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Associations of Nutritional Status with Full Immunization Coverage and Safe Hygiene Practices among Thai Children Aged 12–59 Months. Nutrients 2021; 14:nu14010034. [PMID: 35010909 PMCID: PMC8746758 DOI: 10.3390/nu14010034] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/20/2021] [Accepted: 12/21/2021] [Indexed: 11/17/2022] Open
Abstract
Prevailing prevention measures against morbidity, such as vaccination and safe hygiene practices, vary among local cultural contexts, and little is known about the extent to which these behaviors mitigate poor nutritional status in young children in Southeast Asia. We examined the associations between nutrition status with full immunization coverage, and water, sanitation and hygiene status among children aged 12–59 months in the 2015–2016 Thailand Multiple Indicator Cluster Survey (n = 9060). When adjusted for confounding factors, children with incomplete immunization status were more likely to be stunted (adjusted odds ratio (aOR) 1.47; 95% confidence interval (CI): 1.24–1.75, p < 0.001), wasted (aOR 1.67, 95% CI: 1.31–2.12, p < 0.001), and overweight (aOR 1.24, 95% CI: 1.01–1.51, p < 0.05), whereas children who used unimproved water sources were more likely to be overweight (aOR 2.43, 95% CI: 1.27–4.64, p < 0.01). The further implementation of simple and cost-effective health promotion activities and practices at the household level may be important interventions for healthy child growth and development, particularly under restricted living conditions due to COVID-19.
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Sabahelzain MM, Moukhyer M, Bosma H, van den Borne B. Determinants of Measles Vaccine Hesitancy among Sudanese Parents in Khartoum State, Sudan: A Cross-Sectional Study. Vaccines (Basel) 2021; 10:vaccines10010006. [PMID: 35062667 PMCID: PMC8780692 DOI: 10.3390/vaccines10010006] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 12/07/2021] [Accepted: 12/20/2021] [Indexed: 11/20/2022] Open
Abstract
Determinants of vaccine hesitancy are not yet well understood. This study aims to assess measles vaccine hesitancy and characterize its determinants among Sudanese parents in Omdurman in Khartoum State. A community-based cross-sectional quantitative study was conducted in Khartoum State in February 2019. The Parent Attitudes about Childhood Vaccination (PACV) was used to measure measles vaccine hesitancy. Questions about the sociodemographic characteristics of the family, the perception of the parents about the measles vaccine, and the parental exposure to information were asked. Proportions of vaccine hesitancy and coefficients of linear regression were computed. Five hundred parents were recruited for the study. We found that a significant proportion of participants (about 1 in 5 parents) had hesitations regarding the measles vaccine. Significant predictors of measles vaccine hesitancy were parental exposure to anti-vaccination information or materials (β = −0.478, p-value < 0.001), the parents’ perception of the effectiveness of measles vaccines (β = 0.093, p-value = 0.020), the age of the mother (β = 0.112, p-value = 0.017), the birth rank of the child (β = −0.116, p-value = 0.015), and the total number of the children in the family (β = 0.098, p-value = 0.013). Vaccination access issues were the common justification for parental vaccination hesitancy. Our findings indicate that investment in vaccine communication as well as addressing access issues might be an effective intervention for improving measles vaccine acceptance and, ultimately, measles vaccine coverage.
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Affiliation(s)
- Majdi M. Sabahelzain
- Department of Public Health, School of Health Sciences, Ahfad University for Women, Omdurman P.O. Box 167, Sudan
- Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, 6211 LK Maastricht, The Netherlands;
- Correspondence:
| | - Mohamed Moukhyer
- Education Development and Quality Unit, College of Applied Medical Sciences, Jazan University, Jazan 45142, Saudi Arabia;
- Public Health Programmes, School of Medicine, University of Limerick, V94 T9PX Limerick, Ireland
| | - Hans Bosma
- Department of Social Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, 6211 LK Maastricht, The Netherlands;
| | - Bart van den Borne
- Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, 6211 LK Maastricht, The Netherlands;
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Zhang K, Fan Z, Ding Y, Li J, Li H. Thiol-sensitive probe enables dynamic electrochemical assembly of serum protein for detecting SARS-Cov-2 marker protease in clinical samples. Biosens Bioelectron 2021; 194:113579. [PMID: 34474279 PMCID: PMC8383480 DOI: 10.1016/j.bios.2021.113579] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 08/15/2021] [Accepted: 08/20/2021] [Indexed: 11/24/2022]
Abstract
The poor situational awareness about the spreading of the virus especially in the underdeveloped regions calls for novel virus assays of low cost and simple operation. Currently, such assays are exclusively restricted to nucleic acid detection. In this investigation, a virus protein serum assay has been proposed in a one-step and reagent-less route. Specifically, in this assay, the main protease of the virus is targeted by a short probe mimicking its substrate. While the probe-protein interaction brings them together, a fluorescent thiol targeting molecule reacts with the free thiol groups on the target protein near the probe, generating a fluorescence signal proportional to the concentration of the target. This induces an electroactive 2D peptide nano-network on the sensing surface only in the presence of the target protein. The sensitivity of the method is enhanced through potential electrochemical scanning during incubation with serum samples. The successful detection of the virus marker protein in the serum of the infected patients encourages further development of incorporation of this method into clinical practice.
