Trends of Hepatitis A Virus Infection in Poland: Assessing the Potential Impact of the COVID-19 Pandemic and War in Ukraine
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Data Sources and HAV Infection Variables
2.3. Statistical Analyses
3. Results
3.1. General Epidemiology of HAV
3.2. Joinpoint Analysis of Long-Term Trends in New HAV Infections
3.3. HAV Infections during the COVID-19 Pandemic and Migration of War Refugees
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Rates of Newly Diagnosed Infection per 100,000 Population | |||||||
---|---|---|---|---|---|---|---|
Indicator | Men | Women | p-Value | ||||
Median | Minimum | Maximum | Median | Minimum | Maximum | ||
Total | 0.30 | 0.11 | 12.55 | 0.24 | 0.08 | 3.39 | 0.001 |
≤14 | 0.35 | 0.07 | 3.87 | 0.26 | 0.04 | 3.43 | 0.397 |
15–24 | 0.34 | 0.04 | 20.08 | 0.39 | 0.00 | 6.23 | 0.055 |
25–34 | 0.43 | 0.09 | 31.26 | 0.37 | 0.10 | 5.52 | 0.198 |
35–44 | 0.37 | 0.10 | 18.66 | 0.30 | 0.07 | 4.54 | 0.009 |
45–54 | 0.20 | 0.13 | 9.13 | 0.23 | 0.08 | 4.29 | 0.140 |
≥55 | 0.19 | 0.02 | 2.26 | 0.12 | 0.02 | 1.21 | 0.048 |
Urban areas | 0.39 | 0.13 | 18.07 | 0.29 | 0.07 | 4.27 | 0.002 |
Rural areas | 0.21 | 0.07 | 4.63 | 0.14 | 0.07 | 1.99 | 0.009 |
Indicator | Joinpoint Analysis to Identify Changes in Trends Over the Years 2009–2022 | AAPC | |||||
---|---|---|---|---|---|---|---|
Trend for Period 1 | APC | Trend for Period 2 | APC | Trend for Period 3 | APC | ||
MEN | |||||||
Total | 2009–2014 | −47.4 * (−71.0, −4.3) | 2014–2017 | 312.2 (−71.5, 5865.8) | 2017–2022 | −39.2 (−66.5, 10.6) | 6.6 (−15.0, 33.5) |
age ≤ 14 | 2009–2011 | −83.4 (−99.8, 921.4) | 2011–2018 | 68.3 (−16.1, 237.5) | 2018–2022 | −27.7 (−80.3, 165.6) | 13.7 (−6.8, 38.8) |
age 15–24 | 2009–2013 | −66.9 (−89.2, 1.6) | 2013–2017 | 240.4 (−42.2, 1906.4) | 2017–2022 | −38.7 (−72.3, 35.5) | 8.1 (−16.8, 40.4) |
age 25–34 | 2009–2014 | −54.9 * (−77.7, −8.6) | 2014–2017 | 388.1 (−79.1, 11,312.4) | 2017–2022 | −46.2 (−73.4, 8.9) | 2.3 (−21.6, 33.6) |
age 35–44 | 2009–2015 | −37.3 * (−59.1, −3.9) | 2015–2018 | 326.3 (−66.0, 5239.8) | 2018–2022 | −60.9 * (−82.4, 13.0) | 1.7 (−19.1, 28.0) |
age 45–54 | 2009–2015 | −27.9 (−54.3, 13.8) | 2015–2018 | 319.5 (−71.8, 6140.9) | 2018–2022 | −65.3 * (−85.2, −18.4) | 4.7 (−16.2, 40.7) |
age ≥ 55 | 2009–2013 | −49.8 (−76.4, 6.9) | 2013–2017 | 197.6 (−10.0, 883.4) | 2017–2022 | −23.1 (−54.9, 31.3) | 22.1 * (1.0, 47.5) |
Urban areas | 2009–2014 | −49.8 * (−70.9, −13.5) | 2014–2017 | 350.7 (−60.6, 5052.7) | 2017–2022 | −42.0 (−66.3, 0.1) | 6.1 (−15.9, 33.9) |
