scholarly journals Use of Twitter Data to Improve Zika Virus Surveillance in the United States during the 2016 Epidemic

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Shahir Masri ◽  
Jianfeng Jia ◽  
Chen Li ◽  
Guofa Zhou ◽  
Ming-Chieh Lee ◽  
...  
Keyword(s):  
United States ◽  
Zika Virus ◽  
The United States ◽  
Virus Surveillance ◽  
Twitter Data

scholarly journals Use of Twitter data to improve Zika virus surveillance in the United States during the 2016 epidemic

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Shahir Masri ◽  
Jianfeng Jia ◽  
Chen Li ◽  
Guofa Zhou ◽  
Ming-Chieh Lee ◽  
...  
Keyword(s):  
United States ◽  
Zika Virus ◽  
The United States ◽  
Virus Surveillance ◽  
Twitter Data

scholarly journals The Zika Virus has Arrived in the United States

2016 ◽  
Vol 2 (1) ◽  
pp. e6-e7
Author(s):  
Susan Ricci ◽  
◽  
Keyword(s):  
United States ◽  
Zika Virus ◽  
The United States

scholarly journals Readiness for an Increase in Congenital Zika Virus Infections in the United States: Geographic Distance to Pediatric Subspecialist Care

2018 ◽  
Vol 13 (03) ◽  
pp. 476-486 ◽  
Author(s):  
Jeanne Bertolli ◽  
Joseph Holbrook ◽  
Nina D. Dutton ◽  
Bryant Jones ◽  
Nicole F. Dowling ◽  
...  
Keyword(s):  
United States ◽  
Zika Virus ◽  
Full Range ◽  
Geographic Distance ◽  
Virus Transmission ◽  
The United States ◽  
Travel Distance ◽  
Mosquito Vector ◽  
Children's Hospital ◽  
Children’S Hospital

ABSTRACTObjectiveThe study’s purpose was to investigate readiness for an increase in the congenital Zika infection (CZI) by describing the distribution of pediatric subspecialists needed for the care of children with CZI.MethodsWe applied county-level subspecialist counts to US maps, overlaying the geocoded locations of children’s hospitals to assess the correlation of hospital and subspecialist locations. We calculated travel distance from census tract centroids to the nearest in-state children’s hospital by state (with/without > 100 reported adult Zika virus cases) and by regions corresponding to the likely local Zika virus transmission area and to the full range of the mosquito vector. Travel distance percentiles reflect the population of children < 5 years old.ResultsOverall, 95% of pediatric subspecialists across the United States are located in the same county or neighboring county as a children’s hospital. In the states where Zika virus transmission is likely, 25% of children must travel more than 50 miles for subspecialty care; in one state, 50% of children must travel > 100 miles.ConclusionThe travel distance to pediatric subspecialty care varies widely by state and is likely to be an access barrier in some areas, particularly states bordering the Gulf of Mexico, which may have increasing numbers of CZI cases. (Disaster Med Public Health Preparedness. 2019;13:476-486)

scholarly journals Zika Virus Disease in Travelers Returning to the United States, 2010–2014

2016 ◽  
Vol 95 (1) ◽  
pp. 212-215 ◽  
Author(s):  
Morgan J. Hennessey ◽  
Marc Fischer ◽  
Amanda J. Panella ◽  
Robert S. Lanciotti ◽  
J. Erin Staples ◽  
...  
Keyword(s):  
United States ◽  
Zika Virus ◽  
Virus Disease ◽  
The United States

scholarly journals First Neonatal Demise with Travel-Associated Zika Virus Infection in the United States of America

2017 ◽  
Vol 07 (02) ◽  
pp. e68-e73 ◽  
Author(s):  
Nikolaos Zacharias ◽  
Janice Whitty ◽  
Sarah Noblin ◽  
Sophia Tsakiri ◽  
Jose Garcia ◽  
...  
Keyword(s):  
United States ◽  
Health Care ◽  
Virus Infection ◽  
Health Care System ◽  
United States Of America ◽  
Zika Virus ◽  
The United States ◽  
Zika Virus Infection ◽  
First Case ◽  
Care System