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Affiliation(s)
- Kai Zhang
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, 214063, China
| | - Zhenqiang Fan
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, 214063, China
| | - Yuedi Ding
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, 214063, China
| | - Jinlong Li
- Department of Laboratory Medicine, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 210003, PR China.
| | - Hao Li
- School of Biological Science and Technology, University of Jinan, No. 106 Jiwei Road, Jinan, Shandong, 250022, China.
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Zeitouny S, Suda KJ, Mitsantisuk K, Law MR, Tadrous M. Mapping global trends in vaccine sales before and during the first wave of the COVID-19 pandemic: a cross-sectional time-series analysis. BMJ Glob Health 2021; 6:bmjgh-2021-006874. [PMID: 34857523 PMCID: PMC8640199 DOI: 10.1136/bmjgh-2021-006874] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 10/26/2021] [Indexed: 11/17/2022] Open
Abstract
Background While the COVID-19 pandemic may have substantially hindered the provision of routine immunisation services worldwide, we have little data on the impact of the pandemic on vaccine supply chains. Methods We used time-series analysis to examine global trends in vaccine sales for a total of 34 vaccines and combination vaccines using data from the IQVIA MIDAS Database between August 2014 and August 2020 across 84 countries. We grouped countries into three income-level categories, and we modelled the changes in vaccine sales from April to August 2020 versus April to August 2019 using autoregressive integrated moving average models. Results In March 2020, global sales of vaccines dropped from 1211.1 per 100 000 to 806.2 per 100 000 population in April 2020, an overall decrease of 33.4%; however, the vaccine sales interruptions recovered disproportionately across economies. Between April 2020 and August 2020, we found a significant decrease of 20.6% (p<0.001) in vaccine sales across high-income countries (HICs), in contrast with a significant increase of 10.7% (p<0.001) across lower middle-income countries (LMICs), relative to the same period in 2019. From August 2014 through August 2020, monthly per capita vaccine sales across HICs remained, on average, at least four times higher than in LMICs and nearly three times higher than in upper middle-income countries. Conclusion Our study revealed the heterogeneous impact of COVID-19 on vaccine sales across economies while underlining the substantial consistent disparities in per capita vaccine sales before and during the first wave of the COVID-19 pandemic. Action to ensure equitable distribution of vaccines is needed.
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Affiliation(s)
- Seraphine Zeitouny
- Center for Health Services and Policy Research, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Katie J Suda
- Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.,Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Kannop Mitsantisuk
- Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Michael R Law
- Center for Health Services and Policy Research, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Mina Tadrous
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.,Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
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Cheng A, Frey K, Mwamba GN, McCarthy KA, Hoff NA, Rimoin AW. Examination of scenarios introducing rubella vaccine in the Democratic Republic of the Congo. Vaccine X 2021; 9:100127. [PMID: 34849482 PMCID: PMC8608602 DOI: 10.1016/j.jvacx.2021.100127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 10/10/2021] [Accepted: 10/29/2021] [Indexed: 11/30/2022] Open
Abstract
Serosurvey data suggest R0 values for rubella in the DRC on the range 3 to 8. Supplementary immunization activities provide multi-decade reduction in burden. Post-vaccine introduction, burden will likely be concentrated in outbreaks.
Background Rubella vaccine has yet to be introduced into the national immunization schedule of the Democratic Republic of the Congo (DRC); the current burden of congenital rubella syndrome (CRS) is unknown and likely to be high. An important consideration prior to introducing rubella containing vaccine (RCV) is the potential inverse relationship between RCV coverage and CRS incidence. Increasing RCV coverage will also increase in the average age of infection. Cumulative infections across all age groups will decrease, but the number of infections in age groups vulnerable to CRS may increase. Methods Rubella transmission dynamics in the DRC were simulated using a stochastic agent-based model of transmission. Input parameter values for known properties, demographic variables, and interventions were fixed; infectivity was inferred from seropositivity profiles in survey data. Results Our simulations of RCV introduction for the DRC demonstrate that an increase in CRS burden is unlikely. Continued endemic transmission is only plausible when routine immunization coverage is less than 40% and follow-up supplemental immunization activities have poor coverage for decades. Conclusion Increased vaccination coverage tends to increase the annual variability of CRS burden. Simulations examining low vaccination coverage and high mean CRS burden are outbreak prone, with multiple years of reduced burden followed by acute outbreaks. These outcomes contrast simulations with no vaccination coverage and high mean CRS burden, which have more consistent burden from year to year.
