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Research ArticleOriginal Article
Open Access

Longitudinal analysis of foodborne disease outbreaks in Saudi Arabia

Trends and demographic patterns (2017-2023)

Hissah A. Alzahrani
Saudi Medical Journal May 2025, 46 (5) 507-514; DOI: https://doi.org/10.15537/smj.2025.46.5.20241010
Hissah A. Alzahrani
From the Department of Mathematics, Faculty of Applied Sciences, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia.
MD
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Article Figures & Data

Figures

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    Figure 1

    - The flow chart of the datasets and models are used in the study. FBDOs: foodborne disease outbreaks, SA: Saudi Arabia

  • Figure 2
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    Figure 2

    - Plots of foodborne disease outbreaks outcomes profiles through 2017-2023 in Saudi Arabia. FBDOS: foodborne disease outbreaks, SE: standard error

Tables

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    Table 1

    - The descriptives statistics for the outcomes of foodborne disease outbreaks through 2017-2023.

    Variables2017201820192020202120222023
    Counts of FBDOs
    Public source14.69±15.4814±15.8110.69±12.746±4.98.08±6.769.31±5.5715.31±23.02
    Home source15.08±12.6614.67±11.4610.77±9.684.31±3.335.92±3.844.23±3.397.46±5.98
    Counts of FBDOs cases
    Public source163.77±252.1497.15±111.8993.23±114.4978.38±88.9760.85±67.172.85±61.95110.62±134.68
    Home source77.77±68.3377.33±58.5653.31±45.9619.31±15.5626.54±15.718.54±13.5434.85±27.18
    Counts of FBDOs cases based on gender
    Male114.15±133.0788.38±88.6468.46±69.4556.92±58.4343.31±46.3248.38±35.9379.92±83.6
    Female127.38±150.2180.15±70.7278.08±68.8540.77±41.4444.08±38.6243±29.665.54±76.15
    Counts of FBDOs cases based on nationality
    SA168±145.12125.38±90.77112.15±113.3483.38±80.7773.69±69.2567.69±47.62105.08±135.61
    Non-SA73.54±148.2643.15±81.5734.38±53.1414.31±16.2413.69±1723.69±32.6740.38±62.52
    Counts of FBDOs cases based on age
    <1 years0.92±1.261.23±1.360.38±0.510.15±0.380.69±0.950.15±0.550.62±1.12
    1-4 years18.77±12.8319.31±17.4313±9.647.62±6.349.77±6.556.85±5.617.85±7.71
    5-19 years99.54±84.3267.85±49.6162±55.9936.31±29.1341.38±32.8738.54±28.6453.15±61.39
    20-49 years104.46±151.9367.15±74.0366.77±74.3750.62±65.5632±39.5139.46±28.772.92±85.5
    50+ years17.85±44.7713±31.574.38±5.243±4.163.54±4.146.38±14.2110.92±16.73

    Values are presented as mean ± standard deviation (SD). FBDOs: foodborne disease outbreaks, SA: Saudi Arabian

      • View popup
      Table 2

      - The generalized estimating equations models, the parameters estimation, p-values and relative risks used in the study.

      Variablesb±SEP-valuesRelative risks
      Y=counts of FBDOs, model 1
      Intercept2.858±0.258<0.0001†17.427
      Ref=public---
      Source=home-0.29±0.230.2070.749
      Ref=2017---
      Year=2018-0.061±0.0850.4730.941
      Year=2019-0.33±0.10.0009†0.719
      Year=2020-1.083±0.137<0.0001†0.339
      Year=2021-0.776±0.2020.0001†0.461
      Year=2022-0.836±0.112<0.0001†0.434
      Year=2023-0.315±0.2490.2060.73
      Y=counts of FBDOs cases, model 2
      Intercept5.181±0.294<0.0001†177.772
      Ref=public---
      Source=home-0.901±0.172<0.0001†0.407
      Ref=2017---
      Year=2018-0.236±0.1420.0966*0.791
      Year=2019-0.46±0.180.0104**0.632
      Year=2020-1.034±0.2780.0002†0.356
      Year=2021-1.036±0.2760.0002†0.356
      Year=2022-1.095±0.22<0.0001†0.335
      Year=2023-0.592±0.2280.0093†0.554
      Y=Counts of FBDOs cases based on gender, model 3
      Intercept4.832±0.303<0.0001†125.349
      Ref=male---
      Gender=female-0.07±0.050.16150.933
      Ref=2017---
      Year=2018-0.364±0.1750.0374**0.696
      Year=2019-0.5±0.2530.0482**0.607
      Year=2020-0.913±0.3670.0128**0.402
      Year=2021-1.019±0.3670.0055**0.362
      Year=2022-0.976±0.2730.0003†0.377
      Year=2023-0.513±0.2610.0491**0.6
      Y=counts of FBDOs cases based on nationality, model 4
      Intercept4.124±0.539<0.0001†61.788
      Ref=non-SA---
      Nationality=SA1.214±0.3150.0001†3.366
      Ref=2017---
      Year=2018-0.429±0.1820.0181**0.652
      Year=2019-0.6±0.2520.0172**0.549
      Year=2020-1.146±0.4250.0069**0.318
      Year=2021-1.24±0.4480.0056**0.29
      Year=2022-1.037±0.2720.0001†0.355
      Year=2023-0.545±0.1860.0033†0.58
      Y=counts of FBDOs cases based on age (years), model 5
      Intercept0.065±0.2380.78711DF.067
      Ref= age <1---
      Age=1-43.014±0.113<0.0001†20.369
      Age=5-194.591±0.115<0.0001†98.515
      Age=20-494.68±0.157<0.0001†107.749
      Age=50+2.598±0.437<0.0001†13.433
      Ref=2017---
      Year=2018-0.202±0.1550.19290.818
      Year=2019-0.649±0.280.0204**0.523
      Year=2020-1.089±0.3390.0013†0.337
      Year=2021-0.98±0.360.0065†0.376
      Year=2022-1.022±0.214<0.0001†0.36
      Year=2023-0.544±0.2280.0169**0.581

