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Background Statistical modeling suggests that decreasing diarrhea-associated mortality rates in recent decades are largely attributed to improved case management, rotavirus vaccine, and economic development. Methods We examined data collected in 2 multisite population-based diarrhea case-control studies, both conducted in The Gambia, Kenya, and Mali: the Global Enteric Multicenter Study (GEMS; 2008–2011) and Vaccine Impact on Diarrhea in Africa (VIDA; 2015–2018). Population-level diarrhea mortality and risk factor prevalence, estimated using these study data, were used to calculate the attribution of risk factors and interventions for diarrhea mortality using a counterfactual framework. We performed a decomposition of the effects of the changes in exposure to each risk factor between GEMS and VIDA on diarrhea mortality for each site. Results Diarrhea mortality among children under 5 in our African sites decreased by 65.3% (95% confidence interval [CI]: –80.0%, −45.0%) from GEMS to VIDA. Kenya and Mali had large relative declines in diarrhea mortality between the 2 periods with 85.9% (95% CI: −95.1%, −71.5%) and 78.0% (95% CI: −96.0%, 36.3%) reductions, respectively. Among the risk factors considered, the largest declines in diarrhea mortality between the 2 study periods were attributed to reduction in childhood wasting (27.2%; 95% CI: −39.3%, −16.8%) and an increased rotavirus vaccine coverage (23.1%; 95% CI: −28.4%, −19.4%), zinc for diarrhea treatment (12.1%; 95% CI: −16.0%, −8.9%), and oral rehydration salts (ORS) for diarrhea treatment (10.2%). Conclusions The VIDA study sites demonstrated exceptional reduction in diarrhea mortality over the last decade. Site-specific differences highlight an opportunity for implementation science in collaboration with policymakers to improve the equitable coverage of these interventions globally.

Summary Background The Gambia introduced seven-valent pneumococcal conjugate vaccine (PCV7) in August 2009, followed by PCV13 in May, 2011, using a schedule of three primary doses without a booster dose or catch-up immunisation. We aimed to assess the long-term impact of PCV on disease incidence. Methods We did 10 years of population-based surveillance for invasive pneumococcal disease (IPD) and WHO defined radiological pneumonia with consolidation in rural Gambia. The surveillance population included all Basse Health and Demographic Surveillance System residents aged 2 months or older. Nurses screened all outpatients and inpatients at all health facilities using standardised criteria for referral. Clinicians then applied criteria for patient investigation. We defined IPD as a compatible illness with isolation of Streptococcus pneumoniae from a normally sterile site (cerebrospinal fluid, blood, or pleural fluid). We compared disease incidence between baseline (May 12, 2008–May 11, 2010) and post-vaccine years (2016–2017), in children aged 2 months to 14 years, adjusting for changes in case ascertainment over time. Findings We identified 22 728 patients for investigation and detected 342 cases of IPD and 2623 cases of radiological pneumonia. Among children aged 2–59 months, IPD incidence declined from 184 cases per 100 000 person-years to 38 cases per 100 000 person-years, an 80% reduction (95% CI 69–87). Non-pneumococcal bacteraemia incidence did not change significantly over time (incidence rate ratio 0·88; 95% CI, 0·64–1·21). We detected zero cases of vaccine-type IPD in the 2–11 month age group in 2016–17. Incidence of radiological pneumonia decreased by 33% (95% CI 24–40), from 10·5 to 7·0 per 1000 person-years in the 2–59 month age group, while pneumonia hospitalisations declined by 27% (95% CI 22–31). In the 5–14 year age group, IPD incidence declined by 69% (95% CI −28 to 91) and radiological pneumonia by 27% (95% CI −5 to 49). Interpretation Routine introduction of PCV13 substantially reduced the incidence of childhood IPD and pneumonia in rural Gambia, including elimination of vaccine-type IPD in infants. Other low-income countries can expect substantial impact from the introduction of PCV13 using a schedule of three primary doses. Funding Gavi, The Vaccine Alliance; Bill & Melinda Gates Foundation; UK Medical Research Council; Pfizer Ltd.