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Affiliation(s)
- Alvan Cheng
- Department of Epidemiology, University of California, Los Angeles, CA, USA
| | - Kurt Frey
- Institute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, WA, USA
| | | | - Kevin A McCarthy
- Institute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, WA, USA
| | - Nicole A Hoff
- Department of Epidemiology, University of California, Los Angeles, CA, USA
| | - Anne W Rimoin
- Department of Epidemiology, University of California, Los Angeles, CA, USA
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56
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Dong TQ, Wakefield J. Space-time smoothing models for subnational measles routine immunization coverage estimation with complex survey data. Ann Appl Stat 2021. [DOI: 10.1214/21-aoas1474] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Tracy Qi Dong
- Department of Biostatistics, University of Washington
| | - Jon Wakefield
- Departments of Biostatistics and Statistics, University of Washington
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Fu H, Abbas K, Klepac P, van Zandvoort K, Tanvir H, Portnoy A, Jit M. Effect of evidence updates on key determinants of measles vaccination impact: a DynaMICE modelling study in ten high-burden countries. BMC Med 2021; 19:281. [PMID: 34784922 PMCID: PMC8594955 DOI: 10.1186/s12916-021-02157-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 10/07/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Model-based estimates of measles burden and the impact of measles-containing vaccine (MCV) are crucial for global health priority setting. Recently, evidence from systematic reviews and database analyses have improved our understanding of key determinants of MCV impact. We explore how representations of these determinants affect model-based estimation of vaccination impact in ten countries with the highest measles burden. METHODS Using Dynamic Measles Immunisation Calculation Engine (DynaMICE), we modelled the effect of evidence updates for five determinants of MCV impact: case-fatality risk, contact patterns, age-dependent vaccine efficacy, the delivery of supplementary immunisation activities (SIAs) to zero-dose children, and the basic reproduction number. We assessed the incremental vaccination impact of the first (MCV1) and second (MCV2) doses of routine immunisation and SIAs, using metrics of total vaccine-averted cases, deaths, and disability-adjusted life years (DALYs) over 2000-2050. We also conducted a scenario capturing the effect of COVID-19 related disruptions on measles burden and vaccination impact. RESULTS Incorporated with the updated data sources, DynaMICE projected 253 million measles cases, 3.8 million deaths and 233 million DALYs incurred over 2000-2050 in the ten high-burden countries when MCV1, MCV2, and SIA doses were implemented. Compared to no vaccination, MCV1 contributed to 66% reduction in cumulative measles cases, while MCV2 and SIAs reduced this further to 90%. Among the updated determinants, shifting from fixed to linearly-varying vaccine efficacy by age and from static to time-varying case-fatality risks had the biggest effect on MCV impact. While varying the basic reproduction number showed a limited effect, updates on the other four determinants together resulted in an overall reduction of vaccination impact by 0.58%, 26.2%, and 26.7% for cases, deaths, and DALYs averted, respectively. COVID-19 related disruptions to measles vaccination are not likely to change the influence of these determinants on MCV impact, but may lead to a 3% increase in cases over 2000-2050. CONCLUSIONS Incorporating updated evidence particularly on vaccine efficacy and case-fatality risk reduces estimates of vaccination impact moderately, but its overall impact remains considerable. High MCV coverage through both routine immunisation and SIAs remains essential for achieving and maintaining low incidence in high measles burden settings.
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Affiliation(s)
- Han Fu
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Kaja Abbas
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
- Public Health Foundation of India, New Delhi, India
- International Vaccine Institute, Seoul, South Korea
| | - Petra Klepac
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
- Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK
| | - Kevin van Zandvoort
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Hira Tanvir
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Allison Portnoy
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Mark Jit
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
- Modelling and Economics Unit, Public Health England, London, UK
- School of Public Health, University of Hong Kong, Hong Kong, SAR China
