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Incidence of pulmonary tuberculosis under the regular COVID-19 epidemic prevention and control in China.
Wu, Ziwei; Chen, Ziyi; Long, Siyu; Wu, Aiping; Wang, Hongsheng.
  • Wu Z; Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China.
  • Chen Z; Department of Health Toxicology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
  • Long S; Jiangsu Key Laboratory of Molecular and Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
  • Wu A; Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China.
  • Wang H; Suzhou Institute of Systems Medicine, Suzhou, 215123, Jiangsu, China.
BMC Infect Dis ; 22(1): 641, 2022 Jul 24.
Article in English | MEDLINE | ID: covidwho-1957049
ABSTRACT

BACKGROUND:

The COVID-19 pandemic has driven public health intervention strategies, including keeping social distance, wearing masks in crowded places, and having good health habits, to prevent the transmission of the novel coronavirus (SARS-CoV-2). However, it is unknown whether the use of these intervention strategies influences morbidity in other human infectious diseases, such as tuberculosis.

METHODS:

In this study, three prediction models were constructed to compare variations in PTB incidences after January 2020 without or with intervention includes strict and regular interventions, when the COVID-19 outbreak began in China. The non-interventional model was developed with an autoregressive integrated moving average (ARIMA) model that was trained with the monthly incidence of PTB in China from January 2005 to December 2019. The interventional model was established using an ARIMA model with a continuing intervention function that was trained with the monthly PTB incidence in China from January 2020 to December 2020.

RESULTS:

Starting with the assumption that no COVID-19 outbreak had occurred in China, PTB incidence was predicted, and then the actual incidence was compared with the predicted incidence. A remarkable overall decline in PTB incidence from January 2020 to December 2020 was observed, which was likely due to the potential influence of intervention policies for COVID-19. If the same intervention strategy is applied for the next 2 years, the monthly PTB incidence would reduce on average by about 1.03 per 100,000 people each month compared with the incidence predicted by the non-interventional model. The annual incidence estimated 59.15 under regular intervention per 100,000 in 2021, and the value would decline to 50.65 with strict interventions.

CONCLUSIONS:

Our models quantified the potential knock-on effect on PTB incidence of the intervention strategy used to control the transmission of COVID-19 in China. Combined with the feasibility of the strategies, these results suggested that continuous regular interventions would play important roles in the future prevention and control of PTB.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tuberculosis, Pulmonary / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: S12879-022-07620-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tuberculosis, Pulmonary / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: S12879-022-07620-y