Health and Demographic Surveillance Systems (HDSS) have been developed in several low- and middle-income countries (LMICs) in Africa and Asia. This paper reviews their history, state of the art and future potential and highlights substantial areas of contribution by the late Professor Peter Byass.Historically, HDSS appeared in the second half of the twentieth century, responding to a dearth of accurate population data in poorly resourced settings to contextualise the study of interventions to improve health and well-being. The progress of the development of this network is described starting with Pholela, and progressing through Gwembe, Balabgarh, Niakhar, Matlab, Navrongo, Agincourt, Farafenni, and Butajira, and the emergence of the INDEPTH Network in the early 1990'sThe paper describes the HDSS methodology, data, strengths, and limitations. The strengths are particularly their temporal coverage, detail, dense linkage, and the fact that they exist in chronically under-documented populations in LMICs where HDSS sites operate. The main limitations are generalisability to a national population and a potential Hawthorne effect, whereby the project itself may have changed characteristics of the population.The future will include advances in HDSS data harmonisation, accessibility, and protection. Key applications of the data are to validate and assess bias in other datasets. A strong collaboration between a national HDSS network and the national statistics office is modelled in South Africa and Sierra Leone, and it is possible that other low- to middle-income countries will see the benefit and take this approach.

Children with acute infectious diseases may not present to health facilities, particularly in low-income countries. We investigated healthcare seeking using a cross-sectional community survey, health facility-based exit interviews, and interviews with customers of private pharmacies in 2014 in Upper River Region (URR) The Gambia, within the Basse Health & Demographic Surveillance System. We estimated access to care using surveillance data from 2008 to 2017 calculating disease incidence versus distance to the nearest health facility. In the facility-based survey, children and adult patients sought care initially at a pharmacy (27.9% and 16.7% respectively), from a relative (23.1% and 28.6%), at a local shop or market (13.5% and 16.7%), and on less than 5% of occasions with a community-based health worker, private clinic, or traditional healer. In the community survey, recent symptoms of pneumonia or sepsis (15% and 1.5%) or malaria (10% and 4.6%) were common in children and adults. Rates of reported healthcare-seeking were high with families of children favoring health facilities and adults favoring pharmacies. In the pharmacy survey, 47.2% of children and 30.4% of adults had sought care from health facilities before visiting the pharmacy. Incidence of childhood disease declined with increasing distance of the household from the nearest health facility with access to care ratios of 0.75 for outpatient pneumonia, 0.82 for hospitalized pneumonia, 0.87 for bacterial sepsis, and 0.92 for bacterial meningitis. In rural Gambia, patients frequently seek initial care at pharmacies and informal drug-sellers rather than community-based health workers. Surveillance underestimates disease incidence by 8–25%.

WHO's standard definitions of pregnancy-related and maternal deaths only include deaths that occur within 42 days of delivery, termination, or abortion, with major implications for post-partum care and maternal mortality surveillance. We therefore estimated post-partum survival from childbirth up to 1 year post partum to evaluate the empirical justification for the 42-day post-partum threshold.We used prospective, longitudinal Health and Demographic Surveillance System (HDSS) data from 30 sites across 12 sub-Saharan African countries to estimate women's risk of death from childbirth until 1 year post partum from all causes. Observations were included if the childbirth occurred from 1991 onwards in the HDSS site and maternal age was 10-54 years. We calculated person-years as the time between childbirth and next birth, outmigration, death, or the end of the first year post partum, whichever occurred first. For six post-partum risk intervals (0-1 days, 2-6 days, 7-13 days, 14-41 days, 42-122 days, and 4-11 months), we calculated the adjusted rate ratios of death relative to a baseline risk of 12-17 months post partum.Between Jan 1, 1991, and Feb 24, 2020, 647 104 births occurred in the HDSS sites, contributing to 602 170 person-years of exposure time and 1967 deaths within 1 year of delivery. After adjustment for confounding, mortality was 38·82 (95% CI 33·21-45·29) times higher than baseline on days 0-1 after childbirth, 4·97 (3·94-6·21) times higher for days 2-6, 3·35 (2·64-4·20) times higher for days 7-13, and 2·06 (1·74-2·44) times higher for days 14-41. From 42 days to 4 months post partum, mortality was still 1·20 (1·03-1·39) times higher (ie, a 20% higher risk), but deaths in this interval would be excluded from measurement of pregnancy-related mortality. Extending the WHO 42-day post-partum threshold up to 4 months would increase the post-partum pregnancy-related mortality ratio by 40%.This multicountry study has implications for measurement and clinical practice. It makes the case for WHO to extend the 42-day post-partum threshold to capture the full duration of risk of pregnancy-related deaths. There is a need for a new indicator to track late pregnancy-related deaths that occur beyond 42 days, which are otherwise excluded from global maternal health surveillance efforts. Our results also emphasise the need for international agencies to disaggregate estimates by antepartum, intrapartum, postpartum, and extended post-partum periods. Additionally, the schedule and content of postnatal care packages should reflect the extended duration of post-partum risk.The UK Economic and Social Research Council.