Rural areas | 2009–2015 | −30.1 (−62.5, 30.6) | 2015–2018 | 267.1 (−90.9, 14,655.4) | 2018–2022 | −50.1 (−84.5, 60.5) | 8.1 (−12.4, 33.5) |
WOMEN | |||||||
Total | 2009–2015 | −25.1 (−53.4, 20.5) | 2015–2018 | 237.3 (−79.7, 5496.4) | 2018–2022 | −49.1 (−79.1, 23.6) | 9.1 (−9.3, 31.2) |
age ≤ 14 | 2009–2015 | −39.5 (−63.9, 1.4) | 2015–2018 | 374.7 (−77.7, 9998.2) | 2018–2022 | −43.3 (−78.5, 49.0) | 13.2 (−9.6, 41.8) |
age 15–24 | 2009–2015 | −31.0 (−64.3, 33.0) | 2015–2018 | 360.9 (−90.5, 22,372.7) | 2018–2020 | −81.4 (−99.6, 809.2) | 11.7 (−16.5, 49.4) † |
age 25–34 | 2009–2015 | −23.7 (−55.1, 29.7) | 2015–2018 | 229.8 (−86.1, 7258.2) | 2018–2022 | −48.8 (−81.0, 38.1) | 8.4 (−10.3, 30.9) |
age 35–44 | 2009–2013 | −46.3 (−82.6, 66.3) | 2013–2018 | 119.5 (−29.1, 579.3) | 2018–2022 | −49.9 (−83.8, 55.1) | 9.3 (−9.7, 32.2) |
age 45–54 | 2009–2015 | −9.7 (−46.2, 51.4) | 2015–2018 | 227.1 (−84.7, 6878.7) | 2018–2022 | −53.7 (−82.4, 21.7) | 14.8 (−5.4, 39.3) |
age ≥ 55 | 2009–2015 | −22.3 (−48.5, 17.2) | 2015–2018 | 243.6 (−69.8, 3815.8) | 2018–2022 | −38.4 (−71.5, 32.9) | 16.8 (−2.1, 39.3) |
Urban areas | 2009–2015 | −27.1 (−52.6, 12.3) | 2015–2018 | 263.7 (−71.7, 4576.9) | 2018–2022 | −51.4 (−78.3, 9.0) | 9.2 (−10.0, 32.3) |
Rural areas | 2009–2015 | −23.3 (−58.0, 40.0) | 2015–2018 | 200.9 (−91.4, 10,466.8) | 2018–2022 | −43.8 (−81.8, 73.0) | 9.0 (−9.0, 30.6) |
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Rzymski, P.; Zarębska-Michaluk, D.; Genowska, A.; Tyszko, P.; Strukcinskiene, B.; Flisiak, R. Trends of Hepatitis A Virus Infection in Poland: Assessing the Potential Impact of the COVID-19 Pandemic and War in Ukraine. Viruses 2024, 16, 469. https://doi.org/10.3390/v16030469
Rzymski P, Zarębska-Michaluk D, Genowska A, Tyszko P, Strukcinskiene B, Flisiak R. Trends of Hepatitis A Virus Infection in Poland: Assessing the Potential Impact of the COVID-19 Pandemic and War in Ukraine. Viruses. 2024; 16(3):469. https://doi.org/10.3390/v16030469
Chicago/Turabian StyleRzymski, Piotr, Dorota Zarębska-Michaluk, Agnieszka Genowska, Piotr Tyszko, Birute Strukcinskiene, and Robert Flisiak. 2024. "Trends of Hepatitis A Virus Infection in Poland: Assessing the Potential Impact of the COVID-19 Pandemic and War in Ukraine" Viruses 16, no. 3: 469. https://doi.org/10.3390/v16030469
APA StyleRzymski, P., Zarębska-Michaluk, D., Genowska, A., Tyszko, P., Strukcinskiene, B., & Flisiak, R. (2024). Trends of Hepatitis A Virus Infection in Poland: Assessing the Potential Impact of the COVID-19 Pandemic and War in Ukraine. Viruses, 16(3), 469. https://doi.org/10.3390/v16030469