Evaluation of surveillance system for pneumonia in children below five years, Tema Metropolis, Ghana, 2012 – 2016

Background: We evaluated the pneumonia surveillance system in Tema Metropolis to determine whether it is meeting its objectives and to assess its attributes.Design: Descriptive primary and secondary data analysisData Source: We interviewed health staff on the system’s operation and resources. We also extracted 2012-2016 surveillance dataset for under-five pneumonia cases and deaths from the District Health Information Management System for review.Participants: Health staffIntervention: The Centers for Disease Control (CDC) updated guidelines for evaluating surveillance systems was used to assess system attributes. Main outcome measure: state of the pneumonia surveillance system in TemaResults: A suspected case was defined as fast breathing in any child < 5 years old. The case definition was easy to apply, even at the community level. From 2012 to 2016, a total of 3,337 cases and 54 deaths (case fatality rate 1.6%) was recorded from 13 (23.6%) of 55 health facilities. Two epidemics were missed by the district because data were not being analysed. There were no laboratory data on antimicrobial resistance. Although reporting timeliness increased from 28.1% in 2012 to 83% in 2016, data inconsistencies existed between reporting levels.Conclusion: The surveillance system for under-five pneumonia in Tema Metropolis is simple, stable, flexible, timely,but of low sensitivity and acceptability, and only partly meeting its objectives. Major shortcomings are lack of laboratory data, non-use of data and low representativeness.Keywords: Under-five Pneumonia, Surveillance System Evaluation, Tema, GhanaFunding: The study was supported by a grant to author DB by the President’s Malaria Initiative (PMI) -CDC CoAg 6NU2GGH00187

Rapid high throughput SYBR green assay for identifying the malaria vectors Anophelese arabiensis, Anopheles coluzzii and Anopheles gambia s.s. Giles

The Anopheles gambiae sensu lato species complex consists of a number of cryptic species with different habitats and behaviours. These morphologically indistinct species are identified by chromosome banding. Several molecular diagnostic techniques for distinguishing between An. coluzzii and An. gambiae are still under improvement. Although, the current SINE method for identification between An. coluzzii and An. gambiae works reliably, this study describes a refinement of the SINE method to increase sensitivity for identification of An. coluzzii, An. gambiae and An. arabiensis based on amplicon dissociation curve characteristics. Field-collected samples, laboratory-reared colonies and crossed specimens of the two species were used for the design of the protocol. An. gambiae, An. coluzzii, and hybrids of the two species were sampled from Ghana and An. arabiensis from Kenya. Samples were first characterised using conventional SINE PCR method, and further assayed using SYBR green, an intercalating fluorescent dye. The three species and hybrids were clearly differentiated using the melting temperature of the dissociation curves, with derivative peaks at 72˚C for An. arabiensis, 75˚C for An. gambiae and 86˚C for An. coluzzii. The hybrids (An. gambiae / An. coluzzii) showed both peaks. This work is the first to describe a SYBR green real time PCR method for the characterization of An. arabiensis, An. gambiae and An. coluzzii and was purposely designed for basic melt-curve analysis (rather than high-resolution melt-curve) to allow it to be used on a wide range of real-time PCR machines

Evaluation of neonatal mortality data completeness and accuracy in Ghana.

BackgroundCause-specific mortality data are required to set interventions to reduce neonatal mortality. However, in many developing countries, these data are either lacking or of low quality. We assessed the completeness and accuracy of cause of death (COD) data for neonates in Ghana to assess their usability for monitoring the effectiveness of health system interventions aimed at improving neonatal survival.MethodsA lot quality assurance sampling survey was conducted in 20 hospitals in the public sector across four regions of Ghana. Institutional neonatal deaths (IND) occurring from 2014 through 2017 were divided into lots, defined as neonatal deaths occurring in a selected facility in a calendar year. A total of 52 eligible lots were selected: 10 from Ashanti region, and 14 each from Brong Ahafo, Eastern and Volta region. Nine lots were from 2014, 11 from 2015 and 16 each were from 2016 and 2017. The cause of death (COD) of 20 IND per lot were abstracted from admission and discharge (A&D) registers and validated against the COD recorded in death certificates, clinician's notes or neonatal death audit reports for consistency. With the error threshold set at 5%, ≥ 17 correctly matched diagnoses in a sample of 20 deaths would make the lot accurate for COD diagnosis. Completeness of COD data was measured by calculating the proportion of IND that had death certificates completed.ResultsNineteen out of 52 eligible (36.5%) lots had accurate COD diagnoses recorded in their A&D registers. The regional distribution of lots with accurate COD data is as follows: Ashanti (4, 21.2%), Brong Ahafo (7, 36.8%), Eastern (4, 21.1%) and Volta (4, 21.1%). Majority (9, 47.4%) of lots with accurate data were from 2016, followed by 2015 and 2017 with four (21.1%) lots. Two (10.5%) lots had accurate COD data in 2014. Only 22% (239/1040) of sampled IND had completed death certificates.ConclusionDeath certificates were not reliably completed for IND in a sample of health facilities in Ghana from 2014 through 2017. The accuracy of cause-specific mortality data recorded in A&D registers was also below the desired target. Thus, recorded IND data in public sector health facilities in Ghana are not valid enough for decision-making or planning. Periodic data quality assessments can determine the magnitude of the data quality concerns and guide site-specific improvements in mortality data management

