Datahub

The ITM Datahub fosters expertise, collaboration, and critical reflection around data and data-related research processes. Thematically, we focus on how human populations are affected by and respond to health challenges.

Initiatives

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Mapping spatial data

Explore how public health researchers conceptualize and operationalize space

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Disease situations of TB and HIV

Study disease situations of tuberculosis (TB) and HIV among trans and cis women sex workers in downtown Lima, Peru

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Interdisciplinarity

Develop and share methods that facilitate interdisciplinary research

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BRIDGE mentorship initiative

Promote research integrity and fairness in global health epidemiological studies

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Data on racialised groups

Conduct a literature review (systematic search and critical analysis) about health research and data on racialised groups

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Mapping data on migrants and medicine

Map the available sources of datasets about access to and use of medicines among migrant populations

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Mapping data for urban health

Explore how data can be obtained, combined, interpreted and presented to inform decision-making about wicked urban health problems

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Scales

The choice of spatial scale in epidemiological research studies about tuberculosis in cities  - A scoping review

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Statistics experiences

Write vignettes to share statistics experiences that do not make it into classical research papers

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Data management for programs

Establish a robust and efficient DHIS2 platform specifically tailored to optimize the quality of leprosy case management

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Social network analysis

Collect primary data for quantitative social network analysis using digital tools

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Quantitative data

Make quantitative research data available for secondary use

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Software code

Make R code available for estimations of disease frequency using Bayesian hierarchical spatial approaches