<p>Co-endemicity dataset for neglected tropical diseases in Kenya (2022).</p>

Domaine:

healthcare

Type de record:

dataset

Créateur:

NkuDam

Hôte:

The dataset contains implementation-unit level data for 290 administrative areas in Kenya used to assess the co-endemicity of major neglected tropical diseases (NTDs), including Lymphatic Filariasis (LF), Soil-Transmitted Helminth Infections (STH), and Schistosomiasis (SCH). The dataset includes geographic identifiers, demographic information, disease endemicity status, and environmental indicators relevant to disease transmission and control.

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Medicine Ecology Cancer Infectious Diseases Virology Computational Biology Biological Sciences not elsewhere classified sth prevalence levels optimize resource allocation neglected tropical diseases +36

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<p>NTDs co-endemicity status by region.</p>

Background

Neglected Tropical Diseases (NTDs) affect 1.5 billion people worldwide with

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Background

Neglected Tropical Diseases (NTDs) affect 1.5 billion people worldwide with

<p>Distribution of SCH endemicity levels.</p>

Background

Neglected Tropical Diseases (NTDs) affect 1.5 billion people worldwide with

<p>Distribution of STH endemicity levels.</p>

Background

Neglected Tropical Diseases (NTDs) affect 1.5 billion people worldwide with