Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China

Background Various measures taken against the COVID-19 pandemic are not only effective in reducing the spread of the disease, but also lead to some unexpected results. This article regarded these measures as an intervention and explored their impact on the incidence of tuberculosis in Shantou, China...
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Autor*in:	Su, Yaqian [verfasserIn] Chang, Qiaocheng [verfasserIn] Chen, Ruiming [verfasserIn] Chen, Zhuanghao [verfasserIn] Lin, Jianxiong [verfasserIn] Fu, Hui [verfasserIn] Cao, Zicheng [verfasserIn] Li, Liping [verfasserIn] Liu, Suyang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Tuberculosis Interrupted time series COVID-19 Intervention Pandemic Quarantine Lockdown

Anmerkung:	© The Author(s) 2024

Übergeordnetes Werk:	Enthalten in: BMC public health - BioMed Central, 2001, 24(2024), 1 vom: 30. Mai
Übergeordnetes Werk:	volume:24 ; year:2024 ; number:1 ; day:30 ; month:05

Links:	Volltext

DOI / URN:	10.1186/s12889-024-18956-2

Katalog-ID:	SPR056060319

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spelling	10.1186/s12889-024-18956-2 doi (DE-627)SPR056060319 (SPR)s12889-024-18956-2-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.00 bkl Su, Yaqian verfasserin aut Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background Various measures taken against the COVID-19 pandemic are not only effective in reducing the spread of the disease, but also lead to some unexpected results. This article regarded these measures as an intervention and explored their impact on the incidence of tuberculosis in Shantou, China. Methods The incidence rate and the surveillance data of tuberculosis from January 1st, 2018 to December 31st, 2021 were provided by the Shantou Tuberculosis Prevention and Control Institute. Data were divided into pre-pandemic period (January 1st, 2018 - December 31st, 2019) and pandemic periods (January 1st, 2020 - December 31st, 2021). The Interrupted Time Series (ITS) was used to analyze the trend of tuberculosis incidence prior to and during the COVID-19 epidemic. Results The results showed that the incidence of tuberculosis cases in Shantou decreased significantly (p < 0.05) during the pandemic as compared to that prior to the pandemic. Among them, the 45–64 age group and the 65 + age group have statistically significant declines. When patients were stratified by occupation, the unemployed and those working in agriculture reduced the most. Conclusions In response to the pandemic, measures like lockdowns and quarantines seem to have reduced tuberculosis incidence. However, this does not imply a true decrease. Underlying causes for the reduced true incidence need further scrutiny. Findings offer a preliminary exploration of interventions designed for one disease but functioning as unexpected results for another. Tuberculosis (dpeaa)DE-He213 Interrupted time series (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Pandemic (dpeaa)DE-He213 Quarantine (dpeaa)DE-He213 Lockdown (dpeaa)DE-He213 Chang, Qiaocheng verfasserin aut Chen, Ruiming verfasserin aut Chen, Zhuanghao verfasserin aut Lin, Jianxiong verfasserin aut Fu, Hui verfasserin aut Cao, Zicheng verfasserin aut Li, Liping verfasserin aut Liu, Suyang verfasserin aut Enthalten in BMC public health BioMed Central, 2001 24(2024), 1 vom: 30. Mai (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:24 year:2024 number:1 day:30 month:05 https://dx.doi.org/10.1186/s12889-024-18956-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.00 VZ AR 24 2024 1 30 05
allfields_unstemmed	10.1186/s12889-024-18956-2 doi (DE-627)SPR056060319 (SPR)s12889-024-18956-2-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.00 bkl Su, Yaqian verfasserin aut Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background Various measures taken against the COVID-19 pandemic are not only effective in reducing the spread of the disease, but also lead to some unexpected results. This article regarded these measures as an intervention and explored their impact on the incidence of tuberculosis in Shantou, China. Methods The incidence rate and the surveillance data of tuberculosis from January 1st, 2018 to December 31st, 2021 were provided by the Shantou Tuberculosis Prevention and Control Institute. Data were divided into pre-pandemic period (January 1st, 2018 - December 31st, 2019) and pandemic periods (January 1st, 2020 - December 31st, 2021). The Interrupted Time Series (ITS) was used to analyze the trend of tuberculosis incidence prior to and during the COVID-19 epidemic. Results The results showed that the incidence of tuberculosis cases in Shantou decreased significantly (p < 0.05) during the pandemic as compared to that prior to the pandemic. Among them, the 45–64 age group and the 65 + age group have statistically significant declines. When