The effect of case management and vector-control interventions on space–time patterns of malaria incidence in Uganda
Abstract Background Electronic 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...
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ftdoajarticles:oai:doaj.org/article:4519990bfd754658899a449918049648 2023-05-15T15:18:58+02:00 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 2018-04-01T00:00:00Z https://doi.org/10.1186/s12936-018-2312-7 https://doaj.org/article/4519990bfd754658899a449918049648 EN eng BMC http://link.springer.com/article/10.1186/s12936-018-2312-7 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-018-2312-7 1475-2875 https://doaj.org/article/4519990bfd754658899a449918049648 Malaria Journal, Vol 17, Iss 1, Pp 1-11 (2018) Artemisinin-based combination therapy (ACT) Bayesian inference Conditional autoregressive (CAR) model District Health Information Software System version 2 (DHIS2) Malaria interventions Insecticide treated nets (ITN) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2018 ftdoajarticles https://doi.org/10.1186/s12936-018-2312-7 2022-12-31T12:47:01Z Abstract Background Electronic 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. Methods Bayesian 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. Results The 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 ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 17 1 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Artemisinin-based combination therapy (ACT) Bayesian inference Conditional autoregressive (CAR) model District Health Information Software System version 2 (DHIS2) Malaria interventions Insecticide treated nets (ITN) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
spellingShingle |
Artemisinin-based combination therapy (ACT) Bayesian inference Conditional autoregressive (CAR) model District Health Information Software System version 2 (DHIS2) Malaria interventions Insecticide treated nets (ITN) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Julius Ssempiira John Kissa Betty Nambuusi Carol Kyozira Damian Rutazaana Eddie Mukooyo Jimmy Opigo Fredrick Makumbi Simon Kasasa Penelope Vounatsou The effect of case management and vector-control interventions on space–time patterns of malaria incidence in Uganda |
topic_facet |
Artemisinin-based combination therapy (ACT) Bayesian inference Conditional autoregressive (CAR) model District Health Information Software System version 2 (DHIS2) Malaria interventions Insecticide treated nets (ITN) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract Background Electronic 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. Methods Bayesian 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. Results The 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 ... |
format |
Article in Journal/Newspaper |
author |
Julius Ssempiira John Kissa Betty Nambuusi Carol Kyozira Damian Rutazaana Eddie Mukooyo Jimmy Opigo Fredrick Makumbi Simon Kasasa Penelope Vounatsou |
author_facet |
Julius Ssempiira John Kissa Betty Nambuusi Carol Kyozira Damian Rutazaana Eddie Mukooyo Jimmy Opigo Fredrick Makumbi Simon Kasasa Penelope Vounatsou |
author_sort |
Julius Ssempiira |
title |
The effect of case management and vector-control interventions on space–time patterns of malaria incidence in Uganda |
title_short |
The effect of case management and vector-control interventions on space–time patterns of malaria incidence in Uganda |
title_full |
The effect of case management and vector-control interventions on space–time patterns of malaria incidence in Uganda |
title_fullStr |
The effect of case management and vector-control interventions on space–time patterns of malaria incidence in Uganda |
title_full_unstemmed |
The effect of case management and vector-control interventions on space–time patterns of malaria incidence in Uganda |
title_sort |
effect of case management and vector-control interventions on space–time patterns of malaria incidence in uganda |
publisher |
BMC |
publishDate |
2018 |
url |
https://doi.org/10.1186/s12936-018-2312-7 https://doaj.org/article/4519990bfd754658899a449918049648 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 17, Iss 1, Pp 1-11 (2018) |
op_relation |
http://link.springer.com/article/10.1186/s12936-018-2312-7 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-018-2312-7 1475-2875 https://doaj.org/article/4519990bfd754658899a449918049648 |
op_doi |
https://doi.org/10.1186/s12936-018-2312-7 |
container_title |
Malaria Journal |
container_volume |
17 |
container_issue |
1 |
_version_ |
1766349136072802304 |