Yellow fever in Ghana: Predicting emergence and ecology from historical outbreaks.

Understanding the epidemiology and ecology of yellow fever in endemic regions is critical for preventing future outbreaks. Ghana is a high-risk country for yellow fever. In this study we estimate the epidemiology, ecological cycles, and areas at risk for yellow fever in Ghana based on historical outbreaks. We identify 2371 cases and 887 deaths (case fatality rate 37.4%) from yellow fever reported in Ghana from 1910 to 2022. Since implementation of routine childhood vaccination in 1992, the estimated mean annual number of cases decreased by 81% and the geographic distribution of yellow fever cases also changed. While there have been multiple large historical outbreaks of yellow fever in Ghana from the urban cycle, recent outbreaks have originated among unvaccinated nomadic groups in rural areas with the sylvatic/savanna cycles. Using machine learning and an ecological niche modeling framework, we predict areas in Ghana that are similar to where prior yellow fever outbreaks have originated based on temperature, precipitation, landcover, elevation, and human population density. We find differences in predictions depending on the ecological cycles of outbreaks. Ultimately, these findings and methods could be used to inform further subnational risk assessments for yellow fever in Ghana and other high-risk countries.

Surveying and mapping breast cancer services in Ghana: a cross-sectional pilot study in the Eastern Region.

OBJECTIVES: Define the services available for the care of breast cancer at hospitals in the Eastern Region of Ghana, identify areas of the region with limited access to care through geospatial mapping, and test a novel survey instrument in anticipation of a nationwide scale up of the study. DESIGN: A cross-sectional, facility-based survey study. SETTING: This study was conducted at 33 of the 34 hospitals in the Eastern Region of Ghana from March 2020 to May 2020. PARTICIPANTS: The 33 hospitals surveyed represented 97% of all hospitals in the region. This included private, government, quasi-government and faith-based organisation owned hospitals. RESULTS: Sixteen hospitals (82%) surveyed provided basic screening services, 11 (33%) provided pathological diagnosis and 3 (9%) provided those services in addition to basic surgical care.53%, 64% and 78% of the population lived within 10 km, 25 km and 45 km of screening, diagnostic and treatment services respectively. Limited chemotherapy was available at two hospitals (6%), endocrine therapy at one hospital (3%) and radiotherapy was not available. Twenty-nine hospitals (88%) employed a general practitioner and 13 (39%) employed a surgeon. Oncology specialists, pathology personnel and a plastic surgeon were only available in one hospital (3%) in the Eastern Region. CONCLUSIONS: Although 16 hospitals (82%) provided screening, only half the population lived within reasonable distance of these services. Few hospitals offered diagnosis and surgical services, but 64% and 78% of the population lived within a reasonable distance of these hospitals. Geospatial analysis suggested two priorities to cost-effectively expand breast cancer services: (1) increase the number of health facilities providing screening services and (2) centralise basic imaging, pathological and surgical services at targeted hospitals.

Reported bed net ownership and use in social contacts is associated with uptake of bed nets for malaria prevention in pregnant women in Ghana.

BACKGROUND: Despite progress made in the last decades, malaria persists as a pressing health issue in sub-Saharan Africa. Pregnant women are particularly vulnerable to infection and serious health outcomes for themselves and their unborn child. Risk can be mitigated through appropriate use of control measures such as insecticide-treated bed nets. Although social networks can influence uptake of preventive strategies, the role of social influence on bed net ownership has not been explored. During an evaluation of a bed net distribution programme, the influence of non-health care advisors on ownership and use of bed nets by pregnant women in Kumasi, Ghana was examined. METHODS: Data were collected through in-person interviews with 300 pregnant women seeking antenatal care in an urban hospital in Kumasi, Ghana. Participants were asked about their bed net ownership, bed net use, and information about three personal contacts that they go to for pregnancy advice. Information about these advisors was combined into an influence score. Logistic regression models were used to determine the association between the score and bed net ownership. Those who owned a bed net were further assessed to determine if interpersonal influence was associated with self-reported sleeping under the bed net the previous night. RESULTS: Of the 294 women in the analysis, 229 (78%) reported owning bed nets. Of these bed net owners, 139 (61%) reported using a bed net the previous night. A dose response relationship was observed between the interpersonal influence score and bed net ownership and use. Compared to the lowest influence score, those with the highest influence score (>1 SD above the mean) were marginally more likely to own a bed net [OR = 2.37, 95% CI (0.87, 6.39)] and much more likely to use their bed net [5.38, 95% CI (1.89, 15.25)] after adjusting for other factors. CONCLUSIONS: Interpersonal influence appears to have modest impact on ownership and use of bed nets by pregnant women in an urban area of Ghana. Further investigations would need to be conducted to determine if the relationship is causal or if individuals who associate are simply more likely to have similar practices.