TY - JOUR
T1 - The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis
AU - Cilloni, Lucia
AU - Fu, Han
AU - Vesga, Juan F.
AU - Dowdy, David
AU - Pretorius, Carel
AU - Ahmedov, Sevim
AU - Nair, Sreenivas A.
AU - Mosneaga, Andrei
AU - Masini, Enos
AU - Sahu, Suvanand
AU - Arinaminpathy, Nimalan
N1 - Funding Information:
This work was supported by the Stop TB Partnership, and by USAID. NA gratefully acknowledges additional support from the Bill and Melinda Gates Foundation , and the UK Medical Research Council .
Funding Information:
This work was supported by the Stop TB Partnership, and by USAID. NA gratefully acknowledges additional support from the Bill and Melinda Gates Foundation, and the UK Medical Research Council. SS, SA, and NA conceived the study, and NA, DD, and CP designed the approach. SA, SAN, AM, EM, and SS provided expert input in constructing the model assumptions, and validated model findings. LC, HF, JFV, and CP performed the analysis, and all authors contributed to the interpretation. LC, HF, NA, and DD wrote a first draft of the manuscript, and all authors contributed to the final version. We gratefully acknowledge support from Sara Gonzalez Andino and Shinichi Takenaka from Stop TB Partnership, in the process of development of modelling assumptions.
Publisher Copyright:
© 2020 The Authors
PY - 2020/11
Y1 - 2020/11
N2 - Background: Routine services for tuberculosis (TB) are being disrupted by stringent lockdowns against the novel SARS-CoV-2 virus. We sought to estimate the potential long-term epidemiological impact of such disruptions on TB burden in high-burden countries, and how this negative impact could be mitigated. Methods: We adapted mathematical models of TB transmission in three high-burden countries (India, Kenya and Ukraine) to incorporate lockdown-associated disruptions in the TB care cascade. The anticipated level of disruption reflected consensus from a rapid expert consultation. We modelled the impact of these disruptions on TB incidence and mortality over the next five years, and also considered potential interventions to curtail this impact. Findings: Even temporary disruptions can cause long-term increases in TB incidence and mortality. If lockdown-related disruptions cause a temporary 50% reduction in TB transmission, we estimated that a 3-month suspension of TB services, followed by 10 months to restore to normal, would cause, over the next 5 years, an additional 1⋅19 million TB cases (Crl 1⋅06–1⋅33) and 361,000 TB deaths (CrI 333–394 thousand) in India, 24,700 (16,100–44,700) TB cases and 12,500 deaths (8.8–17.8 thousand) in Kenya, and 4,350 (826–6,540) cases and 1,340 deaths (815–1,980) in Ukraine. The principal driver of these adverse impacts is the accumulation of undetected TB during a lockdown. We demonstrate how long term increases in TB burden could be averted in the short term through supplementary “catch-up” TB case detection and treatment, once restrictions are eased. Interpretation: Lockdown-related disruptions can cause long-lasting increases in TB burden, but these negative effects can be mitigated with rapid restoration of TB services, and targeted interventions that are implemented as soon as restrictions are lifted.
AB - Background: Routine services for tuberculosis (TB) are being disrupted by stringent lockdowns against the novel SARS-CoV-2 virus. We sought to estimate the potential long-term epidemiological impact of such disruptions on TB burden in high-burden countries, and how this negative impact could be mitigated. Methods: We adapted mathematical models of TB transmission in three high-burden countries (India, Kenya and Ukraine) to incorporate lockdown-associated disruptions in the TB care cascade. The anticipated level of disruption reflected consensus from a rapid expert consultation. We modelled the impact of these disruptions on TB incidence and mortality over the next five years, and also considered potential interventions to curtail this impact. Findings: Even temporary disruptions can cause long-term increases in TB incidence and mortality. If lockdown-related disruptions cause a temporary 50% reduction in TB transmission, we estimated that a 3-month suspension of TB services, followed by 10 months to restore to normal, would cause, over the next 5 years, an additional 1⋅19 million TB cases (Crl 1⋅06–1⋅33) and 361,000 TB deaths (CrI 333–394 thousand) in India, 24,700 (16,100–44,700) TB cases and 12,500 deaths (8.8–17.8 thousand) in Kenya, and 4,350 (826–6,540) cases and 1,340 deaths (815–1,980) in Ukraine. The principal driver of these adverse impacts is the accumulation of undetected TB during a lockdown. We demonstrate how long term increases in TB burden could be averted in the short term through supplementary “catch-up” TB case detection and treatment, once restrictions are eased. Interpretation: Lockdown-related disruptions can cause long-lasting increases in TB burden, but these negative effects can be mitigated with rapid restoration of TB services, and targeted interventions that are implemented as soon as restrictions are lifted.
KW - Covid-19
KW - Epidemiology
KW - Mathematical modellingabstract
KW - Tuberculosis
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U2 - 10.1016/j.eclinm.2020.100603
DO - 10.1016/j.eclinm.2020.100603
M3 - Article
C2 - 33134905
AN - SCOPUS:85093941028
SN - 2589-5370
VL - 28
JO - EClinicalMedicine
JF - EClinicalMedicine
M1 - 100603
ER -