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Causey K, Fullman N, Sorensen RJD, Galles NC, Zheng P, Aravkin A, Danovaro-Holliday MC, Martinez-Piedra R, Sodha SV, Velandia-González MP, Gacic-Dobo M, Castro E, He J, Schipp M, Deen A, Hay SI, Lim SS, Mosser JF. Estimating global and regional disruptions to routine childhood vaccine coverage during the COVID-19 pandemic in 2020: a modelling study. Lancet 2021; 398:522-534. [PMID: 34273292 PMCID: PMC8285122 DOI: 10.1016/s0140-6736(21)01337-4] [Citation(s) in RCA: 198] [Impact Index Per Article: 66.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 05/17/2021] [Accepted: 06/08/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND The COVID-19 pandemic and efforts to reduce SARS-CoV-2 transmission substantially affected health services worldwide. To better understand the impact of the pandemic on childhood routine immunisation, we estimated disruptions in vaccine coverage associated with the pandemic in 2020, globally and by Global Burden of Disease (GBD) super-region. METHODS For this analysis we used a two-step hierarchical random spline modelling approach to estimate global and regional disruptions to routine immunisation using administrative data and reports from electronic immunisation systems, with mobility data as a model input. Paired with estimates of vaccine coverage expected in the absence of COVID-19, which were derived from vaccine coverage models from GBD 2020, Release 1 (GBD 2020 R1), we estimated the number of children who missed routinely delivered doses of the third-dose diphtheria-tetanus-pertussis (DTP3) vaccine and first-dose measles-containing vaccine (MCV1) in 2020. FINDINGS Globally, in 2020, estimated vaccine coverage was 76·7% (95% uncertainty interval 74·3-78·6) for DTP3 and 78·9% (74·8-81·9) for MCV1, representing relative reductions of 7·7% (6·0-10·1) for DTP3 and 7·9% (5·2-11·7) for MCV1, compared to expected doses delivered in the absence of the COVID-19 pandemic. From January to December, 2020, we estimated that 30·0 million (27·6-33·1) children missed doses of DTP3 and 27·2 million (23·4-32·5) children missed MCV1 doses. Compared to expected gaps in coverage for eligible children in 2020, these estimates represented an additional 8·5 million (6·5-11·6) children not routinely vaccinated with DTP3 and an additional 8·9 million (5·7-13·7) children not routinely vaccinated with MCV1 attributable to the COVID-19 pandemic. Globally, monthly disruptions were highest in April, 2020, across all GBD super-regions, with 4·6 million (4·0-5·4) children missing doses of DTP3 and 4·4 million (3·7-5·2) children missing doses of MCV1. Every GBD super-region saw reductions in vaccine coverage in March and April, with the most severe annual impacts in north Africa and the Middle East, south Asia, and Latin America and the Caribbean. We estimated the lowest annual reductions in vaccine delivery in sub-Saharan Africa, where disruptions remained minimal throughout the year. For some super-regions, including southeast Asia, east Asia, and Oceania for both DTP3 and MCV1, the high-income super-region for DTP3, and south Asia for MCV1, estimates suggest that monthly doses were delivered at or above expected levels during the second half of 2020. INTERPRETATION Routine immunisation services faced stark challenges in 2020, with the COVID-19 pandemic causing the most widespread and largest global disruption in recent history. Although the latest coverage trajectories point towards recovery in some regions, a combination of lagging catch-up immunisation services, continued SARS-CoV-2 transmission, and persistent gaps in vaccine coverage before the pandemic still left millions of children under-vaccinated or unvaccinated against preventable diseases at the end of 2020, and these gaps are likely to extend throughout 2021. Strengthening routine immunisation data systems and efforts to target resources and outreach will be essential to minimise the risk of vaccine-preventable disease outbreaks, reach children who missed routine vaccine doses during the pandemic, and accelerate progress towards higher and more equitable vaccination coverage over the next decade. FUNDING Bill & Melinda Gates Foundation.
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Affiliation(s)
- Kate Causey
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Nancy Fullman
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Reed J D Sorensen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Natalie C Galles
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Aleksandr Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA; Department of Applied Mathematics, University of Washington, Seattle, WA, USA
| | | | - Ramon Martinez-Piedra
- Pan American Health Organization, Comprehensive Family Immunization Unit, Washington, DC, USA
| | - Samir V Sodha
- Department of Immunization, Vaccines and Biologicals, Word Health Organization, Geneva, Switzerland
| | | | - Marta Gacic-Dobo
- Department of Immunization, Vaccines and Biologicals, Word Health Organization, Geneva, Switzerland
| | - Emma Castro
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Jiawei He
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Megan Schipp
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Amanda Deen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Stephen S Lim
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Jonathan F Mosser
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA; Pediatric Infectious Diseases, Seattle Children's Hospital, Seattle, WA, USA.
