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1
Artificial intelligence for tuberculosis control: a scoping review of applications in public health
Menon, S.; and K. Ghislein Kuro
(2025)
J Glob Health. 2025;15:04192. This scoping review highlights the potential of AI-driven predictions in national TB programmes to enhance diagnostics, track trends, and strengthen public health surveillance. While promising for reducing transmission and support-
ing TB care in low-resource settings,
...
these models require large-scale validation to ensure real-world applicability, especially for high-risk groups
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Emergency health kits
recommended
WHO has developed standardized health kits of medicines and medical supplies to meet different health needs in humanitarian emergencies and disasters.
These kits are developed to provide reliable and affordable medicines and supplies quickly to those in need. The kits are used by United Nations age
...
ncies, nongovernmental organizations and national governments.
Based primarily on WHO’s Essential Medicines list and guidelines on treatment of specific medical conditions, the contents of the kits are frequently reviewed and updated to adapt to changing needs based on experience in emergency situations.
A certain number of kits are prepositioned in strategic locations to be mobilized quickly in times of need. Long term agreements with suppliers are also in place to ensure rapid shipment wherever needed.
more
Nigeria is Africa’s most populous nation and accounts for nearly one quarter of the continent’s maternal, newborn and child deaths. In the spirit of the global Countdown to 2015 for Maternal, Newborn and Child Health and the Nigerian Saving One Million Lives Initiative, these state data profiles
...
have been designed to prompt and inform policy and programme action.
Without data there can be no accountability. Without accountability we risk making no progress for Nigeria’s women and children. The data included in these profiles come mainly from large-scale, periodic household surveys. Continued efforts are needed to strengthen civil registration, vital statistics and health management information systems, as well as the institutional capacity to gather and use these data.
Updated from 2011, these data profiles can be used to compare progress in different areas, identify opportunities to address specific coverage gaps, and monitor implementation.
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