komimensah/Climate-Sensitive-Competence-of-Phlebotomus-papatasi-for-Leishmania-major: v0.0 – ZCL climate risk manuscript

Domaine:

climatehealthcare

Type de record:

software

Créateur:

KOM

Éditeur:

Hôte:

This release contains the exact R code used to generate all analyses and figures reported in the manuscript on climate-driven transmission risk of zoonotic cutaneous leishmaniasis in North Africa.

All results correspond to the submitted version of the manuscript.

Association of Phlebotomus guggisbergi with Leishmania major and Leishmania tropica in a complex transmission setting for cutaneous leishmaniasis in Gilgil, Nakuru county, Kenya

komimensah/Climate-Driven-Potential-for-Tularemia-in-East-Africa

This project implements a fixed-effects panel model originally trained on U.S. tularemia data (2011–

Climate-Informed Deep Learning for Spatio-Temporal Forecasting of Climate-Sensitive Diseases

Abstract Background Effective public healt

Climate-Sensitive Infectious Diseases

⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suita

A proteomic map of the unsequenced kala-azar vector Phlebotomus papatasi using cell line

komimensah/Risk-Index-for-Maize-Stem-Borers-in-Malawi

We present a novel, trait-based risk index that integrates temperature driven demographic rates (dev