Objective: To describe the promotion of food and beverage and marketing strategies used by online food delivery services (OFDS) in a social media platform before and during the pandemic in Brazil. Design: Publicly available data were extracted from OFDS Instagram accounts. Posts published six months immediately before and after the first case of COVID-19 in Brazil were randomly sampled. Two independent authors coded the posts’ content. Food and beverage items featured in posts were classified according to the NOVA food system classification. Marketing strategies were coded according to protocols from previous studies. Setting: Top three OFDS Instagram accounts in Brazil. Participants: Posts published in the period studied (n = 304). Results: During the pandemic, the proportion of posts featuring at least one food item decreased from 71.6% to 40.2%, and the proportion of ultra-processed foods decreased from 57.6% to 27.9%. Before the pandemic, the most widely used marketing strategies were branding elements (80.7%), product imagery (unbranded) (48.9%), and partnerships/sponsorship (35.2%). While, during the pandemic, branding elements (62.2%) continued to be the most applied, but were followed by the use of videos/GIFs/boomerangs (34.1%) and corporate social responsibility (31.7%). The most frequent COVID-19 marketing strategies were “social responsibility in the pandemic” (30.5%), “combatting the pandemic” (28.0%), and “accelerating digitalization” (20.7%). Conclusions: OFDS advertisements on a social media platform placed less emphasis on food items, but improved the nutritional quality of foods and beverages featured in posts. A COVID-washing approach was highlighted, especially through the use of social responsibility marketing during the pandemic.

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Dengue is a vector-borne disease present in most tropical countries, infecting an average of 50 to 100 million people per year. Socioeconomic, demographic, and environmental factors directly influence the transmission cycle of the dengue virus (DENV). In Brazil, these factors vary between regions producing different profiles of dengue transmission and challenging the epidemiological surveillance of the disease. In this article, we aimed at classifying the profiles of dengue transmission in 1,823 Brazilian municipalities, covering different climates, from 2010 to 2019. Time series data of dengue cases were obtained from six states: Ceará and Maranhão in the semiarid Northeast, Minas Gerais in the countryside, Espírito Santo and Rio de Janeiro in the tropical Atlantic coast, and Paraná in the subtropical region. To describe the time series, we proposed a set of epi-features of the magnitude and duration of the dengue epidemic cycles, totaling 13 indicators. Using these epi-features as inputs, a multivariate cluster algorithm was employed to classify the municipalities according to their dengue transmission profile. Municipalities were classified into four distinct dengue transmission profiles: persistent transmission (7.8%), epidemic (21.3%), episodic/epidemic (43.2%), and episodic transmission (27.6%). Different profiles were associated with the municipality’s population size and climate. Municipalities with higher incidence and larger populations tended to be classified as persistent transmission, suggesting the existence of critical community size. This association, however, varies depending on the state, indicating the importance of other factors. The proposed classification is useful for developing more specific and precise surveillance protocols for regions with different dengue transmission profiles, as well as more precise public policies for dengue prevention.