Geospatial clustering of meningitis: an early warning system (hotspot) for potential meningitis outbreak in upper east region of Ghana

Objective: We mapped and generated hot spots for potential meningitis outbreak from existing data in Upper East region, Ghana.Design: This was a cross-sectional study conducted in 2017Data Source: Meningitis data in the Upper East Region from January 2007, to December 2016.Main outcome measure: We used spatial tools in Quantum Geographic Information System (QGIS) and Geoda to draw choropleth map of meningitis incidence, case fatality and hotspot for potential meningitis outbreak Results: A total of 2312 meningitis cases (suspected and confirmed) were recorded from 2016-2017 with median incidence of 15.0cases/100,000 population (min 6.3, max 47.8). Median age of cases was 15 years (IQR: 6-31 years). Most (44.2%) of those affected were 10 years and below. Females (51.2%) constituted the highest proportion. Median incidence from 2007-2011 was 20cases/100,000 population (Min 11.3, Max 39.9) whilst from 2012-2016 was 11.1cases/100,000 populations (Min 6.3, Max 47.8). A total of 28 significant hotspot sub-districts clusters (p=0.024) were identified with 7 High-high risk areas as potential meningitis outbreak spots.Conclusion: The occurrence of meningitis is not random, spatial cluster with high –high-risk exist in some sub-districts. Overall meningitis incidence and fatality rate have declined in the region with district variations. Districts with high meningitis incidence and fatality rates should be targeted for intervention.Keywords: meningitis outbreak, geospatial clustering, Upper East Region, meningitis incidence, GhanaFunding: Author EA was supported by the West Africa Health Organization (Ref.: Prog/A17IEpidemSurveillN°57212014/mcrt)

Retrospective Study of an Epidemic Vibrio cholerae in the Central Region of Ghana

Background: In October 2016, a cholera outbreak occurred in the Cape Coast Metropolis, Central Region, Ghana, spreading rapidly in peri-urban communities.The Researchers conducted a descriptive analysis of surveillance data to examine the epidemiological characteristics of this outbreak. Methods: The retrospective analysis covered cholera cases from October to December 2016, focusing on onset date, age, sex, rapid diagnostic test (RDT) results, and residence. Pearson’s chi-square/Fisher’s exact tests were used to find associations. Results: The outbreak comprised 731 cases, resulting in an overall attack rate of 67 per 100,000 population, with no reported fatalities. The epidemic curve exhibited multiple progressive peaks, indicative of a person-to-person transmission outbreak. The mean age of affected individuals was 23, and 40% of cases occurred in the 15 - 24 age group. There was no significant gender difference (p = 0.619). Cape Coast Metropolis accounted for nearly 90% of cases, while Abura-Asebu-Kwamankese (AAK) and Komenda-Edina-Eguafo Abirem(KEEA) contributed to the remaining 10%. RDT results were significantly associated with bacterial culture (p < 0.001), and sex was linked to final case classification (p = 0.004). Conclusion: The Cholera outbreak was attributed to poor sanitation, hygiene, and water/food quality. Future interventions should prioritize addressing environmental and behavioural factors to prevent similar outbreaks in the future

Assessment of knowledge and treatment practices of hepatitis B infection in children among health professionals in Krachi districts in Ghana:a cross-sectional study

Background. Hepatitis B virus (HBV) infection remains one of the neglected infectious diseases. Children infected with HBV are at higher risk of becoming chronic carriers. Barriers to measures against HBV in children are attributed to inadequate knowledge by some health professionals. This study assessed knowledge and treatment practices of HBV in children among health professionals. Materials and Methods. A cross-sectional survey was conducted among health professionals (185) in three districts in Krachi using a structured questionnaire. Stata version 15 was used to analyze participants’ responses on awareness, knowledge, and treatment practices. Pearson’s product-moment correlation was used to determine the relationship between knowledge and treatment practices. Multivariate regression analysis assessed the relationships between variables at P&lt;0.05 and 95% confidence interval. Results. 20% were not aware of HBV in children and 85% had only fair knowledge about HBV in children. Only 29% indicated good knowledge and treatment practices of HBV in children. A unit increase in knowledge of HBV in children leads to a 1.42 unit increase in awareness (P&lt;0.01), and a 1.3 unit increase in treatment practice (P&lt;0.01) of HBV in children. Conclusions. Participants demonstrated only fair knowledge about HBV in children. Seminars and workshops on HBV in children for health professionals must intensify.</p

