Search

Despite efforts to increase childhood vaccination coverage in the Democratic Republic of the Congo (DRC), approximately 20% of infants have not started their routine immunization schedule (zero-dose). The present study aims to evaluate the relative influence of geospatial access to health facilities and caregiver perceptions of vaccines on the vaccination status of children in rural DRC. Pooled data from two consecutive nationwide immunization surveys conducted in 2022 and 2023 were used. Geographic accessibility was assessed based on travel time from households to their nearest health facility using the AccessMod 5 model. Caregiver attitudes to vaccination were assessed using the survey question How good do you think vaccines are for your child? We used logistic regression to assess the relationship between geographic accessibility, caregiver attitudes toward vaccination, and their childs vaccination status. Geographic accessibility to health facilities was high in rural DRC, with 88% of the population living within an hours walk to a health facility. Responding that vaccines are Bad, Very Bad, or Dont Know relative to Very Good for children was associated with a many-fold increased odds of a zero-dose status (ORs 69.3 [95%CI: 63.4-75.8]) compared to the odds for those living 60+ min from a health facility, relative to

In 2020, an estimated 287 000 women died due to complications of pregnancy and childbirth, while 1.9 million stillbirths occurred in 2021. As many as half of maternal deaths and [...]

Background: Between 2020 and 2022, countries used a range of different public health and social measures (PHSMs) to reduce the transmission of SARS‐CoV‐2. The impact of these PHSMs varied as the pandemic progressed, variants of concern (VOCs) emerged, vaccines rolled out and acceptance/uptake rates evolved. In this study, we assessed the impact of PHSMs in the World Health Organization (WHO) European Region during VOC phases. Methods: We relied on time series data on genome sequencing, PHSMs, health outcomes and physical contacts. Panel regression models were used to assess the association between PHSMs and SARS‐CoV‐2 transmission (approximated using time‐varying reproduction numbers). The interpretation of these regression models was assisted by hierarchical clustering, which was used to detect the temporal co‐occurrence of PHSMs. Generalised linear models were used to check if PHSMs are associated with physical contacts. Results: We identified four phases based on the dominating VOC in the WHO European Region: wild type (before early 2021), Alpha (early to mid‐2021), Delta (mid‐to‐late 2021) and Omicron (after late 2021). 'School closure', 'stay‐at‐home requirement' and 'testing policy' were consistently associated with lower transmission across VOC phases. The impact of most PHSMs varied by VOC phases without clear increasing or decreasing trends as the pandemic progressed. Several PHSMs associated with lower transmission were not associated with fewer physical contacts. Conclusions: The impact of PHSMs evolved as the pandemic progressed—although without clear trends. The specific mechanisms by which some PHSMs reduce SARS‐CoV‐2 transmission require further research. [ABSTRACT FROM AUTHOR]

Introduction: Health insurance is a key instrument for a health system on its path to achieving universal health coverage (UHC) and protects individuals from catastrophic health expenditures, especially in health emergencies. However, there are other dimensions to care access beyond financial accessibility. In this study, we assess the geographical accessibility of comprehensive emergency obstetric care (CEmOC) within the Lagos State Health Insurance Scheme. Methods: We geocoded functional public and private CEmOC facilities, established facilities registered on the insurance panel as of December 2022, and assembled population distribution for women of childbearing age. We used Google Maps Platform’s internal directions application programming interface to obtain driving times to facilities. State-and local government area (LGA)-level median travel time (MTT) and a number of CEmOC facilities reachable within 30 min were obtained for peak travel hours. Results: Across Lagos State, MTT to the nearest public CEmOC was 25 min, reduced to 17 min with private facilities added to the insurance panel. MTT to the nearest public facility in LGAs ranged from 9 min (Lagos Island) to 51 min (Ojo) (median = 25 min). With private facilities added, MTT ranged from 5 min (Agege and Ajeromi-Ifelodun) to 36 min (Ibeju-Lekki) (median = 13 min). On average, no public CEmOC facility was reachable within 30 min of driving for women living in 6 of 20 LGAs. With private facilities included in the scheme, reachable facilities within 30 min remained zero in one LGA (Ibeju-Lekki). Conclusions: Our innovative approach offers policy-relevant evidence to optimise insurance coverage, support efforts in advancing UHC, ensure coverage for CEmOC, and improve health system performance. [ABSTRACT FROM AUTHOR]

