The determinants of COVID-19 morbidity and mortality across countries by Chang, Dianna, Chang, Xin, He, Yu, Tan, Kelvin Jui Keng

“…Besides factors commonly associated with infectious diseases (e.g., population and tourism activities), we discover a list of country characteristics that shape COVID-19 outcomes. Among demographic-geographic factors, the male-to-female ratio, population density, and urbanization aggravate the severity of COVID-19, while education, temperature, and religious diversity mitigate the impact of the pandemic on morbidity and mortality. …”
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Multiple introductions of NRCS-A Staphylococcus capitis to the neonatal intensive care unit drive neonatal bloodstream infections: a case-control and environmental genomic survey by Lees, EA, Gentry, J, Webster, H, Sanderson, N, Eyre, D, Wilson, D, Lipworth, S, Crook, D, Wong, THN, Mark, A, Jeffery, K, Paulus, S, Young, BC

“…</p> <p><strong>Methods.</strong> Demographic and clinical data for 45 neonates with S. capitis and 90 with other coagulase-negative staphylococci (CoNS) isolated from sterile sites were reviewed, and clinical significance was determined. …”

Ethnicity and anthropometric deficits in children: A cross-sectional analysis of national survey data from 18 countries in sub-Saharan Africa by Tusting, LS, Mishra, S, Gibson, HS, Lindsay, SW, Weiss, DJ, Flaxman, S, Bhatt, S

“…Data were extracted from 37 georeferenced Demographic and Health Surveys carried out during 2006–2019 across SSA that recorded anthropometric data for children aged <5 years. …”

Evaluation of a pilot family planning educational seminar and subsequent attitudes towards family planning among Muslim communities in Tanzania by Cordeiro, AA, Gumanneh, H, Nzali, A, Lambert, VJ, Yussuph, A, Kihunrwa, A, Mchondo, Y, Mtita, R, Yahaya, H, Kalluvya, SE, Wamoyi, J, Suleman, M, Downs, JA, Mwakisole, AH

“…Interviews explored participants’ knowledge and perceptions of FP, views of its permissibility in Islam, and actions that they had taken since attending the seminar. Demographic and survey data was analyzed using R software. …”

Breastfeeding support during the Covid-19 pandemic in England: analysis of a national survey by Quigley, M, Harrison, S, Levene, I, Buchanan, P, McLeish, J, Alderdice, F

“…Receiving breastfeeding support over the phone (35%) was more common than via video call (13%) or text message (5%); these percentages varied according to socio-demographic and pregnancy-related factors. <p><strong>Conclusions</p></strong> Breastfeeding support has declined in recent years, and did not meet the needs of many women during the pandemic. …”

Outbreaks of COVID-19 in a tuberculosis treatment sanatorium on the Thailand-Myanmar border: a retrospective cohort analysis by Aung, HKK, Swe, LL, Saito, M, Lesseps, S, Janurian, N, Tun, WPP, Maung Maung, B, Than, A, Watthanaworawit, W, Kaewphanderm, N, Gornsawun, G, Pyae Phyo, A, Nosten, F

“…</p> <p><strong>Methods</strong><br> COVID-19 cases at two TB sanatoria on the Thailand-Myanmar border were reviewed. Demographic, clinical and laboratory data including TB treatment and co-morbidities, were analyzed. …”

Longitudinal patterns in smoking abstinence in trials of e-cigarettes for smoking cessation: secondary analysis of data from a systematic review, with meta-analyses by Hartmann-Boyce, J, Chan, J, Zhitnik, E, Pesola, F, Hajek, P, Lindson, N

“…The few studies addressing relapse highlighted mixed demographic and behavioral characteristics associated with relapse rates. …”

Relationships between general self-efficacy, number of counselling sessions, mandated counselling satisfaction and readiness to change among institutionalised adolescents in Malays... by Muhammad Shariff Paul, Azzah Sabrina

