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Nov 2020 DOI 10.14302/issn.2641-4538.jphi-20-3621
Stapff ManfredCorresponding author
LG Chem Life Sciences Innovation Center, Cambridge, MA, USA
Context In the face of further waves of the COVID-19 pandemic it becomes essential to find a balance between protective actions to guard public health and restrictive measures which can collapse our economy. Background As a basis for public health decisions, officials still rely on metrics which were helpful in the beginning of the pandemic but are now not precise enough for a focused and targeted approach to keep the spread of the infection under control. This can lead to public mistrust, “pandemic tiredness”, and can cause unnecessary damage to the economy without having the desired protective effect on public health. Methods This article discusses various metrics, their advantages and caveats, and it provides suggestions for use in a more targeted and risk-based approach, as an alternative to the current “general lock-down” practice. It suggests the notion of including a concept of “risk contacts per area” to better describe the possibility of virus transmission than currently published metrics do. The article also suggests specific analyses of real-world data for identification of populations at risk for severe courses of COVID-19 to allow more targeted protective actions. Discussion Data currently used to describe the COVID-19 pandemic lack important parameters like population density and local likelihood of potentially infectious contacts. The currently often used “all or nothing” approach of shut-down orders needs to be replaced by more sophisticated tactics considering individual local exposure risks and need to be balanced towards metrics on economic short term and long-term impact. In addition, smart analyses of real-world data may contribute to effective protection of individuals at risk.
Jul 2016 DOI 10.14302/issn.2381-862X.jwrh-16-1060
Regassa NigatuCorresponding author
Visiting research scholar, University of Saskatchewan, SK, Saskatoon, Canada.
The low level of women autonomy and the key pre disposing factors affecting household decision makings among many population groups in Ethiopia is not well understood among scholars, and is less investigated. This study examined the status and the micro level factors associated with women autonomy in Sidama, the most populous zone in Southern Ethiopia. A simple random sampling technique (using the available complete listing of households) was used to select the 231 sample households from one of the districts of the zone. Sidama zone was selected due to its historically strong customs of patriarchal family system. Quantitative and qualitative data were obtained using structured questionnaire and focus group discussions. Household, women and husband characteristics were used as explanatory variables while women autonomy index, developed from a set of questions, served as the dependent variable. The study revealed that women’s decision makings on core household and personal issues were very low in the study population. The predicted probability, using Ordinary Least Square Regression shows that women’s education, alcohol intake by husbands, household size and land size were the main determinants of autonomy in decision makings in the study area. The study recommended that concerned bodies should capitalize on educating women and girls through both formal and informal learning platforms, promote income generation activities through entrepreneurship, increased access to property and economic assets, training, microfinance and markets.
Jun 2023 DOI 10.14302/issn.2766-8681.jcsr-23-4526
Isea RaúlCorresponding author
A large volume of data is being generated in public administration and it is necessary to develop new computational methodologies to classify and analyze it to do a better analysis and decision making. For this reason, the goal of this paper is to present a computational methodology that allows classifying and prioritizing a series of complaints using Artificial Intelligence techniques. To test this model, we generate 600 complaints in four sectors of the public administration to prove the concept. Later, we calculated the tree decision with the help of the Confusion Matrix, and finally the Priority Matrix (based on the Eisenhower model) allows setting priorities on the complaints, and offers the possibility of delegating and even postponing the response to them. In this way, it is possible to prioritize the complaints made in the public administration.
Nov 2022 DOI 10.14302/issn.2644-1101.jhp-22-4273
J. Grant Coke MoniqueCorresponding author
Canada
The purpose of this topic is to add to the body of good teaching and learning that helps create the conditions for more critical thinking and practice skills that enable, keep students interested, and consistently motivate them. Teachers now have a greater focus on implementing motivational learning and studying strategies that are more relevant to the processes of teaching and learning thanks to new methodologies, which have further enhanced instructional strategies for teaching and learning. Positive school cultures that are long-lasting will result from these new methods and strategies. According to the authors, educators have been impacted by evidence-based practice and data-based decision making within the educational system. As a result, there is a growing need for educators to learn more about these resources that are relevant to students and can lead to greater success. These applicable interventions have a positive effect on students, and the information that helps them make decisions increases their response.
