Towards Kala-azar Elimination in Kenya: An Integrated Epidemiological and Modelling Approach

Value of the Information & Strength of the Argument

The presentation provides valuable insights into the epidemiological landscape of VL in Kenya, using granular data to identify hotspots and transmission drivers. The argumentation is solid, supported by data analysis and a mechanistic model. The speaker clearly explains the methodology and limitations, such as the reliance on health facility data which may miss asymptomatic cases. The modeling approach adds quantitative rigor, estimating R0 and the contribution of different infection states to transmission. The argument for targeted interventions based on incidence thresholds is well-structured and actionable.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high, with a clear methodology for data analysis and modeling. The speaker references a recent paper by ‘pin’ in Nature Reports for global maps, but the specific citation is not provided. The data sources are primarily health facility records, and the modeling is based on a SEIR-type framework. The title accurately reflects the content, which is an integrated approach combining epidemiological analysis and modeling. No external sources are cited in the description, but the presentation itself references collaborations with ministries and organizations.

The title accurately reflects the content, which focuses on an integrated epidemiological and modeling approach towards Kala-azar elimination in Kenya.

8/10

The presentation is based on a detailed analysis of health facility data from 2017-2025, with clear methodology and integration of epidemiological modeling. The speaker is a senior research fellow with relevant expertise. However, the data is not peer-reviewed and some conclusions rely on modeling assumptions.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 02:00Introduction by moderator Anin Janja, highlighting the 2025 surge with over 3,000 cases and 80 deaths.
• 05:00Dr. Omondi begins presentation, introducing visceral leishmaniasis and its global burden.
• 10:00Historical context of VL in Kenya, first reported in 1935, and emerging foci.
• 15:00Analysis of case data: 22 counties, 80 sub-counties, 184 wards; top counties account for 86.8% of burden.
• 20:00Granular analysis at sub-county and ward level, identifying 10 sub-counties with 65% of burden.
• 25:00Seasonality analysis showing peaks after rainy seasons with 2-6 month lag.
• 30:00Clinical presentation and case definition; 63% meet case definition, highlighting asymptomatic burden.
• 35:00Demographics: 66% male, 66% children under 14; case fatality rates and comorbidities.
• 40:00Introduction of the transmission model: SEIR with asymptomatic, PKDL, and vector components.
• 45:00Model results: R0=4.87, asymptomatic contribute 70% of transmission, hidden burden 89%.
• 50:00Framework for phased elimination: emergency, control, low endemic, elimination phases.

• Global leishmaniasis surveillance: 2021 update — Referenced for global burden and endemicity maps.

• WHO Leishmaniasis Fact Sheet — Provides global burden and transmission information consistent with the presentation.