Upsurge in meningitis cases in Jirapa district, 2017, Upper West - Ghana

Introduction: Meningitis is the inflammation of the meninges. In the first eight (8) epidemiological weeks of 2017, Jirapa District, Upper West Region, Ghana recorded 41 suspected cases with six deaths and this had exceeded the alert threshold of 5 suspected cases per 100,000 population per week. We therefore conducted an epidemiological investigation, assessed surveillance and epidemic response and helped implement control measures. Methods: We conducted a descriptive study in Jirapa District 21st to 25th March, 2017. We reviewed patient records from January to March with clinicians, response and surveillance assessment and searched for cases. The case definition was any person living in Jirapa District and reporting with or without fever of acute onset with neck stiffness, poor sucking (in infants), bulging fontanelles (in infants), altered consciousness, other signs of meningeal irritation/inflammation from 1st January to 25th March, 2017. Descriptive analysis was performed and expressed as frequencies and proportions with Microsoft Excel, 2016. Results: Sixty-one cases were recorded, of which 10 were confirmed with seven deaths (CFR=70%). Most were female 32 (53.33%) and majority, 21 (34.4%) below age 10 years. Streptococcus pneumoniae was the causative organism in all the 10 samples. Although the number of reported meningitis cases and the CFR were high, the epidemic threshold of 10 suspected cases per 100,000 population per week was not crossed. There was an active surveillance and effective rapid response team in the district conducted health education and contact tracing when the number of cases were increasing. Conclusion: Jirapa District saw an increase in the number of reported meningitis cases in 2017. An active surveillance system and effective rapid response team in the district prevented a potential outbreak. Communities were educated on risk factors, preventive measures to reduce spread and the need for early reporting

Preparing for future outbreaks in Ghana:An overview of current COVID-19, monkeypox, and Marburg disease outbreaks

Amidst the ongoing COVID-19 pandemic, Ghana is currently grappling with simultaneous outbreaks of Marburg virus disease and human monkeypox virus. The coexistence of these outbreaks emphasizes the imperative for a collaborative and global approach to enhance surveillance and expedite case detection. While Ghana has made efforts to respond to these outbreaks, this paper outlines the lessons learned and proposes recommendations in this regard. It is crucial to intensify response efforts at the local, regional, and national levels to effectively contain the spread of these infectious diseases. Therefore, this paper suggests prioritizing the following recommendations as crucial for assisting Ghana in adequately preparing for future outbreaks and safeguarding global public health: strengthening surveillance system through digitization, rapid and effective response; risk communication and community engagement; healthcare system readiness; and research and collaboration. Also, prioritizing building healthy public policies and developing personal skills of health personnel across the country is key for future outbreak response.</p

The role of digital surveillance during outbreaks:the Ghana experience from COVID‑19 response

Over the years, Ghana has made notable strides in adopting digital approaches to address societal challenges and meet demands. While the health sector, particularly the disease surveillance structure, has embraced digitization to enhance case detection, reporting, analysis, and information dissemination, critical aspects remain to be addressed. Although the Integrated Disease Surveillance and Response (IDSR) structure has experienced remarkable growth in digitization, certain areas require further attention as was observed during the COVID-19 pandemic. Ghana duringthe COVID-19 pandemic, recognized the importance of leveraging digital technologies to bolster the public health response. To this end, Ghana implemented various digitalsurveillance tools to combat the pandemic. These included the ‘Surveillance Outbreak Response Management and Analysis System (SORMAS)’, the digitalized health declaration form, ArcGIS Survey123, Talkwalker, ‘Lightwave Health information Management System’ (LHIMS), and the ‘District Health Information Management System (DHIMS)’. These digital systems significantly contributed to the country's success in responding to the COVID-19 pandemic. One key area where digital systems have proved invaluable is in the timely production of daily COVID-19 situational updates. This task would have been arduous and delayed if reliant solely on paper-based forms, which hinder efficient reporting to other levels within the health system. By adopting these digital systems, Ghana has been able to overcome such challenges and provide up-to-date information for making informed public health decisions.This paper attempts to provide an extensive description of the digital systems currently employed to enhance Ghana's paper-based disease surveillance system in the context of its response to COVID-19. The article explores the strengths andchallenges or limitations associated with these digital systems for responding to outbreaks, offering valuable lessons that can be learned from their implementation.<br/

Preparing for future outbreaks in Ghana: An overview of current COVID-19, monkeypox, and Marburg disease outbreaks

Amidst the ongoing COVID-19 pandemic, Ghana is currently grappling with simultaneous outbreaks of Marburg virus disease and human monkeypox virus. The coexistence of these outbreaks emphasizes the imperative for a collaborative and global approach to enhance surveillance and expedite case detection. While Ghana has made efforts to respond to these outbreaks, this paper outlines the lessons learned and proposes recommendations in this regard. It is crucial to intensify response efforts at the local, regional, and national levels to effectively contain the spread of these infectious diseases. Therefore, this paper suggests prioritizing the following recommendations as crucial for assisting Ghana in adequately preparing for future outbreaks and safeguarding global public health: strengthening surveillance system through digitization, rapid and effective response; risk communication and community engagement; healthcare system readiness; and research and collaboration. Also, prioritizing building healthy public policies and developing personal skills of health personnel across the country is key for future outbreak response

