Evidence map›Paper›PMID 25892858›Full record

ArticleMathematical modelling of natural phenomena2014

Coupling Vector-host Dynamics with Weather Geography and Mitigation Measures to Model Rift Valley Fever in Africa.

B H McMahon, C A Manore, J M Hyman, M X LaBute, J M Fair

Open access · bronzeAbstract read
In one paragraph

Article in Mathematical modelling of natural phenomena, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Knowledge mapping of risk mitigation measures against vector-borne diseases.EFSA journal. European Food Safety Authority · 2026
    Article
  3. Article
  4. Review
  5. Article
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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

5 authors at 3 institutions in 1 country.

B H McMahonLos Alamos National Laboratory, Theoretical Biology and Biophysics, Los Alamos, NM 87545.
C A ManoreDepartment of Mathematics, Tulane University, New Orleans, LA 70118 ; Center for Computational Science, Tulane University, New Orleans, LA 70118.
J M HymanDepartment of Mathematics, Tulane University, New Orleans, LA 70118.
M X LaButeLawrence Livermore National Laboratory, Applied Statistics Group - Computational Engineering Division, Mailstop L-174, 7000 East Ave. Livermore, CA 94550.
J M FairLos Alamos National Laboratory, Environmental Stewardship, K404, Los Alamos, NM 87545.
Los Alamos National Laboratory · USTulane University · USLawrence Livermore National Laboratory · US

Funding

Predicting vector-borne virus transmission dynamics and emergence potentialU01GM097661 · NIGMS · LOUISIANA STATE UNIV A&M COL BATON ROUGE · PI MORES, CHRISTOPHER · 2011 to 2015
$2.7M
NIGMS NIH HHS U01 GM097661
6 · The paper itself

Abstract

We present and characterize a multi-host epidemic model of Rift Valley fever (RVF) virus in East Africa with geographic spread on a network, rule-based mitigation measures, and mosquito infection and population dynamics. Susceptible populations are depleted by disease and vaccination and are replenished with the birth of new animals. We observe that the severity of the epidemics is strongly correlated with the duration of the rainy season and that even severe epidemics are abruptly terminated when the rain stops. Because naturally acquired herd immunity is established, total mortality across 25 years is relatively insensitive to many mitigation approaches. Strong reductions in cattle mortality are expected, however, with sufficient reduction in population densities of either vectors or susceptible (ie. unvaccinated) hosts. A better understanding of RVF epidemiology would result from serology surveys to quantify the importance of herd immunity in epidemic control, and sequencing of virus from representative animals to quantify the realative importance of transportation and local reservoirs in nucleating yearly epidemics. Our results suggest that an effective multi-layered mitigation strategy would include vector control, movement control, and vaccination of young animals yearly, even in the absence of expected rainfall.

Indexed as

epidemiologygeographymitigationnetwork modelrift valley fevervaccinationweather

Identifiers

PMID25892858
PMCPMC4398965
OpenAlexW2043820233

What OpenQuestion holds

Textmetadata
LicenceTDM
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.