The National Strategic Plan on Malaria Prevention and Elimination Period 2021 – 2025 seeks to build on the previous national successes of the National Institute of Malariology, Parasitology, and Entomology (NIMPE) while addressing current challenges to reduce the overall burden of malaria in the S...outhern and Central provinces and to initiate elimination activities in remaining focal areas of transmission throughout the country. The overall targets proposed to be reached by 2025 are:
Reduce malaria morbidity rate to below 0.015/1,000 population
Reduce malaria mortality rate to below 0.002/100,000 population
Eliminate malaria in 55 provinces
Ensure no malaria outbreaks
To address the urgent threat of drug resistance, Viet Nam has committed to accelerate efforts to eliminate locally-acquired P. falciparum by 2023.
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The 2024 edition reviews more than 50 health-related indicators from the Sustainable Development Goals and WHO’s Thirteenth General Programme of Work. It also highlights the findings from the Global health estimates 2021, notably the impact of the COVID-19 pandemic on life expectancy and healthy l...ife expectancy.
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Adapted from CURRENT Medical Diagnosis & Treatment 2010
Clinical Practice Guidelines and Clinical Pathway for Therapy and Management of Heart Disease and Blood Vessels in Indonesia
Nature Sustainability | VOL 2 | APRIL 2019 | 267–273 | www.nature.com/natsustain
Objective: This study examined the experiential factors and interacting vulnerabilities that contribute to the development of posttraumatic stress disorder (PTSD) in children and adolescents
Am J Psychiatry 2000; 157:1229–1235)
Centre de traitement des infections respiratoires aiguës sévères : manuel pratique pour la mise en place et la gestion d’un centre de traitement des IRAS et d’une unité de dépistage des IRAS dans les établissements de soins
This Summary for Policymakers (SPM) presents key findings of the Working Group I (WGI) contribution to the IPCC’s Sixth Assessment Report (AR6) on the physical science basis of climate change. The report builds upon the 2013 Working Group I contribution to the IPCC’s Fifth Assessment Report (AR5...) and the 2018–2019 IPCC Special Reports of the AR6 cycle and
incorporates subsequent new evidence from climate science
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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Provisional recommendations May 2014
For COVID-19, as for many infectious diseases, the true level of transmission is frequently underestimated because a substantial proportion of people with the infection are undetected either because they are asymptomatic or have only mild symptoms and thus typically fail to present at healthcare fac...ilities. There may also be neglected or under-served segments of the population who are less likely to access healthcare or testing. Under-detection of cases may be exacerbated during an epidemic, when testing capacity may be limited and restricted to people with severe cases and priority risk groups (such as frontline healthcare workers, elderly people and people with comorbidities). Cases may also be misdiagnosed and attributed to other diseases with similar clinical presentation, such as influenza.
Differences in mortality between groups of people and countries are important proxy indicators of relative risk of death that guide policy decisions regarding scarce medical resource allocation during the ongoing COVID-19 pandemic. This document is intended to help countries estimate CFR and, if possible, IFR, as appropriately and accurately as possible, while accounting for possible biases in their estimation
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Mapping Report - Catalonia (Spain).
PlosOne Published: July 14, 2021
https://doi.org/10.1371/journal.pone.0254339