Evidence map›Paper›PMID 29650005›Full record

ArticleMalaria journal2018

The effect of case management and vector-control interventions on space-time patterns of malaria incidence in Uganda.

Julius Ssempiira, John Kissa, Betty Nambuusi, Carol Kyozira, Damian Rutazaana, Eddie Mukooyo, Jimmy Opigo, Fredrick Makumbi, Simon Kasasa, Penelope Vounatsou

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  8. Impact of Climate Variability and Interventions on Malaria Incidence and Forecasting in Burkina Faso.International journal of environmental research and public health · 2024
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  12. PLOS global public health · 2021
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  16. Malaria in Cambodia: A Retrospective Analysis of a Changing Epidemiology 2006-2019.International journal of environmental research and public health · 2021
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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

10 authors at 3 institutions in 2 countries.

Julius SsempiiraSwiss Tropical and Public Health Institute, Socinstrasse 57, 4051, Basel, Switzerland.
John KissaUganda Ministry of Health, Plot 6 Lourdel Road, P.O. Box 7272, Nakasero, Kampala, Uganda.
Betty NambuusiSwiss Tropical and Public Health Institute, Socinstrasse 57, 4051, Basel, Switzerland.
Carol KyoziraUganda Ministry of Health, Plot 6 Lourdel Road, P.O. Box 7272, Nakasero, Kampala, Uganda.
Damian RutazaanaUganda Ministry of Health, Plot 6 Lourdel Road, P.O. Box 7272, Nakasero, Kampala, Uganda.
Eddie MukooyoUganda Ministry of Health, Plot 6 Lourdel Road, P.O. Box 7272, Nakasero, Kampala, Uganda.
Jimmy OpigoUganda Ministry of Health, Plot 6 Lourdel Road, P.O. Box 7272, Nakasero, Kampala, Uganda.
Fredrick MakumbiMakerere University School of Public Health, New Mulago Hospital Complex, P.O Box 7072, Kampala, Uganda.
Simon KasasaMakerere University School of Public Health, New Mulago Hospital Complex, P.O Box 7072, Kampala, Uganda.
Penelope VounatsouSwiss Tropical and Public Health Institute, Socinstrasse 57, 4051, Basel, Switzerland. penelope.vounatsou@swisstph.ch.ORCID http://orcid.org/0000-0002-4904-5352
Ministry of Health · UGSwiss Tropical and Public Health Institute · CHMulago Hospital · UG

Funding

European Research Council (ERC) 323180Swiss Programme for Research on Global Issues for Development (r4d) IZ01Z0-147286
6 · The paper itself

Abstract

backgroundElectronic reporting of routine health facility data in Uganda began with the adoption of the District Health Information Software System version 2 (DHIS2) in 2011. This has improved health facility reporting and overall data quality. In this study, the effects of case management with artemisinin-based combination therapy (ACT) and vector control interventions on space-time patterns of disease incidence were determined using DHIS2 data reported during 2013-2016.

methodsBayesian spatio-temporal negative binomial models were fitted on district-aggregated monthly malaria cases, reported by two age groups, defined by a cut-off age of 5 years. The effects of interventions were adjusted for socio-economic and climatic factors. Spatial and temporal correlations were taken into account by assuming a conditional autoregressive and a first-order autoregressive AR(1) process on district and monthly specific random effects, respectively. Fourier trigonometric functions were incorporated in the models to take into account seasonal fluctuations in malaria transmission.

resultsThe temporal variation in incidence was similar in both age groups and depicted a steady decline up to February 2014, followed by an increase from March 2015 onwards. The trends were characterized by a strong bi-annual seasonal pattern with two peaks during May-July and September-December. Average monthly incidence in children < 5 years declined from 74.7 cases (95% CI 72.4-77.1) in 2013 to 49.4 (95% CI 42.9-55.8) per 1000 in 2015 and followed by an increase in 2016 of up to 51.3 (95% CI 42.9-55.8). In individuals ≥ 5 years, a decline in incidence from 2013 to 2015 was followed by an increase in 2016. A 100% increase in insecticide-treated nets (ITN) coverage was associated with a decline in incidence by 44% (95% BCI 28-59%). Similarly, a 100% increase in ACT coverage reduces incidence by 28% (95% BCI 11-45%) and 25% (95% BCI 20-28%) in children < 5 years and individuals ≥ 5 years, respectively. The ITN effect was not statistically important in older individuals. The space-time patterns of malaria incidence in children < 5 are similar to those of parasitaemia risk predicted from the malaria indicator survey of 2014-15.

conclusionThe decline in malaria incidence highlights the effectiveness of vector-control interventions and case management with ACT in Uganda. This calls for optimizing and sustaining interventions to achieve universal coverage and curb reverses in malaria decline.

Indexed as

Case ManagementMosquito ControlAdolescentAdultAgedAged, 80 and overAntimalarialsArtemisininsBayes TheoremChildChild, PreschoolDrug CombinationsHumansIncidenceInfantInfant, NewbornAntimalarialsartemisininArtemisininsDrug CombinationsArtemisinin-based combination therapy (ACT)Bayesian inferenceConditional autoregressive (CAR) modelDistrict Health Information Software System version 2 (DHIS2)Insecticide treated nets (ITN)Malaria interventionsNegative binomial

Identifiers

PMID29650005
PMCPMC5898071
OpenAlexW2805306739

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.