Decrease in Tuberculosis Cases during COVID-19 Pandemic as Reflected by Outpatient Pharmacy Data, United States, 2020
被引:9
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作者:
Winglee, Kathryn
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机构:
Ctr Dis Control & Prevent, Natl Ctr HIV Viral Hepatitis STD & TB Prevent, Div TB Eliminat, Atlanta, GA 30329 USACtr Dis Control & Prevent, Natl Ctr HIV Viral Hepatitis STD & TB Prevent, Div TB Eliminat, Atlanta, GA 30329 USA
Winglee, Kathryn
[1
]
Hill, Andrew N.
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机构:
Ctr Dis Control & Prevent, 1600 Clifton Rd NE,Mailstop US12-4, Atlanta, GA 30329 USACtr Dis Control & Prevent, Natl Ctr HIV Viral Hepatitis STD & TB Prevent, Div TB Eliminat, Atlanta, GA 30329 USA
Hill, Andrew N.
[2
]
Langer, Adam J.
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机构:
Ctr Dis Control & Prevent, 1600 Clifton Rd NE,Mailstop US12-4, Atlanta, GA 30329 USACtr Dis Control & Prevent, Natl Ctr HIV Viral Hepatitis STD & TB Prevent, Div TB Eliminat, Atlanta, GA 30329 USA
Langer, Adam J.
[2
]
Self, Julie L.
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h-index: 0
机构:
Ctr Dis Control & Prevent, 1600 Clifton Rd NE,Mailstop US12-4, Atlanta, GA 30329 USACtr Dis Control & Prevent, Natl Ctr HIV Viral Hepatitis STD & TB Prevent, Div TB Eliminat, Atlanta, GA 30329 USA
Self, Julie L.
[2
]
机构:
[1] Ctr Dis Control & Prevent, Natl Ctr HIV Viral Hepatitis STD & TB Prevent, Div TB Eliminat, Atlanta, GA 30329 USA
[2] Ctr Dis Control & Prevent, 1600 Clifton Rd NE,Mailstop US12-4, Atlanta, GA 30329 USA
We analyzed a pharmacy dataset to assess the 20% decline in tuberculosis (TB) cases reported to the US National Tuberculosis Surveillance System (NTSS) during the coronavirus disease pandemic in 2020 compared with the 2016-2019 average. We examined the correlation between TB medication dispensing data to TB case counts in NTSS and used a seasonal autoregressive integrated moving average model to predict expected 2020 counts. Trends in the TB medication data were correlated with trends in NTSS data during 2006-2019. There were fewer prescriptions and cases in 2020 than would be expected on the basis of previous trends. This decrease was particularly large during April-May 2020. These data are consistent with NTSS data, suggesting that under-reporting is not occurring but not ruling out underdiagnosis or actual decline. Understanding the mechanisms behind the 2020 decline in reported TB cases will help TB programs better prepare for postpandemic cases.