The TB epidemic is worsening because of the Covid-19 pandemic. Given the massive setback to progress in reaching any of the TB targets, it's time for the TB community to ask: are there Covid-19 innovations and systems that can be effectively leveraged to tackle TB and get back on track?
can be powerful predictive tools that enable policy makers to identify geographies that will have the hardest time to mitigate the health, social, and economic impacts of a disease like TB, and guide policy makers to the types of mitigation interventions they should be betting on,” she added. Machine learning and big data can also helpDespite being an airborne respiratory infection with high risk of occupational transmission, TB infection control has receivedin high-burden countries.
Routine use of personal protection equipment by healthcare workers, large-scale use of face masks by the public, better triaging and cohorting within health facilities, safer disposal of respiratory secretions, and advances in research into aerosols & airborne transmission can all help interrupt TB as well as Covid-19 transmission.
Since TB is primarily a disease of poverty and is highly correlated with social determinants such as malnutrition and poor housing, such social security benefits must be more widely available to all persons with TB, especially in low- and middle-income countries. A purely biomedical approach to TB is unlikely to succeed. In the same vein, greater engagement of communities most affected by TB is critical for success.
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