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The lack of food-based dietary guidelines for managing cancer among hospitalized patients has led to an increasing economic burden on the government and families in low- and middle-economy countries. There have been increasing medical costs due to delayed recovery, readmission and mortality. The purpose of this study is to contribute in reducing these effects by developing context-specific food-based dietary guidelines to assist health-care professionals and caregivers in planning diets for cancer patients.

For seven days, the dietary intakes of 100 cancer patients in the hospital were recorded using weighed food records. Data on the costs of commonly consumed foods during hospitalization were obtained from hospital requisition books as well as nearby markets and shops. The information gathered was used to create optimal food-based dietary guidelines for cancer patients.

Most patients did not meet the recommended food group and micronutrient intake according to their weighed food records. Sugar intake from processed foods was (51 ± 19.8 g), (13% ± 2%), and calories (2585 ± 544 g) exceeded recommendations. Optimized models generated three menus that met the World Cancer Research Fund 2018 cancer prevention recommendation at a minimum cost of 2,700 Tanzanian Shillings (TSH), 3500TSH, and 4550TSH per day. The optimal dietary pattern includes nutrient-dense foods from all food groups in recommended portions and within calorie limits.

Findings show that optimal dietary guidelines that are context-specific for managing cancer in hospitalized patients can be formulated using culturally acceptable food ingredients at minimum cost.

This study aims to update the information on the current status of micronutrient fortification for iron, zinc, folic acid and vitamin A in mandatory fortified food vehicles such as cooking oil, wheat and maize flours in Tanzania.

A cross-sectional study was conducted in five regions to analyze the adequacy of micronutrient fortification in mandatory fortified food vehicles. Samples of fortified edible oil (n = 19), wheat flour (n = 12) and maize flour (n = 5) were sampled conveniently from local markets and supermarkets. Samples were analyzed for vitamins (vitamin A and folic acid) and mineral (iron and zinc) content using high-performance liquid chromatography and microwave plasma-atomic emission spectrometer, respectively. Compliance acceptable ranges between the minimum and maximum levels for each nutrient were used as a basis for compliance.

The results showed that 83.3% and 80% of wheat and maize flour samples, respectively, complied with iron fortification standards (p = 0.05). Only 25% of wheat flour samples and 40% of maize flour samples were within the acceptable ranges for zinc fortification (p = 0.05). Nearly 17% and 20% of wheat and maize flour samples, respectively, were within the acceptable ranges for folic acid fortification (p = 0.05). Moreover, about 10.5% of the analyzed cooking oils were adequately fortified with vitamin A (p = 0.05). Except for iron in wheat and maize flours, the levels of other micronutrients in mandatorily fortified foods were out of acceptable ranges.

Mandatory fortification is still far from the established standards, and this calls for a review of the current fortification strategies regarding standards, training, monitoring and enforcement in Tanzania.

The behavior compelling the consumer’s intention to purchase organic food has received little attention in developing countries. There is limited knowledge concerning the factors that impact consumer’s intention to purchase organic food in these countries. The study empirically examined the impact of attitude, subjective norms, and perceived behavior control on the consumer intention to buy organic food. The study also aimed to explore whether knowledge about organic food and health consciousness has an indirect effect on the relationship between attitude, subjective norms, perceived behavior control and intention to buy.

To accomplish the study’s objectives, the questionnaires were administered to a convenience sample of 730 consumers using a traditional paper and pencil questionnaire interview (PAPI). Confirmatory factor analysis (CFA) was applied to validate the data, and the Structural equation model (SEM) was employed to test the hypotheses.

The findings showed that subjective norms and attitudes were positively correlated, and they significantly impacted the purchase intention of organic food. The findings also showed that knowledge about organic food and health consciousness has an indirect effect on the relationship between attitude, subjective norms, and intention to buy.

The findings stimulate the momentum to the growing literature, particularly in the developing countries on consumer behaviors regarding organic foods. Also, they will help stakeholders to achieve the marketing strategy for the growth of this sector.

India has the biggest number of active users on social media platforms, particularly Twitter. The purpose of this paper is to examine public sentiment on COVID-19 vaccines and COVID Appropriate Behaviour (CAB) by text mining (topic modeling) and network analysis supported by thematic modeling.

A sample dataset of 115,000 tweets from the Twitter platform was used to examine the perception of the COVID-19 vaccination and CAB from January 2021 to August 2021. The research applied a machine-learning algorithm and network analysis to extract hidden and latent patterns in unstructured data to identify the most prevalent themes. The COVID-19 Vaccine Hesitancy Amplification Model was formulated, which included five key topics based on sample big data from social media.

The identified themes are Social Media Adaptivity, Lack of Knowledge Providing Mechanism, Perception of Vaccine Safety Measures, Health Care Infrastructure Capabilities and Fear of Coronavirus (Coronaphobia). The study implication assists communication strategists and stakeholders design effective communication strategies using digital platforms. The study reveals CAB themes as with Mask Wearing Issues and Employment Issues as relevant themes discussed on digital channels.

The themes extracted in the present study provide a roadmap for policy-makers and communication experts to utilize social media platforms for communicating and understanding the perception of preventive measures of vaccination and CAB. As evidenced by the increased engagement on social media platforms during the COVID-19-induced lockdown, digital platforms are indeed valuable from the communication perspective to be proactive in the event of a similar situation. Moreover, significant themes, including social media adaptivity, absence of knowledge-providing mechanism and perception of safety measures of the vaccine, are the critical parameters leading to an amplified effect on vaccine hesitancy.

The COVID-19 Vaccine Hesitancy Amplification Themes (CVHAT) equips stakeholders and government strategists with a preconfigured paradigm to tackle dedicated communication campaigns and assess digital community behavior during health emergencies COVID-19.

The increased acceptance of vaccines and the following of CAB decrease the advocacy of mutation of the virus and promote the healthy being of the people. As CAB has been mentioned as a preventive strategy against the COVID-19 pandemic, the research preposition promotes communication intervention which helps to mitigate future such pandemics. As developing, economies require effective communication strategies for vaccine acceptance and CAB, this study contributes to filling the gap using a digital environment.

Chan et al. (2020) recommended using social media platforms for public knowledge dissemination. The study observed that the value of a communication strategy is increased when communication happens using highly trusted and accessible channels such as Twitter and Facebook. With the preceding context, the present study is a novel approach to contribute toward digital communication strategies related to vaccination and CAB.