Federal funding allocation on HIV/AIDS research in the United States (2008–2018): an exploratory study using Big Data

References

• Armstrong, D. G., Kanda, V. A., Lavery, L. A., Marston, W., Mills, J. L., & Boulton, A. J. M. (2013). Mind the gap: Disparity between research funding and costs of care for diabetic foot ulcers. Diabetes Care, 36(7), 1815–1817. https://doi.org/10.2337/dc12-2285
   PubMed Web of Science ®Google Scholar
• Brown, E., & Director, N. I. H. (2012). Academic Research Enhancement Award (AREA) program. Centers for Disease Control and Prevention. HIV Surveillance Report.
   Google Scholar
• Centers for Disease Control and Prevention. (2020). HIV in the United States and dependent areas. Retrieved April 10, 2020, from https://www.cdc.gov/hiv/pdf/statistics/overview/cdc-hiv-us-ataglance.pdf
   Google Scholar
• Cook, I., Grange, S., & Eyre-Walker, A. (2015). Research groups: How big should they be? PeerJ, 3, e989. https://doi.org/10.7717/peerj.989
   PubMed Web of Science ®Google Scholar
• Earnshaw, V. A., Bogart, L. M., Dovidio, J. F., & Williams, D. R. (2015). Stigma and racial/ethnic HIV disparities: Moving toward resilience.
   Google Scholar
• Gant, Z., Johnson, S. D., Li, J., Wang, S., Hawkins, D., & Chong, M. (2020). Diagnoses of HIV infection in the United States and dependent areas.
   Google Scholar
• Gebo, K. A., Fleishman, J. A., Conviser, R., Reilly, E. D., Korthuis, P. T., & Moore, R. D. (2005). Racial and gender disparities in receipt of highly active antiretroviral therapy persist in a multistate sample of HIV patients in 2001. JAIDS Journal of Acquired Immune Deficiency Syndromes, 38(1), 96–103. https://doi.org/10.1097/00126334-200501010-00017
   PubMed Web of Science ®Google Scholar
• Greenberg, A. E., Purcell, D. W., Gordon, C. M., Flores, S., Grossman, C., Fisher, H. H., & Barasky, R. J. (2013). NIH support of Centers for AIDS Research and Department of Health collaborative public health research: Advancing CDC’s enhanced comprehensive HIV prevention planning project. Journal of Acquired Immune Deficiency Syndromes (1999), 64(1). https://doi.org/10.1097/QAI.0b013e3182a99bc1
   PubMedGoogle Scholar
• Gross, C. P., Anderson, G. F., & Powe, N. R. (1999). The relation between funding by the National Institutes of Health and the burden of disease. New England Journal of Medicine, 340(24), 1881–1887. https://doi.org/10.1056/NEJM199906173402406
   PubMed Web of Science ®Google Scholar
• Hanna, D. B., Selik, R. M., Tang, T., & Gange, S. J. (2012). Disparities among states in HIV-related mortality in persons with hiv infection, 37 US states, 2001–2007. AIDS (London, England), 26(1), 95. https://doi.org/10.1097/QAD.0b013e32834dcf87
   PubMed Web of Science ®Google Scholar
• Hess, K. L., Johnson, S. D., Hu, X., Li, J., Wu, B., & Yu, C. (2018). Diagnoses of HIV infection in the United States and dependent areas, 2017.
   Google Scholar
• Kaiser Family Foundation. (2019). U.S. federal funding for HIV/AIDS: Trends over time.
   Google Scholar
• Katz, Y., & Matter, U. (2017). On the biomedical elite: Inequality and stasis in scientific knowledge production. Berkman Klein Center Research Publication.
