feat(data): Add 6 more snowballing sources
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1. Adair, L., Bisgrove, E., Gultiano, S., & Guilkey, D. (2002). Effect of childbearing on Filipino women's work hours and earnings. Journal of Population Economics, 15 (4), 625-645. https://doi.org/10.1007/s001480100101.
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https://doi.org/10.1007/s001480100101
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2. Adda, J., Dustmann, C., & Stevens, K. (2017). The career costs of children. Journal of Political Economy, 125(2), 293-337. https://doi.org/10.1086/690952.
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https://doi.org/10.1086/690952
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3. Agüero, J. M., & Marks, M. S. (2008). Motherhood and Female Labor Force Participation: Evidence from Infertility Shocks. American Economic Review, 98 (2), 500-504. https://doi.org/10.1257/aer.98.2.500.
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https://doi.org/10.1257/aer.98.2.500
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4. Agüero, J. M., & Marks, M. S. (2011). Motherhood and female labor supply in the developing world: Evidence from infertility shocks. The Journal of Human Resources, 46(4), 800-826. https://doi.org/10.3368/jhr.46.4.800.
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https://doi.org/10.3368/jhr.46.4.800
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5. Ahn, N., & Mira, P. (2002). A note on the changing relationship between fertility and female employment rates in developed countries. Journal of Population Economics, 15(4), 667-682. https://doi.org/10.1007/s001480100078.
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https://doi.org/10.1007/s001480100078
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6. Akerlof, G. A., & Kranton, R. E. (2000). Economics and Identity*. Quarterly Journal of Economics, 115(3), 715-753. https://doi.org/10.1162/003355300554881.
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https://doi.org/10.1162/003355300554881
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7. Albrecht, J. W., Edin, P.-A., Sundström, M., & Vroman, S. B. (1999). Career interruptions and subsequent earnings: A reexamination using swedish data. The Journal of Human Resources, 34(2), 294-311. https://doi.org/10.2307/146347.
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8. Alderman, H., Chiappori, P.-A., Haddad, L., Hoddinott, J., & Kanbur, R. (1995). Unitary versus collective models of the household: is it time to shift the burden of proof? World Bank Research Observer, 10(1), 1-19. https://doi.org/10.1093/wbro/10.1.1.
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9. Alesina, A., Giuliano, P., & Nunn, N. (2013). On the Origins of Gender Roles: Women and the Plough. Quarterly Journal of Economics, 128(2), 469-530.
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10. Alkema, L., Raftery, A. E., Gerland, P., Clark, S. J., & Pelletier, F. (2012). Estimating trends in the total fertility rate with uncertainty using imperfect data: Examples from West Africa. Demographic Research, 26, 331-362. https://doi.org/10.4054/DemRes.2012.26.15.
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11. Anderson, S., & Eswaran, M. (2009). What determines female autonomy? Evidence from Bangladesh. Journal of Development Economics, 90(2), 179-191. https://doi.org/10.1016/j.jdeveco.2008.10.004.
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13. Ardington, C., Menendez, A., & Mutevedzi, T. (2015). Early childbearing, human capital attainment, and mortality risk: Evidence from a longitudinal demographic surveillance area in rural kwazulu-natal, South Africa. Economic Development and Cultural Change, 63(2), 281-317. https://doi.org/10.1086/678983.
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14. Ashraf, N., Field, E., & Lee, J. (2014). Household bargaining and excess fertility: An experimental study in Zambia. American Economic Review, 104(7), 2210-2237. https://doi.org/10.1257/aer.104.7.2210.
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15. Attanasio, O., Low, H., & Sánchez-Marcos, V. (2008). Explaining changes in female labor supply in a life-cycle model. American Economic Review, 98(4), 1517-1552. https://doi.org/10.1257/aer.98.4.1517.
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17. Bailey, M. J. (2006). More power to the pill: The impact of contraceptive freedom on women's life cycle labor supply. The Quarterly Journal of Economics, 121(1), 289-320. https://doi.org/10.1093/qje/121.1.289.
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18. Bailey, M. J. (2013). Fifty years of family planning: new evidence on the long-run effects of increasing access to contraception. Brookings Papers on Economic Activity, 2013(1), 341-409. https://doi.org/10.1353/eca.2013.0001.
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19. Bailey, M. J., Hershbein, B., & Miller, A. R. (2012). The opt-in revolution? Contraception and the gender gap in wages. American Economic Journal: Applied Economics, 4(3), 225-254. https://doi.org/10.1257/app.4.3.225.