“…A set of self-administered questionnaires were used to collect information related to institutionalised adolescents‟ demographic characteristics information, general self-efficacy measured using General Self-Efficacy Scale (Schwarzer & Jerusalem, 1995), and mandated counselling satisfaction and readiness to change, measured using Mandated Counselling Satisfaction Scale (Mansor, Rumaya & Zainal, 2013) and University of Rhode Island Change Assessment (Prochaska & DiClemente, 1982) respectively. …”
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Intracranial volume post cranial expansion surgery using 3D CT scan imaging in children with craniosynostosis by Sulong, Shukriyah

“…The ICV preoperative and postoperative was measured using the 3D CT imaging and analysed. The demographic data, clinical and radiological findings was identified and analysed. …”
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A comparative study on faecal short-chain fatty acids concentration in lean, overweight and obese school children by Saipudin, Nurul Ain, Suhairom, Nornazira, Abd. Wahid, Nur Husna

“…Malay ethnic, healthy, lean, overweight and obese, age 7 to 10 years old from the selected primary school participated in this study.We assessed the socio-demographic and nutritional status of lean, overweight and obese children. …”
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Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment by Rykov, Yuri G., Patterson, Michael D., Gangwar, Bikram A., Jabar, Syaheed B., Leonardo, Jacklyn, Ng, Kok Pin, Kandiah, Nagaendran

“…Supervised machine learning was used to train models predicting NTB scores from digital physiological features and demographics. Performance was evaluated using “leave-one-subject-out” and “leave-one-interval-out” cross-validation. …”
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The dietetic practice of prescribing amino acid-based formulas in paediatrics patients without cow’s milk allergy: a single centre retrospective study by O’Connor, Graeme, Mansell, Melissa

“…Data were collected on demographics, anthropometrics, feed regimens, gastrointestinal symptoms, proton pump inhibitor use and serum phosphate concentration Results: 203 children were prescribed an AAF during the data collection period, of these, 154 of 203 (76%) patients had no allergies. …”
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Infectious diseases acquired by international travellers visiting the USA by Stoney, Rhett J, Esposito, Douglas H., Kozarsky, Phyllis, Hamer, Davidson H., Grobusch, Martin P., Gkrania-Klotsas, Effrossyni, Libman, Michael, Gautret, Philippe, Lim, Poh Lian, Leder, Karin, Schwartz, Eli, Sotir, Mark J., Licitra, Carmelo

“…Methods: We performed a descriptive analysis summarizing demographic and travel characteristics, and clinical diagnoses among non-US-resident international travellers seen during or after travel to the USA at a GeoSentinel clinic from 1 January 1997 through 31 December 2016. …”
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Development of the CHARIOT Research Register for the Prevention of Alzheimer’s Dementia and Other Late Onset Neurodegenerative Diseases by Larsen, Mark E., Curry, Lisa, Mastellos, Nikolaos, Robb, Catherine, Car, Josip, Middleton, Lefkos T.

“…Upon consent, a minimum data set of demographic and contact details was extracted from the patient’s electronic health record. …”
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Young people's understanding of European values: enhancing abilities, supporting participation and voice by Ross, Alistair, Loughran, Tom, Brunold, Andreas, Hartsmar, Nanny, Liljefors Persson, Bodil, Chistolini, Sandra, Dotta, Leanete Thomas, Freires, Thiago, Kõiv, Kristi, Lopes, Juliana Crespo, Pembecioğlu, Nilüfer, Pereira, Fátima, Spinthourakis, Julia Athena

“…Presentation of the analysis: A: The demographic characteristics of the survey population. …”
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Role of primary and secondary care data in atrial fibrillation ascertainment: impact on risk factor associations, patient management, and mortality in UK Biobank by Camm, CF, Von Ende, A, Gajendragadkar, PR, Pessoa-Amorim, G, Mafham, M, Allen, N, Parish, S, Casadei, B, Hopewell, JC

“…AF cases in each of the ascertainment groups had comparable baseline demographic characteristics. However, AF cases identified in hospital data alone had a higher prevalence of cardiometabolic comorbidities and lower rates of subsequent anticoagulation (PC-only: 44%, PC + HADP: 48%, HADP-only: 10%, P &lt; 0.0001) than other groups. …”

Mediating effects of satisfaction in the relationship between motivation factors and continuous viewing intentions towards Chinese documentary programs by Mengyu, Li