Rabies virus in slaughtered dogs for meat consumption in Ghana: A potential risk for rabies transmission

Dog-mediated rabies is responsible for approximately 60,000 human deaths annually worldwide. Although dog slaughter for human consumption and its potential risk for rabies transmission has been reported, mainly in some parts of Western Africa and South-East Asia, more information on this and factors that influence dog meat consumption is required for a better understanding from places like Ghana where the practice is common. We tested 144 brain tissues from apparently healthy dogs slaughtered for human consumption for the presence of rabies viruses using a Lyssavirus-specific real-Time RT-PCR. Positive samples were confirmed by virus genome sequencing. We also administered questionnaires to 541 dog owners from three regions in Ghana and evaluated factors that could influence dog meat consumption. We interacted with butchers and observed slaughtering and meat preparation procedures. Three out of 144 (2.1%) brain tissues from apparently healthy dogs tested positive for rabies virus RNA. Two of the viruses with complete genomes were distinct from one another, but both belonged to the Africa 2 lineage. The third virus with a partial genome fragment had high sequence identity to the other two and also belonged to the Africa 2 lineage. Almost half of the study participants practiced dog consumption [49% (265/541)]. Males were almost twice (cOR = 1.72, 95% CI (1.17-2.52), p-value = .006) as likely to consume dog meat compared to females. Likewise, the Frafra tribe from northern Ghana [cOR = 825.1, 95% CI (185.3-3672.9), p-value < .0001] and those with non-specific tribes [cOR = 47.05, 95% CI (10.18-217.41), p-value < .0001] presented with higher odds of dog consumption compared to Ewes. The butchers used bare hands in meat preparation. This study demonstrates the presence of rabies virus RNA in apparently healthy dogs slaughtered for human consumption in Ghana and suggests a potential risk for rabies transmission. Veterinary departments and local assemblies are recommended to monitor and regulate this practice

The role of digital surveillance during outbreaks: the Ghana experience from COVID‑19 response

Over the years, Ghana has made notable strides in adopting digital approaches to address societal challenges and meet demands. While the health sector, particularly the disease surveillance structure, has embraced digitization to enhance case detection, reporting, analysis, and information dissemination, critical aspects remain to be addressed. Although the Integrated Disease Surveillance and Response (IDSR) structure has experienced remarkable growth in digitization, certain areas require further attention as was observed during the COVID-19 pandemic. Ghana during the COVID-19 pandemic, recognized the importance of leveraging digital technologies to bolster the public health response. To this end, Ghana implemented various digital surveillance tools to combat the pandemic. These included the “Surveillance Outbreak Response Management and Analysis System (SORMAS)”, the digitalized health declaration form, ArcGIS Survey123, Talkwalker, “Lightwave Health information Management System” (LHIMS), and the “District Health Information Management System (DHIMS)”. These digital systems significantly contributed to the country's success in responding to the COVID-19 pandemic. One key area where digital systems have proved invaluable is in the timely production of daily COVID-19 situational updates. This task would have been arduous and delayed if reliant solely on paper-based forms, which hinder efficient reporting to other levels within the health system. By adopting these digital systems, Ghana has been able to overcome such challenges and provide up-to-date information for making informed public health decisions. This paper attempts to provide an extensive description of the digital systems currently employed to enhance Ghana's paper-based disease surveillance system in the context of its response to COVID-19. The article explores the strengths and challenges or limitations associated with these digital systems for responding to outbreaks, offering valuable lessons that can be learned from their implementation

Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data.

Governments around the world have implemented non-pharmaceutical interventions to limit the transmission of COVID-19. Here we assess if increasing NPI stringency was associated with a reduction in COVID-19 cases in Ghana. While lockdowns and physical distancing have proven effective for reducing COVID-19 transmission, there is still limited understanding of how NPI measures are reflected in indicators of human mobility. Further, there is a lack of understanding about how findings from high-income settings correspond to low and middle-income contexts. In this study, we assess the relationship between indicators of human mobility, NPIs, and estimates of Rt, a real-time measure of the intensity of COVID-19 transmission. We construct a multilevel generalised linear mixed model, combining local disease surveillance data from subnational districts of Ghana with the timing of NPIs and indicators of human mobility from Google and Vodafone Ghana. We observe a relationship between reductions in human mobility and decreases in Rt during the early stages of the COVID-19 epidemic in Ghana. We find that the strength of this relationship varies through time, decreasing after the most stringent period of interventions in the early epidemic. Our findings demonstrate how the association of NPI and mobility indicators with COVID-19 transmission may vary through time. Further, we demonstrate the utility of combining local disease surveillance data with large scale human mobility data to augment existing surveillance capacity to monitor the impact of NPI policies