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59
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Galles NC, Liu PY, Updike RL, Fullman N, Nguyen J, Rolfe S, Sbarra AN, Schipp MF, Marks A, Abady GG, Abbas KM, Abbasi SW, Abbastabar H, Abd-Allah F, Abdoli A, Abolhassani H, Abosetugn AE, Adabi M, Adamu AA, Adetokunboh OO, Adnani QES, Advani SM, Afzal S, Aghamir SMK, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi S, Ahmed H, Ahmed MB, Ahmed Rashid T, Ahmed Salih Y, Akalu Y, Aklilu A, Akunna CJ, Al Hamad H, Alahdab F, Albano L, Alemayehu Y, Alene KA, Al-Eyadhy A, Alhassan RK, Ali L, Aljunid SM, Almustanyir S, Altirkawi KA, Alvis-Guzman N, Amu H, Andrei CL, Andrei T, Ansar A, Ansari-Moghaddam A, Antonazzo IC, Antony B, Arabloo J, Arab-Zozani M, Artanti KD, Arulappan J, Awan AT, Awoke MA, Ayza MA, Azarian G, Azzam AY, B DB, Babar ZUD, Balakrishnan S, Banach M, Bante SA, Bärnighausen TW, Barqawi HJ, Barrow A, Bassat Q, Bayarmagnai N, Bejarano Ramirez DF, Bekuma TT, Belay HG, Belgaumi UI, Bhagavathula AS, Bhandari D, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bibi S, Bijani A, Biondi A, Boloor A, Braithwaite D, Buonsenso D, Butt ZA, Camargos P, Carreras G, Carvalho F, Castañeda-Orjuela CA, Chakinala RC, Charan J, Chatterjee S, Chattu SK, Chattu VK, Chowdhury FR, Christopher DJ, Chu DT, Chung SC, Cortesi PA, Costa VM, Couto RAS, Dadras O, Dagnew AB, Dagnew B, Dai X, Dandona L, Dandona R, De Neve JW, Derbew Molla M, Derseh BT, Desai R, Desta AA, Dhamnetiya D, Dhimal ML, Dhimal M, Dianatinasab M, Diaz D, Djalalinia S, Dorostkar F, Edem B, Edinur HA, Eftekharzadeh S, El Sayed I, El Sayed Zaki M, Elhadi M, El-Jaafary SI, Elsharkawy A, Enany S, Erkhembayar R, Esezobor CI, Eskandarieh S, Ezeonwumelu IJ, Ezzikouri S, Fares J, Faris PS, Feleke BE, Ferede TY, Fernandes E, Fernandes JC, Ferrara P, Filip I, Fischer F, Francis MR, Fukumoto T, Gad MM, Gaidhane S, Gallus S, Garg T, Geberemariyam BS, Gebre T, Gebregiorgis BG, Gebremedhin KB, Gebremichael B, Gessner BD, Ghadiri K, Ghafourifard M, Ghashghaee A, Gilani SA, Glăvan IR, Glushkova EV, Golechha M, Gonfa KB, Gopalani SV, Goudarzi H, Gubari MIM, Guo Y, Gupta VB, Gupta VK, Gutiérrez RA, Haeuser E, Halwani R, Hamidi S, Hanif A, Haque S, Harapan H, Hargono A, Hashi A, Hassan S, Hassanein MH, Hassanipour S, Hassankhani H, Hay SI, Hayat K, Hegazy MI, Heidari G, Hezam K, Holla R, Hoque ME, Hosseini M, Hosseinzadeh M, Hostiuc M, Househ M, Hsieh VCR, Huang J, Humayun A, Hussain R, Hussein NR, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Inamdar S, Iqbal U, Irham LM, Irvani SSN, Islam SMS, Ismail NE, Itumalla R, Jha RP, Joukar F, Kabir A, Kabir Z, Kalhor R, Kamal Z, Kamande SM, Kandel H, Karch A, Kassahun G, Kassebaum NJ, Katoto PDMC, Kelkay B, Kengne AP, Khader YS, Khajuria H, Khalil IA, Khan EA, Khan G, Khan J, Khan M, Khan MAB, Khang YH, Khoja AT, Khubchandani J, Kim GR, Kim MS, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Korshunov VA, Kosen S, Kuate Defo B, Kulkarni V, Kumar A, Kumar GA, Kumar N, Kwarteng A, La Vecchia C, Lami FH, Landires I, Lasrado S, Lassi ZS, Lee H, Lee YY, Levi M, Lewycka S, Li S, Liu X, Lobo SW, Lopukhov PD, Lozano R, Lutzky Saute R, Magdy Abd El Razek M, Makki A, Malik AA, Mansour-Ghanaei F, Mansournia MA, Mantovani LG, Martins-Melo FR, Matthews PC, Medina JRC, Mendoza W, Menezes RG, Mengesha EW, Meretoja TJ, Mersha AG, Mesregah MK, Mestrovic T, Miazgowski B, Milne GJ, Mirica A, Mirrakhimov EM, Mirzaei HR, Misra S, Mithra P, Moghadaszadeh M, Mohamed TA, Mohammad KA, Mohammad Y, Mohammadi M, Mohammadian-Hafshejani A, Mohammed A, Mohammed S, Mohapatra A, Mokdad AH, Molokhia M, Monasta L, Moni MA, Montasir AA, Moore CE, Moradi G, Moradzadeh R, Moraga P, Mueller UO, Munro SB, Naghavi M, Naimzada MD, Naveed M, Nayak BP, Negoi I, Neupane Kandel S, Nguyen TH, Nikbakhsh R, Ningrum DNA, Nixon MR, Nnaji CA, Noubiap JJ, Nuñez-Samudio V, Nwatah VE, Oancea B, Ochir C, Ogbo FA, Olagunju AT, Olakunde BO, Onwujekwe OE, Otstavnov N, Otstavnov SS, Owolabi MO, Padubidri JR, Pakshir K, Park EC, Pashazadeh Kan F, Pathak M, Paudel R, Pawar S, Pereira J, Peres MFP, Perianayagam A, Pinheiro M, Pirestani M, Podder V, Polibin RV, Pollok RCG, Postma MJ, Pottoo FH, Rabiee M, Rabiee N, Radfar A, Rafiei A, Rahimi-Movaghar V, Rahman M, Rahmani AM, Rahmawaty