@article {1371, title = {Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study.}, journal = {J Med Internet Res}, volume = {26}, year = {2024}, month = {2024 Mar 01}, pages = {e49139}, abstract = {

BACKGROUND: Previous work suggests that Google searches could be useful in identifying conjunctivitis epidemics. Content-based assessment of social media content may provide additional value in serving as early indicators of conjunctivitis and other systemic infectious diseases.

OBJECTIVE: We investigated whether large language models, specifically GPT-3.5 and GPT-4 (OpenAI), can provide probabilistic assessments of whether social media posts about conjunctivitis could indicate a regional outbreak.

METHODS: A total of 12,194 conjunctivitis-related tweets were obtained using a targeted Boolean search in multiple languages from India, Guam (United States), Martinique (France), the Philippines, American Samoa (United States), Fiji, Costa Rica, Haiti, and the Bahamas, covering the time frame from January 1, 2012, to March 13, 2023. By providing these tweets via prompts to GPT-3.5 and GPT-4, we obtained probabilistic assessments that were validated by 2 human raters. We then calculated Pearson correlations of these time series with tweet volume and the occurrence of known outbreaks in these 9 locations, with time series bootstrap used to compute CIs.

RESULTS: Probabilistic assessments derived from GPT-3.5 showed correlations of 0.60 (95\% CI 0.47-0.70) and 0.53 (95\% CI 0.40-0.65) with the 2 human raters, with higher results for GPT-4. The weekly averages of GPT-3.5 probabilities showed substantial correlations with weekly tweet volume for 44\% (4/9) of the countries, with correlations ranging from 0.10 (95\% CI 0.0-0.29) to 0.53 (95\% CI 0.39-0.89), with larger correlations for GPT-4. More modest correlations were found for correlation with known epidemics, with substantial correlation only in American Samoa (0.40, 95\% CI 0.16-0.81).

CONCLUSIONS: These findings suggest that GPT prompting can efficiently assess the content of social media posts and indicate possible disease outbreaks to a degree of accuracy comparable to that of humans. Furthermore, we found that automated content analysis of tweets is related to tweet volume for conjunctivitis-related posts in some locations and to the occurrence of actual epidemics. Future work may improve the sensitivity and specificity of these methods for disease outbreak detection.

}, issn = {1438-8871}, doi = {10.2196/49139}, author = {Deiner, Michael S and Deiner, Natalie A and Hristidis, Vagelis and McLeod, Stephen D and Doan, Thuy and Lietman, Thomas M and Porco, Travis C} } @article {916, title = {Very late onset LASIK flap Acremonium fungal keratitis confirmed by metagenomic deep sequencing.}, journal = {Am J Ophthalmol Case Rep}, volume = {25}, year = {2022}, month = {2022 Mar}, pages = {101294}, abstract = {

Purpose: To describe a unique case of LASIK flap fungal keratitis confirmed by next generation sequencing.

Observations: A 56-year-old female presented with refractory keratitis involving her LASIK flap 21 years after surgery. Confocal was positive for filamentous structures. The patient underwent immediate flap amputation followed by topical antifungal treatment. Corneal culture was positive for sp. Metagenomic deep sequencing confirmed as the primary source of infection and also identified as a likely contributor of a mixed fungal infection. Sequencing also identified hay as the likely source of the infection. Treatment resulted in eradication of the infection. The patient{\textquoteright}s final best corrected visual acuity was 20/30 with rigid contact lens overrefraction.

Conclusions: Metagenomic deep sequencing is a novel diagnostic tool that is increasingly being utilized for diagnosis of refractory keratitis. This case demonstrates the diagnostic potential of deep sequencing for identifying post-LASIK keratitis and reinforces the utility of LASIK flap amputation in the setting of tectonic flap instability due to keratolysis.

Importance: This case highlights several important clinical points for treating LASIK flap keratitis and highlights the emerging role metagenomic sequencing has in the diagnosis of infectious keratitis. This is first known case using next generation sequencing to diagnose a post-LASIK infectious keratitis.

}, issn = {2451-9936}, doi = {10.1016/j.ajoc.2022.101294}, author = {Greenwald, Miles F and Redd, Travis K and Doan, Thuy and McLeod, Stephen D and Seitzman, Gerami D} } @article {906, title = {Keeping an eye on pink eye: a global conjunctivitis outbreak expert survey.}, journal = {Int Health}, year = {2021}, month = {2021 Aug 19}, abstract = {

BACKGROUND: Recurrent conjunctivitis epidemics are prevalent worldwide. Aetiologies are often undetermined.

METHODS: We surveyed conjunctivitis researchers about perceived trends in prevalence, incidence and aetiologies of conjunctivitis epidemics.

RESULTS: Of the 155 participants, 7\% endorsed globally variable and dynamic microbial aetiologies of conjunctivitis epidemics. Increased incidence of conjunctivitis epidemics over the last decade were reported by 21\% of respondents. Peak seasons differed between the northern and southern hemispheres.

CONCLUSIONS: There is regional equipoise regarding the increasing incidence and emerging underlying aetiologies of epidemic conjunctivitis. Further investigation of global surveillance and microbial characterization of conjunctivitis outbreaks could improve prevention and outcomes.

}, issn = {1876-3405}, doi = {10.1093/inthealth/ihab049}, author = {Kaur, Gurbani and Seitzman, Gerami D and Lietman, Thomas M and McLeod, Stephen D and Porco, Travis C and Doan, Thuy and Deiner, Michael S} } @article {61, title = {Infectious corneal ulceration: a proposal for neglected tropical disease status.}, journal = {Bull World Health Organ}, volume = {97}, year = {2019}, month = {2019 Dec 01}, pages = {854-856}, keywords = {Anti-Bacterial Agents, Bacterial Infections, Corneal Ulcer, Developing Countries, Global Health, Health Promotion, Humans, Leprosy, Neglected Diseases, Onchocerciasis, Ocular, Trachoma}, issn = {1564-0604}, doi = {10.2471/BLT.19.232660}, author = {Ung, Lawson and Acharya, Nisha R and Agarwal, Tushar and Alfonso, Eduardo C and Bagga, Bhupesh and Bispo, Paulo Jm and Burton, Matthew J and Dart, John Kg and Doan, Thuy and Fleiszig, Suzanne Mj and Garg, Prashant and Gilmore, Michael S and Gritz, David C and Hazlett, Linda D and Iovieno, Alfonso and Jhanji, Vishal and Kempen, John H and Lee, Cecilia S and Lietman, Thomas M and Margolis, Todd P and McLeod, Stephen D and Mehta, Jod S and Miller, Darlene and Pearlman, Eric and Prajna, Lalitha and Prajna, N Venkatesh and Seitzman, Gerami D and Shanbhag, Swapna S and Sharma, Namrata and Sharma, Savitri and Srinivasan, Muthiah and Stapleton, Fiona and Tan, Donald Th and Tandon, Radhika and Taylor, Hugh R and Tu, Elmer Y and Tuli, Sonal S and Vajpayee, Rasik B and Van Gelder, Russell N and Watson, Stephanie L and Zegans, Michael E and Chodosh, James} }