Evidence map›Paper›PMID 32784444›Full record

ArticleVeterinary sciences2020

Identification of High-Risk Areas for the Spread of Highly Pathogenic Avian Influenza in Central Luzon, Philippines.

Roderick Salvador, Neil Tanquilut, Kannika Na Lampang, Warangkhana Chaisowwong, Dirk Pfeiffer, Veerasak Punyapornwithaya

Abstract read
In one paragraph

Article in Veterinary sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

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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.

Roderick SalvadorCollege of Veterinary Science and Medicine, Central Luzon State University, Science City of Muñoz 3120, Philippines.
Neil TanquilutCollege of Veterinary Medicine, Pampanga State Agricultural University, Pampanga 2011, Philippines.
Kannika Na LampangVeterinary Public Health and Food Safety Centre for Asia Pacific (VPHCAP), Faculty of Veterinary Medicine Chiang Mai University, Chiang Mai 50200, Thailand.
Warangkhana ChaisowwongVeterinary Public Health and Food Safety Centre for Asia Pacific (VPHCAP), Faculty of Veterinary Medicine Chiang Mai University, Chiang Mai 50200, Thailand.
Dirk PfeifferVeterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, London AL9 7TA, UK.ORCID 0000-0001-7000-0530
Veerasak PunyapornwithayaVeterinary Public Health and Food Safety Centre for Asia Pacific (VPHCAP), Faculty of Veterinary Medicine Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0001-9870-7773

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly pathogenic avian influenza virus (HPAIV) is a major problem in the poultry industry. It is highly contagious and is associated with a high mortality rate. The Philippines experienced an outbreak of avian influenza (AI) in 2017. As there is always a risk of re-emergence, efforts to manage disease outbreaks should be optimal. Linked to this is the need for an effective surveillance procedure to capture disease outbreaks at their early stage. Risk-based surveillance is the most effective and economical approach to outbreak management. This study evaluated the potential of commercial poultry farms in Central Luzon to transmit HPAI by calculating their respective reproductive ratios (R0). The reproductive number for each farm is based on the spatial kernel and the infectious period. A risk map has been created based on the calculated R

Indexed as

active surveillancehighly pathogenic avian influenzaPhilippinesrisk mapstransmission kernel

Identifiers

PMID32784444
PMCPMC7558439

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.