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1.
PLOS Glob Public Health ; 3(6): e0001457, 2023.
Article in English | MEDLINE | ID: mdl-37289736

ABSTRACT

Although seroprevalence studies have demonstrated the wide circulation of SARS-COV-2 in African countries, the impact on population health in these settings is still poorly understood. Using representative samples of the general population, we evaluated retrospective mortality and seroprevalence of anti-SARS-CoV-2 antibodies in Lubumbashi and Abidjan. The studies included retrospective mortality surveys and nested anti-SARS-CoV-2 antibody prevalence surveys. In Lubumbashi the study took place during April-May 2021 and in Abidjan the survey was implemented in two phases: July-August 2021 and October-November 2021. Crude mortality rates were stratified between pre-pandemic and pandemic periods and further investigated by age group and COVID waves. Anti-SARS-CoV-2 seroprevalence was quantified by rapid diagnostic testing (RDT) and laboratory-based testing (ELISA in Lubumbashi and ECLIA in Abidjan). In Lubumbashi, the crude mortality rate (CMR) increased from 0.08 deaths per 10 000 persons per day (pre-pandemic) to 0.20 deaths per 10 000 persons per day (pandemic period). Increases were particularly pronounced among <5 years old. In Abidjan, no overall increase was observed during the pandemic period (pre-pandemic: 0.05 deaths per 10 000 persons per day; pandemic: 0.07 deaths per 10 000 persons per day). However, an increase was observed during the third wave (0.11 deaths per 10 000 persons per day). The estimated seroprevalence in Lubumbashi was 15.7% (RDT) and 43.2% (laboratory-based). In Abidjan, the estimated seroprevalence was 17.4% (RDT) and 72.9% (laboratory-based) during the first phase of the survey and 38.8% (RDT) and 82.2% (laboratory-based) during the second phase of the survey. Although circulation of SARS-CoV-2 seems to have been extensive in both settings, the public health impact varied. The increases, particularly among the youngest age group, suggest indirect impacts of COVID and the pandemic on population health. The seroprevalence results confirmed substantial underdetection of cases through the national surveillance systems.

2.
Public Health Nutr ; 26(5): 1074-1081, 2023 05.
Article in English | MEDLINE | ID: mdl-34620262

ABSTRACT

OBJECTIVE: The Three Delays Model is a conceptual model traditionally used to understand contributing factors of maternal mortality. It posits that most barriers to health services utilisation occur in relation to one of three delays: (1) Delay 1: delayed decision to seek care; (2) Delay 2: delayed arrival at health facility and (3) Delay 3: delayed provision of adequate care. We applied this model to understand why a community-based management of acute malnutrition (CMAM) services may have low coverage. DESIGN: We conducted a Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) over three phases using mixed methods to estimate programme coverage and barriers to care. In this manuscript, we present findings from fifty-one semi-structured interviews with caregivers and programme staff, as well as seventy-two structured interviews among caregivers only. Recurring themes were organised and interpreted using the Three Delays Model. SETTING: Madaoua, Niger. PARTICIPANTS: Totally, 123 caregivers and CMAM program staff. RESULTS: Overall, eleven barriers to CMAM services were identified in this setting. Five barriers contribute to Delay 1, including lack of knowledge around malnutrition and CMAM services, as well as limited family support, variable screening services and alternative treatment options. High travel costs, far distances, poor roads and competing demands were challenges associated with accessing care (Delay 2). Finally, upon arrival to health facilities, differential caregiver experiences around quality of care contributed to Delay 3. CONCLUSIONS: The Three Delays Model was a useful model to conceptualise the factors associated with CMAM uptake in this context, enabling implementing agencies to address specific barriers through targeted activities.


Subject(s)
Child Nutrition Disorders , Malnutrition , Child , Humans , Child Nutrition Disorders/therapy , Niger , Malnutrition/prevention & control , Patient Acceptance of Health Care , Nutritional Status , Health Services Accessibility
3.
BMC Nutr ; 7(1): 47, 2021 Aug 12.
Article in English | MEDLINE | ID: mdl-34380573

