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Record W2136015812 · doi:10.1186/1744-8603-7-9

Indian vaccine innovation: the case of Shantha Biotechnics

2011· article· en· W2136015812 on OpenAlex
Justin Chakma, Hassan Masum, Kumar Perampaladas, Jennifer Heys, Peter Singer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobalization and Health · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsCentre for Global Health ResearchUniversity of TorontoUniversity Health Network
FundersBill and Melinda Gates Foundation
KeywordsMultinational corporationVaccinationGlobalizationHealth carePublic healthHepatitis BValuation (finance)Health services researchHepatitis B vaccineMedicineBusinessEconomic growthEconomicsVirologyFinanceHepatitis B virus

Abstract

fetched live from OpenAlex

BACKGROUND: Although the World Health Organization had recommended that every child be vaccinated for Hepatitis B by the early 1980s, large multinational pharmaceutical companies held monopolies on the recombinant Hepatitis B vaccine. At a price as high as USD$23 a dose, most Indians families could not afford vaccination. Shantha Biotechnics, a pioneering Indian biotechnology company founded in 1993, saw an unmet need domestically, and developed novel processes for manufacturing Hepatitis B vaccine to reduce prices to less than $1/dose. Further expansion enabled low-cost mass vaccination globally through organizations such as UNICEF. In 2009, Shantha sold over 120 million doses of vaccines. The company was recently acquired by Sanofi-Aventis at a valuation of USD$784 million. METHODS: The case study and grounded research method was used to illustrate how the globalization of healthcare R&D is enabling private sector companies such as Shantha to address access to essential medicines. Sources including interviews, literature analysis, and on-site observations were combined to conduct a robust examination of Shantha's evolution as a major provider of vaccines for global health indications. RESULTS: Shantha's ability to become a significant global vaccine manufacturer and achieve international valuation and market success appears to have been made possible by focusing first on the local health needs of India. How Shantha achieved this balance can be understood in terms of a framework of four guiding principles. First, Shantha identified a therapeutic area (Hepatitis B) in which cost efficiencies could be achieved for reaching the poor. Second, Shantha persistently sought investments and partnerships from non-traditional and international sources including the Foreign Ministry of Oman and Pfizer. Third, Shantha focused on innovation and quality - investing in innovation from the outset yielded the crucial process innovation that allowed Shantha to make an affordable vaccine. Fourth, Shantha constructed its own cGMP facility, which established credibility for vaccine prequalification by the World Health Organization and generated interest from large pharmaceutical companies in its contract research services. These two sources of revenue allowed Shantha to continue to invest in health innovation relevant to the developing world. CONCLUSIONS: The Shantha case study underscores the important role the private sector can play in global health and access to medicines. Home-grown companies in the developing world are becoming a source of low-cost, locally relevant healthcare R&D for therapeutics such as vaccines. Such companies may be compelled by market forces to focus on products relevant to diseases endemic in their country. Sanofi-Aventis' acquisition of Shantha reveals that even large pharmaceutical companies based in the developed world have recognized the importance of meeting the health needs of the developing world. Collectively, these processes suggest an ability to tap into private sector investments for global health innovation, and illustrate the globalization of healthcare R&D to the developing world.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.894
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.281
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it