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20. Baird, S., Chirwa, E., McIntosh, C., & Özler, B. (2015). What happens once the intervention ends? The medium-term impacts of a cash transfer pragramme in Malawi. 3ie Impact Evaluation Report, 27.
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21. Balbo, N., Billari, F. C., & Mills, M. (2013). Fertility in advanced societies: a review of research: la fécondité dans les sociétés avancées: Un examen des recherches. European Journal of Population/Revue europeenne de demographie, 29(1), 1-38. https://doi.org/10.1007/s10680-012-9277-y.
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https://doi.org/10.1007/s10680-012-9277-y
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22. Barigozzi, F., Cremer, H., & Roeder, K. (2018). Women's career choices, social norms and child care policies. Journal of Public Economics, 168, 162-173. https://doi.org/10.21203/rs.3.rs-113086/v1.
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23. Barros, R. P., Olinto, P., Lunde, T., & Caralho, M. (2013). The impact of access to free childcare on women's labor market outcomes : evidence from a randomized trial in low-income neighborhoods of Rio de Janeiro. World Bank's Gender Impact Evaluation Database Washington, D.C. : World Bank Group.
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33. Bongaarts, J. (2011). Can family planning programs reduce high desired family size in sub-Saharan Africa? IPSRH, 37(04), 209-216. https://doi.org/10.1363/3720911.
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34. Bongaarts, J., & Casterline, J. (2013). Fertility Transition: Is sub-Saharan Africa Different? Population and Development Review, 38(Suppl 1), 153-168. doi:10.1111/j.1728-4457.2013.00557.x.
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61. Field, E. M., Pande, R., Rigol, N., Schaner, S. G., & Moore, C. T. (2019). On Her Own Account: How Strengthening Women's Financial Control Affects Labor Supply and Gender Norms. National Bureau of Economic Research Working Paper Series, No. 26294.
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1. Boucher RC (2004) New concepts of the pathogenesis of cystic fibrosis lung disease. Eur Resp J 23: 146–158.
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2. Knowles MR, Boucher RC (2002) Mucus clearance as a primary innate defense mechanism for mammalian airways. J Clin Investig 109: 571–577.
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3. Antunes MB, Cohen NA (2007) Mucociliary clearance - a critical upper airway host defense mechanism and methods of assessment. Curr Opin Allergy Clin Immunol 7: 5–10.
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4. Riordan JR, Rommens JM, Kerem BS, Alon N, Rozmahel R, et al. (1989) Identification of the Cystic-Fibrosis Gene - Cloning and Characterization of Complementary-Dna. Science 245: 1066–1072.
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5. Rommens JM, Iannuzzi MC, Kerem BS, Drumm ML, Melmer G, et al. (1989) Identification of the Cystic-Fibrosis Gene - Chromosome Walking and Jumping. Science 245: 1059–1065.
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6. Bobadilla JL, Macek M, Fine JP, Farrell PM (2002) Cystic fibrosis: A worldwide analysis of CFTR mutations - Correlation with incidence data and application to screening. Human Mutation 19: 575–606.
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7. Qu BH, Thomas PJ (1996) Alteration of the cystic fibrosis transmembrane conductance regulator folding pathway - Effects of the Delta F508 mutation on the thermodynamic stability and folding yield of NBD1. J Biol Chem 271: 7261–7264.
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https://doi.org/10.1257/aer.98.2.500
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https://doi.org/10.1093/qje/qjt005
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https://doi.org/10.4054/DemRes.2012.26.15
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https://doi.org/10.1016/j.jdeveco.2008.10.004
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https://doi.org/10.1086/678983
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https://doi.org/10.1086/678983
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https://doi.org/10.1257/aer.104.7.2210
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https://doi.org/10.1257/aer.98.4.1517
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https://doi.org/10.1093/qje/121.1.289
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https://doi.org/10.1353/eca.2013.0001
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https://doi.org/10.1257/app.4.3.225
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https://doi.org/10.23846/ow2147
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https://doi.org/10.1007/s10680-012-9277-y
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https://doi.org/10.21203/rs.3.rs-113086/v1
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https://doi.org/10.2139/ssrn.3213304
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https://doi.org/10.3368/jhr.45.1.33
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https://doi.org/10.1007/s10887-009-9039-9
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https://doi.org/10.1007/s13524-011-0076-6
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https://doi.org/10.1007/s13524-019-00793-3
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https://doi.org/10.1111/joes.12202
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https://doi.org/10.1093/ije/dys184
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https://doi.org/10.1016/j.labeco.2005.10.006
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https://doi.org/10.1017/dem.2014.8
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https://doi.org/10.1007/s10887-019-09172-4
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https://doi.org/10.1016/j.jpubeco.2012.09.001
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https://doi.org/10.1111/j.1728-4457.2012.00533.x
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https://doi.org/10.1111/1468-0009.12326
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https://doi.org/10.1016/j.asieco.2011.06.001
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https://doi.org/10.1257/aer.89.2.150
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https://doi.org/10.1080/13545701.2019.1674451
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https://doi.org/10.1080/13545701.2019.1670350
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https://doi.org/10.2307/2118385
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https://doi.org/10.1086/704615
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https://doi.org/10.3386/w4707
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https://doi.org/10.1086/340778
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https://doi.org/10.1177/0002716211414398
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https://doi.org/10.1257/jep.31.1.161
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62
02-data/raw/02_snowballing-starts/Kumari2018/DOIs_only.txt
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62
02-data/raw/02_snowballing-starts/Kumari2018/DOIs_only.txt
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||||||
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1. Boucher RC (2004) New concepts of the pathogenesis of cystic fibrosis lung disease. Eur Resp J 23: 146–158.
