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Record W2903032797 · doi:10.1093/ofid/ofy210.443

433. Impact of Malaria Prophylaxis on Risk of Travelers’ Diarrhea Among International Travelers

2018· article· en· W2903032797 on OpenAlexaboutno aff
Kathryn Lago, Kalyani Telu, David R. Tribble, Anuradha Ganesan, Anjali Kunz, Charla Geist, Jamie Fraser, Indrani Mitra, Tahaniyat Lalani, Heather C. Yun

Bibliographic record

VenueOpen Forum Infectious Diseases · 2018
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMalariaMalaria prophylaxisTraveler's diarrheaIncidence (geometry)DiarrheaTravel medicinePoisson regressionPediatricsDemographyEnvironmental healthInternal medicinePopulationImmunology

Abstract

fetched live from OpenAlex

International travelers are often at risk for travelers’ diarrhea (TD) and malaria. Doxycycline has activity against pathogens causing TD but hasn’t been used as TD prophylaxis since the 1980s when resistance emerged. We evaluated the incidence of and risk factors for TD, and whether the choice of malaria prophylaxis was associated with risk of TD. TravMil is a prospective observational study enrolling subjects presenting to six military travel clinics. We analyzed pre- and post- travel surveys from travelers to regions outside of the continental United States, Western or Northern Europe, Canada or New Zealand between July 2010 and August 2018. TD was defined as ≥3 loose stools in a 24-hour period or two liquid or loose stools in a 24-hour period and ≥1 of the following: nausea, vomiting, abdominal pain, fever, or bloody stool. Characteristics of trip and traveler, and use of malaria prophylaxis (doxycycline, other, and none) were analyzed to determine risk factors for TD. A Poisson regression model with robust error variance was used to estimate relative risk of TD. A total of 3,227 travelers enrolled: 62.1% male, median age of 39 (IQR 27, 59), median travel duration 19 days (IQR 12, 49). 17.4% developed TD. 32% traveled to Africa, 40% to Asia, and 27% to the Caribbean, Mexico, Central, or South America. Military travel (46%) and vacation (40%) were most common reasons for travel. 20% took doxycycline for malaria prophylaxis, 50% other prophylaxis (89% atovaquone-proguanil), and 30% took none. Compared with those on no or other prophylaxis, doxycycline was associated with decreased risk for TD [RR 0.62 (0.47–0.82), P < 0.01], as was military travel [RR 0.57 (0.47–0.70), P < 0.01]. Increased risk of TD was associated with female gender [RR 1.28 (1.09–1.50), P < 0.01], staying in a hotel [RR 1.30 (1.10–1.53), P < 0.01], travel to tropical South America [RR 1.34 (1.09–1.64), P < 0.01], and duration of travel [RR 1.00 (1.00–1.01), P < 0.01]. Compared with taking other or no prophylaxis, use of doxycycline for malaria prophylaxis is associated with lower TD risk, suggesting potential changes in resistance patterns, anti-inflammatory effects, or association with other unmeasured risk factors. Doxycycline may impact TD risk independently of other risk factors. All authors: No reported disclosures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.329
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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