Evidence map›Paper›PMID 36224655›Full record

ArticleBMC public health2022

Malaria outbreak facilitated by increased mosquito breeding sites near houses and cessation of indoor residual spraying, Kole district, Uganda, January-June 2019.

Maureen Nabatanzi, Vivian Ntono, John Kamulegeya, Benon Kwesiga, Lilian Bulage, Bernard Lubwama, Alex R Ario, Julie Harris

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Factors Associated WithJournal of parasitology research · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Mosquito gene targeted RNAi studies for vector control.Functional & integrative genomics · 2023
    Review
  19. Molecular Mechanisms ofInternational journal of molecular sciences · 2023
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Maureen NabatanziUganda Public Health Fellowship Program, Ministry of Health, Kampala, Uganda. mnabatanzi@musph.ac.ug.
Vivian NtonoUganda Public Health Fellowship Program, Ministry of Health, Kampala, Uganda.
John KamulegeyaUganda Public Health Fellowship Program, Ministry of Health, Kampala, Uganda.
Benon KwesigaUganda Public Health Fellowship Program, Ministry of Health, Kampala, Uganda.
Lilian BulageUganda Public Health Fellowship Program, Ministry of Health, Kampala, Uganda.
Bernard LubwamaIntegrated Epidemiology, Surveillance and Public Health Emergencies Department, Ministry of Health, Kampala, Uganda.
Alex R ArioUganda Public Health Fellowship Program, Ministry of Health, Kampala, Uganda.
Julie HarrisUS Centers for Disease Control and Prevention, Kampala, Uganda.

Funding

CGH CDC HHS U2G GH001353
6 · The paper itself

Abstract

backgroundIn June 2019, surveillance data from the Uganda's District Health Information System revealed an outbreak of malaria in Kole District. Analysis revealed that cases had exceeded the outbreak threshold from January 2019. The Ministry of Health deployed our team to investigate the areas and people affected, identify risk factors for disease transmission, and recommend control and prevention measures.

methodsWe conducted an outbreak investigation involving a matched case-control study. We defined a confirmed case as a positive malaria test in a resident of Aboke, Akalo, Alito, and Bala sub-counties of Kole District January-June 2019. We identified cases by reviewing outpatient health records. Exposures were assessed in a 1:1 matched case-control study (n = 282) in Aboke sub-county. We selected cases systematically from 10 villages using probability proportionate to size and identified age- and village-matched controls. We conducted entomological and environmental assessments to identify mosquito breeding sites. We plotted epidemic curves and overlaid rainfall, and indoor residual spraying (IRS). Case-control exposures were combined into: breeding site near house, proximity to swamp and breeding site, and proximity to swamp; these were compared to no exposure in a logistic regression analysis.

resultsOf 18,737 confirmed case-patients (AR = 68/1,000), Aboke sub-county residents (AR = 180/1,000), children < 5 years (AR = 94/1,000), and females (AR = 90/1,000) were most affected. Longitudinal analysis of surveillance data showed decline in cases after an IRS campaign in 2017 but an increase after IRS cessation in 2018-2019. Overlay of rainfall and case data showed two malaria upsurges during 2019, occurring 35-42 days after rainfall increases. Among 141 case-patients and 141 controls, the combination of having mosquito breeding sites near the house and proximity to swamps increased the odds of malaria 6-fold (OR = 6.6, 95% CI = 2.24-19.7) compared to no exposures. Among 84 abandoned containers found near case-patients' and controls' houses, 14 (17%) had mosquito larvae. Adult Anopheles mosquitoes, larvae, pupae, and pupal exuviae were identified near affected houses.

conclusionStagnant water formed by increased rainfall likely provided increased breeding sites that drove this outbreak. Cessation of IRS preceded the malaria upsurges. We recommend re-introduction of IRS and removal of mosquito breeding sites in Kole District.

Indexed as

AnophelesDisease OutbreaksMalariaAnimalsBreedingCase-Control StudiesChild, PreschoolFemaleHousingHumansInsecticidesMosquito ControlUgandaWaterInsecticidesWaterIRSMalariaOutbreakStagnant waterUganda

Identifiers

PMID36224655
PMCPMC9554998

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.