Tracking of Death Case So Flassa Feverout Breakinnig Eriausinga Modifiedewma Control Chart

Authors

Alabi Oluwapelumi

Department of Mathematics and Statistics, Rufus Giwa Polytechnic, Owo, Ondo State (Nigeria)

Olarinde Olawumi B

Department of Mathematics and Statistics, Rufus Giwa Polytechnic, Owo, Ondo State (Nigeria)

Kayode Olarewaju J

Department of Mathematics and Statistics, Rufus Giwa Polytechnic, Owo, Ondo State (Nigeria)

Omotoso Saliu A

Department of Mathematics and Statistics, Rufus Giwa Polytechnic, Owo, Ondo State (Nigeria)

Adeolu Abel

Department of Mathematics and Statistics, Rufus Giwa Polytechnic, Owo, Ondo State (Nigeria)

Article Information

DOI: 10.51244/IJRSI.2026.1315PH00172

Subject Category: Public Health

Volume/Issue: 13/15 | Page No: 3545-3553

Publication Timeline

Submitted: 2025-11-18

Accepted: 2025-11-18

Published: 2026-09-15

Abstract

LassafeverremainsarecurrentandendemicpublichealththreatinNigeria,withmortalitythatisoftenseasonal,over-dispersed,anddifficulttomonitorusingclassical,threshold-basedsurveillancemethods.ThisstudyappliedaModifiedExponentiallyWeightedMovingAverage(MEWMA)controlchart,developedbyKhanetal.(2017),tomonitorweeklyLassafeverdeathsinNigeriausingsurveillancedataobtainedfromtheNigeriaCentreforDiseaseControl(NCDC)coveringJanuary2021toSeptember2025(244weeks).In-controlprocessparameterswereestimatedfromabaselineperiod,andtheMEWMAstatisticwasconstructedusingthesmoothingparameterλ=0.2,controlchartcoefficientL=2.793,k=λ/2,andanominalin-controlAverageRunLength(ARL₀)of370.Descriptiveanalysisshowedthatweeklydeathswereapproximatelynormallydistributed,withnomarkedskewnessorextremeoutliers,whileatimeplotrevealednaturalfluctuationswithoutanimmediatelyobviouspattern.TheModifiedEWMAchart,however,detectedseveralstatisticallysignificantout-of-controlsignals,mostprominentlyin2024,indicatingperiodswhenLassafeverdeathsroseabovetheexpectedbaseline.Similar,lesspronouncedsignalswereobservedin2021,2022,2023,andearly2025,suggestingarecurringseasonalorperiodicoutbreakpattern.ThesefindingsdemonstratethattheModifiedEWMAchartisasensitiveandpracticalearly-warningtoolforLassafevermortalitysurveillanceinNigeria,anditsadoptionbypublichealthauthoritiescouldsupportmoretimelyoutbreakresponse.

Keywords

Lassafever; Modified EWM Acontrol chart; Statistical process control; Average Run Length

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