Evidence map›Paper›PMID 41184030›Full record

ArticleBMJ global health2025

Association between timeliness of detection, notification and response and the magnitude, severity and duration of disease outbreaks: a retrospective review of 84 outbreaks in Uganda, 2017-2022.

Sooyoung Kim, Joshua Kayiwa, Jane K Fieldhouse, Lydia Nakiire, Mohammed Lamorde, Issa Makumbi, Christopher T Lee

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sooyoung KimResolve to Saves Lives, New York, New York, USA.ORCID 0000-0001-8804-1162
Joshua KayiwaPublic Health Emergency Operations Centre, Republic of Uganda Ministry of Health, Kampala, Kampala, Uganda.ORCID 0000-0002-3720-8900
Jane K FieldhouseUC Davis, Davis, California, USA.
Lydia NakiireGlobal Health Security Program, Makerere University Infectious Diseases Institute, Kampala, Central, Uganda.ORCID 0000-0002-5633-8014
Mohammed LamordeResolve to Saves Lives, New York, New York, USA.
Issa MakumbiRepublic of Uganda Ministry of Health, Kampala, Kampala, Uganda.ORCID 0000-0003-3579-2485
Christopher T LeeResolve to Saves Lives, New York, New York, USA clee@rtsl.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTimely detection, notification and response are critical for mitigating outbreak impact, yet evidence linking timeliness to public health outcomes is limited.

methodsWe hypothesised that timely detection, notification and response are associated with a decrease in the magnitude (ie, cumulative cases and deaths), severity (ie, case fatality ratio) and outbreak duration (ie, days from outbreak start to end). Using data from 84 outbreaks reported in Uganda between 2017 and 2022, we calculated time from outbreak start to detection, detection to notification and notification to initial response. We used regression analysis to measure associations between timeliness indicators and outbreak outcomes, controlling for disease categories.

resultsLonger time to detection was associated with an increase in cases (effect size (ES) = 1.092; p=0.010) and deaths (ES=1.106; p<0.001) and with a longer duration (ES=1.032, p=0.019). A longer time to notification was associated with a lower number of cases (ES=0.935; p=0.002) and deaths (ES=0.961; p=0.024). Time to initial response showed no significant association with any outcome.

conclusionTimely detection is associated with fewer cases, deaths and shorter outbreaks. Outbreaks with high impact potential (ie, more cases and deaths) are notified faster, possibly reflecting a heightened sense of urgency among health workers. The findings highlight the importance of frameworks like 7-1-7 in enhancing outbreak response timeliness and improving public health outcomes.

Indexed as

Disease OutbreaksDisease NotificationHumansRetrospective StudiesTime FactorsUgandaDecision MakingGlobal HealthHealth policies and all other topicsHealth policyHealth services research

Identifiers

PMID41184030
PMCPMC12584571

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.