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

Malar J. 2018 Apr 12;17(1):162. doi: 10.1186/s12936-018-2312-7.

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 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.

Conclusion: The 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.

Keywords: Artemisinin-based combination therapy (ACT); Bayesian inference; Conditional autoregressive (CAR) model; District Health Information Software System version 2 (DHIS2); Insecticide treated nets (ITN); Malaria interventions; Negative binomial.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Antimalarials / therapeutic use*
  • Artemisinins / therapeutic use*
  • Bayes Theorem
  • Case Management*
  • Child
  • Child, Preschool
  • Drug Combinations
  • Humans
  • Incidence
  • Infant
  • Infant, Newborn
  • Malaria / epidemiology*
  • Middle Aged
  • Mosquito Control*
  • Plasmodium / drug effects
  • Spatio-Temporal Analysis
  • Uganda / epidemiology
  • Young Adult

Substances

  • Antimalarials
  • Artemisinins
  • Drug Combinations
  • artemisinin