Improved detection of microbiological pathogens: role of partner and non-governmental organizations.

BACKGROUND: Proper detection of disease-causing organisms is very critical in controlling the course of outbreaks and avoiding large-scale epidemics. Nonetheless, availability of resources to address these gaps have been difficult due to limited funding. This report sought to highlight the importance of in-country partners and non-governmental organizations in improving detection of microbiological organisms in Ghanaian Public Health Laboratories (PHLs). METHODS/CONTEXT: This study was conducted between June, 2018 to August, 2019. U. S CDC engaged the Centre for Health Systems Strengthening (CfHSS) through the Association of Public Health Laboratories to design and implement strategies for strengthening three PHLs in Ghana. An assessment of the three PHLs was done using the WHO/CDS/CSR/ISR/2001.2 assessment tool. Based on findings from the assessments, partner organizations (CfHSS/APHL/CDC) serviced and procured microbiological equipment, laboratory reagents and logistics. CfHSS provided in-house mentoring and consultants to assist with capacity building in detection of epidemic-prone infectious pathogens by performing microbiological cultures and antimicrobial susceptibility tests. RESULTS: A total of 3902 samples were tested: blood (1107), urine (1742), stool (249) and cerebrospinal fluid (CSF) (804). All-inclusive, 593 pathogenic bacteria were isolated from blood cultures (70; 11.8%); urine cultures (356; 60%); stool cultures (19; 3.2%) and from CSF samples (148; 25%). The most predominant pathogens isolated from blood, urine and stool were Staphylococcus aureus (22/70; 31%), Escherichia coli (153/356; 43%) and Vibrio parahaemolyticus (5/19; 26.3%), respectively. In CSF samples, Streptococcus pneumoniae was the most frequent pathogen detected (80/148; 54.1%). New bacterial species such as Pastuerella pneumotropica, Klebsiella oxytoca, Vibrio parahaemolyticus, and Halfnia alvei were also identified with the aid of Analytical Profile Index (API) kits that were introduced as part of this implementation. Streptococcus pneumoniae and Neisseria meningitidis detections in CSF were highest during the hot dry season. Antimicrobial susceptibility test revealed high rate of S. aureus, K. pneumoniae and E. coli resistance to gentamicin (35-55%). In urine, E. coli was highly resistant to ciprofloxacin (39.2%) and ampicillin (34%). CONCLUSION: Detection of epidemic-prone pathogens can be greatly improved if laboratory capacity is strengthened. In-country partner organizations are encouraged to support this move to ensure accurate diagnosis of diseases and correct antimicrobial testing.

Baseline comparative analysis and review of election forensics: Application to Ghana's 2012 and 2020 presidential elections.

Many allegations have been levelled against the electoral process of many countries across the world by most opposition leaders, especially when they lose a presidential election e.g. Ghana in 2012 and 2020. Therefore, the need to apply election forensic techniques to the certified election results data of valid votes count to statistically verify if some suspected or possible anomalies and irregularities exist in the voting pattern. This paper seeks to provide a comprehensive review of election forensics techniques and make a comparative analysis of Benford's Second-order test of conformity (using the first two digits) and Hartigans' dip test of unimodality to examine the existence of possible anomalies and irregularities in the 2012 and 2020 presidential elections held in Ghana. The findings of the two tests suggest that the electoral process produced possible anomalous data in the 2012 presidential election results (with an overall 16.67% suspected anomalies), whilst possible non-anomalous data was produced in the 2020 presidential election results (with an overall 0% suspected anomaly) of valid votes count. Therefore, the study recommends that for better statistical data analysis on election anomaly detection, Benford's test of conformity and Hartigans' dip test of unimodality should serve as baseline tests (initial screening tools), highlighting areas that may require further investigation or more rigorous analysis and progressively dig deeper into the application of finite mixture fraud models and machine learning techniques. In spite of the promising results Benford's Law, dip test, machine learning algorithms, and network analysis have produced in detecting irregularities in election data, real-world applications remain challenging, particularly when dealing with complex and evolving forms of fraud. Therefore, there is the need for continuous research and innovation to improve the accuracy and effectiveness of these methods and promote transparency and accountability in democratic societies.

Surveillance and laboratory collaboration in response to an outbreak of Vibrio parahaemolyticus, Plesiomonas shigelloides, and Aeromonas hydrophila in Sekondi-Takoradi, Ghana: a case series.

BACKGROUND: The detection of epidemic-prone pathogens is important in strengthening global health security. Effective public health laboratories are critical for reliable, accurate, and timely testing results in outbreak situations. Ghana received funding as one of the high-risk non-Ebola affected countries to build and strengthen public health infrastructure to meet International Health Regulation core capacities. A key objective was to build laboratory capacities to detect epidemic-prone diseases. CASE PRESENTATION: In June 2018, a local hospital received eight patients who presented with acute diarrhea. A sample referral system for Ghana has not been established, but the Sekondi Zonal Public Health Laboratory staff and mentors collaborated with Disease Surveillance Officers (DSOs) to collect, package, and transport stool specimens from the outbreak hospital to the Public Health Laboratory for laboratory testing. The patients included seven females and one male, of Fante ethnicity from the Fijai township of Sekondi-Takoradi Municipality. The median age of the patients was 20 years (interquartile range: 20-29 years). Vibrio parahaemolyticus was identified within 48 hours from four patients, Plesiomonas shigelloides from one patient, and Aeromonas hydrophila from another patient. There was no bacteria growth from the samples from the two other patients. All patients were successfully treated and discharged. CONCLUSION: This is the first time these isolates have been identified at the Sekondi Zonal Public Health Laboratory, demonstrating how rapid response, specimen transportation, laboratory resourcing, and public health coordination are important in building capacity towards achieving health security. This capacity building was part of the United States Centers for Disease Control and Prevention engagement of international and local partners to support public health laboratories with supplies, diagnostic equipment, reagents, and logistics.