Evidence map›Paper›PMID 25938429›Full record

ArticlePloS one2015

Estimating the Basic Reproductive Number (R0) for African Swine Fever Virus (ASFV) Transmission between Pig Herds in Uganda.

Mike B Barongo, Karl Ståhl, Bernard Bett, Richard P Bishop, Eric M Fèvre, Tony Aliro, Edward Okoth, Charles Masembe, Darryn Knobel, Amos Ssematimba

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
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  6. Review
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  15. Estimation of RViruses · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Estimation of basic reproduction number (RFrontiers in veterinary science · 2022
    Article
  20. Article
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

10 authors.

Mike B BarongoDepartment of Academic Registrar (ICT Division), Makerere University, Kampala, Uganda; International Livestock Research Institute, Nairobi, Kenya.
Karl StåhlDepartment of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.
Bernard BettInternational Livestock Research Institute, Nairobi, Kenya.
Richard P BishopInternational Livestock Research Institute, Nairobi, Kenya.
Eric M FèvreInternational Livestock Research Institute, Nairobi, Kenya.
Tony AliroMinistry of Agriculture, Animal Industry and Fisheries, Entebbe, Uganda.
Edward OkothInternational Livestock Research Institute, Nairobi, Kenya.
Charles MasembeDepartment of Biological Sciences, College of Natural and applied Sciences, Makerere University, Kampala, Uganda.
Darryn KnobelDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Pretoria, South Africa.
Amos SsematimbaInternational Livestock Research Institute, Nairobi, Kenya; Department of Mathematics, Faculty of Science, Gulu University, Gulu, Uganda.

Funding

Wellcome Trust
6 · The paper itself

Abstract

African swine fever (ASF) is a highly contagious, lethal and economically devastating haemorrhagic disease of domestic pigs. Insights into the dynamics and scale of virus transmission can be obtained from estimates of the basic reproduction number (R0). We estimate R0 for ASF virus in small holder, free-range pig production system in Gulu, Uganda. The estimation was based on data collected from outbreaks that affected 43 villages (out of the 289 villages with an overall pig population of 26,570) between April 2010 and November 2011. A total of 211 outbreaks met the criteria for inclusion in the study. Three methods were used, specifically; (i) GIS- based identification of the nearest infectious neighbour based on the Euclidean distance between outbreaks, (ii) epidemic doubling time, and (iii) a compartmental susceptible-infectious (SI) model. For implementation of the SI model, three approaches were used namely; curve fitting (CF), a linear regression model (LRM) and the SI/N proportion. The R0 estimates from the nearest infectious neighbour and epidemic doubling time methods were 3.24 and 1.63 respectively. Estimates from the SI-based method were 1.58 for the CF approach, 1.90 for the LRM, and 1.77 for the SI/N proportion. Since all these values were above one, they predict the observed persistence of the virus in the population. We hypothesize that the observed variation in the estimates is a consequence of the data used. Higher resolution and temporally better defined data would likely reduce this variation. This is the first estimate of R0 for ASFV in a free range smallholder pig keeping system in sub-Saharan Africa and highlights the requirement for more efficient application of available disease control measures.

Indexed as

African Swine Fever VirusBasic Reproduction NumberAfrican Swine FeverAnimalsDisease OutbreaksModels, StatisticalSeasonsSus scrofaSwineUganda

Identifiers

PMID25938429
PMCPMC4418717

What OpenQuestion holds

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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.