Jun 2021 DOI 10.14302/issn.2474-3585.jpmc-21-3851
A. Njukeng PatrickCorresponding author
Global Health Systems Solutions, Douala, Cameroon
Background The rapid and ongoing spread of antimicrobial-resistant organisms threatens the ability to successfully prevent, control, or treat a growing number of infectious diseases in developed and developing countries. This study was designed to convey more insight on the profile of antimicrobial resistance and the capacity of laboratories conducting antimicrobial susceptibility testing in Cameroon. Methods A multicentre cross-sectional study was conducted from October 2019 to March 2020 in the Deido Health District. Laboratories that carry out culture and sensitivity testing within the Deido Health District were identified and assessed to determine their capacity as well as the quality of results from microbiological investigations. Information on antimicrobial susceptibility of various isolates was collected using tablet phones in which the study questionnaires had been incorporated. Results Gaps identified in antimicrobial susceptibility testing that cut across laboratories included; insufficient standard operating procedures, inadequate records on personnel training and competency assessment, lack of safety equipment such as biosafety cabinet, stock out and non-participation in external quality assurance program. The turnaround time for antimicrobial susceptibility testing ranged from 3 – 7 days. Out of the 1797 samples cultured, 437(24.3%) had at least one isolate. A total of 15 different isolates were identified with Candida albicans being the most frequent 178 (40.7%), followed by Escherichia coli 80(18.3%). Among the 15 classes of antimicrobial drugs used in this study, the overall resistance of the isolates showed that five classes had class median resistance above 40% (Cephalosporins, Penicillins, Beta-lactam, Macrolides, and Polyenes). Conclusion This study has shown the need to develop a coordinated national approach to fight antimicrobial resistance. Scaling-up of antimicrobial susceptibility testing will, therefore, require strengthening the microbiology units of laboratory systems as well as ensuring the use of laboratory data for decision making.
Apr 2021 DOI 10.14302/issn.2379-7835.ijn-21-3780
Khamis Al-AlawyCorresponding author
Mohammad Bin Rashid School of Government, Dubai, UAE
Obesity is a common and preventable Non-Communicable Disease that is of great importance. Population-based interventions are recognised to have a profound effect on improving health outcomes. One of these approaches includes the adoption of the Sugar-Sweetened Beverage (SSB) Tax. Objectives There were three objectives, 1) explore the associations between gender, age, nationality, and change in SSB consumption, 2) explore SSB consumption during Covid-19 lockdown, and 3) inform policy decision making. Methods A cross-sectional survey in the United Arab Emirates. We performed descriptive analysis and chi-square for independence to test the difference between the expected and the observed frequencies in one or more categories. Results Since the introduction of SSB tax, change in SSB consumption by gender, age or nationality was not statistically significant. Further analysis of the proportion of sugar intake per day was statistically significant (P-value <0.001) by nationality. There was no statistically significant change in SSB consumption by age, gender, or nationality during the Covid-19 lockdown. Further analysis within the group that reported change in SSB consumption suggests a majority (80.5%) reported a reduction in SSB consumption. Conclusions Change in SSB consumption by gender, age or nationality was not statistically significant since the introduction of SSB tax, or during Covid-19 lock-down; thus, we accept the Null Hypothesis. Imposing a levy on frequently consumed SSB or revisiting levy by the gram, volume, or type of added sugar (or in combination) may prove to be more effective in reducing SSB consumption. Further research is needed to determine the extent other demographic factors influence SSB consumption as well as the enablers and barriers associated with SSB consumption.
Mar 2021 DOI 10.14302/issn.2644-1101.jhp-21-3753
Jennifer Chinoye AmadiCorresponding author
Centre For Conflict and Gender Studies, Social Sciences, University of Port Harcourt
People tend to believe that power imbalance that women and men experience in an intimate relationship is natural, the way it should be and of course, something that should not be debated. The problem with this argument and/or generalisation is that it usually suggests that hegemonic masculinity should not be interrogated. In Africa, power imbalances are one of the challenges that have limited women in society. This practice is influenced by culture, religion, traditional practices and laws which influence perceptions, and expectations of people in intimate relationships. This study, Power imbalances among intimate partners in Obio-Akpor Local Government Area encapsulate the dynamics of gender power relations that exist in intimate, heterosexual relationships in four communities. This study seeks to examine intimate partners’ perception of decision making, the extent of its social acceptability and relevance of their socio-economic circumstances towards power imbalances. The population for this study was twenty-seven thousand three hundred and fifty-five. Sample size was calculated using the Taro Yamame determination technique which stood at three hundred and ninety-four. The study employed a survey research design which consisted of twenty-two items on a four-point Likert scale of (Agree, Strongly Agree, Disagree, and Strongly Disagree). Simple percentage (%) and frequency table was used to analyze the data. The study found that partners socio-economic circumstances did not reflect a significant degree of influence on power imbalances. This study therefore, recommend for responsive gender equality programmes that support and empower both partners.
