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J Pers Soc Psychol
February 2024
Reports an error in "Tell it like it is: When politically incorrect language promotes authenticity" by Michael Rosenblum, Juliana Schroeder and Francesca Gino (, 2020[Jul], Vol 119[1], 75-103). In the original article, the sample size in the abstract and in the third sentence of the General Discussion section has been corrected to N = 4,922. The Open Science Framework URL for the preregistered hypothesis and analysis plan for Experiment 2 is now available at https://osf.
View Article and Find Full Text PDFToxics
November 2023
Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Asthma and other respiratory diseases, which are of great concern in public health, are paid less attention in areas that are less economically developed. This research aimed to study the prevalence of critical respiratory diseases of children living in West China and figure out the potential influencing factors. A total of 575 children under the age of 14 were recruited from Xinjiang, China, to participate in the study in 2022.
View Article and Find Full Text PDFAllergol Select
October 2023
Department of Dermatology and Allergology, University Hospital Giessen, Justus Liebig University Gießen, Gießen, Germany.
Community Health Equity Res Policy
October 2023
George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
In global health, international nongovernmental organizations (NGOs) frequently hire, train, and partner with host-country clinicians who manage public outreach and patient care. We conducted a general interpretivist study of Basotho clinicians hired by NGOs and academic affiliates in Lesotho to identify cultural barriers and facilitators to community and patient education. We conducted 13 interviews involving 16 participants (one physician, one nutritionist, 14 nurses).
View Article and Find Full Text PDFData Brief
April 2020
Faculdade de Medicina/ Instituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil.
Data from the routine surveillance systems have been extensively used to estimate the incidence of dengue. However, routine surveillance data frequently underestimate the diseases' incidence. Underreporting of dengue cases is related to the varying spectrum of its clinical presentation, with a large proportion of mild and asymptomatic infections, to its unspecific signs and symptoms, to the limitations of access to health care, and to the performance of the surveillance system itself [1-3].
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