AbstractZika virus is increasingly recognized as a fetal pathogen worldwide. We describe the first case of neonatal demise with travel-associated Zika virus infection in the United States of America, including a novel prenatal ultrasound finding. A young Latina presented to our health care system in Southeast Texas for prenatal care at 23 weeks of gestation. Fetal Dandy–Walker malformation, asymmetric cerebral ventriculomegaly, single umbilical artery, hypoechoic fetal knee, dorsal foot edema, and mild polyhydramnios were noted upon initial screening prenatal sonography at 26 weeks. A growth-restricted, microcephalic, and arthrogrypotic infant was delivered alive at 36 weeks but died within an hour despite resuscitation. The neonatal karyotype was normal. Flavivirus IgM antibodies were identified in the serum of the puerpera, once she disclosed that she had traveled from El Salvador to Texas in the early second trimester. Zika virus was identified in the umbilical cord and neonatal brain. Fetal arthritis may precede congenital arthrogryposis in cases of Zika virus infection and may be detectable by prenatal sonography. Physician and health care system vigilance is required to optimally address the significant and enduring Zika virus global health threat.

scholarly journals Consensus and conflict among ecological forecasts of Zika virus outbreaks in the United States

2017 ◽  
Author(s):  
Colin J. Carlson ◽  
Eric Dougherty ◽  
Mike Boots ◽  
Wayne Getz ◽  
Sadie Ryan
Keyword(s):  
United States ◽  
Zika Virus ◽  
The United States ◽  
Ecological Models ◽  
Alternative Methods ◽  
Consensus Method ◽  
Epidemiological Models ◽  
Ecological Niche Models ◽  
Short Term ◽  
Post Hoc

ABSTRACTEcologists are increasingly involved in the pandemic prediction process. In the course of the Zika outbreak in the Americas, several ecological models were developed to forecast the potential global distribution of the disease. Conflicting results produced by alternative methods are unresolved, hindering the development of appropriate public health forecasts. We compare ecological niche models and experimentally-driven mechanistic forecasts for Zika transmission in the continental United States, a region of high model conflict. We use generic and uninformed stochastic county-level simulations to demonstrate the downstream epidemiological consequences of conflict among ecological models, and show how assumptions and parameterization in the ecological and epidemiological models propagate uncertainty and produce downstream model conflict. We conclude by proposing a basic consensus method that could resolve conflicting models of potential outbreak geography and seasonality. Our results illustrate the unacceptable and often undocumented margin of uncertainty that could emerge from using any one of these predictions without reservation or qualification. In the short term, ecologists face the task of developing better post hoc consensus that accurately forecasts spatial patterns of Zika virus outbreaks. Ultimately, methods are needed that bridge the gap between ecological and epidemiological approaches to predicting transmission and realistically capture both outbreak size and geography.

scholarly journals The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets (Preprint)

2020 ◽  
Author(s):  
Paiheng Xu ◽  
Mark Dredze ◽  
David A Broniatowski
Keyword(s):  
United States ◽  
South Carolina ◽  
Social Mobility ◽  
State Level ◽  
The United States ◽  
Mobility Index ◽  
Social Distancing ◽  
Mobility Data ◽  
Response Planning ◽  
Twitter Data

BACKGROUND Social distancing is an important component of the response to the COVID-19 pandemic. Minimizing social interactions and travel reduces the rate at which the infection spreads and “flattens the curve” so that the medical system is better equipped to treat infected individuals. However, it remains unclear how the public will respond to these policies as the pandemic continues. OBJECTIVE The aim of this study is to present the Twitter Social Mobility Index, a measure of social distancing and travel derived from Twitter data. We used public geolocated Twitter data to measure how much users travel in a given week. METHODS We collected 469,669,925 tweets geotagged in the United States from January 1, 2019, to April 27, 2020. We analyzed the aggregated mobility variance of a total of 3,768,959 Twitter users at the city and state level from the start of the COVID-19 pandemic. RESULTS We found a large reduction (61.83%) in travel in the United States after the implementation of social distancing policies. However, the variance by state was high, ranging from 38.54% to 76.80%. The eight states that had not issued statewide social distancing orders as of the start of April ranked poorly in terms of travel reduction: Arkansas (45), Iowa (37), Nebraska (35), North Dakota (22), South Carolina (38), South Dakota (46), Oklahoma (50), Utah (14), and Wyoming (53). We are presenting our findings on the internet and will continue to update our analysis during the pandemic. CONCLUSIONS We observed larger travel reductions in states that were early adopters of social distancing policies and smaller changes in states without such policies. The results were also consistent with those based on other mobility data to a certain extent. Therefore, geolocated tweets are an effective way to track social distancing practices using a public resource, and this tracking may be useful as part of ongoing pandemic response planning.

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