Dengue hemorrhagic fever prevention and control: DHF-solve model using linebot-application and GIS by Mala, M., Meenongwar, C., Jundaeng, J., Osman, M., Viegus, Z., Nithikathkul, C.

“…Dengue hemorrhagic fever (DHF) poses a significant health challenge in Thailand, highlighting the need for a better understanding of its transmission and characteristics. …”
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Evaluation of naturally occurring IgG anti-Vi antibody titers as predictors and correlates of typhoid fever in Dhaka, Bangladesh by Khanam, F, Rickett, NY, Ahmmed, F, Islam, MT, Mbae, CK, Im, J, Aziz, AB, Ongadi, B, Chowdhury, F, Khan, AI, Akter, A, Firoj, MG, Rahman, SIA, Haile, K, Park, SE, Mwebia, MB, Mwangi, M, Ngugi, B, Behute, MG, Kering, K, Agampodi, S, Kanungo, S, Liu, X, Pollard, AJ

“…We aimed to determine whether the presence of antibodies following natural infection is associated with a lower incidence of typhoid fever in endemic regions. Methods: We analyzed data from a cohort study of typhoid fever conducted in Dhaka, Bangladesh. …”

'You would never pick up the thread from where you left off’: older Irish women migrants' narratives of non‐return, post‐retirement by Ryan, Louise, Doshi, Neha

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Fully automated differential fault analysis on software implementations of block ciphers by Hou, Xiaolu, Breier, Jakub, Zhang, Fuyuan, Liu, Yang

“…Moreover, we present a novel DFA on multiplication operation that has never been shown for symmetric block ciphers before. …”
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Pricing data tampering in automated fare collection with NFC-equipped smartphones by Dang, Fan, Zhai, Ennan, Li, Zhenhua, Zhou, Pengfei, Mohaisen, Aziz, Bian, Kaigui, Wen, Qingfu, Li, Mo

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Infectious diseases prevention and control using an integrated health big data system in China by Zhou, Xudong, Lee, Edmund Wei Jian, Wang, Xiaomin, Lin, Leesa, Xuan, Ziming, Wu, Dan, Lin, Hongbo, Shen, Peng

“…Background: The Yinzhou Center for Disease Prevention and Control (CDC) in China implemented an integrated health big data platform (IHBDP) that pooled health data from healthcare providers to combat the spread of infectious diseases, such as dengue fever and pulmonary tuberculosis (TB), and to identify gaps in vaccination uptake among migrant children. …”
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Comparative evaluation of spatiotemporal methods for effective dengue cluster detection with a case study of national surveillance data in Thailand by Rotejanaprasert, C, Chinpong, K, Lawson, AB, Maude, RJ

“…Dengue fever poses a significant public health burden in tropical regions, including Thailand, where periodic epidemics strain healthcare resources. …”

Information FOMO: The Unhealthy Fear of Missing Out on Information—A Method for Removing Misleading Data for Healthier Models by Pickering, Ethan, Sapsis, Themistoklis P.

“…Misleading or unnecessary data can have out-sized impacts on the health or accuracy of Machine Learning (ML) models. …”
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Direct Comparison of Numerical Simulations and Experiments of $$\hbox {CO}_2$$ Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability by Saló-Salgado, Lluís, Haugen, Malin, Eikehaug, Kristoffer, Fernø, Martin, Nordbotten, Jan M., Juanes, Ruben

“…The accuracy and robustness of numerical models of geologic CO2 sequestration are almost never quantified with respect to direct observations that provide a ground truth. …”
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Gametocyte carriage in uncomplicated plasmodium falciparum malaria following treatment with artemisinin combination therapy: a systematic review and meta-analysis of individual pat... by Abdulla, S, Achan, J, Yeka, A, D'Alessandro, U, Adam, I, Alemayehu, B, Allan, R, Temu, E, Allen, E, Barnes, K, Anvikar, A, Valecha, N, Arinaitwe, E, Ashley, E, Carrara, V, McGready, R, Nosten, F, Lee, S, White, N, Asih, P, Awab, G, Dondorp, A, Fanello, C, Woodrow, C, Dahal, P, Guerin, P, Humphreys, G, Moreira, C, Nsanzabana, C, Price, R, Sibley, C, Stepniewska, K, Bassat, Q, Gonzalez, R, Baudin, E, Checchi, F, Espie, E, Grandesso, F, Nabasumba, C, Schramm, B, Björkman, A, Bompart, F, Lameyre, V, Bonnet, M, Borrmann, S, Bousema, T, Cenci, F, Cot, M, Faucher, J, Kapulu, M, Marsh, K, Mayxay, M, Newton, P, Roper, C, Deloron, P, Djimde, A, Fofana, B, Doumbo, O, Sagara, I, Dorsey, G, Rosenthal, P, Drakeley, C

“…An individual patient clinical data meta-analysis was undertaken to identify the determinants of gametocyte carriage and the comparative effects of four ACTs: artemether-lumefantrine (AL), artesunate/amodiaquine (AS-AQ), artesunate/mefloquine (AS-MQ), and dihydroartemisinin-piperaquine (DP).…”

