Last data update: Sep 23, 2024. (Total: 47723 publications since 2009)
Records 1-5 (of 5 Records) |
Query Trace: Valleau M [original query] |
---|
An evaluation of the National Influenza Vaccination Program in the Republic of Moldova, 2023-2024
Shen AK , Gutu V , Druc A , Ebama M , Belayneh A , Adams B , Valleau M , Paraschiv A . Vaccine 2024 42 (26) 126322 During the 2023-2024 influenza season, the Republic of Moldova, a lower-middle income country seeking accession into the European Union, independently financed their influenza vaccine supply transitioning from external support from the Partnership for International Vaccine Initiatives, a collaboration conceived in 2015. As part of this transition, a mixed-methods evaluation was conducted from May 2023 - January 2024 to identify current strengths and weaknesses of the influenza vaccination program. A total of 157 interviews were conducted: one with the National Immunization Program (NIP), six with district health officers, 18 at health facilities, 18 with caregivers/parents, 34 with healthcare workers, 43 with adults with chronic diseases, 19 with pregnant women, and 13 vaccine observation sessions; further five expert interviews with an international organization, the insurance company, senior government officials in public health and within the ministry of health, and those involved with COVID-19 were conducted. The Republic of Moldova's NIP has benefited from decades of experience, internal commitments to progress, and contributions from external partners. Despite this progress, the evaluation recognized four areas for improvement. Recommendations from the evaluation assessment included: 1) develop a national strategy for immunization, including the establishment of national goals in consultation with the national immunization technical advisory group (NITAG); 2) expand immunization communications and advocacy initiatives, particularly to adults and pregnant individuals; 3) leverage trusted patient-doctor relationships and encourage vaccination as a healthcare norm with physician specialists; and 4) conduct operations research to better understand vaccine hesitancy in populations such as pregnant individuals. Additional thematic findings emphasized the importance of ensuring timely receipt of vaccine doses into the country no later than September, as medical providers reported difficulty administering doses when vaccines were delivered after September. Our findings outline ways to further strengthen the Republic of Moldova's self-sustained annual influenza vaccination program. |
Costs and cost-effectiveness of influenza illness and vaccination in low- and middle-income countries: A systematic review from 2012 to 2022
Gharpure R , Chard AN , Cabrera Escobar M , Zhou W , Valleau MM , Yau TS , Bresee JS , Azziz-Baumgartner E , Pallas SW , Lafond KE . PLoS Med 2024 21 (1) e1004333 BACKGROUND: Historically, lack of data on cost-effectiveness of influenza vaccination has been identified as a barrier to vaccine use in low- and middle-income countries. We conducted a systematic review of economic evaluations describing (1) costs of influenza illness; (2) costs of influenza vaccination programs; and (3) vaccination cost-effectiveness from low- and middle-income countries to assess if gaps persist that could hinder global implementation of influenza vaccination programs. METHODS AND FINDINGS: We performed a systematic search in Medline, Embase, Cochrane Library, CINAHL, and Scopus in January 2022 and October 2023 using a combination of the following key words: "influenza" AND "cost" OR "economic." The search included studies with publication years 2012 through 2022. Studies were eligible if they (1) presented original, peer-reviewed findings on cost of illness, cost of vaccination program, or cost-effectiveness of vaccination for seasonal influenza; and (2) included data for at least 1 low- or middle-income country. We abstracted general study characteristics and data specific to each of the 3 study types. Of 54 included studies, 26 presented data on cost-effectiveness, 24 on cost-of-illness, and 5 on program costs. Represented countries were classified as upper-middle income (UMIC; n = 12), lower-middle income (LMIC; n = 7), and low-income (LIC; n = 3). The most evaluated target groups were children (n = 26 studies), older adults (n = 17), and persons with chronic medical conditions (n = 12); fewer studies evaluated pregnant persons (n = 9), healthcare workers (n = 5), and persons in congregate living settings (n = 1). Costs-of-illness were generally higher in UMICs than in LMICs/LICs; however, the highest national economic burden, as a percent of gross domestic product and national health expenditure, was reported from an LIC. Among studies that evaluated the cost-effectiveness of influenza vaccine introduction, most (88%) interpreted at least 1 scenario per target group as either cost-effective or cost-saving, based on thresholds designated in the study. Key limitations of this work included (1) heterogeneity across included studies; (2) restrictiveness of the inclusion criteria used; and (3) potential for missed influenza burden from use of sentinel surveillance systems. CONCLUSIONS: The 54 studies identified in this review suggest an increased momentum to generate economic evidence about influenza illness and vaccination from low- and middle-income countries during 2012 to 2022. However, given that we observed substantial heterogeneity, continued evaluation of the economic burden of influenza illness and costs/cost-effectiveness of influenza vaccination, particularly in LICs and among underrepresented target groups (e.g., healthcare workers and pregnant persons), is needed. Use of standardized methodology could facilitate pooling across settings and knowledge sharing to strengthen global influenza vaccination programs. |