   Google Scholar
• Lauer, M., Roychowdhury, D., Patel, K., Walsh, R., & Pearson, K. (2017). Marginal returns and levels of research grant support among scientists supported by the National Institutes of Health. BioRxiv, 142554. https://doi.org/10.1101/142554
   Google Scholar
• Merton, R. K. (1968). The Matthew effect in science: The reward and communication systems of science are considered. Science, 159(3810), 56–63. https://doi.org/10.1126/science.159.3810.56
   PubMed Web of Science ®Google Scholar
• Millett, G. A., Flores, S. A., Peterson, J. L., & Bakeman, R. (2007). Explaining disparities in HIV infection among black and white men who have sex with men: A meta-analysis of HIV risk behaviors. Aids, 21(15), 2083–2091. https://doi.org/10.1097/QAD.0b013e3282e9a64b
   PubMed Web of Science ®Google Scholar
• Millett, G. A., Peterson, J. L., Flores, S. A., Hart, T. A., Jeffries, W. L., & Wilson, P. A. (2012). Comparisons of disparities and risks of HIV infection in black and other men who have sex with men in Canada, UK, and USA: A meta-analysis. The Lancet, 380(9839), 341–348. https://doi.org/10.1016/S0140-6736(12)60899-X
   PubMed Web of Science ®Google Scholar
• Mongeon, P., Brodeur, C., Beaudry, C., & Larivière, V. (2016). Concentration of research funding leads to decreasing marginal returns. Research Evaluation, 25(4), 396–404. https://doi.org/10.1093/reseval/rvw007
   Web of Science ®Google Scholar
• National Institutes of Health. (2019a). NIH bolsters funding for HIV implementation research in high-burden U.S. areas.
   Google Scholar
• National Institutes of Health. (2019b). NIH strategic plan for HIV and HIV-related research FY2019/2020. https://www.oar.nih.gov/sites/default/files/NIH-OAR_FY2019-2020_NIH_Plan_FINAL_508.pdf
   Google Scholar
• Reif, S. S., Whetten, K., Wilson, E. R., McAllaster, C., Pence, B. W., Legrand, S., & Gong, W. (2014). HIV/AIDS in the southern USA: A disproportionate epidemic. AIDS Care, 26(3), 351–359. https://doi.org/10.1080/09540121.2013.824535
   PubMed Web of Science ®Google Scholar
• Singh, G. K., Azuine, R. E., & Siahpush, M. (2013). Widening socioeconomic, racial, and geographic disparities in HIV/AIDS mortality in the United States, 1987–2011. Advances in Preventive Medicine. 2013(657961). https://doi.org/10.1155/2013/657961
   PubMedGoogle Scholar
• Valantine, H. A., & Collins, F. S. (2015). National Institutes of Health addresses the science of diversity. Proceedings of the National Academy of Sciences, 112(40), 12240–12242. https://doi.org/10.1073/pnas.1515612112
   PubMed Web of Science ®Google Scholar
• Wahls, W. P. (2016). Biases in grant proposal success rates, funding rates and award sizes affect the geographical distribution of funding for biomedical research. PeerJ, 4, e1917. https://doi.org/10.7717/peerj.1917
   PubMed Web of Science ®Google Scholar
• Wahls, W. P. (2018). High cost of bias: Diminishing marginal returns on NIH grant funding to institutions. BioRxiv, 367847. https://doi.org/10.1101/367847
   Google Scholar
• Wahls, W. P. (2019). Opinion: The National Institutes of Health needs to better balance funding distributions among US institutions. Proceedings of the National Academy of Sciences, 116(27), 13150–13154. https://doi.org/10.1073/pnas.1909217116
   PubMed Web of Science ®Google Scholar
• Wu, L., Wang, D., & Evans, J. A. (2019). Large teams develop and small teams disrupt science and technology. Nature, 566(7744), 378–382. https://doi.org/10.1038/s41586-019-0941-9
   PubMed Web of Science ®Google Scholar
• Xie, Y. (2014). “Undemocracy”: Inequalities in science. Science, 344(6186), 809–810. https://doi.org/10.1126/science.1252743
   PubMed Web of Science ®Google Scholar