S, Rajesh A, Ramshaw RE, Ranasinghe P, Rao CR, Rao SJ, Rathi P, Rawaf DL, Rawaf S, Renzaho AMN, Rezaei N, Rezai MS, Rios-Blancas M, Rogowski ELB, Ronfani L, Rwegerera GM, Saad AM, Sabour S, Saddik B, Saeb MR, Saeed U, Sahebkar A, Sahraian MA, Salam N, Salimzadeh H, Samaei M, Samy AM, Sanabria J, Sanmarchi F, Santric-Milicevic MM, Sartorius B, Sarveazad A, Sathian B, Sawhney M, Saxena D, Saxena S, Seidu AA, Seylani A, Shaikh MA, Shamsizadeh M, Shetty PH, Shigematsu M, Shin JI, Sidemo NB, Singh A, Singh JA, Sinha S, Skryabin VY, Skryabina AA, Soheili A, Tadesse EG, Tamiru AT, Tan KK, Tekalegn Y, Temsah MH, Thakur B, Thapar R, Thavamani A, Tobe-Gai R, Tohidinik HR, Tovani-Palone MR, Traini E, Tran BX, Tripathi M, Tsegaye B, Tsegaye GW, Ullah A, Ullah S, Ullah S, Unim B, Vacante M, Velazquez DZ, Vo B, Vollmer S, Vu GT, Vu LG, Waheed Y, Winkler AS, Wiysonge CS, Yiğit V, Yirdaw BW, Yon DK, Yonemoto N, Yu C, Yuce D, Yunusa I, Zamani M, Zamanian M, Zewdie DT, Zhang ZJ, Zhong C, Zumla A, Murray CJL, Lim SS, Mosser JF. Measuring routine childhood vaccination coverage in 204 countries and territories, 1980-2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1. Lancet 2021; 398:503-521. [PMID: 34273291 PMCID: PMC8358924 DOI: 10.1016/s0140-6736(21)00984-3] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/16/2021] [Accepted: 04/22/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Measuring routine childhood vaccination is crucial to inform global vaccine policies and programme implementation, and to track progress towards targets set by the Global Vaccine Action Plan (GVAP) and Immunization Agenda 2030. Robust estimates of routine vaccine coverage are needed to identify past successes and persistent vulnerabilities. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020, Release 1, we did a systematic analysis of global, regional, and national vaccine coverage trends using a statistical framework, by vaccine and over time. METHODS For this analysis we collated 55 326 country-specific, cohort-specific, year-specific, vaccine-specific, and dose-specific observations of routine childhood vaccination coverage between 1980 and 2019. Using spatiotemporal Gaussian process regression, we produced location-specific and year-specific estimates of 11 routine childhood vaccine coverage indicators for 204 countries and territories from 1980 to 2019, adjusting for biases in country-reported data and reflecting reported stockouts and supply disruptions. We analysed global and regional trends in coverage and numbers of zero-dose children (defined as those who never received a diphtheria-tetanus-pertussis [DTP] vaccine dose), progress towards GVAP targets, and the relationship between vaccine coverage and sociodemographic development. FINDINGS By 2019, global coverage of third-dose DTP (DTP3; 81·6% [95% uncertainty interval 80·4-82·7]) more than doubled from levels estimated in 1980 (39·9% [37·5-42·1]), as did global coverage of the first-dose measles-containing vaccine (MCV1; from 38·5% [35·4-41·3] in 1980 to 83·6% [82·3-84·8] in 2019). Third-dose polio vaccine (Pol3) coverage also increased, from 42·6% (41·4-44·1) in 1980 to 79·8% (78·4-81·1) in 2019, and global coverage of newer vaccines increased rapidly between 2000 and 2019. The global number of zero-dose children fell by nearly 75% between 1980 and 2019, from 56·8 million (52·6-60·9) to 14·5 million (13·4-15·9). However, over the past decade, global vaccine coverage broadly plateaued; 94 countries and territories recorded decreasing DTP3 coverage since 2010. Only 11 countries and territories were estimated to have reached the national GVAP target of at least 90% coverage for all assessed vaccines in 2019. INTERPRETATION After achieving large gains in childhood vaccine coverage worldwide, in much of the world this progress was stalled or reversed from 2010 to 2019. These findings underscore the importance of revisiting routine immunisation strategies and programmatic approaches, recentring service delivery around equity and underserved populations. Strengthening vaccine data and monitoring systems is crucial to these pursuits, now and through to 2030, to ensure that all children have access to, and can benefit from, lifesaving vaccines. FUNDING Bill & Melinda Gates Foundation.
