RESUMEN
Preventing vaccine freezing is one of the biggest challenges in vaccine management. Until 2018, vaccine carriers used in the immunization program lacked features to prevent vaccine freezing. Freeze-preventive vaccine carriers (FPVCs) have an engineered liner that buffers vaccines from direct exposure to frozen ice packs. A field evaluation of three FPVCs was conducted in 24 health posts in eastern Nepal. The objective was to evaluate the FPVCs' performance, acceptability, systems fit, and cost, to inform prequalification and introduction planning. The study was carried out in two phases: in the first phase, FPVCs containing dummy vaccines (labeled "Not for Human Use") were transported to outreach sessions along with a standard vaccine carrier (SVC); in the second phase, the FPVCs were used for transporting vaccines taken to outreach sessions and used for vaccinating eligible children. The study gathered quantitative and qualitative data from health workers, logbooks, and electronic temperature monitors placed inside and outside the FPVCs. Results indicate the FPVCs successfully prevented temperatures below 0 °C more than 99% of the time-except at one site, where ambient temperatures were below the minimum rated testing temperature specified by the World Health Organization. Internal cool-down times for the FPVCs were highly variable, as were mean kinetic temperatures, possibly driven by the wide range of ambient temperatures and higher-than-expected variations in freezer performance, which, along with the need to transport ice packs to some locations, affected ice-pack temperatures. Almost all health workers requested smaller, lighter-weight FPVCs but appreciated the FPVCs' ability to prevent vaccines from freezing while avoiding undue heat exposure. FPVCs had benefit-cost ratios greater than 1 and hence good value for money. Results point to the importance of understanding the intended environment of use and the need for smaller, short-range as well as long-range carriers.
RESUMEN
In the wake of rising number of SARS-CoV-2 cases, the Government of India had placed mass-quarantine measures, termed as "lockdown" measures from end-March 2020. The subsequent phase-wise relaxation from July 2020 led to a surge in the number of cases. This necessitated an understanding of the true burden of SARS-CoV-2 in the community. Consequently, a sero-epidemiological survey was carried out in the central Indian city of Ujjain, Madhya Pradesh. This article details the processes of data acquisition, compilation, handling, and information derivation from the survey. Information on socio-demographic and serological variables were collected from 4,883 participants using a multi-stage stratified random sampling method. Appropriate weightage was calculated for each participant as sampling fraction derived from Primary Sampling Unit (PSU), Secondary Sampling Unit (SSU) and Tertiary Sampling Unit (TSU). The weightage was then applied to the data to adjust the findings at population level. The comprehensive and robust methodology employed here may act as a model for similar future endeavours. At the same time, the dataset can also be relevant for researchers in fields such as data science, epidemiology, virology and earth modelling.
RESUMEN
BACKGROUND: Low availability of women physicians in rural areas can compromise women's health care seeking, where need can be greatest. We examined the associations between availability of women physicians and maternal and child health service utilization in India. METHODS: We analyzed cross-sectional district-level data from all 256 districts in 18 states, from India's District-Level Household and Facility Survey (2012-13) and the National Family Health Survey (2015-16). Assessed measures included lady medical officers (LMOs) availability at Primary Health Centers (PHCs, which are largely rural serving), modern contraceptive use, antenatal care (ANC), skilled birth attendance (SBA), maternal postnatal care (PNC), infant PNC, and child immunization. Multilevel regression models nesting districts in states examined associations between LMO availability and health service utilization, adjusting for district-level socioeconomic status (SES) indicators (e.g., women's education, household water access), urbanicity, health insurance coverage and sampled PHCs (15 on average) within districts. FINDINGS: Only 72 of 256 districts (28.1%) reported >50% of PHCs with LMOs. In multivariable models, LMO availability in PHCs was associated with higher district prevalence (%) of modern contraceptive use [ß=0.04 (95% CI: 0.007, 0.08)], 4+ ANC [ß =0.07 (95% CI: 0.008, 0.13)], skilled birth attendance [ß=0.09 (0.03, 0.14) and maternal PNC [ß=0.08 (95% CI: 0.03, 0.12)], but not infant PNC or child immunization. INTERPRETATION: Higher district availability of women physicians is associated with higher maternal health care utilization but not child health care utilization. Improving gender parity in the physician workforce and rural women physician access may improve maternal health care use in India.