Predicting the impact of border control on malaria transmission: a simulated focal screen and treat campaign
Authored by Sheetal P Silal, Francesca Little, Karen I Barnes, Lisa J White
Date Published: 2015
DOI: 10.1186/s12936-015-0776-2
Sponsors:
Wellcome Trust
South African National Research Foundation (NRF)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Flow charts
Mathematical description
Model Code URLs:
Model code not found
Abstract
Background: South Africa is one of many countries committed to malaria
elimination with a target of 2018 and all malaria-endemic provinces, including Mpumalanga, are increasing efforts towards this ambitious
goal. The reduction of imported infections is a vital element of an
elimination strategy, particularly if a country is already experiencing
high levels of imported infections. Border control of malaria is one
tool that may be considered.
Methods: A metapopulation, non-linear stochastic ordinary differential
equation model is used to simulate malaria transmission in Mpumalanga
and Maputo province, Mozambique (the source of the majority of imported
infections) to predict the impact of a focal screen and treat campaign
at the Mpumalanga-Maputo border. This campaign is simulated by nesting
an individual-based model for the focal screen and treat campaign within
the metapopulation transmission model.
Results: The model predicts that such a campaign, simulated for
different levels of resources, coverage and take-up rates with a variety
of screening tools, will not eliminate malaria on its own, but will
reduce transmission substantially. Making the campaign mandatory
decreases transmission further though sub-patent infections are likely
to remain undetected if the diagnostic tool is not adequately sensitive.
Replacing screening and treating with mass drug administration results
in substantially larger decreases as all (including sub-patent)
infections are treated before movement into Mpumalanga.
Conclusions: The reduction of imported cases will be vital to any future
malaria control or elimination strategy. This simulation predicts that
FSAT at the Mpumalanga-Maputo border will be unable to eliminate local
malaria on its own, but may still play a key role in detecting and
treating imported infections before they enter the country. Thus FSAT
may form part of an integrated elimination strategy where a variety of
interventions are employed together to achieve malaria elimination.
Tags
Epidemiology
Elimination
Infectious-diseases
South-africa
Spread
Plasmodium-falciparum malaria
Mathematical-models
Burden
Amplification kit
Mozambique