2022
DOI: 10.1038/s43856-022-00145-0
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Modeling the impact of COVID-19 on future tuberculosis burden

Abstract: Background The ongoing COVID-19 pandemic has greatly disrupted our everyday life, forcing the adoption of non-pharmaceutical interventions in many countries and putting public health services and healthcare systems worldwide under stress. These circumstances are leading to unintended effects such as the increase in the burden of other diseases. Methods Here, using a data-driven epidemiological model for tuberculosis (TB) spreading, we describe the … Show more

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Cited by 14 publications
(13 citation statements)
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References 46 publications
(47 reference statements)
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“…The quick spread of a deadly infection among a population represents a threat to public health systems, which requires immediate action and extra resources in order to mitigate and eventually control the impact of the associated disease on the population. However, interventions need to be carefully evaluated, as our society is a complex interdependent system in which mitigating the effects of one disease might result in non-desirable side effects such as the reduction of the services provided to both prevent and treat other diseases (22)(23)(24). To avoid these effects, scientists and policy-makers need computational resources that allow for a fast assessment of the possible outcome of interventions whenever pharmaceutical interventions, such as vaccination campaigns, are not possible.…”
Section: Discussionmentioning
confidence: 99%
“…The quick spread of a deadly infection among a population represents a threat to public health systems, which requires immediate action and extra resources in order to mitigate and eventually control the impact of the associated disease on the population. However, interventions need to be carefully evaluated, as our society is a complex interdependent system in which mitigating the effects of one disease might result in non-desirable side effects such as the reduction of the services provided to both prevent and treat other diseases (22)(23)(24). To avoid these effects, scientists and policy-makers need computational resources that allow for a fast assessment of the possible outcome of interventions whenever pharmaceutical interventions, such as vaccination campaigns, are not possible.…”
Section: Discussionmentioning
confidence: 99%
“…Focused efforts should estimate excess deaths from various non-COVID-19 causes during 2020-2023 and beyond, for example, from disruption of healthcare services regarding acute cardiovascular disease, 52 chronic diseases such as cancer, 53 reversal in progress on infectious diseases such as malaria 54 or tuberculosis, 55 hunger/ starvation, 56 mental health deterioration, 57 drug overdose epidemics 49 and diverse worsening circumstances. 58 The The proportion of deaths in residents of long-term facilities among reported COVID-19 deaths in 2020-2021 is estimated at 34% for the United States and 22% for Germany, 32 while it is likely to be negligible in India where long-term care facilities are very rare.…”
Section: Interpretation Of Excess Deathsmentioning
confidence: 99%
“…Focused efforts should estimate excess deaths from various non‐COVID‐19 causes during 2020–2023 and beyond, for example, from disruption of healthcare services regarding acute cardiovascular disease, 52 chronic diseases such as cancer, 53 reversal in progress on infectious diseases such as malaria 54 or tuberculosis, 55 hunger/starvation, 56 mental health deterioration, 57 drug overdose epidemics 49 and diverse worsening circumstances 58 . The quality of relevant data varies across countries and extrapolations require great caution.…”
Section: Causal (Mis)interpretation Of Excess Deathsmentioning
confidence: 99%
“…There is potential, however, to restore or even accelerate pre-pandemic declines in TB incidence, prevalence, and mortality, by undertaking interventions to find and treat more people with TB. Intensive case-finding efforts were shown to reduce the community prevalence of TB in certain pre-COVID clinical trials [10,11], and models estimate that case-finding can also overcome adverse effects of the COVID pandemic on TB burden [6,12]. Thus, it is possible that, in the context of ambitious TB case finding, TB prevalence could fall substantially from pre-pandemic levels.…”
Section: Introductionmentioning
confidence: 99%