Spatio-temporal distribution of under-five malaria morbidity and mortality hotspots in Ghana, 2012 – 2017: a case for evidence-based targeting of malaria interventions

Introduction: The spatiotemporal variation in malaria burden underpins the need for targeted malaria interventions. Despite the scale-up of malaria control interventions in Ghana, malaria remains the leading cause of hospital admissions and deaths among children below 5 years (U5). We described spatiotemporal distribution of U5 malaria morbidity and mortality from 2012 to 2017 to provide evidence for deployment of specific malaria interventions to regions of hotspots in Ghana. Methods: We conducted a retrospective review of district-level malaria surveillance data from 2012 to 2017. We obtained confirmed U5 malaria case and population data for all districts in Ghana, and computed yearly smoothed malaria incidence and mortality rates. Hotspot analysis was performed using GeoDa’s Global and Local Moran I tests of spatial autocorrelation. Results: Overall, 8,132,769 U5 malaria cases and 5,932 deaths were reported, with case fatality rate of 0.1%. Under-five malaria incidence increased from 16.4% in 2012 to 31.3% in 2017, and the mortality rate per 100,000 decreased from 30.2 in 2012 to 6.1 in 2017. We found variation in morbidity hotspots from 8 to 23 in the western, south-western and north-eastern areas of the country each year, and six persistent mortality hotspots in the north-eastern areas. Conclusion: Over the review period, U5 malaria morbidity increased while mortality decreased. Variability in morbidity hotspots occurred across the western and northern regions unlike persistence of mortality hotspots in the north-eastern region. We recommend that the National Malaria Control Program systematically deploys preventive and case management interventions to areas of hotspots and also conduct a further evaluation to identify the causes of high mortality in the northeastern areas

A retrospective analysis of malaria deaths in the pre- and intra- COVID 19 pandemic era, Ghana, 2016-2021.

BackgroundGlobal efforts over the years have resulted in a 27% reduction in malaria incidence and an estimated 51% reduction in malaria mortality since 2000. Meanwhile, COVID-19 pandemic disrupted provision and utilization of malaria services, leading to a surge in malaria incidence and mortality. Globally, 627000 malaria deaths were recorded in 2020, representing about 69000 more deaths compared to 2019. Also, 14 million more cases of malaria were recorded in 2020 compared to 2019. This study sought to determine whether excess malaria deaths were recorded in Ghana during the COVID-19 pandemic era.MethodsThis was a descriptive study on routine malaria mortality data in Ghana for the period 2016 to 2021. Data was retrieved from the District Health Information Management System using a data extraction guide. Excess mortality was defined as occurrence of malaria deaths more than expected value for the period 2020 and 2021. The expected number of mortalities for 2020 and 2021 were determined using 2016 to 2019 average. Excess mortality (P-score) was estimated using the formula: [(reported mortalities-expected mortalities)/expected mortalities X 100%]. Data were summarized and processed in Microsoft excel version 16.0. Malaria mortality in Ghana and its regions was described using tables and line graphs.ResultsAn average of 535 malaria deaths per year were recorded nationwide from 2016 to 2020. About 50% (1603/3207) of deaths occurred in children aged less than five years. The p-scores for the country were -53% and -58% for 2020 and 2021 respectively. No region recorded excess all-age malaria mortality in 2020, rather significant reduction. Stratified by age, Greater Accra region reported 90% higher than expected deaths among persons aged five years and above in 2020 (p-score = 90%, 95% CI: 21-159). All regions reported reduction in under-five mortality in 2020. No significant excess malaria mortalities were reported among the regions in 2021.ConclusionAlthough negative p-scores suggested a decline in malaria mortalities nationwide, some regions recorded excess deaths during the COVID-19 pandemic era. There is a need to integrate COVID-19 control activities with malaria control and prevention efforts to mitigate the impact of COVID-19 on malaria case management and mortality