Routine data for malaria morbidity estimation in Africa: challenges and prospects
Background The burden of malaria in sub-Saharan Africa remains challenging to measure
relying on epidemiological modelling to evaluate the impact of investments and providing an …
relying on epidemiological modelling to evaluate the impact of investments and providing an …
Reinforcement learning methods in public health
Purpose Reinforcement learning (RL) is the subfield of machine learning focused on optimal
sequential decision making under uncertainty. An optimal RL strategy maximizes cumulative …
sequential decision making under uncertainty. An optimal RL strategy maximizes cumulative …
Sub-national stratification of malaria risk in mainland Tanzania: a simplified assembly of survey and routine data
Background Recent malaria control efforts in mainland Tanzania have led to progressive
changes in the prevalence of malaria infection in children, from 18.1%(2008) to 7.3%(2017) …
changes in the prevalence of malaria infection in children, from 18.1%(2008) to 7.3%(2017) …
Plasmodium falciparum parasite prevalence in East Africa: Updating data for malaria stratification
VA Alegana, PM Macharia, S Muchiri… - PLOS global public …, 2021 - journals.plos.org
The High Burden High Impact (HBHI) strategy for malaria encourages countries to use
multiple sources of available data to define the sub-national vulnerabilities to malaria risk …
multiple sources of available data to define the sub-national vulnerabilities to malaria risk …
Evaluating malaria prevalence and land cover across varying transmission intensity in Tanzania using a cross-sectional survey of school-aged children
Background Transmission of malaria in sub-Saharan Africa has become increasingly
stratified following decades of malaria control interventions. The extent to which …
stratified following decades of malaria control interventions. The extent to which …
Spatio-temporal modelling of routine health facility data for malaria risk micro-stratification in mainland Tanzania
SG Thawer, M Golumbeanu, S Lazaro, F Chacky… - Scientific Reports, 2023 - nature.com
As malaria transmission declines, the need to monitor the heterogeneity of malaria risk at
finer scales becomes critical to guide community-based targeted interventions. Although …
finer scales becomes critical to guide community-based targeted interventions. Although …
Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malaria
T Reiker, M Golumbeanu, A Shattock, L Burgert… - Nature …, 2021 - nature.com
Individual-based models have become important tools in the global battle against infectious
diseases, yet model complexity can make calibration to biological and epidemiological data …
diseases, yet model complexity can make calibration to biological and epidemiological data …
Effectiveness of the innovative 1, 7-malaria reactive community-based testing and response (1, 7-mRCTR) approach on malaria burden reduction in Southeastern …
Abstract Background In 2015, a China-UK-Tanzania tripartite pilot project was implemented
in southeastern Tanzania to explore a new model for reducing malaria burden and possibly …
in southeastern Tanzania to explore a new model for reducing malaria burden and possibly …
Malaria hospitalisation in East Africa: age, phenotype and transmission intensity
Background Understanding the age patterns of disease is necessary to target interventions
to maximise cost-effective impact. New malaria chemoprevention and vaccine initiatives …
to maximise cost-effective impact. New malaria chemoprevention and vaccine initiatives …
[HTML][HTML] Combining school-catchment area models with geostatistical models for analysing school survey data from low-resource settings: Inferential benefits and …
School-based sampling has been used to inform targeted responses for malaria and
neglected tropical diseases. Standard geostatistical methods for mapping disease …
neglected tropical diseases. Standard geostatistical methods for mapping disease …