ArticleProceedings. Biological sciences2016
Calling in sick: impacts of fever on intra-urban human mobility.
Article in Proceedings. Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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
24 citing papers in PubMed, 39 citations in OpenAlex.
- Non-household environments make a major contribution to dengue transmission: implications for vector control.Royal Society open science · 2025Article
- Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction.Scientific reports · 2025Article
- Characterizing mobility patterns and malaria risk factors in semi-nomadic populations of Northern Kenya.PLOS global public health · 2024Article
- Article
- Using GPS-enabled mobile phones to evaluate the associations between human mobility changes and the onset of influenza illness.Spatial and spatio-temporal epidemiology · 2022Article
- Model-based assessment of SARS-CoV-2 Delta variant transmission dynamics within partially vaccinated K-12 school populations.Lancet regional health. Americas · 2022Article
- Article
- Model-based assessment of SARS-CoV-2 Delta variant transmission dynamics within partially vaccinated K-12 school populations.medRxiv : the preprint server for health sciences · 2021Article
- The impact of dengue illness on social distancing and caregiving behavior.PLoS neglected tropical diseases · 2021Article
- School closures reduced social mixing of children during COVID-19 with implications for transmission risk and school reopening policies.Journal of the Royal Society, Interface · 2021Article
- Reconstructing unseen transmission events to infer dengue dynamics from viral sequences.Nature communications · 2021Article
- On the Threshold of Release of Confinement in an Epidemic SEIR Model Taking into Account the Protective Effect of Mask.Bulletin of mathematical biology · 2021Article
- Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.PLoS computational biology · 2021Article
- A Perspective on Inhabited Urban Space: Land Use and Occupation, Heat Islands, and Precarious Urbanization as Determinants of Territorial Receptivity to Dengue in the City of Rio De Janeiro.International journal of environmental research and public health · 2020Article
- Quality of hybrid location data drawn from GPS-enabled mobile phones: Does it matter?Transactions in GIS : TG · 2020Article
- Dengue illness impacts daily human mobility patterns in Iquitos, Peru.PLoS neglected tropical diseases · 2019Article
- Contrasting the value of targeted versus area-wide mosquito control scenarios to limit arbovirus transmission with human mobility patterns based on different tropical urban population centers.PLoS neglected tropical diseases · 2019Article
- An agent-based model of dengue virus transmission shows how uncertainty about breakthrough infections influences vaccination impact projections.PLoS computational biology · 2019Article
- Recent advances in understanding dengue.F1000Research · 2019Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 7 institutions in 2 countries.
Funding
Abstract
Pathogens inflict a wide variety of disease manifestations on their hosts, yet the impacts of disease on the behaviour of infected hosts are rarely studied empirically and are seldom accounted for in mathematical models of transmission dynamics. We explored the potential impacts of one of the most common disease manifestations, fever, on a key determinant of pathogen transmission, host mobility, in residents of the Amazonian city of Iquitos, Peru. We did so by comparing two groups of febrile individuals (dengue-positive and dengue-negative) with an afebrile control group. A retrospective, semi-structured interview allowed us to quantify multiple aspects of mobility during the two-week period preceding each interview. We fitted nested models of each aspect of mobility to data from interviews and compared models using likelihood ratio tests to determine whether there were statistically distinguishable differences in mobility attributable to fever or its aetiology. Compared with afebrile individuals, febrile study participants spent more time at home, visited fewer locations, and, in some cases, visited locations closer to home and spent less time at certain types of locations. These multifaceted impacts are consistent with the possibility that disease-mediated changes in host mobility generate dynamic and complex changes in host contact network structure.
Indexed as
Identifiers
What 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.