AI (Artificial Intelligence) is MACHINE USEFULNESS by Datta, Shoumen

“…Harvard Law Professor Paul Freund, a constitutional scholar, asserted that the Supreme Court “should never be influenced by the weather of the day but inevitably will be influenced by the climate of the era.” …”
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Infections diagnosed in children and young people screened for malaria in UK emergency departments: a retrospective multi-centre study by Bird, C, Hayward, GN, Turner, PJ, Wasala, D, Merrick, V, Lyttle, MD, Mullen, N, Fanshawe, TR

“…<p><strong>Background:</strong> Data on imported infections in children and young people (CYP) are sparse.…”

Effect of early and later prone positioning on outcomes in invasively ventilated COVID-19 patients with acute respiratory distress syndrome: analysis of the prospective COVID-19 cr... by Simpkin, AJ, McNicholas, BA, Hannon, D, Bartlett, R, Chiumello, D, Dalton, HJ, Gibbons, K, White, N, Merson, L, Fan, E, Panigada, M, Grasselli, G, Motos, A, Torres, A, Barbé, F, Ng, PY, Fanning, JP, Nichol, A, Suen, JY, Bassi, GL, Fraser, JF, Laffey, JG

“…We compared outcomes between patients prone positioned within 48 h of IMV to those (i) never proned, and (ii) proned only after 48 h. Results: 3131 patients had data on prone positioning, 1482 (47%) were never proned, 1034 (33%) were proned within 48 h and 615 (20%) were proned only after 48 h of commencement of IMV. 28-day (hazard ratio 0.82, 95% confidence interval [CI] 0.68, 0.98, p = 0.03) and 90-day (hazard ratio 0.81, 95% CI 0.68, 0.96, p = 0.02) mortality risks were lower in those patients proned within 48 h of IMV compared to those never proned. …”

Long Covid: a global health issue – a prospective, cohort study set in four continents by Pazukhina, E, Garcia-Gallo, E, Reyes, LF, Kildal, AB, Jassat, W, Dryden, M, Holter, JC, Chatterjee, A, Gomez, K, Søraas, A, Puntoni, M, Latronico, N, Bozza, FA, Edelstein, M, Gonçalves, BP, Kartsonaki, C, Kruglova, O, Gaião, S, Chow, YP, Doshi, Y, Duque Vallejo, SI, Ibáñez-Prada, ED, Fuentes, YV, Hastie, C, O'Hara, ME, Balan, V, Menkir, T, Merson, L, Kelly, S, Citarella, BW, Semple, MG, Scott, JT, Munblit, D, Sigfrid, L

“…<p><strong> Conclusion </p></strong>Our data show that Long Covid affects populations globally, manifesting similar symptomatology and impact on functioning in both HIC and LMICs. …”

Pathogen diversity and antimicrobial resistance transmission of Salmonella enterica serovars Typhi and Paratyphi A in Bangladesh, Nepal, and Malawi: a genomic epidemiological study... by Dyson, ZA, Ashton, PM, Khanam, F, Chunga Chirambo, A, Shakya, M, Meiring, JE, Tonks, S, Karkey, A, Msefula, C, Clemens, JD, Dunstan, SJ, Baker, S, Dougan, G, Pitzer, VE, Basnyat, B, Qadri, F, Heyderman, RS, Gordon, MA, Holt, KE, Pollard, AJ, STRATAA Study Group

“…<p><strong>Background:</strong> Enteric fever is a serious public health concern. The causative agents, Salmonella enterica serovars Typhi and Paratyphi A, frequently have antimicrobial resistance (AMR), leading to limited treatment options and poorer clinical outcomes. …”

Predicting the antigenicity and reassortment probability of influenza viruses by Ong, Wenqi

“…As such, the aim of this project is to aid the aforementioned through developing two web applications, by proposing and applying various computation methods to data. In the first web application, by providing an antigenic database consisting of virus information and HI assays data, researchers are able to upload/retrieve data to predict the antigenic similarity between viruses using computational analysis methods such as context-free encoding scheme. …”
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Mosquito-borne diseases in urban East African Community region: a scoping review of urban typology research and mosquito genera overlap, 2000-2024 by Joseph, NK, Mumo, E, Morlighem, C, Macharia, PM, Snow, RW, Linard, C

“…This literature review collates entomological data from five East African Community (EAC) countries, studying the definitions of urban settings, co-occurrence of Anopheles, Aedes and Culex mosquito genera and their infection rates to provide a wholistic understanding of MBDs in urban EAC. …”

Toward a wearable crowdsource system to monitor respiratory symptoms for pandemic early warning by Zhang, Wei, Li, Jie, Wen, Yonggang, Luo, Yong

“…We collect the data from wearable devices and develop machine learning algorithms to analyze the data for respiratory symptom monitoring and early warning. …”
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Kinect-based automatic sign language recognition by Khor, Gladys Chiao Yuin

“…The focus of this paper will be improving the accuracy of hand signs recognition for user’s input data during image mapping phase and improve the model performance by applying different data separation methods.…”
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Smart-contract privacy preservation mechanism by Siraj, Muhammed, Ninggal, Mohd. Izuan Hafez, Udzir, Nur Izura, Abdullah, Muhammad Daniel Hafiz, Asmawi, Aziah

“…The proposed framework provides a satisfactory level of data utility and privacy preservation.…”
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