Identify future epidemic threshold and intensity for influenza-like illness in Iraq by using the moving epidemic method
© 2023 The Authors..
Objectives: Influenza-like illness (ILI) entered the Iraq surveillance system in 2021. The alert threshold was determined using the cumulative sum 2 method, which did not provide other characteristics. This study uses the moving epidemic method (MEM) to describe duration and estimate alert thresholds for ILI in Iraq for 2023-2024.
Methods: MEM default package was used to estimate influenza 2023-2024 epidemic thresholds. Analysis was repeated using optimum parameter of epidemic timing for fixed criteria method, which is 3.3. Arithmetic means and 95% confidence interval upper limit were used to estimate threshold. Geometric mean and 40%, 90%, and 97.3% confidence interval upper limits were used to estimate intensity levels. Aggregated Centers for Disease Control and Prevention surveillance data were used to detect epidemic thresholds, length, sensitivity, and predictive values.
Results: ILI activity starts at week 30 and lasts 7 weeks. Optimized epidemic threshold is 4513 cases, lower than default (4540 cases). Optimized medium-intensity level was higher than default, and high and very high-intensity levels were lower.
Conclusions: MEM is essential to determine an influenza epidemic's threshold and intensity levels. Despite requiring 3-5 years of data, using it on data for 2.5 years has resulted in an epidemic threshold slightly higher than the threshold calculated using the cumulative sum 2 method.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:10 |
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| Enthalten in: |
IJID regions - 10(2024) vom: 18. Jan., Seite 126-131 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Khaleel, Hanan Abdulghafoor [VerfasserIn] |
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| Links: |
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| Themen: |
Epidemic |
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| Anmerkungen: |
Date Revised 24.01.2024 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.ijregi.2023.12.005 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM367512017 |
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| 100 | 1 | |a Khaleel, Hanan Abdulghafoor |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Identify future epidemic threshold and intensity for influenza-like illness in Iraq by using the moving epidemic method |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
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| 500 | |a Date Revised 24.01.2024 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2023 The Authors. | ||
| 520 | |a Objectives: Influenza-like illness (ILI) entered the Iraq surveillance system in 2021. The alert threshold was determined using the cumulative sum 2 method, which did not provide other characteristics. This study uses the moving epidemic method (MEM) to describe duration and estimate alert thresholds for ILI in Iraq for 2023-2024 | ||
| 520 | |a Methods: MEM default package was used to estimate influenza 2023-2024 epidemic thresholds. Analysis was repeated using optimum parameter of epidemic timing for fixed criteria method, which is 3.3. Arithmetic means and 95% confidence interval upper limit were used to estimate threshold. Geometric mean and 40%, 90%, and 97.3% confidence interval upper limits were used to estimate intensity levels. Aggregated Centers for Disease Control and Prevention surveillance data were used to detect epidemic thresholds, length, sensitivity, and predictive values | ||
| 520 | |a Results: ILI activity starts at week 30 and lasts 7 weeks. Optimized epidemic threshold is 4513 cases, lower than default (4540 cases). Optimized medium-intensity level was higher than default, and high and very high-intensity levels were lower | ||
| 520 | |a Conclusions: MEM is essential to determine an influenza epidemic's threshold and intensity levels. Despite requiring 3-5 years of data, using it on data for 2.5 years has resulted in an epidemic threshold slightly higher than the threshold calculated using the cumulative sum 2 method | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Epidemic | |
| 650 | 4 | |a Flu | |
| 650 | 4 | |a Influenza | |
| 650 | 4 | |a Influenza-like illness (ILI) | |
| 650 | 4 | |a Moving epidemic method (MEM) | |
| 650 | 4 | |a Preparedness | |
| 700 | 1 | |a Alhilfi, Riyadh Abdulameer |e verfasserin |4 aut | |
| 700 | 1 | |a Rawaf, Salman |e verfasserin |4 aut | |
| 700 | 1 | |a Tabche, Celine |e verfasserin |4 aut | |
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