Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China.
Department of Health Toxicology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
BMC Infect Dis. 2022 Jul 24;22(1):641. doi: 10.1186/s12879-022-07620-y.
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.
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.
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.
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.
COVID-19 大流行推动了公共卫生干预策略,包括保持社交距离、在拥挤场所戴口罩和养成良好的健康习惯,以防止新型冠状病毒(SARS-CoV-2)的传播。然而,尚不清楚这些干预策略是否会影响其他人类传染病(如结核病)的发病率。
本研究构建了三个预测模型,以比较 2020 年 1 月没有或有干预措施(包括严格和定期干预措施)时,COVID-19 在中国爆发后肺结核发病率的变化。非干预模型是使用自回归综合移动平均(ARIMA)模型构建的,该模型是使用中国 2005 年 1 月至 2019 年 12 月每月肺结核发病率进行训练的。干预模型是使用带有持续干预功能的 ARIMA 模型建立的,该模型是使用中国 2020 年 1 月至 2020 年 12 月每月肺结核发病率进行训练的。
从假设中国没有 COVID-19 爆发开始,预测了肺结核发病率,然后将实际发病率与预测发病率进行比较。从 2020 年 1 月至 2020 年 12 月,观察到肺结核发病率显著下降,这可能是由于 COVID-19 干预政策的潜在影响。如果未来 2 年应用相同的干预策略,与非干预模型预测的发病率相比,每月肺结核发病率将平均减少约 1.03/100000 人。在 2021 年定期干预下,预计每年发病率为每 10 万人 59.15 例,严格干预下,这一数值将降至 50.65 例。
我们的模型量化了中国用于控制 COVID-19 传播的干预策略对肺结核发病率的潜在连锁效应。结合策略的可行性,这些结果表明,持续的定期干预将在未来的肺结核防控中发挥重要作用。