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.
IDS Rapid Response Briefing 8
Global and Regional Data 1 December 2021; The 90–90–90 targets were missed, but not by much. At the end of 2020, 84% of people living with HIV knew their HIV status, 87% of people living with HIV who knew their HIV status were accessing antiretroviral therapy, and 90% of people on treatment were... virally suppressed.
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J Hepatol (2017), http://dx.doi.org/10.1016/j.jhep.2017.03.021
Infectious Diseases of Poverty 2014, 3:42
http://www.idpjournal.com/content/3/1/42
The Humanitarian Pandemic Preparedness (H2P) Initiative and its many partners have developed ready-to-use training curricula for district- and community-level leaders, and community volunteers and workers in order to minimize morbidity and mortality in the event of an influenza pandemic. The time t...o put these tools into action is now.
The curriculum has separate tracks for district/community leaders and for first responders (community volunteers and workers) at the community level.
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Chagas disease is currently endemic and also predicted to be at increased transmission risk under future climate change scenarios. Similarly, an expansion of areas in the United States at increased risk for Chagas disease transmission is also expected over the next several decades under climate chan...ge scenarios. Of particular interest is the predicted northern shift of triatomine species to central regions of the United States with historically unsuitable climates for T. cruzi vectors. The weight of evidence regarding the influences climate change may pose on T. cruzi vector species distributions demonstrates the sensitivity of Chagas disease transmission to future climate variability. In order to advance forecasts for the impact climate change may have on Chagas disease transmission in the Americas, it is imperative to
further develop, utilize, and perhaps combine predictive species distribution modeling approaches that integrate accurate, long term data on climate variables, vector species distributions, Chagas disease incidence, as well as other socio-ecological variables.
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