Estimates for coronavirus disease 2019 (COVID-19) related excess mortality for African populations using local data are needed to design and implement effective control policies.We applied time-series analysis using data from three Health and Demographic Surveillance Systems (HDSSs) in The Gambia (Basse, Farafenni and Keneba) to examine pandemic-related excess mortality during 2020, when the first SARS-CoV-2 wave was observed, compared to pre-pandemic period (2016-2019).Across the three sites, average mortality during the pre-pandemic period and the total deaths during 2020 were 1512 and 1634, respectively (Basse: 1099 vs 1179, Farafenni: 316 vs 351, Keneba: 98 vs 104). The overall crude mortality rates per 100,000(95%CI) were 589(559, 619) and 599(571, 629) for the pre-pandemic and 2020 periods, respectively. The adjusted excess mortality rate was 8.8(-34.3, 67.6) per 100,000 person-months with the adjusted rate ratio (aRR)=1.01(0.94,1.11). The age stratified analysis showed excess mortality in Basse for infants [aRR=1.22(1.04, 1.46)] and in Farafenni for the 65+ years age group [aRR=1.19(1, 1.44)].We did not find significant excess overall mortality in 2020 in The Gambia. However, some age groups may have been at risk of excess death. Public health response in countries with weak health systems needs to consider vulnerable age groups and the potential for collateral damage.

Staphylococcus aureus bacteremia is a substantial cause of childhood disease and death, but few studies have described its epidemiology in developing countries. Using a population-based surveillance system for pneumonia, sepsis, and meningitis, we estimated S. aureus bacteremia incidence and the case-fatality ratio in children

Public Health Emergencies (PHEs) provide a complex and challenging environment for vaccine evaluation. Under the R&D Blueprint Plan of Action, the World Health Organization (WHO) has convened a group of experts to agree on standard procedures to rapidly evaluate experimental vaccines during PHEs while maintaining the highest scientific and ethical standards. The Blueprint priority diseases, selected for their likelihood to cause PHEs and the lack of adequate medical countermeasures,were used to frame our methodological discussions. Here, we outline major vaccine study designs to be used in PHEs and summarize high-level recommendations for their use in this setting. We recognize that the epidemiology and transmission dynamics of the Blueprint priority diseasesmay be highly uncertain and that the unique characteristics of the vaccines and outbreak settings may affect our study design. To address these challenges, our group underscores the need for novel, flexible,and responsive trial designs. We conclude that assignment to study groups using randomization is a key principle underlying rigorous study design and should be utilized except in exceptional circumstances. Advance planning for vaccine trial designs is critical for rapid and effective response to a PHE and to advance knowledge to address and mitigate future PHEs.

BackgroundIn The Gambia, national estimates of under-five mortality (U5M) were from censuses and multiple indicator cluster surveys (MICS). The country's first demographic and health survey (DHS) conducted in 2013 provided empirical disaggregated national estimates of neonatal, post-neonatal and child mortality trends.ObjectiveTo assess the consistency and accuracy of the estimates of U5M from the existing data sources and its age-specific components in rural Gambia and produce reliable up-to-date estimates.MethodsAvailable national data on under-five mortality from 2000 onwards were extracted. Additionally, data from two DHS regions were compared to those from two health and demographic surveillance systems (HDSS) located within them. Indirect and direct estimates from the data were compared and flexible parametric survival methods used to predict mortality rates for all empirical data points up to 2015.FindingsInternal consistency checks on data quality for indirect estimation of U5M suggest that the data were plausible at national level once information from women aged 15-19 years was excluded. The DHS and HDSS data used to make direct U5M estimates were plausible, however HDSS data were of better quality. For 2009-2013, the DHS estimates agreed well with the 2013 census and 2010 MICS reports of U5M but was less accurate about the early births of older women. The most recent estimates from the 2013 DHS, which refer to 2011-12, are an U5M rate of 54/1000 livebirths (95% CI: 43-64) and a neonatal mortality rate of 21/1000 livebirths (95% CI: 15-27), contributing almost 40% of U5M in The Gambia. The DHS showed that for the decade prior to the survey, child mortality dropped by 55% and neonatal mortality by 31%. This indicates the importance of neonatal mortality in The Gambia, and the need to focus on neonatal survival, while maintaining currently successful strategies to further reduce U5M.

