Evidence map›Paper›PMID 42871404›Full record

ArticleFrontiers in veterinary science2026

Epidemiological update on spatial and space-time clusters of African swine fever in the Philippines.

Jesper Chia-Hui Hsu, Rachel A Schambow, John M Humphreys, Maximino Montenegro, Ruth Miclat-Sonaco, Andres M Perez

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jesper Chia-Hui HsuCenter for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, Minneapolis, MN, United States.
Rachel A SchambowCenter for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, Minneapolis, MN, United States.
John M HumphreysU.S. Department of Agriculture, Agricultural Research Service, National Bio and Agro-Defense Facility, Manhattan, KS, United States.
Maximino MontenegroPig Improvement Company (PIC) Philippines, Pasig, Philippines.
Ruth Miclat-SonacoNational Livestock Program, Department of Agriculture, Office of the Undersecretary for Livestock, Quezon City, Philippines.
Andres M PerezCenter for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, Minneapolis, MN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever (ASF), particularly the highly contagious Genotype II strain, is a transboundary viral disease causing up to 100% mortality in swine and threatening food security across the Asia-Pacific region. Since 2019, control strategies in the Philippines have relied on depopulation and strict administrative zoning to limit contiguous, land-based spread. However, the long-term effectiveness of these approaches within the country's fragmented archipelagic landscape remains poorly understood, complicating evidence-based resource allocation and preparedness for regional vaccination campaigns. Here we show that the endemic trajectory of ASF was highly non-uniform across the three main island groups of the Philippines from October 2022 to October 2024. Spatiotemporal analysis of a national surveillance dataset comprising 8,213 barangay-level events revealed twelve statistically significant retrospective space-time clusters-with radii up to 183.2 kilometers-and highly asynchronous regional epidemic waves across Luzon, the Visayas, and Mindanao. Although crude case volumes were highest in Luzon (52.10%), followed by the Visayas (31.69%) and Mindanao (16.21%), accounting for swine population density reshaped the spatial distribution. Spatial mapping and a

Indexed as

African swine feverAsia-Pacificdisease dynamicGenotype IIspatial epidemiology

Identifiers

PMID42871404
PMCPMC13659439

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.