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Malaria incidence among children less than 5 years during and after cessation of indoor residual spraying in Northern Uganda

Overview of attention for article published in Malaria Journal, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Malaria incidence among children less than 5 years during and after cessation of indoor residual spraying in Northern Uganda
Published in
Malaria Journal, August 2017
DOI 10.1186/s12936-017-1966-x
Pubmed ID
Authors

Allen E. Okullo, Joseph K. B. Matovu, Alex R. Ario, Jimmy Opigo, Humphrey Wanzira, David W. Oguttu, Joan N. Kalyango

Abstract

In June 2015, a malaria epidemic was confirmed in ten districts of Northern Uganda; after cessation of indoor residual spraying (IRS). Epidemic was defined as an increase in incidence per month beyond one standard deviation above mean incidence of previous 5 years. Trends in malaria incidence among children-under-5-years were analysed so as to describe the extent of change in incidence prior to and after cessation of IRS. Secondary data on out-patient malaria case numbers for children-under-5-years July 2012 to June 2015 was electronically extracted from the district health management information software2 (DHIS2) for ten districts that had IRS and ten control districts that didn't have IRS. Data was adjusted by reporting rates, cleaned by smoothing and interpolation and incidence of malaria per 1000 population derived. Population data obtained from 2002 and 2014 census reports. Data on interventions obtained from malaria programme reports, rainfall data obtained from Uganda National Meteorological Authority. Three groups of districts were created; two based on when IRS ended, the third not having IRS. Line graphs were plotted showing malaria incidence vis-à-vis implementation of IRS, mass net distribution and rainfall. Changes in incidence after withdrawal of IRS were obtained using incidence rate ratios (IRR). IRR was calculated as incidence for each month after the last IRS divided by incidence of the IRS month. Poisson regression was used to test statistical significance. Incidence of malaria declined between spray activities in districts that had IRS. Decline in IRR for 4 months after last IRS month was greater in the sprayed than control districts. On the seventh month following cessation of IRS, incidence in sprayed districts rose above that of the last spray month [1.74: 95% CI (1.40-2.15); and 1.26: 95% CI (1.05-1.51)]. Rise in IRR continued from 1.26 to 2.62 (95% CI 2.21-3.12) in June 2015 for districts that ended IRS in April 2014. Peak in rainfall occurred in May 2015. There was sustained control of malaria incidence during IRS implementation. Following withdrawal and peak in rainfall, incidence rose to epidemic proportions. This suggests a plausible link between the malaria epidemic, peak in rainfall and cessation of IRS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 23%
Student > Master 14 14%
Student > Bachelor 8 8%
Student > Ph. D. Student 8 8%
Student > Doctoral Student 3 3%
Other 9 9%
Unknown 35 35%
Readers by discipline Count As %
Medicine and Dentistry 15 15%
Nursing and Health Professions 11 11%
Agricultural and Biological Sciences 11 11%
Biochemistry, Genetics and Molecular Biology 4 4%
Environmental Science 4 4%
Other 13 13%
Unknown 42 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 August 2017.
All research outputs
#4,604,670
of 24,580,204 outputs
Outputs from Malaria Journal
#1,082
of 5,786 outputs
Outputs of similar age
#75,858
of 322,001 outputs
Outputs of similar age from Malaria Journal
#37
of 127 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,786 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,001 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.