patients were stratified by occupation, the unemployed and those working in agriculture reduced the most. Conclusions In response to the pandemic, measures like lockdowns and quarantines seem to have reduced tuberculosis incidence. However, this does not imply a true decrease. Underlying causes for the reduced true incidence need further scrutiny. Findings offer a preliminary exploration of interventions designed for one disease but functioning as unexpected results for another. Tuberculosis (dpeaa)DE-He213 Interrupted time series (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Pandemic (dpeaa)DE-He213 Quarantine (dpeaa)DE-He213 Lockdown (dpeaa)DE-He213 Chang, Qiaocheng verfasserin aut Chen, Ruiming verfasserin aut Chen, Zhuanghao verfasserin aut Lin, Jianxiong verfasserin aut Fu, Hui verfasserin aut Cao, Zicheng verfasserin aut Li, Liping verfasserin aut Liu, Suyang verfasserin aut Enthalten in BMC public health BioMed Central, 2001 24(2024), 1 vom: 30. Mai (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:24 year:2024 number:1 day:30 month:05 https://dx.doi.org/10.1186/s12889-024-18956-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.00 VZ AR 24 2024 1 30 05
allfieldsGer	10.1186/s12889-024-18956-2 doi (DE-627)SPR056060319 (SPR)s12889-024-18956-2-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.00 bkl Su, Yaqian verfasserin aut Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background Various measures taken against the COVID-19 pandemic are not only effective in reducing the spread of the disease, but also lead to some unexpected results. This article regarded these measures as an intervention and explored their impact on the incidence of tuberculosis in Shantou, China. Methods The incidence rate and the surveillance data of tuberculosis from January 1st, 2018 to December 31st, 2021 were provided by the Shantou Tuberculosis Prevention and Control Institute. Data were divided into pre-pandemic period (January 1st, 2018 - December 31st, 2019) and pandemic periods (January 1st, 2020 - December 31st, 2021). The Interrupted Time Series (ITS) was used to analyze the trend of tuberculosis incidence prior to and during the COVID-19 epidemic. Results The results showed that the incidence of tuberculosis cases in Shantou decreased significantly (p < 0.05) during the pandemic as compared to that prior to the pandemic. Among them, the 45–64 age group and the 65 + age group have statistically significant declines. When patients were stratified by occupation, the unemployed and those working in agriculture reduced the most. Conclusions In response to the pandemic, measures like lockdowns and quarantines seem to have reduced tuberculosis incidence. However, this does not imply a true decrease. Underlying causes for the reduced true incidence need further scrutiny. Findings offer a preliminary exploration of interventions designed for one disease but functioning as unexpected results for another. Tuberculosis (dpeaa)DE-He213 Interrupted time series (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Pandemic (dpeaa)DE-He213 Quarantine (dpeaa)DE-He213 Lockdown (dpeaa)DE-He213 Chang, Qiaocheng verfasserin aut Chen, Ruiming verfasserin aut Chen, Zhuanghao verfasserin aut Lin, Jianxiong verfasserin aut Fu, Hui verfasserin aut Cao, Zicheng verfasserin aut Li, Liping verfasserin aut Liu, Suyang verfasserin aut Enthalten in BMC public health BioMed Central, 2001 24(2024), 1 vom: 30. Mai (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:24 year:2024 number:1 day:30 month:05 https://dx.doi.org/10.1186/s12889-024-18956-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.00 VZ AR 24 2024 1 30 05
allfieldsSound	10.1186/s12889-024-18956-2 doi (DE-627)SPR056060319 (SPR)s12889-024-18956-2-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.00 bkl Su, Yaqian verfasserin aut Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background Various measures taken against the COVID-19 pandemic are not only effective in reducing the spread of the disease, but also lead to some unexpected results. This article regarded these measures as an intervention and explored their impact on the incidence of tuberculosis in Shantou, China. Methods The incidence rate and the surveillance data of tuberculosis from January 1st, 2018 to December 31st, 2021 were provided by the Shantou Tuberculosis Prevention and Control Institute. Data were divided into pre-pandemic period (January 1st, 2018 - December 31st, 2019) and pandemic periods (January 1st, 2020 - December 31st, 2021). The Interrupted Time Series (ITS) was used to analyze the trend of tuberculosis incidence prior to and during the COVID-19 epidemic. Results The results showed that the incidence of tuberculosis cases in Shantou decreased significantly (p < 0.05) during the pandemic as compared to that prior to the pandemic. Among them, the 45–64 age group and the 65 + age