      FBDOs: foodborne disease outbreaks

      • ↵† Significant at p=0.005,

      • ↵** significant at p=0.05,

      • ↵* significant at p=0.10.

      • View popup
      Table 3

      - The generalized linear mixed models, the parameters estimation, p-values and relative risks used in the study.

      Variablesb±SEP-valuesRelative risks
      Y=counts of FBDOs, model 1
      Intercept2.572±0.214<0.0001†13.089
      Ref=public---
      Source=home-0.198±0.0920.0311**0.821
      Ref=2017---
      Year=2018-0.058±0.1560.71330.945
      Year=2019-0.355±0.1580.0259**0.702
      Year=2020-1.015±0.172<0.0001†0.363
      Year=2021-0.678±0.166<0.0001†0.508
      Year=2022-0.727±0.166<0.0001†0.484
      Year=2023-0.321±0.1590.045**0.726
      Y=counts of FBDOs cases, model 2
      Intercept4.9±0.235<0.0001†134.25
      Ref=public---
      Source=home-0.777±0.121<0.0001†0.461
      Ref=2017---
      Year=2018-0.262±0.2160.22530.77
      Year=2019-0.474±0.2140.0283**0.624
      Year=2020-0.939±0.222<0.0001†0.392
      Year=2021-0.949±0.218<0.0001†0.388
      Year=2022-0.916±0.219<0.0001†0.401
      Year=2023-0.615±0.2150.0048†0.541
      Y=counts of FBDOs cases based on gender, model 3
      Intercept4.597±0.232<0.0001†99.107
      Ref=male---
      Gender=female-0.062±0.0970.52970.941
      Ref=2017---
      Year=2018-0.424±0.1820.0205**0.655
      Year=2019-0.547±0.1830.0032†0.58
      Year=2020-0.843±0.191<0.0001†0.431
      Year=2021-0.944±0.187<0.0001†0.39
      Year=2022-0.813±0.187<0.0001†0.444
      Year=2023-0.598±0.1840.0013†0.551
      Y=counts of FBDOs cases based on nationality, model 4
      Intercept3.469±0.297<0.0001†32.079
      Ref=non-SA---
      Nationality=SA1.657±0.144<0.0001†5.24
      Ref=2017---
      Year=2018-0.483±0.2480.0525*0.618
      Year=2019-0.539±0.2490.0319**0.584
      Year=2020-0.888±0.2620.0009†0.412
      Year=2021-1.02±0.2570.0001†0.361
      Year=2022-0.798±0.2550.0021†0.451
      Year=2023-0.44±0.2490.0795*0.645
      Y=counts of FBDOs cases based on age (years), model 5
      Intercept-0.248±0.2720.38090.781
      Ref= age <1---
      Age=1-43.094±0.19<0.0001†22.061
      Age=5-194.664±0.187<0.0001†106.06
      Age=20-494.596±0.186<0.0001†98.999
      Age=50+2.329±0.192<0.0001†10.266
      Ref=2017---
      Year=2018-0.279±0.1510.0640*0.757
      Year=2019-0.569±0.1530.0002†0.567
      Year=2020-0.876±0.158<0.0001†0.417
      Year=2021-0.842±0.157<0.0001†0.432
      Year=2022-0.844±0.155<0.0001†0.431
      Year=2023-0.498±0.1530.0012†0.608

      FBDOs: foodborne disease outbreaks

      • ↵† Significant at p=0.005,

      • ↵** significant at p=0.05,

      • ↵* significant at p=0.10.

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    Longitudinal analysis of foodborne disease outbreaks in Saudi Arabia
    Hissah A. Alzahrani
    Saudi Medical Journal May 2025, 46 (5) 507-514; DOI: 10.15537/smj.2025.46.5.20241010

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    Longitudinal analysis of foodborne disease outbreaks in Saudi Arabia
    Hissah A. Alzahrani
    Saudi Medical Journal May 2025, 46 (5) 507-514; DOI: 10.15537/smj.2025.46.5.20241010
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