In developing countries, the lack of safe water options leads to many health risks. In the Ethiopian Rift Valley, most water sources are contaminated with an excess of fluoride. The consumption of fluoride-contaminated water leads to dental and skeletal fluorosis. The article presents an approach to designing community interventions based on evidence from quantitative data. After installing a community filter, a baseline study was conducted in 211 households to survey the acceptance and usage of the filter. To identify important psychological factors that lead to health behavior change, the Risk, Attitude, Norm, Ability, Self-regulation (RANAS) model was taken into account. Descriptive statistics were calculated for behavioral determinants, and their influence on consumption was analyzed with a linear regression. For every behavioral factor, an intervention potential (IP) was calculated. It was found that perceived distance, factual knowledge, commitment, and taste strongly influenced participants' consumption behavior and therefore should be tackled for interventions.

Aim The occurrence of high fluoride concentrations in the ground-and surface water all over the world leads to the risk of developing dental and skeletal fluorosis. In Ethiopia, 8 million people depend on water sources with excessive fluoride. In four project areas in the Ethiopian Rift Valley, fluoride removal household filters based on bone char media have been implemented. This study examines possible predictors of consuming filtered water derived from various behavior change theories. Subject and methods In a complete cross-sectional survey, 160 filter users were interviewed through structured face-toface interviews. A logistic regression was carried out to reveal factors predicting consumption of filtered water. ResultsThe results show that the consumption of fluoridefree water is mainly related to people's pride in offering filtered water to guests (status norm) and the feeling of being able to produce enough water with the filter (perceived behavioral control). Moreover, the study showed that the more filter users like the taste of filtered water and the more expensive they perceive the filter media, the more likely users will exclusively consume filtered water (attitudinal beliefs). Furthermore, perceiving the act of filling as a matter of habit (perceived habit) enhances filtered water consumption.Conclusion Based on the results, possible intervention strategies to change the influential psychological factors and, hence, increase the consumption of treated water can be designed.

Countries of the World Health Organization (WHO) African Region have experienced a wide range of coronavirus disease 2019 (COVID-19) epidemics. This study aimed to identify predictors of the timing of the first COVID-19 case and the per capita mortality in WHO African Region countries during the first and second pandemic waves and to test for associations with the preparedness of health systems and government pandemic responses. Using a region-wide, country-based observational study, we found that the first case was detected earlier in countries with more urban populations, higher international connectivity and greater COVID-19 test capacity but later in island nations. Predictors of a high first wave per capita mortality rate included a more urban population, higher pre-pandemic international connectivity and a higher prevalence of HIV. Countries rated as better prepared and having more resilient health systems were worst affected by the disease, the imposition of restrictions or both, making any benefit of more stringent countermeasures difficult to detect. Predictors for the second wave were similar to the first. Second wave per capita mortality could be predicted from that of the first wave. The COVID-19 pandemic highlights unanticipated vulnerabilities to infectious disease in Africa that should be taken into account in future pandemic preparedness planning.

Two hundred million people worldwide are at risk of developing dental and skeletal fluorosis due to excessive fluoride uptake from their water. Since medical treatment of the disease is difficult and mostly ineffective, preventing fluoride uptake is crucial. In the Ethiopian Rift Valley, a fluoride-removal community filter was installed. Despite having access to a fluoride filter, the community used the filter sparingly. During a baseline assessment, 173 face-to-face interviews were conducted to identify psychological factors that influence fluoride-free water consumption. Based on the results, two behavior-change campaigns were implemented: a traditional information intervention targeting perceived vulnerability, and an evidence-based persuasion intervention regarding perceived costs. The interventions were tailored to household characteristics. The campaigns were evaluated with a survey and analyzed in terms of their effectiveness in changing behavior and targeted psychological factors. While the intervention targeting perceived vulnerability showed no desirable effects, cost persuasion decreased the perceived costs and increased the consumption of fluoride-free water. This showed that altering subjective perceptions can change behavior even without changing objective circumstances. Moreover, interventions are more effective if they are based on evidence and tailored to specific households.

Evidence suggests that the effectiveness of technology designed to provide safe and healthy water is dependent on the degree of its use. In addition to providing safe water "hardware" (i.e., new infrastructure or equipment) to populations at risk, it might be necessary to also provide suitable "software" programs (behavior change strategies) to support use. A longitudinal survey was conducted in rural Ethiopia following the distribution of fluoride-removal household filters. Three intervention groups were evaluated. Group 1 only received the hardware, i.e., the fluoride-removal filter. Groups 2 and 3 also received software in the form of two evidence-based psychological interventions: a planning and social prompts intervention and an educational workshop with pledging. Group 2 received both software interventions, and Group 3 only received the educational workshop. The effects of the hardware and software on behavior and thus filter use were analyzed along with specific psychological factors. The results showed that the provision of the hardware alone (the fluoride-removal filter) was not enough to ensure sufficient use of the equipment. The addition of a software component in the form of psychological interventions increased filter use up to 80%. An increase in filter use was measured following each intervention resulting in the health-risk being minimized. We conclude that it is necessary that the implementation of hardware of this nature is accompanied by evidence-based intervention software.