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Tuberculosis

Description

The global strategy for eliminating tuberculosis (TB) epidemic "End TB" has been implemented in the world since 2016. Its main goal is to reduce the 2015 TB incidence rate by 90% and 2015 TB mortality rate by 95% by 2035. In Ukraine, in 2016, the incidence rate of new cases of tuberculosis among the general population was 54.7 per 100 thousand of population (2015 - 55.9), the rate of decrease was 2.1 ± 0.1%. In Donetsk Oblast (that is under control of Ukrainian authorities), the incidence rate increased by 2.4% and was 56.4 per 100 thousand of population. The mortality rates were 19 ± 0.6% in the country and 29 ± 2.5% in Donetsk Oblast. However, according to the World Health Organization (WHO) estimates, we need to enhance the annual incidence rate reduction by 10% by 2025, and TB mortality rate should be reduced to 6.5% in order to achieve the strategy-targeted values. In Ukraine, as well as globally, there is a crisis of multidrug-resistant tuberculosis (MDR-TB). According to WHO estimates, Ukraine belongs to five European countries where 2/3 of MDR-TB cases were registered; the proportion of MDR-TB cases among newly diagnosed TB cases was 16%, and 48% of repeated cases. In Ukraine, this rate is equal to 24.3% and 58.2% in Donetsk Oblast, respectively. Such results in the Donetsk region may be related to the beginning of hostilities in eastern Ukraine in 2014, which lead to the active migration of population and breakdown of the supply of anti-TB drugs. According to monitoring data, 20% of with MDR-TB on the territory of the Donetsk region controlled by Ukraine were lost and did not seek medical assistance.

Objective:

Describe the common work of Donetsk State Phthisiological Service and non-governmental organizations that has been conducted since 2014 in order to achieve the global goal for tuberculosis elimination.

Submitted by elamb on
Description

Disease surveillance systems remain the best quality systems to rely on when standardized surveillance systems provide the best data to understand disease occurrence and trends. The United States National Tuberculosis Surveillance System (NTSS) contains reported tuberculosis (TB) cases provided by all 50 states, the District of Columbia (DC), New York City, Puerto Rico, and other U.S.-affiliated jurisdictions in the Pacific Ocean and Caribbean Sea. However, the NTSS currently captures phenotypic drug susceptibility testing (DST) data and does not have the ability to collect the rapid molecular DST data generated by platforms such as Cepheid GeneXpert MTB/RIF, Hain MTBDRplus and MTBDRsl, Pyrosequencing, and Whole Genome Sequencing. Moreover, the information exchanges within the NTSS (represented in HL7 v2.5.1) are missing critical segments for appropriately representing laboratory test results and data on microbiological specimens.

Objective:

The objective of this presentation is to use a congruence of standardization protocols to effectively ensure that the quality of the data elements and exchange formats within the NTSS are optimal for users of the system.

Submitted by elamb on
Description

Historically, patients with TB have often been diagnosed late or after death. This delay in diagnosis often occurs because TB is misdiagnosed as an alternative respiratory illness (RI), such as pneumonia . TB infected patients that are not correctly diagnosed when initial symptoms occur may spread infection to others in both healthcare settings and the community.

Objective

To estimate the potential number of Tuberculosis (TB) cases that occur in inpatient and emergency department settings that are missed, diagnosed as something else, go untreated and return to the community, prior to receiving a correct diagnosis of TB. We analyze inpatient and emergency department records from the state of California from 2005-2011.

Submitted by teresa.hamby@d… on
Description

Transparency of information on infectious disease epidemics is crucial for not only public health workers but also the residents in the communities. Traditionally, disease control departments created official websites for displaying disease maps or epi-curves with the confirmed case counts. The websites were usually very formal and static, without interaction, animation, or even the aid of spatial statistics. Therefore, we tried to take advantage of open data and use a lightweight programming language, JavaScript, to create an interactive website, named “Taiwan Infectious Disease Map (http://ide.geohealth.tw/)“. With the website, we expect to provide real-time incidence information and related epidemiological features using interactive maps and charts. 

Objective

To visualize the incidence of notifiable infectious diseases spatially and interactively, we aimed to provide a friendly interface to access local epidemic information based on open data for health professionals and the public. 

Submitted by Magou on