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Eze P, Lawani LO, Acharya Y. Short message service (SMS) reminders for childhood immunisation in low-income and middle-income countries: a systematic review and meta-analysis. BMJ Glob Health 2021; 6:bmjgh-2021-005035. [PMID: 34290051 PMCID: PMC8296799 DOI: 10.1136/bmjgh-2021-005035] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 06/29/2021] [Indexed: 12/30/2022] Open
Abstract
Introduction Childhood vaccine delivery services in the low- and middle-income countries (LMIC) are struggling to reach every child with lifesaving vaccines. Short message service (SMS) reminders have demonstrated positive impact on a number of attrition-prone healthcare delivery services. We aimed to evaluate the effectiveness of SMS reminders in improving immunisation coverage and timeliness in LMICs. Methods PubMed, Embase, Scopus, Cochrane CENTRAL, CINAHL, CNKI, PsycINFO and Web of Science including grey literatures and Google Scholar were systematically searched for randomised controlled trials (RCTs) and non-RCTs that evaluated the effect of SMS reminders on childhood immunisation and timeliness in LMICs. Risk of bias was assessed using the Cochrane Risk of Bias 2.0 assessment tool for RCTs and Cochrane Risk of Bias in Non-randomised Studies of Interventions tool for non-RCTs. Meta-analysis was conducted using random-effects models to generate pooled estimates of risk ratio (RR). Results 18 studies, 13 RCTs and 5 non-RCTs involving 32 712 infants (17 135 in intervention groups and 15 577 in control groups) from 11 LMICs met inclusion criteria. Pooled estimates showed that SMS reminders significantly improved childhood immunisation coverage (RR=1.16; 95% CI: 1.10 to 1.21; I2=90.4%). Meta-analysis of 12 included studies involving 25 257 infants showed that SMS reminders significantly improved timely receipt of childhood vaccines (RR=1.21; 95% CI: 1.12 to 1.30; I2=87.3%). Subgroup analysis showed that SMS reminders are significantly more effective in raising childhood immunisation coverage in lower middle-income and low-income countries than in upper middle-income countries (p<0.001) and sending more than two SMS reminders significantly improves timely receipt of childhood vaccines than one or two SMS reminders (p=0.040). Conclusion Current evidence from LMICs, although with significant heterogeneity, suggests that SMS reminders can contribute to achieving high and timely childhood immunisation coverage. PROSPERO registration number CRD42021225843.
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Affiliation(s)
- Paul Eze
- Department of Health Policy and Administration, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Lucky Osaheni Lawani
- Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Yubraj Acharya
- Department of Health Policy and Administration, Pennsylvania State University, University Park, Pennsylvania, USA
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Chang SY, Bisht A, Faysman K, Schiller GJ, Uslan DZ, Multani A. Vaccine-Associated Measles in a Hematopoietic Cell Transplant Recipient: Case Report and Comprehensive Review of the Literature. Open Forum Infect Dis 2021; 8:ofab326. [PMID: 34377725 PMCID: PMC8339276 DOI: 10.1093/ofid/ofab326] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 06/18/2021] [Indexed: 01/04/2023] Open
Abstract
Measles is a worldwide viral disease that can cause fatal complications in immunocompromised hosts such as hematopoietic cell transplant (HCT) recipients. The live attenuated measles, mumps, and rubella (MMR) vaccine is generally contraindicated post-HCT due to the risk for vaccine-associated measles. This, combined with decreasing vaccination rates due to vaccine hesitancy and the coronavirus disease 2019 pandemic, raises significant concerns for a measles resurgence that could portend devastating consequences for immunocompromised hosts. Multiple guidelines have included criteria to determine which HCT recipients can safely receive the MMR vaccine. Here, we report a case of vaccine-associated measles in a HCT recipient who met guideline-recommended criteria for MMR vaccination. The objective of this article is to query these criteria, highlight the importance of MMR vaccination, and comprehensively review the literature.