Impact of close interpersonal contact on COVID-19 incidence: evidence from one year of mobile device data (preprint)
Crawford FW , Jones SA , Cartter M , Dean SG , Warren JL , Li ZR , Barbieri J , Campbell J , Kenney P , Valleau T , Morozova O . medRxiv 2021 Close contact between people is the primary route for transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19). We sought to quantify interpersonal contact at the population-level by using anonymized mobile device geolocation data. We computed the frequency of contact (within six feet) between people in Connecticut during February 2020 - January 2021. Then we aggregated counts of contact events by area of residence to obtain an estimate of the total intensity of interpersonal contact experienced by residents of each town for each day. When incorporated into a susceptible-exposed-infective-removed (SEIR) model of COVID-19 transmission, the contact rate accurately predicted COVID-19 cases in Connecticut towns during the timespan. The pattern of contact rate in Connecticut explains the large initial wave of infections during March-April, the subsequent drop in cases during June-August, local outbreaks during August-September, broad statewide resurgence during September-December, and decline in January 2021. Contact rate data can help guide public health messaging campaigns to encourage social distancing and in the allocation of testing resources to detect or prevent emerging local outbreaks more quickly than traditional case investigation. ONE SENTENCE SUMMARY: Close interpersonal contact measured using mobile device location data explains dynamics of COVID-19 transmission in Connecticut during the first year of the pandemic. |
Understanding gender-based violence service delivery in CDC-supported health facilities: 15 Sub-Saharan African Countries, 2017-2021
Kanagasabai U , Valleau C , Cain M , Chevalier MS , Hegle J , Patel P , Benevides R , Trika JB , Angumua C , Mpingulu M , Ferdinand K , Sida F , Galloway K , Kambona C , Oluoch P , Msungama W , Katengeza H , Correia D , Duffy M , Cossa RMV , Coomer R , Ayo A , Ukanwa C , Tuyishime E , Dladla S , Drummond J , Magesa D , Kitalile J , Apondi R , Okuku J , Chisenga T , Cham HJ . AIDS Educ Prev 2023 35 39-51 Gender-based violence (GBV) is a complex issue deeply rooted in social structures, making its eradication challenging. GBV increases the risk of HIV transmission and is a barrier to HIV testing, care, and treatment. Quality clinical services for GBV, which includes the provision of HIV postexposure prophylaxis (PEP), vary, and service delivery data are lacking. We describe GBV clinical service delivery in 15 countries supported by the President's Emergency Plan for AIDS Relief (PEPFAR) through the U.S. Centers for Disease Control and Prevention. Through a descriptive statistical analysis of PEPFAR Monitoring, Evaluation, and Reporting (MER) data, we found a 252% increase in individuals receiving GBV clinical services, from 158,691 in 2017 to 558,251 in 2021. PEP completion was lowest (15%) among 15-19-year-olds. Understanding GBV service delivery is important for policy makers, program managers, and providers to guide interventions to improve the quality of service delivery and contribute to HIV epidemic control. |
Impact of close interpersonal contact on COVID-19 incidence: Evidence from 1 year of mobile device data.
Crawford FW , Jones SA , Cartter M , Dean SG , Warren JL , Li ZR , Barbieri J , Campbell J , Kenney P , Valleau T , Morozova O . Sci Adv 2022 8 (1) eabi5499 Close contact between people is the primary route for transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19). We quantified interpersonal contact at the population level using mobile device geolocation data. We computed the frequency of contact (within 6 feet) between people in Connecticut during February 2020 to January 2021 and aggregated counts of contact events by area of residence. When incorporated into a SEIR-type model of COVID-19 transmission, the contact rate accurately predicted COVID-19 cases in Connecticut towns. Contact in Connecticut explains the initial wave of infections during March to April, the drop in cases during June to August, local outbreaks during August to September, broad statewide resurgence during September to December, and decline in January 2021. The transmission model fits COVID-19 transmission dynamics better using the contact rate than other mobility metrics. Contact rate data can help guide social distancing and testing resource allocation. |
- Page last reviewed:Feb 1, 2024
- Page last updated:Sep 23, 2024
- Content source:
- Powered by CDC PHGKB Infrastructure