ReviewInternational health2014
Mapping population and pathogen movements.
Review in International health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 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
55 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predicting the risk of malaria re-introduction in countries certified malaria-free: a systematic review.Malaria journal · 2023Pooled it
- Treatment Coverage Estimation for Mass Drug Administration for Malaria with Dihydroartemisinin-Piperaquine in Southern Province, Zambia.The American journal of tropical medicine and hygiene · 2020Trial
- Characterizing the impact of incorporating spatially aggregated human mobility data into infectious disease models.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Bringing environment back into human evolution: why human genetics needs genome-environment association studies.Human genetics · 2026Review
- Article
- How market integration impacts human disease ecology.Evolution, medicine, and public health · 2024Article
- Characterizing mobility patterns and malaria risk factors in semi-nomadic populations of Northern Kenya.PLOS global public health · 2024Article
- Uncovering spatial and social gaps in rural mobility via mobile phone big data.Scientific reports · 2023Article
- Characterizing human movement patterns using GPS data loggers in an area of persistent malaria in Zimbabwe along the Mozambique border.BMC infectious diseases · 2022Article
- COVID-19 contagion across remote communities in tropical forests.Scientific reports · 2022Article
- Infectious disease in an era of global change.Nature reviews. Microbiology · 2022Review
- Society organization, not pathogenic viruses, is the fundamental cause of pandemics.Environmental chemistry letters · 2022Article
- What effect might border screening have on preventing the importation of COVID-19 compared with other infections? A modelling study.Epidemiology and infection · 2021Article
- Article
- Article
- Why are there so few (or so many) circulating coronaviruses?Trends in immunology · 2021Review
- The Psychological Consequences of COVID-19 Pandemic in Tourism Sector: A Systematic Review.Iranian journal of public health · 2021Review
- Practical geospatial and sociodemographic predictors of human mobility.Scientific reports · 2021Article
- Analysing human population movement data for malaria control and elimination.Malaria journal · 2021Review
- Too afraid to Travel? Development of a Pandemic (COVID-19) Anxiety Travel Scale (PATS).Tourism management · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
For most of human history, populations have been relatively isolated from each other, and only recently has there been extensive contact between peoples, flora and fauna from both old and new worlds. The reach, volume and speed of modern travel are unprecedented, with human mobility increasing in high income countries by over 1000-fold since 1800. This growth is putting people at risk from the emergence of new strains of familiar diseases, and from completely new diseases, while ever more cases of the movement of both disease vectors and the diseases they carry are being seen. Pathogens and their vectors can now move further, faster and in greater numbers than ever before. Equally however, we now have access to the most detailed and comprehensive datasets on human mobility and pathogen distributions ever assembled, in order to combat these threats. This short review paper provides an overview of these datasets, with a particular focus on low income regions, and covers briefly approaches used to combine them to help us understand and control some of the negative effects of population and pathogen movements.
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.