Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Sep 9:12:e18048.
doi: 10.7717/peerj.18048. eCollection 2024.

Burden changes in notifiable infectious diseases in Taiwan during the COVID-19 pandemic

Affiliations

Burden changes in notifiable infectious diseases in Taiwan during the COVID-19 pandemic

Ying-Fei Yang et al. PeerJ. .

Abstract

Background: This study aimed to assess the impact of the COVID-19 pandemic on the disease burden of Taiwan's notifiable infectious diseases (NIDs). We compared disease burdens between the pandemic and pre-pandemic year of 2020 (with non-pharmaceutical interventions (NPIs)) and 2010 (without NPIs), respectively, to understand the overall pandemic impact on NIDs in Taiwan.

Methods: Forty-three national NIDs were analyzed using the Statistics of Communicable Diseases and Surveillance Report by estimating the premature death and disability via different transmission categories, sex, and age groups. The study evaluated the impact of diseases by assessing the years lost due to death (YLLs), the duration of living with disability (YLDs), and the overall disability-adjusted life years (DALYs) by measuring both the severity of the illness and its duration.

Results: Taiwan recorded 1,577 (2010) and 1,260 (2020) DALYs per million population and lost 43 NIDs, decreasing 317 DALYs per million population. Tuberculosis, HIV/AIDS and acute hepatitis B/D were the leading causes of DALYs, accounting for 89% (2010) and 77% (2020).

Conclusion: Overall, this study provided the first insight of changes in disease burdens in NIDs between pre- and post-COVID-19 based on a nationwide viewpoint for further preventive measures and interventions to be focused on specific diseases by associated health administrations and policies.

Keywords: Disease burden; Non-pharmaceutical interventions (NPIs); Notifiable infectious diseases (NIDs); Public health; SARS-CoV-2.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1. (A, B) The number of cases of notifiable infectious diseases (NIDs) sorted by different modes of transmission and (C, D) their associated disability-adjusted life years (DALYs) per million populations in Taiwan in the year of 2010 and 2020. (E) The percentage of change in DALYs per million populations in the year of 2010 and 2020 by different modes of transmission.
The symbols indicate the airborne/droplet transmitted diseases (AD), sexually transmitted and blood-borne diseases (SB), fecal-oral transmitted diseases (FO), direct-contact transmitted diseases (DC), and vector-borne transmitted diseases (VB), respectively.
Figure 2
Figure 2. YLLs and YLDs for five modes of transmission of 43 notifiable infectious diseases (NIDs) in (A) 2010 and (B) 2020. Overall contribution percentage in (C) 2010 and (D) 2020. Burden change of disability-adjusted life years (DALYs) in 2010 and 2020 for specific (E) Gender/Mode of transmission and different. (F) Age groups.
Figure 3
Figure 3. DALYs estimation for airborne and droplet transmitted diseases of 14 NIDs in (A) 2020 and (B) 2010. Temporal variation in case numbers notified in Jan. to Dec. in 2010, compared to average cases in 2016–2019 (pre-pandemic) and 2020–2022 (pandemic), of a selection of infectious diseases including (C) Tuberculosis, (D) Influenza cases with severe complication, and (E) Invasive haemophilus influenza Type b infection.
The scale of the secondary vertical axis shows the average monthly cases of COVID-19. The formal classification “Severe Pneumonia with Novel Pathogens” refers to COVID-19.
Figure 4
Figure 4. DALYs estimation for sexually and blood-borne transmitted diseases of 5 NIDs in (A) 2020 and (B) 2010. Temporal variation in case numbers notified in Jan. to Dec. in 2010, compared to average cases in 2016–2019 (pre-pandemic) and 2020–2022 (pandemic), of a selection of infectious diseases (C) HIV/AIDS, (D) acute hepatitis B/D, and (E) acute hepatitis C.
The scale of the secondary vertical axis shows the average monthly cases of COVID-19.