Dec 2020 DOI 10.14302/issn.2641-4538.jphi-20-3427
K. Langat SimonCorresponding author
Automation of human tasks has taken place for a long time now. Humans have in earlier periods dreamed of a world where machines capable of mimicking decision making would be created with some works of fiction describing in caricature, how machines would take over the human space in the world. Artificial intelligence has come to fruition in the last few decades following the development of fast computing capability and vast chip memory. Discussions of how the human space will look and feel when artificial intelligence have taken place at various levels of global organization geared towards ensuring that the new “thinking machines” do not rock human society in ways to render them obsolete. This article looks at the ethics of AI considering the issues that have been outlined by others in the light of communitarian ethics as seen in Africa. It describes the possible impact of thinking machines on society and how individuals would relate with each other and with AI systems.
Jan 2019 DOI 10.14302/issn.2693-1176.ijgh-18-2523
Nour KareenCorresponding author
University of Sherbrooke and CISSS Montérégie-Centre
This study explores the effects of the collaborative model of health impact assessment (HIA), as deployed in Monteregie (Quebec), on the development, adoption and implementation of municipal projects that include health considerations. Nine HIA processes were studied in nine territories and 35 individuals were interviewed. Data collection was based on the six steps of contribution analysis, and included document analysis, semi-structured interviews, and on-site observations. The study design is cross-sectional design were every HIA was analysed at least six month after completion. The individuals interviewed where those implicated into the HIA process (no matter at what point of the process). No exclusion criteria were applied considering that all points of view were important for this analysis. The Contribution Analysis (CA) was used to analyze the data. The study results emerged form by the interviews, the field observations and document analysis. They showed that the HIAs had varying results. First, the actors involved acquired new knowledge. However, the HIAs had little impact in terms of increasing the municipal actors’ awareness of health issues. Rather, it helped them acquire arguments for raising awareness among and convincing their municipal council members of the merits of certain actions and their potential positive impacts on citizens’ health. In fact, the HIAs were generally undertaken by municipal actors already aware of the importance of promoting citizen health. Second, as observed in the document, in a few of the HIAs, some recommendations were integrated into planning documents, but usually, as reported by the actor, the HIA report constituted an additional planning document and was not merged with the original planning documents. Lastly, following the HIAs, document analysis and interviews showed that most of the municipal actors continued to include health considerations in their subsequent planning of public policies and projects. Prerequisites for effective HIA include the presence of municipal actors, who are aware of the importance of their role in their local population’s health, municipal policies that include health considerations, and the municipality’s active participation in the HIA process. This study sheds light on the complexity of the factors that ensure HIA impact on municipal decision making and decisions. The particularities of each HIA process play a major role.
May 2018 DOI 10.14302/issn.2640-690X.jfm-18-2088
Yao Gbagbo FredCorresponding author
University of Education Winneba, Department of Health Administration & Education. P.O. Box 25 Winneba, Ghana.
Background: Despite liberal abortion laws and wide availability of contraceptives in Ghana, declining Post Abortion Contraception remains a public health challenge due to early unplanned pregnancies and recurrent abortions. The development of this model was therefore to address challenges of low contraception following induced abortion in health facilities within the capital city of Ghana. Method: The development of this model was an outcome of a nested study title: ‘decision making for induced abortion in Accra metropolis, Ghana’ in 2014. This model was piloted for four years using Marie Stopes, Ipas and Ghana Health Service trained abortion providers with family planning skills in one hundred purposively selected health facilities comprising 90 private and 10 Non-Governmental Organization mandated by law to provide safe abortion care services in the capital city of Ghana. The model mainly focused on contraceptive products, pricing, placement, promotion and people. Results: There was an increase (90% average) in Post Abortion Contraception across the selected facilities following the intervention using the model. Conclusion: The study concludes that an integration of products, pricing, placement, promotion and people with options counselling prior to an induced abortion are key considerations for an improved post abortion contraception uptake in developing countries.