ArticleEcoHealth2018
Translating Predictions of Zoonotic Viruses for Policymakers.
Article in EcoHealth, 2018. 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.
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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Trends in mosquito species distribution modeling: insights for vector surveillance and disease control.Parasites & vectors · 2023Pooled it
- Modeling zoonotic and vector-borne viruses.Current opinion in virology · 2024Review
- Yellow fever in Ghana: Predicting emergence and ecology from historical outbreaks.medRxiv : the preprint server for health sciences · 2024Article
- Yellow fever in Ghana: Predicting emergence and ecology from historical outbreaks.PLOS global public health · 2024Article
- Low-density lipoprotein receptor-related protein 1 (LRP1) as an auxiliary host factor for RNA viruses.Life science alliance · 2023Article
- Rodent trapping studies as an overlooked information source for understanding endemic and novel zoonotic spillover.PLoS neglected tropical diseases · 2023Article
- Informing Rift Valley Fever preparedness by mapping seasonally varying environmental suitability.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020Article
- Regional vulnerability for COVID-19 in Cameroon.The Pan African medical journal · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
Recent outbreaks of Ebola virus disease and Zika virus disease highlight the need for disseminating accurate predictions of emerging zoonotic viruses to national governments for disease surveillance and response. Although there are published maps for many emerging zoonotic viruses, it is unknown if there is agreement among different models or if they are concordant with national expert opinion. Therefore, we reviewed existing predictions for five high priority emerging zoonotic viruses with national experts in Cameroon to investigate these issues and determine how to make predictions more useful for national policymakers. Predictive maps relied primarily on environmental parameters and species distribution models. Rift Valley fever virus and Crimean-Congo hemorrhagic fever virus predictions differed from national expert opinion, potentially because of local livestock movements. Our findings reveal that involving national experts could elicit additional data to improve predictions of emerging pathogens as well as help repackage predictions for policymakers.
Indexed as
Identifiers
29230614What OpenQuestion holds
Registered trials
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.