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Publication Years
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1490
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21
Category
1103
427
237
146
79
35
31
1
Toolboxes
318
192
165
113
98
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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
more
National Plague Control Guidelines
recommended
Accessed Oktober 18, 2017
This revision covers the main non-communicable diseases in Mozambique as well as the National Strategic Plan's aim to create a positive environment to minimize or eliminate the exposure to risk factors and guarantee access to care.
Coronavirus disease (COVID-19) - First Line Facility Management of Possible COVID-19
Western Cape Government (health); Practical Approach to Care Kit (PACK); University of Cape Town; Knowledge Translation Unit (University of Cape Tow Lung Institute)
Western Cape Government (health); Practical Approach to Care Kit (PACK); University of Cape Town; Knowledge Translation Unit (University of Cape Tow Lung Institute)
(2020)
C2
Updated 20 March 2020
The Lancet Published Online September 13, 2016 http://dx.doi.org/10.1016/S0140-6736(16)31404-0
In the context of the Support to National Malaria Control Programme (SuNMaP), demand creation is the strategic combination of advocacy, communication and mobilisation approaches that seek to achieve increased community awareness of, and demand for,
...
effective malaria prevention and treatment services. For malaria treatment, demand creation focuses on promoting improved testing, prompt and proper use of artemisinin combination therapy (ACT) treatment for individual cases of malaria, and effective home management of fever, together with referrals of severe cases to a higher-level health facility.
more
A review of current literature and up date data from the field, April 2015.
This report has been published in part in J Hosp Inf. 2015;90:1-9.
http://www.ncbi.nlm.nih.gov/pubmed/?term=ebola+nosocomial+shears
10–11 May 2016, Catania, Italy
This document outlines Rwanda's policy on non-communicable diseases. The overall goal of NCDs Policy is to alleviate the burden of NCDs and their risk factors and protect Rwandan population from premature morbidity and mortality related to NCDs. Thi
...
s policy was developed through a series of consultative meetings and workshops of NCDs' core team members of MOH and RBC, National Technical Working Group (TWG), all implementing and non implementing partners and other development partners. This policy was developed in line with the Millennium Development Goals (MDGs), Vision 2020, Rwanda Economic Development Poverty Reduction Strategy (EDPRS II) of 2013-18 and NCDs Global Action Plan 2013-2020 and national Health Policy. This policy focuses on of the following NCDs: Cardiovascular diseases, Chronic Pulmonary Diseases (CPD), Cancers, Diabetes, injuries and disabilities, oral, eye and kidney diseases.
more
January - December 2017
Noncommunicable diseases (NCDs) such as cancer, cardiovascular diseases, diabetes and chronic respiratory diseases and their risk factors are an increasing public health and development challenge in Turkey. This report provides evidence through three analyses that NCDs reduce economic output, and di
...
scusses potential options in response, outlining details of their relative returns on investment. An economic burden analysis shows that economic losses from NCDs are equivalent to 3.6% of gross domestic product. An intervention costing analysis provides an estimate of the funding required to implement a set of policy interventions for prevention and clinical interventions. A cost–benefit analysis compares these implementation costs with the estimated health gains and identifies which policy packages would give the greatest returns on investment.
more
Pathogen genomic surveillance has become a priority for public health systems in recent years. Genomic sequencing is increasingly being used to characterize pathogens and monitor important public health priorities (e.g. poliovirus, influenza virus, Mycobacterium tuberculosis and Vibrio cholerae, ant
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imicrobial resistance (AMR)). The decrease in cost and time of sequencing and the exponential development of bioinformatic pipelines have played a critical role in integrating pathogen genomics into routine public health surveillance. The coronavirus disease 2019 (COVID-19) pandemic has highlighted the role that sequencing plays in the surveillance of infectious diseases. Sequencing facilitates earlier detection, more accurate investigation of outbreaks, closer real-time monitoring of pathogen evolution and tailored development and evaluation of interventions to inform local to global public health decision-making and action. However, there remains a need to coordinate efforts, leverage and link existing surveillance and laboratory networks and capabilities, and systematically integrate genetic sequence data (GSD) with clinical and epidemiological data to strengthen its utility.
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Diabetes mellitus, commonly known as diabetes, is a group of metabolic disorders characterized by the presence of hyperglycaemia in the absence of treatment. The heterogeneous aetiopathology includes defects in insulin secretion, insulin action, or both. The long-term specific complications of diabe
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tes include retinopathy, nephropathy, and neuropathy. People with diabetes are also at increased risk of other diseases, including cardiac, peripheral arterial and cerebrovascular disease, cataracts, erectile dysfunction, and nonalcoholic fatty liver disease. They are also at an increased risk of some infectious diseases such as tuberculosis, and are likely to experience poorer outcomes.
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END TB
Second Meeting of th WHO Global Coordination Mechanism (GCM/NCD) Working Group on the inclusion of NCDs in other programmatic areas.
Accessded December 2017
Regional Analysis. WPSAR Vol 7, No 2, 2016 | doi: 10.5365/wpsar.2015.6.4.010
