Global |
Limited stewardship, governance, and lack of human and financial and technical resources19,21; limited demand for, and prioritization of, locally relevant health equity-oriented COVID-19 research19,21; conflicting socio-political value judgments, ideology, and interests around health inequalities, and fair and inequitable responses between countries and institutions.19,23,38,39
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National, regional, or city |
Limited stewardship, governance, and limited provision of health inequalities related human and financial and technical resources19,21,37; limited tradition of public health and health inequalities research
37
; conflicting socio-political value judgments, ideology and interests around health inequalities, and fair and inequitable responses between institutions and stakeholders19,37; limited demand for, and prioritization of locally relevant health equity-oriented COVID-19 research19,21,28; limited demand for available, transparent and reliable, disaggregated and integrated health and socio-demographic data12,13,37; limited academic freedom or creative autonomy to reflect, propose and pursue critical research on global-societal-health issues, such as health inequalities, particularly during pandemics.
19
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Institutional |
Limited stewardship, limited provision of human, financial and technical resources, facilities, and infrastructure19,21,40; conflicting social-political value judgments, ideology and interests19,38,39; limited demand for, and prioritization of, locally relevant health equity-oriented COVID-19 research19,21; limited academic freedom or creative autonomy to reflect, propose, and pursue critical research on global-societal-health issues such as health inequalities, particularly during pandemics.
19
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Research infrastructure: Information systems |
Limited stewardship, governance, and limited provision of human, financial, and information resources19,21,40; limitations in the completeness and quality of geographical information and surveillance resources, with a health equity lens27,28,37; limitations in the available, reliable, disaggregated and integrated health and socio-demographic data, to support the measuring and monitoring of health inequalities.2,19,27,28,32,37,40
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Research infrastructure: Human resources |
Limited access to available training in integrating transdisciplinary perspectives to be able to understand, analyze, and monitor health inequalities19,21,37,40; “brain-drain”19,21; lack of a local critical mass of transdisciplinary professionals, trained to understand, analyze, monitor, and evaluate health inequalities, and other complex global-societal issues such as pandemics19,21,37; conflicting socio-political value judgments, ideology, and interests among research groups and individual researchers.19,23,37–39
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Research networks |
Limited pooling and mobilizing of (local and international) resources and cognitive social capital to co-develop effective solutions to address health inequalities during complex global–societal times19,21,23,37; conflicting socio-political value judgments, ideology and interests among research groups and individual researchers.19,23,37–39
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Research output |
Limited volume of health equity-oriented COVID-19 analyses, and transparent reporting of locally relevant findings, published in peer-review academic international journals.12,13,19,21,25,37
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Research usage |
Challenges in communicating and disseminating these research findings to different audiences in an accurate, appropriate, and timely manner.5,31
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