ABSTRACT

BACKGROUND: The World Health Organization recommends the use of a weight-for-height Z-score (WHZ) and/or mid-upper arm circumference (MUAC) as anthropometric criteria for the admission and discharge of young children for the community-based management of severe acute malnutrition. However, using MUAC as a single anthropometric criterion for admission and discharge in therapeutic nutritional programs may offer operational advantages to simplify admission processes at therapeutic nutritional centers and improve program coverage. METHODS: This pragmatic, non-randomized, intervention study compared a standard outpatient nutritional program (n = 824) for the treatment of uncomplicated severe acute malnutrition using WHZ < - 3 and/or MUAC< 115 mm and/or bipedal edema for admission and discharge to a program (n = 1019) using MUAC as the sole anthropometric criterion for admission (MUAC< 120 mm) and discharge (MUAC ≥125 mm at two consecutive visits) in the Tahoua Region of Niger. RESULTS: Compared to the standard program, the MUAC-only program discharged more children as recovered (70.1% vs. 51.6%; aOR 2.31, 95%CI 1.79-2.98) and fewer children as non-respondent or defaulters, based on respective program definitions. The risk of non-response was high in both programs. Three months post-discharge, children who were discharged after recovery in the MUAC-only program had lower WHZ and MUAC measures. Sixty-three children ineligible for the MUAC-only program but eligible for a standard program (MUAC ≥120 mm and WHZ < -3) were followed for twelve weeks and the anthropometric status of 69.8% of these children did not deteriorate (i.e. MUAC ≥120 mm) despite not immediately receiving treatment in the MUAC-only program. CONCLUSIONS: The results from this study share the first operational experience of using MUAC as sole anthropometric criterion for admission and discharge in Niger and overall support the consideration for MUAC-only programming: the MUAC-only model of care was associated with a higher recovery and a lower defaulter rate than the standard program with very few children found to be excluded from treatment with an admission criterion of MUAC < 120 mm. Further consideration of the appropriate MUAC-based discharge criterion as it relates to an increased risk of non-response and adverse post-discharge outcomes would be prudent.

4.
BMC Health Serv Res ; 19(1): 967, 2019 Dec 16.
Article in English | MEDLINE | ID: mdl-31842870

ABSTRACT

BACKGROUND: Coverage is an important indicator to assess both the performance and effectiveness of public health programs. Recommended methods for coverage estimation for the treatment of severe acute malnutrition (SAM) can involve active and adaptive case finding (AACF), an informant-driven sampling procedure, for the identification of cases. However, as this procedure can yield a non-representative sample, exhaustive or near exhaustive case identification is needed for valid coverage estimation with AACF. Important uncertainty remains as to whether an adequate level of exhaustivity for valid coverage estimation can be ensured by AACF. METHODS: We assessed the sensitivity of AACF and a census method using a capture-recapture design in northwestern Nigeria. Program coverage was estimated for each case finding procedure. RESULTS: The sensitivity of AACF was 69.5% (95% CI: 59.8, 79.2) and 91.9% (95% CI: 85.1, 98.8) with census case finding. Program coverage was estimated to be 40.3% (95% CI 28.6, 52.0) using AACF, compared to 34.9% (95% CI 24.7, 45.2) using the census. Depending on the distribution of coverage among missed cases, AACF sensitivity of at least ≥70% was generally required for coverage estimation to remain within ±10% of the census estimate. CONCLUSION: Given the impact incomplete case finding and low sensitivity can have on coverage estimation in potentially non-representative samples, adequate attention and resources should be committed to ensure exhaustive or near exhaustive case finding. TRIAL REGISTRATION: ClinicalTrials.gov ID NCT03140904. Registered on May 3, 2017.


Subject(s)
Delivery of Health Care/statistics & numerical data , Mass Screening , Severe Acute Malnutrition/diagnosis , Child, Preschool , Humans , Infant , Nigeria/epidemiology , Prevalence , Sampling Studies , Severe Acute Malnutrition/epidemiology , Severe Acute Malnutrition/therapy
5.
Emerg Infect Dis ; 22(10): 1827-9, 2016 10.
Article in English | MEDLINE | ID: mdl-27649257

ABSTRACT

We describe clinical symptoms, case-fatality rates, and prevalence of sequelae during an outbreak of Neisseria meningitidis serogroup C infection in a rural district of Niger. During home visits, we established that household contacts of reported case-patients were at higher risk for developing meningitis than the general population.


Subject(s)
Epidemics , Meningitis, Meningococcal/mortality , Neisseria meningitidis, Serogroup C , Adolescent , Adult , Child , Child, Preschool , Female , House Calls , Humans , Infant , Male , Meningitis, Meningococcal/microbiology , Meningitis, Meningococcal/physiopathology , Middle Aged , Niger/epidemiology , Young Adult
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