ArticlePLoS neglected tropical diseases2019
Dengue illness impacts daily human mobility patterns in Iquitos, Peru.
Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 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
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Pooled it
- Dengue vaccine acceptability in Peru: A mixed-methods study in two dengue-endemic Peruvian cities.PLoS neglected tropical diseases · 2026Article
- MoVe: an integrated tool to explore the relationship between human mobility and vector-borne disease.Scientific reports · 2026Article
- Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction.Scientific reports · 2025Article
- Little disease but lots of bites: social, urbanistic, and entomological risk factors of human exposure to Aedes aegypti in South Texas, U.S.PLoS neglected tropical diseases · 2024Article
- Human mobility and the infectious disease transmission: A systematic review.Geo-spatial information science = Diqui kongjian xinxi kexue xuebao · 2024Article
- Article
- Article
- Etiologies of Acute Undifferentiated Febrile Illnesses in and near Iquitos from 1993 to 1999 in the Amazon River Basin of Peru.The American journal of tropical medicine and hygiene · 2022Article
- Importance of Public Transport Networks for Reconciling the Spatial Distribution of Dengue and the Association of Socio-Economic Factors with Dengue Risk in Bangkok, Thailand.International journal of environmental research and public health · 2022Article
- Networks, cultures, and institutions: Toward a social immunology.Brain, behavior, & immunity - health · 2021Article
- The impact of dengue illness on social distancing and caregiving behavior.PLoS neglected tropical diseases · 2021Article
- Potential for community based surveillance of febrile diseases: Feasibility of self-administered rapid diagnostic tests in Iquitos, Peru and Phnom Penh, Cambodia.PLoS neglected tropical diseases · 2021Article
- Reconstructing unseen transmission events to infer dengue dynamics from viral sequences.Nature communications · 2021Article
- Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.PLoS computational biology · 2021Article
- Natural arbovirus infection rate and detectability of indoor female Aedes aegypti from Mérida, Yucatán, Mexico.PLoS neglected tropical diseases · 2021Article
- Migration rate estimation in an epidemic network.Applied mathematical modelling · 2021Article
- Heterogeneity of Dengue Illness in Community-Based Prospective Study, Iquitos, Peru.Emerging infectious diseases · 2020Article
- Correction: Dengue illness impacts daily human mobility patterns in Iquitos, Peru.PLoS neglected tropical diseases · 2020Article
- Effect of social isolation in dengue cases in the state of Sao Paulo, Brazil: An analysis during the COVID-19 pandemic.Travel medicine and infectious diseaseArticle
Corrections and comments
- Erratum issued
Authors and funding
14 authors at 7 institutions in 2 countries.
Funding
Abstract
backgroundHuman mobility plays a central role in shaping pathogen transmission by generating spatial and/or individual variability in potential pathogen-transmitting contacts. Recent research has shown that symptomatic infection can influence human mobility and pathogen transmission dynamics. Better understanding the complex relationship between symptom severity, infectiousness, and human mobility requires quantification of movement patterns throughout infectiousness. For dengue virus (DENV), human infectiousness peaks 0-2 days after symptom onset, making it paramount to understand human movement patterns from the beginning of illness. METHODOLOGY AND PRINCIPAL
findingsThrough community-based febrile surveillance and RT-PCR assays, we identified a cohort of DENV+ residents of the city of Iquitos, Peru (n = 63). Using retrospective interviews, we measured the movements of these individuals when healthy and during each day of symptomatic illness. The most dramatic changes in mobility occurred during the first three days after symptom onset; individuals visited significantly fewer locations (Wilcoxon test, p = 0.017) and spent significantly more time at home (Wilcoxon test, p = 0.005), compared to when healthy. By 7-9 days after symptom onset, mobility measures had returned to healthy levels. Throughout an individual's symptomatic period, the day of illness and their subjective sense of well-being were the most significant predictors for the number of locations and houses they visited. CONCLUSIONS/SIGNIFICANCE: Our study is one of the first to collect and analyze human mobility data at a daily scale during symptomatic infection. Accounting for the observed changes in human mobility throughout illness will improve understanding of the impact of disease on DENV transmission dynamics and the interpretation of public health-based surveillance data.
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.