About: Travel Patterns in China

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Travel Patterns in China
Creator	Zhou, H Yu, H Garske, T Peng, Z Ye, M
Source	PMC
abstract	The spread of infectious disease epidemics is mediated by human travel. Yet human mobility patterns vary substantially between countries and regions. Quantifying the frequency of travel and length of journeys in well-defined population is therefore critical for predicting the likely speed and pattern of spread of emerging infectious diseases, such as a new influenza pandemic. Here we present the results of a large population survey undertaken in 2007 in two areas of China: Shenzhen city in Guangdong province, and Huangshan city in Anhui province. In each area, 10,000 randomly selected individuals were interviewed, and data on regular and occasional journeys collected. Travel behaviour was examined as a function of age, sex, economic status and home location. Women and children were generally found to travel shorter distances than men. Travel patterns in the economically developed Shenzhen region are shown to resemble those in developed and economically advanced middle income countries with a significant fraction of the population commuting over distances in excess of 50 km. Conversely, in the less developed rural region of Anhui, travel was much more local, with very few journeys over 30 km. Travel patterns in both populations were well-fitted by a gravity model with a lognormal kernel function. The results provide the first quantitative information on human travel patterns in modern China, and suggest that a pandemic emerging in a less developed area of rural China might spread geographically sufficiently slowly for containment to be feasible, while spatial spread in the more economically developed areas might be expected to be much more rapid, making containment more difficult.
has issue date	2011-02-02(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0016364
bibo:pmid	21311745
has license	cc-by
sha1sum (hex)	5206b0be1000e6c8d75a827af94c1b8e61e297c3
schema:url	https://doi.org/10.1371/journal.pone.0016364
resource representing a document's title	Travel Patterns in China
has PubMed Central identifier	PMC3032737
has PubMed identifier	21311745
schema:publication	PLoS One
resource representing a document's body	covid:5206b0be1000e6c8d75a827af94c1b8e61e297c3#body_text
is schema:about of	named entity 'CHINA' named entity 'PATTERNS' named entity 'journeys' named entity 'frequency' named entity 'Travel' named entity 'resemble' named entity 'journeys' named entity 'lognormal' named entity 'MIDDLE' named entity 'MODEL' named entity 'COMMUTING' named entity 'HUMAN TRAVEL' named entity 'CHILDREN' named entity 'FEASIBLE' named entity 'OCCASIONAL' named entity 'FRACTION OF' named entity 'INCOME' named entity 'PATTERN' named entity 'LIKELY' named entity 'LOCAL' named entity 'POPULATION' named entity 'AGE' named entity 'MUCH' named entity 'ECONOMICALLY' named entity 'SPEED' named entity 'LOCATION' named entity 'BEHAVIOUR' named entity 'EPIDEMICS' named entity 'GRAVITY' named entity 'SPREAD' named entity 'GENERALLY' named entity 'RAPID' named entity 'REGIONS' named entity 'ANHUI PROVINCE' named entity 'ADVANCED' named entity 'CONTAINMENT' named entity 'ECONOMIC STATUS' named entity 'EMERGING INFECTIOUS DISEASES' named entity '10%' named entity 'NEW' named entity 'RESULTS' named entity 'PROVIDE' named entity 'LENGTH' named entity 'SEX' named entity 'DATA' named entity 'MEN' named entity 'COUNTRIES' named entity 'SUGGEST' named entity 'REGULAR' named entity 'GUANGDONG PROVINCE' named entity 'HERE' named entity 'FITTED' named entity 'CHINA' named entity 'SPATIAL' named entity 'WOMEN' covid:arg/5206b0be1000e6c8d75a827af94c1b8e61e297c3 named entity 'LARGE' named entity 'TRAVEL' named entity 'CITY' named entity 'EXPECTED' named entity 'PRESENT' named entity 'DIFFICULT' named entity 'TRAVEL' named entity 'INFORMATION' named entity 'POPULATION SURVEY' named entity 'SELECTED' named entity 'PANDEMIC' named entity 'COLLECTED' named entity 'AREAS' named entity 'REGION' named entity 'PREDICTING' named entity 'AREA' named entity 'WELL-DEFINED' named entity 'DISTANCES' named entity 'CRITICAL' named entity 'RURAL' named entity 'QUANTITATIVE'

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