Correction: Leveraging deep learning models to increase the representation of nomadic pastoralists in health campaigns and demographic surveillance

Authors

Stace Maples (ORCID: https://orcid.org/0000-0002-4917-3143)
James M. Hassell (ORCID: https://orcid.org/0000-0002-4710-2827)
Lance W. Robinson (ORCID: https://orcid.org/0000-0002-5224-8644)
Hannah Wild (ORCID: https://orcid.org/0000-0003-0974-0956)
Jessie Kong
Michèle Barry (ORCID: https://orcid.org/0000-0001-9629-3642)
Nathaniel Jensen (ORCID: https://orcid.org/0000-0002-2946-5771)
Francesco Pietro Fava (ORCID: https://orcid.org/0000-0003-3748-7417)
Luke Glowacki
Benjamin Liu
Sergio Charles
Philemon Chelanga

Publication Details

Journal: PLOS Global Public Health
Published: 2025-12-31
DOI: https://doi.org/10.1371/journal.pgph.0005757
Primary Topic: Zoonotic diseases and public health
Type: article
Field-Weighted Citation Impact: 0.00

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article

Correction: Leveraging deep learning models to increase the representation of nomadic pastoralists in health campaigns and demographic surveillance

Stace Maples, James M. Hassell, Lance W. Robinson, Hannah Wild et al.

Dec 31, 2025

PLOS Global Public Health

Zoonotic diseases and public health

article

Correction: Leveraging deep learning models to increase the representation of nomadic pastoralists in health campaigns and demographic surveillance

Stace Maples, James M. Hassell, Lance W. Robinson, Hannah Wild, Jessie Kong, Michèle Barry, Nathaniel Jensen, Francesco Pietro Fava, Luke Glowacki, Benjamin Liu, Sergio Charles, Philemon Chelanga

December 31, 2025article en

Abstract

No abstract available for this paper.

PLOS Global Public HealthVol. 5(12)

Openalex Percentile: Top 25%

Zoonotic diseases and public health

DOI Open Access PDF OpenAlex

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