group have statistically significant declines. When patients were stratified by occupation, the unemployed and those working in agriculture reduced the most. Conclusions In response to the pandemic, measures like lockdowns and quarantines seem to have reduced tuberculosis incidence. However, this does not imply a true decrease. Underlying causes for the reduced true incidence need further scrutiny. Findings offer a preliminary exploration of interventions designed for one disease but functioning as unexpected results for another. Tuberculosis (dpeaa)DE-He213 Interrupted time series (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Pandemic (dpeaa)DE-He213 Quarantine (dpeaa)DE-He213 Lockdown (dpeaa)DE-He213 Chang, Qiaocheng verfasserin aut Chen, Ruiming verfasserin aut Chen, Zhuanghao verfasserin aut Lin, Jianxiong verfasserin aut Fu, Hui verfasserin aut Cao, Zicheng verfasserin aut Li, Liping verfasserin aut Liu, Suyang verfasserin aut Enthalten in BMC public health BioMed Central, 2001 24(2024), 1 vom: 30. Mai (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:24 year:2024 number:1 day:30 month:05 https://dx.doi.org/10.1186/s12889-024-18956-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.00 VZ AR 24 2024 1 30 05
language	English
source	Enthalten in BMC public health 24(2024), 1 vom: 30. Mai volume:24 year:2024 number:1 day:30 month:05
sourceStr	Enthalten in BMC public health 24(2024), 1 vom: 30. Mai volume:24 year:2024 number:1 day:30 month:05
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Tuberculosis Interrupted time series COVID-19 Intervention Pandemic Quarantine Lockdown
dewey-raw	610
isfreeaccess_bool	true
container_title	BMC public health
authorswithroles_txt_mv	Su, Yaqian @@aut@@ Chang, Qiaocheng @@aut@@ Chen, Ruiming @@aut@@ Chen, Zhuanghao @@aut@@ Lin, Jianxiong @@aut@@ Fu, Hui @@aut@@ Cao, Zicheng @@aut@@ Li, Liping @@aut@@ Liu, Suyang @@aut@@
publishDateDaySort_date	2024-05-30T00:00:00Z
hierarchy_top_id	326643583
dewey-sort	3610
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This article regarded these measures as an intervention and explored their impact on the incidence of tuberculosis in Shantou, China. Methods The incidence rate and the surveillance data of tuberculosis from January 1st, 2018 to December 31st, 2021 were provided by the Shantou Tuberculosis Prevention and Control Institute. Data were divided into pre-pandemic period (January 1st, 2018 - December 31st, 2019) and pandemic periods (January 1st, 2020 - December 31st, 2021). The Interrupted Time Series (ITS) was used to analyze the trend of tuberculosis incidence prior to and during the COVID-19 epidemic. Results The results showed that the incidence of tuberculosis cases in Shantou decreased significantly (p < 0.05) during the pandemic as compared to that prior to the pandemic. Among them, the 45–64 age group and the 65 + age group have statistically significant declines. When patients were stratified by occupation, the unemployed and those working in agriculture reduced the most. Conclusions In response to the pandemic, measures like lockdowns and quarantines seem to have reduced tuberculosis incidence. However, this does not imply a true decrease. Underlying causes for the reduced true incidence need further scrutiny. 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author	Su, Yaqian
spellingShingle	Su, Yaqian ddc 610 bkl 44.00 misc Tuberculosis misc Interrupted time series misc COVID-19 misc Intervention misc Pandemic misc Quarantine misc Lockdown Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China
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topic_title	610 VZ 44.00 bkl Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China Tuberculosis (dpeaa)DE-He213 Interrupted time series (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Pandemic (dpeaa)DE-He213 Quarantine (dpeaa)DE-He213 Lockdown (dpeaa)DE-He213
topic	ddc 610 bkl 44.00 misc Tuberculosis misc Interrupted time series misc COVID-19 misc Intervention misc Pandemic misc Quarantine misc Lockdown
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title	Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China
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title_full	Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China
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author_browse	Su, Yaqian Chang, Qiaocheng Chen, Ruiming Chen, Zhuanghao Lin, Jianxiong Fu, Hui Cao, Zicheng Li, Liping Liu, Suyang
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title_sort	impact of covid-19 pandemic responses on tuberculosis incidence: insights from shantou, china
title_auth	Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China