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2. Knowles MR, Boucher RC (2002) Mucus clearance as a primary innate defense mechanism for mammalian airways. J Clin Investig 109: 571–577.
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3. Antunes MB, Cohen NA (2007) Mucociliary clearance - a critical upper airway host defense mechanism and methods of assessment. Curr Opin Allergy Clin Immunol 7: 5–10.
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4. Riordan JR, Rommens JM, Kerem BS, Alon N, Rozmahel R, et al. (1989) Identification of the Cystic-Fibrosis Gene - Cloning and Characterization of Complementary-Dna. Science 245: 1066–1072.
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5. Rommens JM, Iannuzzi MC, Kerem BS, Drumm ML, Melmer G, et al. (1989) Identification of the Cystic-Fibrosis Gene - Chromosome Walking and Jumping. Science 245: 1059–1065.
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6. Bobadilla JL, Macek M, Fine JP, Farrell PM (2002) Cystic fibrosis: A worldwide analysis of CFTR mutations - Correlation with incidence data and application to screening. Human Mutation 19: 575–606.
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7. Qu BH, Thomas PJ (1996) Alteration of the cystic fibrosis transmembrane conductance regulator folding pathway - Effects of the Delta F508 mutation on the thermodynamic stability and folding yield of NBD1. J Biol Chem 271: 7261–7264.
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https://doi.org/10.1002/14651858
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https://doi.org/10.1136/jech-2013-203116
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https://doi.org/10.1080/16501970510040263
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https://doi.org/10.3109/02699052.2013.766929
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1. Gates LB. Workplace accommodation as a social process. J Occup Rehabil. 2000;10:85–98.
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18. Baldridge DC, Veiga JF. The impact of anticipated social consequences on recurring disability accommodations requests. J Manag. 2006;32:158–79.
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19. Riemer-Reiss ML, Wacker RR. Factors associated with assistive technology discontinuance among individuals with disabilities. J Rehabil. 2000;66:44–50.
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27. Khan F, Ng L, Turner-Stokes L. Effectiveness of vocational rehabilitation intervention on the return to work and employment of persons with multiple sclerosis. Cochrane Database Syst Rev. 2009;(1):CD007256. doi:10.1002/14651858.CD007256.pub2.
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28. Sauer AL, Parks A, Heyn PC. Assistive technology effects on the employment outcomes for people with cognitive disabilities: a systematic review. Disabil Rehabil Assist Technol. 2010;5:377–91.
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29. Salminen A-L, Brandt Å, Samuelsson K, Töytäri O, Malmivaara A. Mobility devices to promote activity and participation: a systematic review. J Rehabil Med. 2009;41:697–706.
|
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|
30. Anttila H, Samuelsson K, Salminen A-L, Brandt Å. Quality of evidence of assistive technology interventions for people with disability: an overview of systematic reviews. Technol Disabil. 2012;24:9–48.
|
||||||
|
31. Crowther RE, Marshall M, Bond GR, Huxley P. Helping people with severe mental illness to obtain work: systematic review. BMJ. 2001;322:204–8.
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1. Boucher RC (2004) New concepts of the pathogenesis of cystic fibrosis lung disease. Eur Resp J 23: 146–158.
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2. Knowles MR, Boucher RC (2002) Mucus clearance as a primary innate defense mechanism for mammalian airways. J Clin Investig 109: 571–577.
