Donnie Mategula
Biographic Data
| ID | 9063651 |
|---|---|
| NAME | Donnie Mategula |
| GIVEN NAMES | Donnie |
| FAMILY NAME | Mategula |
| SIGNATURE | MATEGULA D |
| AFFILIATIONS | University of Liverpool |
| ORCID | 0000-0001-7109-9042 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Risk factors associated with Shigella diarrhea in 6–35-month-olds
Diarrhea due to Shigella causes 60,000 deaths annually among children under five in low- and middle-income countries. This Enterics for Global Health sub-study examined host, clinical, and environmental factors linked to Shigella -attributable diarrhea in Malawian children and assessed seasonal variations. Data from 1,399 children aged 6–35 months presenting with diarrhea at a health centre in Blantyre, Southern Malawi from August 3, 2022, throug…
Advancing Early Warning Systems for Malaria
Malaria Early Warning Systems (EWS) are predictive tools that often use climatic and other environmental variables to forecast malaria risk and trigger timely interventions. Despite their potential benefits, the development and implementation of malaria EWS face significant challenges and limitations. We reviewed the current evidence on malaria EWS, including their settings, methods, performance, actions, and evaluation. We conducted a comprehens…
Understanding the fine-scale heterogeneity and spatial drivers of malaria transmission in Kenya using model-based geostatistical methods
Malaria remains a public health concern. Monitoring the fine-scale heterogeneity of the malaria burden enables more targeted control efforts. Although malaria indicator surveys (MIS) have been crucial in evaluating the progress of malaria control interventions, they are only designed to provide a cross-sectional national and regional malaria disease burden. Recent advances in geostatistical methods allow us to interpolate national survey data to …
No prominent works on this page.
Understanding the fine-scale heterogeneity and spatial drivers of malaria transmission in Kenya using model-based geostatistical methods
Malaria remains a public health concern. Monitoring the fine-scale heterogeneity of the malaria burden enables more targeted control efforts. Although malaria indicator surveys (MIS) have been crucial in evaluating the progress of malaria control interventions, they are only designed to provide a cross-sectional national and regional malaria disease burden. Recent advances in geostatistical methods allow us to interpolate national survey data to …
Advancing Early Warning Systems for Malaria
Malaria Early Warning Systems (EWS) are predictive tools that often use climatic and other environmental variables to forecast malaria risk and trigger timely interventions. Despite their potential benefits, the development and implementation of malaria EWS face significant challenges and limitations. We reviewed the current evidence on malaria EWS, including their settings, methods, performance, actions, and evaluation. We conducted a comprehens…
Risk factors associated with Shigella diarrhea in 6–35-month-olds
Diarrhea due to Shigella causes 60,000 deaths annually among children under five in low- and middle-income countries. This Enterics for Global Health sub-study examined host, clinical, and environmental factors linked to Shigella -attributable diarrhea in Malawian children and assessed seasonal variations. Data from 1,399 children aged 6–35 months presenting with diarrhea at a health centre in Blantyre, Southern Malawi from August 3, 2022, throug…
Environmental health (2 works) · Malaria (2 works) · Malaria Research and Control (2 works) · Medicine (2 works) · Mosquito-borne diseases and control (2 works) · Akaike information criterion (1 work) · Biology (1 work) · Child Nutrition and Water Access (1 work) · Computer Science (1 work) · Diarrhea (1 work)