Author(s): Amy Gimma 1,*, James D. Munday 1, Kerry L. M. Wong 1, Pietro Coletti 2, Kevin van Zandvoort 1, Kiesha Prem 1, CMMID COVID-19 working group, Petra Klepac 1, [...], Background During the Coronavirus Disease 2019 (COVID-19) pandemic, the United Kingdom government imposed public health policies in England to reduce social contacts in hopes of curbing virus transmission. We conducted a repeated cross-sectional study to measure contact patterns weekly from March 2020 to March 2021 to estimate the impact of these policies, covering 3 national lockdowns interspersed by periods of less restrictive policies. Methods and findings The repeated cross-sectional survey data were collected using online surveys of representative samples of the UK population by age and gender. Survey participants were recruited by the online market research company Ipsos MORI through internet-based banner and social media ads and email campaigns. The participant data used for this analysis are restricted to those who reported living in England. We calculated the mean daily contacts reported using a (clustered) bootstrap and fitted a censored negative binomial model to estimate age-stratified contact matrices and estimate proportional changes to the basic reproduction number under controlled conditions using the change in contacts as a scaling factor. To put the findings in perspective, we discuss contact rates recorded throughout the year in terms of previously recorded rates from the POLYMOD study social contact study. The survey recorded 101,350 observations from 19,914 participants who reported 466,710 contacts over 53 weeks. We observed changes in social contact patterns in England over time and by participants' age, personal risk factors, and perception of risk. The mean reported contacts for adults 18 to 59 years old ranged between 2.39 (95% confidence interval [CI] 2.20 to 2.60) contacts and 4.93 (95% CI 4.65 to 5.19) contacts during the study period. The mean contacts for school-age children (5 to 17 years old) ranged from 3.07 (95% CI 2.89 to 3.27) to 15.11 (95% CI 13.87 to 16.41). This demonstrates a sustained decrease in social contacts compared to a mean of 11.08 (95% CI 10.54 to 11.57) contacts per participant in all age groups combined as measured by the POLYMOD social contact study in 2005 to 2006. Contacts measured during periods of lockdowns were lower than in periods of eased social restrictions. The use of face coverings outside the home has remained high since the government mandated use in some settings in July 2020. The main limitations of this analysis are the potential for selection bias, as participants are recruited through internet-based campaigns, and recall bias, in which participants may under- or overreport the number of contacts they have made. Conclusions In this study, we observed that recorded contacts reduced dramatically compared to prepandemic levels (as measured in the POLYMOD study), with changes in reported contacts correlated with government interventions throughout the pandemic. Despite easing of restrictions in the summer of 2020, the mean number of reported contacts only returned to about half of that observed prepandemic at its highest recorded level. The CoMix survey provides a unique repeated cross-sectional data set for a full year in England, from the first day of the first lockdown, for use in statistical analyses and mathematical modelling of COVID-19 and other diseases.

While there is ample evidence of the overall reduction in perinatal and pregnancy-related mortality in Ethiopia, it remains uncertain if geographic disparities have diminished. This study aimed to investigate perinatal and pregnancy-related mortality spatial distributions, trends over time, and factors associated with the distribution in Ethiopia. We used data from Ethiopian Demographic and Health Surveys conducted in Ethiopia in 2000, 2005, 2011, and 2016. In each survey, around 15,500 women aged 15-49 were interviewed from about 550 neighborhoods randomly sampled from across the country. Perinatal and pregnancy-related mortality were used as outcome variables. We carried out Optimized Hotspot Analysis using the Getis-Ord Gi* statistic in ArcGIS Pro to identify the time trend of geographical clusters with high (hot spot) and low (cold spot) perinatal and pregnancy-related mortality. In addition, we conducted a Geographically Weighted Poisson Regression in R to examine the factors associated with the spatial distribution of perinatal and pregnancy-related mortality. Perinatal and pregnancy-related mortality exhibited a clustering pattern indicating the presence of geographic inequality, with a decreasing pattern from 2000 to 2016. We detected hotspot areas in developed administrative regions of Amhara, Oromia, and Southern Nations, indicating inequality within large regions. Inequality in perinatal mortality was associated with rural residence, younger age of women, and high birth rate, whereas pregnancy-related mortality was associated with low autonomy, younger age, and anemia. We found that anemia (p-value = 0.01) has a geographically varying relationship with perinatal mortality, while education (p-value = 0.03) and wealth (p-value = 0.01) with pregnancy-related mortality. While there has been a reduction during the study period, geographical disparities in perinatal and pregnancy-related mortality still persist. Therefore, targeting intervention programs in areas where spatial inequalities still persist is essential for effectively utilizing scarce resources., (© The Author(s) 2024. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.)

Introduction: Globally, the majority of births happen in urban areas. Ensuring that women and their newborns benefit from a complete package of high-quality care during pregnancy, childbirth and the postnatal period present specific challenges in large cities. We examine health service utilisation and content of care along the maternal continuum of care (CoC) in 22 large African cities., Methods: We analysed data from the most recent Demographic and Health Survey (DHS) since 2013 in any African country with at least one city of ≥ 1 million inhabitants in 2015. Women with live births from survey clusters in the most populous city per country were identified. We analysed 17 indicators capturing utilisation, sector and level of health facilities and content of three maternal care services: antenatal care (ANC), childbirth care and postnatal care (PNC), and a composite indicator capturing completion of the maternal CoC. We developed a categorisation of cities according to performance on utilisation and content within maternal CoC., Results: The study sample included 25 326 live births reported by 19 217 women. Heterogeneity in the performance in the three services was observed across cities and across the three services within cities. ANC utilisation was high (>85%); facility-based childbirth and PNC ranged widely, 77%-99% and 29%-94%, respectively. Most cities showed inconsistent levels of utilisation and content across the maternal CoC, Cotonou and Accra showed relatively best and Nairobi and Ndjamena worst performance., Conclusion: This exploratory analysis showed that many DHS can be analysed on the level of large African cities to provide actionable information about the utilisation and content of the three maternal health services. Our comparative analysis of 22 cities and proposed typology of best and worst-performing cities can provide a starting point for extracting lessons learnt and addressing critical gaps in maternal health in rapidly urbanising contexts., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)