TY - JOUR
T1 - Health disparities research is enabled by data diversity but requires much tighter integration of collaborative efforts
AU - Cazier, Jean-Baptiste
AU - Mainzer, Liudmila Sergeevna
AU - Ge, Weihao
AU - Žurauskienė, Justina
AU - Madak-Erdogan, Zeynep
N1 - Funding Information:
Funding: Birmingham-Illinois Partnership for Discovery, Engagement and Education (BRIDGE) funds. Authorship contributions: All authors contributed equally to this work. All authors have read and approved the final version of the manuscript. Competing interests: The authors completed the ICMJE Unified Competing Interest form (available upon request from the corresponding author), and declare no conflicts of interest.
PY - 2020/12
Y1 - 2020/12
N2 - The world is diverse, and this needs to be better recognized and addressed in health research. Health Disparities (HD) are a growing concern, which affects not only the world at a global scale, but individual countries and their own diversity [1]. The spectrum of individual health is moulded not solely by genetics or socio-economics [2], but by a combination of numerous factors, which include other key parameters such as geographic location [3] (to reflect rurality or segregation that can reduce access to care), impeding monitoring, risk reduction, diagnosis, and treatment of medical conditions [4]. The multifaceted nature of the problem demands availability of relevant data, analysis approaches, and research infrastructure. In addition to interdisciplinary partnerships among scientists in health, geography, data science or sociology, work is also needed to unite researchers, clinicians, politicians, and the communities themselves (Figure 1). Only such harmonious integration across stakeholders will ensure
AB - The world is diverse, and this needs to be better recognized and addressed in health research. Health Disparities (HD) are a growing concern, which affects not only the world at a global scale, but individual countries and their own diversity [1]. The spectrum of individual health is moulded not solely by genetics or socio-economics [2], but by a combination of numerous factors, which include other key parameters such as geographic location [3] (to reflect rurality or segregation that can reduce access to care), impeding monitoring, risk reduction, diagnosis, and treatment of medical conditions [4]. The multifaceted nature of the problem demands availability of relevant data, analysis approaches, and research infrastructure. In addition to interdisciplinary partnerships among scientists in health, geography, data science or sociology, work is also needed to unite researchers, clinicians, politicians, and the communities themselves (Figure 1). Only such harmonious integration across stakeholders will ensure
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U2 - 10.7189/jogh.10.020351
DO - 10.7189/jogh.10.020351
M3 - Review article
C2 - 33214885
SN - 2047-2978
VL - 10
SP - 1
EP - 4
JO - Journal of Global Health
JF - Journal of Global Health
IS - 2
ER -