Similar articles

References

    1. Abbafati C, AbAbbafati C, Abbas KM, Abbasi M. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1204–1222. doi: 10.1016/S0140-6736(20)30925-9. - DOI - PMC - PubMed
    1. Baker RE, Saad-Roy CM, Park SW, Farrar J, Metcalf CJE, Grenfell BT. Long-term benefits of nonpharmaceutical interventions for endemic infections are shaped by respiratory pathogen dynamics. Proceedings of the National Academy of Sciences of the United States of America. 2022;119(49):e2208895119. doi: 10.1073/pnas.2208895119. - DOI - PMC - PubMed
    1. Chen AP, Chu IY, Yeh ML, Chen YY, Lee CL, Lin HH, Chan YJ, Chen HP. Differentiating impacts of non-pharmaceutical interventions on non-coronavirus disease-2019 respiratory viral infections: hospital-based retrospective observational study in Taiwan. Influenza and Other Respiratory Viruses. 2021;15(4):478–487. doi: 10.1111/irv.12858. - DOI - PMC - PubMed
    1. Chen L, Wang L, Xing Y, Xie J, Su B, Geng M, Ren X, Zhang Y, Liu J, Ma T, Chen M, Miller JE, Dong Y, Song Y, Ma J, Sawyer S. Persistence and variation of the indirect effects of COVID-19 restrictions on the spectrum of notifiable infectious diseases in china: analysis of national surveillance among children and adolescents from 2018 to 2021. JMIR Public Health and Surveillance. 2024;10:e47626. doi: 10.2196/47626. - DOI - PMC - PubMed
    1. Cuschieri S, Calleja N, Devleesschauwer B, Wyper GMA. Estimating the direct Covid-19 disability-adjusted life years impact on the Malta population for the first full year. BMC Public Health. 2021;21(1):1827. doi: 10.1186/s12889-021-11893-4. - DOI - PMC - PubMed

Further Reading

    1. Birnie E, Virk HS, Savelkoel J, Spijker R, Bertherat E, Dance DAB, Limmathurotsakul D, Devleesschauwer B, Haagsma JA, Wiersinga WJ. Global burden of melioidosis in 2015: a systematic review and data synthesis. The Lancet Infectious Diseases. 2019;19(8):892–902. doi: 10.1016/S1473-3099(19)30157-4. - DOI - PMC - PubMed
    1. Cassini A, Colzani E, Pini A, Mangen MJ, Plass D, McDonald SA, Maringhini G, van Lier A, Haagsma JA, Havelaar AH, Kramarz P, Kretzschmar ME. Impact of infectious diseases on population health using incidence-based disability-adjusted life years (DALYs): results from the Burden of Communicable Diseases in Europe study, European Union and European Economic Area countries, 2009 to 2013. Eurosurveillance. 2018;23(16):17–00454. doi: 10.2807/1560-7917.ES.2018.23.16.17-00454. - DOI - PMC - PubMed
    1. Gallian P, Cabié A, Richard P, Paturel L, Charrel RN, Pastorino B, Leparc-Goffart I, Tiberghien P, de Lamballerie X. Zika virus in asymptomatic blood donors in Martinique. Blood. 2017;129(2):263–266. doi: 10.1182/blood-2016-09-737981. - DOI - PubMed
    1. Masresha BM, Biresaw HB, Moyehodie YA, Mulugeta SS. Time-to-disability determinants among leprosy patients enrolled for treatment at ALERT center, Addis Ababa, Ethiopia: a survival analysis. Infection and Drug Resistance. 2022;15:2729–2741. doi: 10.2147/IDR.S361799. - DOI - PMC - PubMed
    1. Ock M, Park B, Park H, Oh IH, Yoon SJ, Cho B, Jo MW. Disability weights measurement for 289 causes of disease considering disease severity in Korea. Journal of Korean Medical Science. 2019;34(Suppl 1):e60. doi: 10.3346/jkms.2019.34.e60. - DOI - PMC - PubMed

LinkOut - more resources