Summary Background Little information is available about the effect of pneumococcal conjugate vaccines (PCVs) in low-income countries. We measured the effect of these vaccines on invasive pneumococcal disease in The Gambia where the 7-valent vaccine (PCV7) was introduced in August, 2009, followed by the 13-valent vaccine (PCV13) in May, 2011. Methods We conducted population-based surveillance for invasive pneumococcal disease in individuals aged 2 months and older who were residents of the Basse Health and Demographic Surveillance System (BHDSS) in the Upper River Region, The Gambia, using standardised criteria to identify and investigate patients. Surveillance was done between May, 2008, and December, 2014. We compared the incidence of invasive pneumococcal disease between baseline (May 12, 2008–May 11, 2010) and after the introduction of PCV13 (Jan 1, 2013–Dec 31, 2014), adjusting for changes in case ascertainment over time. Findings We investigated 14 650 patients, in whom we identified 320 cases of invasive pneumococcal disease. Compared with baseline, after the introduction of the PCV programme, the incidence of invasive pneumococcal disease decreased by 55% (95% CI 30–71) in the 2–23 months age group, from 253 to 113 per 100 000 population. This decrease was due to an 82% (95% CI 64–91) reduction in serotypes covered by the PCV13 vaccine. In the 2–4 years age group, the incidence of invasive pneumococcal disease decreased by 56% (95% CI 25–75), from 113 to 49 cases per 100 000, with a 68% (95% CI 39–83) reduction in PCV13 serotypes. The incidence of non-PCV13 serotypes in children aged 2–59 months increased by 47% (−21 to 275) from 28 to 41 per 100 000, with a broad range of serotypes. The incidence of non-pneumococcal bacteraemia varied little over time. Interpretation The Gambian PCV programme reduced the incidence of invasive pneumococcal disease in children aged 2–59 months by around 55%. Further surveillance is needed to ascertain the maximum effect of the vaccine in the 2–4 years and older age groups, and to monitor serotype replacement. Low-income and middle-income countries that introduce PCV13 can expect substantial reductions in invasive pneumococcal disease. Funding GAVI's Pneumococcal vaccines Accelerated Development and Introduction Plan (PneumoADIP), Bill & Melinda Gates Foundation, and the UK Medical Research Council.

A better understanding of women’s perception of levonorgestrel implants has the potential to help women and their partners freely choose the number and spacing of their children and thus, increase contraceptive prevalence. The contraceptive prevalence rate is very low in the Gambia; only 8 per cent of the women of reproductive age use modern methods of family planning and 1 per cent using traditional methods and an implant utilization rate of 3.9%. Therefore, the purpose of the study is centered on exploring the perceptions and acceptance level of Levonorgestrel Implants among family planning (FP) clients in Western Health Region One (WHR, 1). The perception and acceptance of implants among users is not well documented in the Gambia despite established knowledge of availability at little or no cost in most health facilities. A phenomenological qualitative study design was employed and twelve women were purposively selected from two hospitals to serve as participants. Focus group discussions were used as data collection method among six women per discussion. Qualitative data analysis method used for the study was the Editing Analysis Style where, the data were interpreted in search of meaningful segments and units. The data were analyzed using themes and categorizing the responses of the participants under each theme with verbatim quotes used wherever necessary. Sociodemographic findings revealed that majority of the women were between the ages of 30-39 (SD± 5.35) ranging from 25 to 45 years with a mean age of 32.75 years. More than half of the study participants had between 1-4 children (n = 7, 58.33), with a mean parity of 3.75 (SD±2.48). Almost all of them were Muslims (n =11, 91.66 %). All of them received some form of education with the highest level being secondary (Conventional) (n = 6, 50%). Majority were housewives (n= 6, 50%), married (n = 11, 91.66%). The findings showed that six themes emerged from both Focus Group Discussions where the majority of the respondents gave similar answers. The themes that were reported on were; efficacy, service provider’s attitude, husband/spousal approval, undesired effects, myths and misconceptions, and satisfaction. In conclusion, the use of Implants for family planning depends on clients’ perceptions. Therefore, understanding client’s perceptions on implants would help to improve prevalence, thus reducing unintended pregnancies, induced abortions, short birth intervals, fertility rates and maternal mortality and morbidity in the country.

