--find commercial opportunities in pursuing even neglected diseases; and a growing pharmaceutical sector in BRICS countries offers hope for an indigenous base of innovation. Such innovation will be shaped by 1) access to building blocks of knowledge; 2) strategic use of intellectual property and innovative financing to meet public health goals; 3) collaborative norms of open innovation; and 4) alternative business models, some with a double bottom line. Facing such resource constraints, LMICs are poised to develop a new, more resource-effective model of innovation that holds exciting promise in meeting the needs of global health.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Guyana 1 1%
Brazil 1 1%
Unknown 95 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 24%
Student > Ph. D. Student 13 13%
Student > Bachelor 10 10%
Researcher 9 9%
Student > Doctoral Student 8 8%
Other 17 17%
Unknown 18 18%
Readers by discipline Count As %
Social Sciences 15 15%
Medicine and Dentistry 13 13%
Business, Management and Accounting 10 10%
Engineering 8 8%
Agricultural and Biological Sciences 6 6%
Other 28 28%
Unknown 19 19%