Article

Filling surveillance gaps: Bayesian INLA models for predicting tick distributions in data-sparse regions

2026-04-21

Abstract excerpt

Ticks impose major health and economic losses on the livestock sector of Pakistan, yet uncertainty-aware maps of tick burden remain scarce. We focused on the two most common disease transmitting tick species, Rhipicephalus microplus and Hyalomma anatolicum , to produce exposure-adjusted district-level abundance estimates and predictions for unsampled areas in Punjab and Khyber Pakhtunkhwa (KPK). We compiled hete...

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Literature Corpus work: b1345d31-e5b0-5d8b-94b0-dd92cf5a6f8c
DOI: 10.64898/2026.04.16.719086

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