Public Health Emergencies (PHEs) provide a complex and challenging environment for vaccine evaluation. Under the R&D Blueprint Plan of Action, the World Health Organization (WHO) has convened a group of experts to agree on standard procedures to rapidly evaluate experimental vaccines during PHEs while maintaining the highest scientific and ethical standards. The Blueprint priority diseases, selected for their likelihood to cause PHEs and the lack of adequate medical countermeasures, were used to frame our methodological discussions. Here, we outline major vaccine study designs to be used in PHEs and summarize high-level recommendations for their use in this setting. We recognize that the epidemiology and transmission dynamics of the Blueprint priority diseases may be highly uncertain and that the unique characteristics of the vaccines and outbreak settings may affect our study design. To address these challenges, our group underscores the need for novel, flexible, and responsive trial designs. We conclude that assignment to study groups using randomization is a key principle underlying rigorous study design and should be utilized except in exceptional circumstances. Advance planning for vaccine trial designs is critical for rapid and effective response to a PHE and to advance knowledge to address and mitigate future PHEs.One Sentence SummaryAs part of the WHO research and development Blueprint for action to prevent epidemics, we describe key considerations for the design and analysis of trials and studies to evaluate experimental vaccines during public health emergencies.

Recently, increasing attention has been given to behavioural and relational aspects of the people who both define and shape health systems, placing them at the core. A growing refrain includes the assertion that important decisions determining health system performance, including agenda setting, policy formulation and policy implementation, are made by people. Within this actor-oriented approach, good leadership has been identified as a key contributing factor in health systems strengthening. However, leadership remains ill-defined and under-researched, especially in resource-limited settings, and understanding the links between leadership and health outcomes remains a challenge. We explore the concept and practice of healthcare leadership at sub-national level in a low-income country setting, using a people-centric research methodology. In June and July 2013, 15 in-depth interviews were conducted with key informants in formal healthcare leadership roles across urban, peri-urban and rural settings of The Gambia, West Africa. Participants included the entire spectrum of Regional Health Team (RHT) Directors and Chief Executive Officers of all government hospitals, as well as one clinical officer-in-charge in a secondary-level major health centre. We found reference to several important aspects of, and approaches to, leadership, including (i) setting a clear vision; (ii) engendering shared leadership; and (iii) paying attention to human relations in management. Participants described attending to constituencies in government, international development agencies and civil society, as well as to the populations they serve. By illuminating the multi-polar networks within which these leaders are embedded, and through which they operate, we provide insight into the complex ‘organizational ecology’ of the Gambian health system. There is a need to further research and develop healthcare leadership across all levels, within various political, socio-economic and cultural contexts, in order to better work with a range of health actors and to engage them in identifying and acting upon opportunities for health systems strengthening.

The Farafenni Health and Demographic Surveillance System (Farafenni HDSS) is located 170 km from the coast in a rural area of The Gambia north of the River Gambia. It was set up in 1981 by the UK Medical Research Council Laboratories to generate demographic and health information required for the evaluation of a village-based primary health care programme in 40 villages. Regular updates of demographic events and residency status have subsequently been conducted every 4 months. The surveillance area was extended in 2002 to include Farafenni Town and surrounding villages to support randomized controlled trials. With over three decades of prospective surveillance and through specific scientific investigations the platform (population approximately 50000) has generated data on: morbidity and mortality due to malaria in children and during pregnancy; non-communicable disease among adults; reproductive health; and levels and trends in childhood and maternal mortality. Other information routinely collected includes causes of death through verbal autopsy and household socioeconomic indicators. The current portfolio of the platform includes tracking Millennium Development Goal 4 (MDG4) attainments in rural Gambia and cause-of-death determination. (c) The Author 2015; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