“…Meanwhile, the factors of gender, age, and the year of study indicated significant effects on continuous viewing intentions among all socio-demographic factors except for subjects. At last, satisfaction as a mediating variable showed a significant effect. …”
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Global, regional, and national mortality among young people aged 10–24 years, 1950–2019: a systematic analysis for the Global Burden of Disease Study 2019 by Ward, Joseph L., Azzopardi, Peter S., Francis, Kate L., Santelli, John S., Skirbekk, Vegard, Sawyer, Susan M., Kassebaum, Nicholas J., Mokdad, Ali H., Hay, Simon I., Abd-Allah, Foad, Abdoli, Amir, Mohammad Abdollahi, Abedi, Aidin, Abolhassani, Hassan, Abreu, Lucas Guimaraes, Abrigo, Michael R. M., Abu-Gharbieh, Eman, Abushouk, Abdelrahman I., Adebayo, Oladimeji M., Adekanmbi, Victor, Adham, Davoud, Advani, Shailesh M., Afshari, Khashayar, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Keivan, Ahmed, Anwar E., Aji, Budi, Akombi-Inyang, Blessing, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alanezi, Fahad Mashhour, Alanzi, Turki M., Alcalde-Rabanal, Jacqueline Elizabeth, Alemu, Biresaw Wassihun, Al-Hajj, Samar, Alhassan, Robert Kaba, Ali, Saqib, Alicandro, Gianfranco, Alijanzadeh, Mehran, Aljunid, Syed Mohamed, Almasi-Hashiani, Amir, Almasri, Nihad A., Al-Mekhlafi, Hesham M., Alonso, Jordi, Al-Raddadi, Rajaa M., Altirkawi, Khalid A., Alvis-Guzman, Nelson, Amare, Azmeraw T., Amini, Saeed, Aminorroaya, Arya, Amit, Arianna Maever L., Amugsi, Dickson A., Ancuceanu, Robert, Anderlini, Deanna, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Fereshteh, Ansari, Iman, Antonio, Carl Abelardo T., Anvari, Davood, Anwer, Razique, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Arab-Zozani, Morteza, Ärnlöv, Johan, Asaad, Malke, Asadi-Aliabadi, Mehran, Asadi-Pooya, Ali A., Atout, Maha Moh'd Wahbi, Ausloos, Marcel, Avenyo, Elvis Korku, Avila-Burgos, Leticia, Quintanilla, Beatriz Paulina Ayala, Ayano, Getinet, Aynalem, Yared Asmare, Azari, Samad, Azene, Zelalem Nigussie, Bakhshaei, Mohammad Hossein, Bakkannavar, Shankar M., Banach, Maciej, Banik, Palash Chandra, Barboza, Miguel A., Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Basu, Sanjay, Baune, Bernhard T., Bayati, Mohsen, Bedi, Neeraj, Beghi, Ettore, Bekuma, Tariku Tesfaye, Bell, Arielle Wilder, Bell, Michelle L., Benjet, Corina, Bensenor, Isabela M., Berhe, Abadi Kidanemariam, Berhe, Kidanemaryam, Berman, Adam E., Bhagavathula, Akshaya Srikanth, Car, Lorainne Tudor

“…Background: Documentation of patterns and long-term trends in mortality in young people, which reflect huge changes in demographic and social determinants of adolescent health, enables identification of global investment priorities for this age group. …”
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Creative ageing in Singapore : a population study on participatory arts engagement and wellbeing among adults aged 50 and above by Ma, Stephanie Hilary Xinyi

“…Control variables included demographic information, self-reported health status, intensity and frequency of physical exercises. …”
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Risk prediction models to guide antibiotic prescribing : a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department by Wong, Joshua Guoxian, Aung, Aung-Hein, Lian, Weixiang, Lye, David Chien, Ooi, Chee-Kheong, Chow, Angela

“…Confirmatory tests were performed using the multiplex polymerase chain reaction (PCR) test for respiratory viruses and point-of-care test for Creactive protein. Demographic, clinical and laboratory data were extracted from the hospital electronic medical records.Seventy percent of the data was used for training and the remaining 30% was used for validation. …”
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