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https://doi.org/10.5271/sjweh.3290
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https://doi.org/10.1017/S0144686X11000237
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https://doi.org/10.1002/hec.1537
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https://doi.org/10.5271/sjweh.3514
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https://doi.org/10.1006/jvbe.1997.1610
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https://doi.org/10.1136/bmjopen-2011-000522
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https://doi.org/10.1093/aje/kwm053
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https://doi.org/10.1093/sleep/32.11.1459
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https://doi.org/10.1186/1471-2458-13-1180
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https://doi.org/10.1016/j.socscimed.2016.10.002
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https://doi.org/10.1038/nature08984
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https://doi.org/10.2307/146279
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https://doi.org/10.1037/0021-9010.92.2.455
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https://doi.org/10.1177/0149206309347957
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https://doi.org/10.1017/S1368980008003066
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https://doi.org/10.1093/eurpub/ckt157
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40
02-data/raw/02_snowballing-starts/Zeinali2021/DOIs_only.txt
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02-data/raw/02_snowballing-starts/Zeinali2021/DOIs_only.txt
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@ -0,0 +1,40 @@
|
||||||
|
https://doi.org/10.1016/j.surg.2014.07.005
|
||||||
|
https://doi.org/10.1017/gheg.2016.22
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|
https://doi.org/10.1016/S0140-6736(19)30648-8
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|
https://doi.org/10.1136/bmjgh-2020-003549
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https://doi.org/10.1016/S0140-6736(19)30765-2
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|
https://doi.org/10.1093/heapol/czw020
|
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|
https://doi.org/10.1509/jppm.12.044
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|
https://doi.org/10.1186/s12914-016-0108-9
|
||||||
|
https://doi.org/10.1186/1478-4491-12-26
|
||||||
|
https://doi.org/10.1371/journal.pone.0153391
|
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|
https://doi.org/10.1186/1478-4491-12-25
|
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|
https://doi.org/10.1111/j.1471-1842.2009.00848.x
|
||||||
|
https://doi.org/10.1093/heapol/czz019
|
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|
https://doi.org/10.1186/s12939-018-0859-0
|
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|
https://doi.org/10.1515/orga-2017-0009
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|
https://doi.org/10.1097/ACM.0000000000003610
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|
https://doi.org/10.1186/s12913-019-4424-3
|
||||||
|
https://doi.org/10.1177/0971521517738432
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|
https://doi.org/10.1186/s12960-019-0367-3
|
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|
https://doi.org/10.1111/medu.12988
|
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|
https://doi.org/10.1177/0022034519877385
|
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|
https://doi.org/10.15171/ijhpm.2013.05
|
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|
https://doi.org/10.1177/0891243213490232
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|
https://doi.org/10.1080/17441690801892240
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|
https://doi.org/10.1016/j.socnet.2016.06.004
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https://doi.org/10.1186/s12992-018-0401-6
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https://doi.org/10.1503/cmaj.180188
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|
https://doi.org/10.1016/S0140-6736(19)30651-8
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https://doi.org/10.1016/S0140-6736(19)30239-9
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https://doi.org/10.1016/S0140-6736(19)30987-0
|
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|
https://doi.org/10.1097/ACM.0000000000000369
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|
https://doi.org/10.1016/S1048-9843(02)00120-0
|
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|
https://doi.org/10.1016/S0277-9536(02)00142-9
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|
https://doi.org/10.1080/23288604.2016.1225471
|
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|
https://doi.org/10.1007/978-3-030-84498-1_18
|
||||||
|
https://doi.org/10.1016/S0140-6736(15)60497-4
|
||||||
|
https://doi.org/10.1007/978-3-319-98473-5
|
||||||
|
https://doi.org/10.1007/978-3-319-98473-5_5
|
||||||
|
https://doi.org/10.1007/978-3-319-98473-5_6
|
||||||
|
https://doi.org/10.1007/978-3-319-98473-5_1
|
60
02-data/raw/02_snowballing-starts/Zeinali2021/references.txt
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60
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@ -0,0 +1,60 @@
|
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1. World Health Organization (WHO). Global Strategy on Human Resources for Health: Workforce 2030. WHO; 2016:64.
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3. Economou JS. Gender bias in biomedical research. Surgery. 2014; 156(5):1061-1065. doi:10.1016/j.surg.2014.07.005
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4. Dhatt R, Theobald S, Buzuzi S, et al. The role of women’s leadership and gender equity in leadership and health system strengthening. Glob Health Epidemiol Genom. 2017;2:e8. doi:10.1017/gheg.2016.22
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