Objectives To describe the spatial pattern in under-5 mortality rates in the Basse Health and Demographic Surveillance System (BHDSS) and to test for associations between under-5 deaths and biodemographic and socio-economic risk factors. Methods Using data on child survival from 2007 to 2011 in the BHDSS, we mapped under-5 mortality by km2. We tested for spatial clustering of high or low death rates using Kulldorff's spatial scan statistic. Associations between child death and a variety of biodemographic and socio-economic factors were assessed with Cox proportional hazards models, and deviance residuals from the best-fitting model were tested for spatial clustering. Results The overall death rate among children under 5 was 0.0195 deaths per child-year. We found two spatial clusters of high death rates and one spatial cluster of low death rates; children in the two high clusters died at a rate of 0.0264 and 0.0292 deaths per child-year, while in the low cluster, the rate was 0.0144 deaths per child-year. We also found that children born to Fula mothers experienced, on average, a higher hazard of death, whereas children born in the households in the upper two quintiles of asset ownership experienced, on average, a lower hazard of death. After accounting for the spatial distribution of biodemographic and socio-economic characteristics, we found no residual spatial pattern in child mortality risk. Conclusion This study demonstrates that significant inequality in under-5 death rates can occur within a relatively small area (1100 km2). Risks of under-5 mortality were associated with mother's ethnicity and household wealth. If high mortality clusters persist, then equity concerns may require additional public health efforts in those areas. Objectifs Decrire le profil spatial des taux de mortalite chez les moins de 5 ans dans le systeme Basse de surveillance demographique et de sante (BHDSS) et investiguer les associations entre les deces des moins de 5 ans et les facteurs de risque biodemographiques et socioeconomiques. Methodes En utilisant les donnees de survie de l'enfant du BHDSS pour la periode 2007-2011, nous avons cartographie la mortalite des moins de 5 ans par km2. Nous avons analyse le regroupement spatial des taux eleves ou faibles de mortalite en utilisant l'analyse spatiale statistique de Kulldorff. Les associations entre la mortalite infantile et une variete de facteurs biodemographiques et socioeconomiques ont ete evaluees avec les modeles a risques proportionnels de Cox et les residus de deviance du meilleur modele ont ete analyses pour le regroupement spatial. Resultats Le taux global de mortalite chez les enfants de moins de 5 ans etait de 0,0195 deces par enfant-annee. Nous avons trouve deux regroupements spatiaux de taux eleve de mortalite et un regroupement spatial de faible taux de mortalite; les enfants dans les deux groupes a mortalite elevee sont morts a un taux de 0,0264 et 0,0292 deces par enfant-annee, tandis que dans le groupe a faible mortalite, le taux etait de 0,0144 deces par enfant-annee. Nous avons egalement constate que les enfants nes de meres peuls avaient en moyenne un risque plus eleve de deces, alors que ceux nes dans les menages appartenant aux deux quintiles de richesse superieurs avaient en moyenne un risque de deces plus faible. Apres la prise en compte de la repartition spatiale des caracteristiques biodemographiques et socioeconomiques, nous n'avons trouve aucun profil spatial residuel du risque de mortalite de l'enfant. Conclusion Cette etude demontre qu'une inegalite significative dans le taux de mortalite des moins de 5 ans peut apparaitre dans une zone relativement petite (1100 km2). Les risques encourus par les moins de 5 ans ont ete associes a l'origine ethnique de la mere et a la richesse des menages. Si les regroupements a mortalite elevee persistent, alors les soucis d’equite pourraient exiger des efforts supplementaires de sante publique dans ces regions. Objetivos Describir el patron espacial en las tasas de mortalidad de menores de 5 anos dentro del Sistema de Vigilancia Demografica y Sanitaria de Basse (SVDSB) y evaluar las asociaciones entre las muertes de menores de 5 anos y los factores de riesgo biodemograficos y socioeconomicos. Metodos Utilizando datos de supervivencia infantil entre 2007-2011 en el SVDSB, mapeamos la mortalidad en menores de 5 anos por km2. Utilizando la estadistica de escaneo espacial de Kulldorff, hemos evaluado si existen conglomerados espaciales para tasas de mortalidad altas y bajas. Las asociaciones entre la muerte infantil y una variedad de factores biodemograficos y socioeconomicos se estudiaron con modelos de riesgos proporcionales de Cox, y las desviaciones residuales del modelo con mejor ajuste se evaluaron en busca de conglomerados espaciales. Resultados La tasa de mortalidad total entre ninos menores de 5 anos era de 0.0195 muertes por nino-ano. Encontramos dos conglomerados espaciales con altas tasas de mortalidad y un conglomerado espacial con una baja tasa de mortalidad; los ninos en los dos conglomerados con una alta mortalidad morian con una tasa de 0.0264 y 0.0292 muertes por nino-ano, mientras que en el conglomerado bajo la tasa era de 0.0144 muertes por nino-ano. Tambien encontramos que los ninos nacidos de madres Fula experimentaban, en promedio, una mayor probabilidad de muerte, mientras que los ninos nacidos en hogares pertenecientes a los dos quintiles superiores en tenencia de experimentaban, en promedio, una menor probabilidad de muerte. Despues de tener en cuenta la distribucion espacial de las caracteristicas biodemograficas y socioeconomicas, no encontramos ningun patron espacial residual en el riesgo de mortalidad infantil. Conclusion Este estudio demuestra que puede haber una inequidad significativa en las tasas de mortalidad en menores de 5 anos dentro un area relativamente pequena (1,100 km2). Los riesgos de mortalidad entre menores de 5 anos se encuentran asociados a la etnia de la madre y a la riqueza del hogar. Si los conglomerados con alta mortalidad persisten, entonces las medidas para abordar los problemas de equidad podian requerir de esfuerzos de sanidad publica adicionales en estas areas.

