2018
DOI: 10.1186/s12889-018-5539-x
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Modelling the impact of social protection on tuberculosis: the S-PROTECT project

Abstract: BackgroundTackling the social determinants of Tuberculosis (TB) through social protection is a key element of the post-2015 End TB Strategy. However, evidence informing policies are still scarce. Mathematical modelling has the potential to contribute to fill this knowledge gap, but existing models are inadequate. The S-PROTECT consortium aimed to develop an innovative mathematical modelling approach to better understand the role of social protection to improve TB care, prevention and control.MethodsS-PROTECT u… Show more

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Cited by 21 publications
(21 citation statements)
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“…The Social PROTection to Enhance the Control of Tuberculosis (S-PROTECT) group has developed a generalizable mathematical model to study the impact of social protection initiatives on national TB burden by improving nutrition. 53 The S-PROTECT model uses published data to look at the impact of cash transfers on intermediary factors such as socioeconomic situation, health service access, and food security, and in turn the impact of these factors on proximal determinants of health including undernutrition. Finally, it accounts for the impact of improved nutrition on TB progression, diagnosis, and treatment success.…”
Section: Catalyzing Policy Change and Improving Implementationmentioning
confidence: 99%
“…The Social PROTection to Enhance the Control of Tuberculosis (S-PROTECT) group has developed a generalizable mathematical model to study the impact of social protection initiatives on national TB burden by improving nutrition. 53 The S-PROTECT model uses published data to look at the impact of cash transfers on intermediary factors such as socioeconomic situation, health service access, and food security, and in turn the impact of these factors on proximal determinants of health including undernutrition. Finally, it accounts for the impact of improved nutrition on TB progression, diagnosis, and treatment success.…”
Section: Catalyzing Policy Change and Improving Implementationmentioning
confidence: 99%
“…India’s recent National Strategic Plan underlines the potential importance of ACF in risk groups such as urban slums 16 , while recent work in Viet Nam has also demonstrated the potential value of screening close contacts of diagnosed TB cases, together with longitudinal followup of these contacts 35 . However, it is also possible for the patient delay to be impacted by measures to improve the demand for TB services; for example, social protection mechanisms 36 could have the secondary effects of encouraging TB symptomatics to come forward for care 37 . Such effects are currently hypothetical, and present an important evidence gap for future studies to address.…”
Section: Discussionmentioning
confidence: 99%
“…Наиболее распространенными моделями, в которых использовались социальноэкономические факторы риска, были сравнительные модели динамической передачи ТБ среди населения и нединамические аналитические модели. Большинство исследований включали концептуальную основу для иллюстрации механики моделей и гипотез, лежащих в основе их исследовательских вопросов, и отражали основную особенность туберкулеза по сравнению с острыми инфекционными заболеваниями -наличие длительного латентного периода [38][39][40].…”
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