abstract	Background Various measures taken against the COVID-19 pandemic are not only effective in reducing the spread of the disease, but also lead to some unexpected results. This article regarded these measures as an intervention and explored their impact on the incidence of tuberculosis in Shantou, China. Methods The incidence rate and the surveillance data of tuberculosis from January 1st, 2018 to December 31st, 2021 were provided by the Shantou Tuberculosis Prevention and Control Institute. Data were divided into pre-pandemic period (January 1st, 2018 - December 31st, 2019) and pandemic periods (January 1st, 2020 - December 31st, 2021). The Interrupted Time Series (ITS) was used to analyze the trend of tuberculosis incidence prior to and during the COVID-19 epidemic. Results The results showed that the incidence of tuberculosis cases in Shantou decreased significantly (p < 0.05) during the pandemic as compared to that prior to the pandemic. Among them, the 45–64 age group and the 65 + age group have statistically significant declines. When patients were stratified by occupation, the unemployed and those working in agriculture reduced the most. Conclusions In response to the pandemic, measures like lockdowns and quarantines seem to have reduced tuberculosis incidence. However, this does not imply a true decrease. Underlying causes for the reduced true incidence need further scrutiny. Findings offer a preliminary exploration of interventions designed for one disease but functioning as unexpected results for another. © The Author(s) 2024
abstractGer	Background Various measures taken against the COVID-19 pandemic are not only effective in reducing the spread of the disease, but also lead to some unexpected results. This article regarded these measures as an intervention and explored their impact on the incidence of tuberculosis in Shantou, China. Methods The incidence rate and the surveillance data of tuberculosis from January 1st, 2018 to December 31st, 2021 were provided by the Shantou Tuberculosis Prevention and Control Institute. Data were divided into pre-pandemic period (January 1st, 2018 - December 31st, 2019) and pandemic periods (January 1st, 2020 - December 31st, 2021). The Interrupted Time Series (ITS) was used to analyze the trend of tuberculosis incidence prior to and during the COVID-19 epidemic. Results The results showed that the incidence of tuberculosis cases in Shantou decreased significantly (p < 0.05) during the pandemic as compared to that prior to the pandemic. Among them, the 45–64 age group and the 65 + age group have statistically significant declines. When patients were stratified by occupation, the unemployed and those working in agriculture reduced the most. Conclusions In response to the pandemic, measures like lockdowns and quarantines seem to have reduced tuberculosis incidence. However, this does not imply a true decrease. Underlying causes for the reduced true incidence need further scrutiny. Findings offer a preliminary exploration of interventions designed for one disease but functioning as unexpected results for another. © The Author(s) 2024
abstract_unstemmed	Background Various measures taken against the COVID-19 pandemic are not only effective in reducing the spread of the disease, but also lead to some unexpected results. This article regarded these measures as an intervention and explored their impact on the incidence of tuberculosis in Shantou, China. Methods The incidence rate and the surveillance data of tuberculosis from January 1st, 2018 to December 31st, 2021 were provided by the Shantou Tuberculosis Prevention and Control Institute. Data were divided into pre-pandemic period (January 1st, 2018 - December 31st, 2019) and pandemic periods (January 1st, 2020 - December 31st, 2021). The Interrupted Time Series (ITS) was used to analyze the trend of tuberculosis incidence prior to and during the COVID-19 epidemic. Results The results showed that the incidence of tuberculosis cases in Shantou decreased significantly (p < 0.05) during the pandemic as compared to that prior to the pandemic. Among them, the 45–64 age group and the 65 + age group have statistically significant declines. When patients were stratified by occupation, the unemployed and those working in agriculture reduced the most. Conclusions In response to the pandemic, measures like lockdowns and quarantines seem to have reduced tuberculosis incidence. However, this does not imply a true decrease. Underlying causes for the reduced true incidence need further scrutiny. Findings offer a preliminary exploration of interventions designed for one disease but functioning as unexpected results for another. © The Author(s) 2024
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title_short	Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China
url	https://dx.doi.org/10.1186/s12889-024-18956-2
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author2	Chang, Qiaocheng Chen, Ruiming Chen, Zhuanghao Lin, Jianxiong Fu, Hui Cao, Zicheng Li, Liping Liu, Suyang
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