Rotavirus is the leading cause of diarrhea in children5 years of age. In light of the implementation of rotavirus vaccines of limited valency, it is important to characterize the genotypic diversity of circulating rotavirus in sub-Saharan Africa.We collected stool samples from children 0-59 months of age who presented at the health centres as cases with moderate-to-severe diarrhea in the Upper River Region of The Gambia. Stool samples were also collected from age, sex and area-matched healthy controls. All stool samples were assayed for rotavirus antigens by enzyme-linked immunosorbent assay and genotyping was done using reverse transcriptase polymerase chain reaction.We enrolled 1029 cases and 1569 controls during the 3-year study period (2008-2010). The detection rate of rotavirus among the cases was 20% (204/1029) and 3% (42/1569) among controls. At least 18 genotypes were found and the predominant genotypes were G2P[6] (28%), G1P[8] (26%) and G1P[10] (10%). The rare identified genotypes (1%) were G2P[14], G8P[6], G9P[6] and G4P[10]. There was also a strong positive association between rotavirus infection and the dry season (odds ratio: 9.83, 95% confidence interval: 6.18-15.63, P0.001). A significant increase in the odds of rotavirus and G1P[8] detection with the use of untreated water and the presence of cats, rodents and cows in the child's residence was also found.This study provides important baseline data for the genotypes circulating before vaccine implementation. The wide diversity of genotypes circulating in The Gambia implies the need for vigilant effectiveness surveillance following the implementation of RotaTeq in August 2013.

Background Cryptosporidium is a major pathogen associated with diarrheal disease in young children. We studied Cryptosporidium diarrhea in children enrolled in the Global Enteric Multicenter Study (GEMS) in rural Gambia. Methods We recruited children, Author summary Cryptosporidium, a protozoan parasite, is one of the most common diarrheal pathogens in young children living in developing countries. We describe the prevalence and risk factors for Cryptosporidium diarrhea in under-five children in The Gambia using data from the Global Enteric Study (GEMS), conducted in seven developing countries in Asia and Africa (2008–2012). We enrolled 1938 diarrhea cases and 2969 matched controls. We found that 12.0% of diarrhea cases and 4.8% controls were positive for Cryptosporidium. Most (85.7%) Cryptosporidium diarrhea cases were aged 6–23 months, and most (81.4%) occurred during the rainy season. Cryptosporidium hominis was the predominant species (82.6%). We found that consumption of stored drinking water and animals (cow, cat, rodents) living in the compound are potential risk factors for Cryptosporidium diarrhea. Improved drinking water storage may reduce the burden of Cryptosporidium diarrhea in a resource poor hygienic and sanitation setting.

In 2012, an outbreak of Neisseria meningitidis serogroup W135 occurred in The Gambia. The attack rate was highest among young children. The associated risk factors were male sex, contact with meningitis patients, and difficult breathing. Enhanced surveillance facilitates early epidemic detection, and multiserogroup conjugate vaccine could reduce meningococcal epidemics in The Gambia.

International audience; Objective: Although vaccine coverage in infants in sub-Saharan Africa is high, this is estimated at the age of 6-12 months. There is little information on the timely administration of birth dose vaccines. The objective of this study was to assess the timing of birth dose vaccines (hepatitis B, BCG and oral polio) and reasons for delayed administration in The Gambia.Methods: We used vaccination data from the Farafenni Health and Demographic Surveillance System (FHDSS) between 2004 and 2014. Coverage was calculated at birth (0-1 day), day 7, day 28, 6 months and 1 year of age. Logistic regression models were used to identify demographic and socio-economic variables associated with vaccination by day 7 in children born between 2011 and 2014.Results: Most of the 10,851 children had received the first dose of hepatitis B virus (HBV) vaccine by the age of 6 months (93.1%). Nevertheless, only 1.1% of them were vaccinated at birth, 5.4% by day 7, and 58.4% by day 28. Vaccination by day 7 was associated with living in urban areas (West rural: adjusted OR (AOR)=6.13, 95%CI: 3.20-11.75, east rural: AOR=6.72, 95%CI: 3.66-12.33) and maternal education (senior-educations: AOR=2.43, 95%CI: 1.17-5.06); and inversely associated with distance to vaccination delivery points (≧2km: AOR=0.41, 95%CI: 0.24-0.70), and Fula ethnicity (AOR=0.60, 95%CI: 0.40-0.91).Conclusion: Vaccine coverage in The Gambia is high but infants are usually vaccinated after the neonatal period. Interventions to ensure the implementation of national vaccination policies are urgently needed.

