Supporting data for: Identifying market risk for substandard and falsified medicines: an analytic framework based on qualitative research in China, Indonesia, Turkey and Romania
Pisani, E
; Nistor, A; Hasnida, A; Parmaksiz, K; Xu, J and Kok, MO
(2019).
Supporting data for: Identifying market risk for substandard and falsified medicines: an analytic framework based on qualitative research in China, Indonesia, Turkey and Romania.
[Dataset].
Harvard Dataverse.
https://doi.org/10.7910/DVN/0GGI9D
; Nistor, A; Hasnida, A; Parmaksiz, K; Xu, J and Kok, MO
(2019).
Supporting data for: Identifying market risk for substandard and falsified medicines: an analytic framework based on qualitative research in China, Indonesia, Turkey and Romania.
[Dataset].
Harvard Dataverse.
https://doi.org/10.7910/DVN/0GGI9D
This dataset contains supporting data for a study of the political and economic drivers of substandard and falsified medicines in middle income countries, led by Elizabeth Pisani. The full title of the paper is: Identifying market risk for substandard and falsified medicines: an analytic framework based on qualitative research in China, Indonesia, Turkey and Romania. (2019-04-08)
Keywords
Medicine quality; Universal Health Coverage; Health systems; Pharmaceutical market; Substandard medicine; Falsified medicine; Counterfeit medicine; Political economy; China; Indonesia; Turkey; Romania| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Qualitative |
| Capture method | Interview |
| Collection Period |
From To 2018 2018 |
| Date | 8 May 2019 |
| Language(s) of written materials | English |
| Creator(s) |
Pisani, E; Nistor, A; Hasnida, A; Parmaksiz, K; Xu, J and Kok, MO
|
| LSHTM Faculty/Department | Faculty of Public Health and Policy > Dept of Global Health and Development |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom; Erasmus University Rotterdam; King's College London, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI |
| Date Deposited | 27 Nov 2019 14:58 |
| Last Modified | 12 Feb 2026 11:46 |
| Publisher | Harvard Dataverse |
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