Malaria Consortium Logo no strapline

Flood-linked locally led intervention and outbreak warning for malaria — FLLOW-M

Published:

Resources: Project brief

This research and implementation project aims to increase outbreak preparedness to reduce excess malaria morbidity in flood-prone communities in South Sudan and improve access to essential health services.

The FLLOW-M project will enable communities and the government to quickly detect malaria outbreaks by developing a digital early warning system using climate and health facility data. This should lead to quicker responses and reduced malaria morbidity. A qualitative study will identify needs, coping strategies and community-led solutions during floods.

Read the full project brief View on projects database
Share this page

Tagged under:

TH PB FLLOW M SS 2026

Related content

Publications Stormy skies

FORECAST: Forecasting outbreak risks from extreme climate with active surveillance technology

We are developing an early warning system to prepare for and control outbreaks of mosquito-borne diseases caused by extreme weather in Uganda.
Publications Graphic of sheets of white paper with blue-green lines of text

Seasonal climate patterns and their impact on mosquito net use in Nigeria: Evidence from repeated surveys

Seasonal patterns of temperature and rainfall affect the use of insecticide-treated nets to prevent malaria among households who already own a net. Perceived heat and an absence of mosquitoes were among the factors determining net use, according to the results of household surveys carried out throughout the year in Ondo state, Nigeria.
Publications 07250332 19 fhclimateartworkg

Adapting to minimise the health impacts of climatic changes

We believe it is essential to continue to incorporate responses to climate-related risks into our programmes.
Publications TH-CPo-ASTMH-2024-Aung

Space-time sensitive modelling of subclinical malaria prevalence at the village level in low burden areas of Myanmar using random forest models

In low-burden areas, village-level socio-demographic, climatic and environmental factors are not sufficient to reliably predict subclinical malaria rates. Incorporating temporal predictors in areas with higher malaria endemicity will likely improve model performance.
Publications 05220320 34 13 2024associatedimage

Strengthening national preparedness against arboviruses in Uganda: Advancing health sector resilience to tackle future public health threats

A holistic strategy that combines enhanced surveillance and community engagement can yield measurable improvements in arboviral disease prevention and treatment.
Publications NG Y6 176

Impact report 2025

We reflect on Malaria Consortium's key achievements in advancing malaria and public health programmes between April 2024 and March 2025 as part of collective efforts that demonstrate the continued commitment of partners and the growing resilience of health systems in the face of new challenges.
THIS IS A DEMO