Background: A high twinning rate and an increased risk of mortality among twins contribute to the high burden of infant mortality in Africa. This study examined the contribution of twins to neonatal and post-neonatal mortality in The Gambia, and evaluated factors that contribute to the excess mortality among twins. Methods: We analysed data from the Basse Health and Demographic Surveillance System (BHDSS) collected from January 2009 to December 2013. Demographic and epidemiological variables were assessed for their association with mortality in different age groups. Results: We included 32,436 singletons and 1083 twins in the analysis (twining rate 16.7/1000 deliveries). Twins represented 11.8 % of all neonatal deaths and 7.8 % of post-neonatal deaths. Mortality among twins was higher than in singletons [adjusted odds ratio (AOR) 4.33 (95 % CI: 3.09, 6.06) in the neonatal period and 2.61 (95 % CI: 1.85, 3.68) in the post-neonatal period]. Post-neonatal mortality among twins increased in girls (P for interaction = 0.064), being born during the dry season (P for interaction = 0.030) and lacking access to clean water (P for interaction = 0.042). Conclusion: Mortality among twins makes a significant contribution to the high burden of neonatal and post-neonatal mortality in The Gambia and preventive interventions targeting twins should be prioritized., BMC Pediatrics, 16, 39; 2016

To describe how through a DSS in a rural area of The Gambia it has been possible to measure substantial reductions in child mortality rates and how we investigated whether the decline paralleled the registered fall in malaria incidence in the country. METHODS: Demographic surveillance data spanning 19.5 years (1 April 1989-30 September 2008) from 42 villages around the town of Farafenni The Gambia were used to estimate childhood mortality rates for neonatal infant child (1-4 years) and under-5 age groups. Data were presented in five a priori defined time periods and annual rates per 1000 live births were derived from Kaplan-Meier survival probabilities. RESULTS: From 1989-1992 to 2004-2008 under-5 mortality declined by 56% (95% CI: 48-63%) from 165 (95% CI: 151-181) per 1000 live births to 74 (95% CI: 65-84) per 1000 live births. In 1- to 4-year-olds mortality during the period 2004-2008 was 69% (95% CI: 60-76%) less than in 1989-1992. The corresponding mortality decline in infants was 39% (95% CI: 23-52%); in neonates it was 38% (95% CI: 13-66%). The derived annual under-5 mortality rates declined from 159 per 1000 live births in 1990 to 45 per 1000 live births in 2008 thus implying an attainment of MDG4 seven years in advance of the target year of 2015. CONCLUSION: Achieving MDG4 is possible in poor rural areas of Africa through widespread deployment of relatively simple measures that improve child survival such as immunisation and effective malaria control. (c) 2011 Blackwell Publishing Ltd.

OBJECTIVE: To measure mortality and its risk factors among children discharged from a health centre in rural Gambia. METHODS: We conducted a cohort study between 12 May 2008 and 11 May 2012. Children aged 2-59 months, admitted with suspected pneumonia, sepsis, or meningitis after presenting to primary and secondary care facilities, were followed for 180 days after discharge. We developed models associating post-discharge mortality with clinical syndrome on admission and clinical risk factors. FINDINGS: One hundred and five of 3755 (2.8%) children died, 80% within 3 months of discharge. Among children aged 2-11 and 12-59 months, there were 30 and 29 deaths per 1000 children per 180 days respectively, compared to 11 and 5 respectively in the resident population. Children with suspected pneumonia unaccompanied by clinically severe malnutrition (CSM) had the lowest risk of post-discharge mortality. Mortality increased in children with suspected meningitis or septicaemia without CSM (hazard ratio [HR] 2.6 and 2.2 respectively). The risk of mortality greatly increased with CSM on admission: CSM with suspected pneumonia (HR 8.1; 95% confidence interval (CI) 4.4 to 15), suspected sepsis (HR 18.4; 95% CI 11.3 to 30), or suspected meningitis (HR 13.7; 95% CI 4.2 to 45). Independent associations with mortality were: mid-upper arm circumference (MUAC) of 11.5-13.0 cm compared to >13.0 cm (HR 7.2; 95% CI 3.0 to 17.0), MUAC 10.5-11.4 cm (HR 24; 95% CI 9.4 to 62), and MUAC