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Affiliation(s)
- Sandy Y Chang
- Division of Infectious Diseases, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Anjali Bisht
- Clinical Epidemiology and Infection Prevention, UCLA Health, Los Angeles, California, USA
| | - Karolina Faysman
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Gary J Schiller
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Daniel Z Uslan
- Division of Infectious Diseases, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
- Clinical Epidemiology and Infection Prevention, UCLA Health, Los Angeles, California, USA
| | - Ashrit Multani
- Division of Infectious Diseases, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
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Mesa-Vieira C, Botero-Rodríguez F, Padilla-Muñoz A, Franco OH, Gómez-Restrepo C. Reprint of: The Dark Side of the Moon: Global challenges in the distribution of vaccines and implementation of vaccination plans against COVID-19. Maturitas 2021; 150:61-63. [PMID: 34274076 PMCID: PMC8279820 DOI: 10.1016/j.maturitas.2021.05.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 05/14/2021] [Accepted: 05/18/2021] [Indexed: 12/29/2022]
Affiliation(s)
- Cristina Mesa-Vieira
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
| | - Felipe Botero-Rodríguez
- Departamento de Epidemiología Clínica y Bioestadística, Pontificia Universidad Javeriana, Bogotá, Colombia
| | | | - Oscar H Franco
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Carlos Gómez-Restrepo
- Departamento de Epidemiología Clínica y Bioestadística, Pontificia Universidad Javeriana, Bogotá, Colombia; Departamento de Psiquiatría y Salud Mental, Pontificia Universidad Javeriana, Bogotá, Colombia; Hospital Universitario San Ignacio, Bogotá, Colombia
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Ariyarajah A, Crowcroft NS. Measles Serosurveys: A Solution in Search of the Right Problem. Front Public Health 2021; 9:539325. [PMID: 34336748 PMCID: PMC8319640 DOI: 10.3389/fpubh.2021.539325] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 05/14/2021] [Indexed: 11/29/2022] Open
Affiliation(s)
- Archchun Ariyarajah
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Natasha S Crowcroft
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,Centre for Vaccine Preventable Diseases, University of Toronto, Toronto, ON, Canada.,Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland
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Franza L, Cianci R. Pollution, Inflammation, and Vaccines: A Complex Crosstalk. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126330. [PMID: 34208042 PMCID: PMC8296132 DOI: 10.3390/ijerph18126330] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/02/2021] [Accepted: 06/09/2021] [Indexed: 12/21/2022]
Abstract
The importance of pollution in determining human health is becoming increasingly clear, also given the dramatic consequences it has had on recent geopolitical events. Yet, the consequences of contamination are not always straightforward. In this paper, we will discuss the effects of different pollutants on different aspects of human health, in particular on the immune system and inflammation. Different environmental pollutants can have different effects on the immune system, which can then promote complex pathologies, such as autoimmune disorders and cancer. The interaction with the microbiota also further helps to determine the consequences of contamination on wellbeing. The pollution can affect vaccination efficacy, given the widespread effects of vaccination on immunity. At the same time, some vaccinations also can exert protective effects against some forms of pollution.
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Affiliation(s)
- Laura Franza
- Emergency Medicine, Catholic University of the Sacred Heart, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 8-00168 Rome, Italy;
| | - Rossella Cianci
- Dipartimento di Medicina e Chirurgia Traslazionale, Catholic University of the Sacred Heart, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 8-00168 Rome, Italy
- Correspondence: ; Tel.: +39-06-3015-7597; Fax: +39-06-3550-2775
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Mesa-Vieira C, Botero-Rodríguez F, Padilla-Muñoz A, Franco OH, Gómez-Restrepo C. The Dark Side of the Moon: Global challenges in the distribution of vaccines and implementation of vaccination plans against COVID-19. Maturitas 2021; 149:37-39. [PMID: 34083091 PMCID: PMC8152201 DOI: 10.1016/j.maturitas.2021.05.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 05/14/2021] [Accepted: 05/18/2021] [Indexed: 02/06/2023]
Affiliation(s)
- Cristina Mesa-Vieira
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
| | - Felipe Botero-Rodríguez
- Departamento de Epidemiología Clínica y Bioestadística, Pontificia Universidad Javeriana, Bogotá, Colombia
| | | | - Oscar H Franco
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Carlos Gómez-Restrepo
- Departamento de Epidemiología Clínica y Bioestadística, Pontificia Universidad Javeriana, Bogotá, Colombia; Departamento de Psiquiatría y Salud Mental, Pontificia Universidad Javeriana, Bogotá, Colombia; Hospital Universitario San Ignacio, Bogotá, Colombia
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Modeling and presentation of vaccination coverage estimates using data from household surveys. Vaccine 2021; 39:2584-2594. [PMID: 33824039 DOI: 10.1016/j.vaccine.2021.03.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 02/23/2021] [Accepted: 03/02/2021] [Indexed: 11/23/2022]
Abstract
It is becoming increasingly popular to produce high-resolution maps of vaccination coverage by fitting Bayesian geostatistical models to data from household surveys. Usually, the surveys adopt a stratified cluster sampling design. We discuss a number of crucial choices with respect to two key aspects of the map production process: the acknowledgement of the survey design in modeling, and the appropriate presentation of estimates and their uncertainties. Specifically, we consider the importance of accounting for urban/rural stratification and cluster-level non-spatial excess variation in survey outcomes, when fitting geostatistical models. We also discuss the trade-off between the geographical scale and precision of model-based estimates, and demonstrate visualization methods for mapping and ranking that emphasize the probabilistic interpretation of results. A novel approach to coverage map presentation is proposed to allow comparison and control of the overall map uncertainty. We use measles vaccination coverage in Nigeria as a motivating example and illustrate the different issues using data from the 2018 Nigeria Demographic and Health Survey.
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Xue Y, Ruan X, Xiao Y. Measles dynamics on network models with optimal control strategies. ADVANCES IN DIFFERENCE EQUATIONS 2021; 2021:138. [PMID: 33679964 PMCID: PMC7910804 DOI: 10.1186/s13662-021-03306-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 02/15/2021] [Indexed: 06/05/2023]
Abstract
To investigate the influences of heterogeneity and waning immunity on measles transmission, we formulate a network model with periodic transmission rate, and theoretically examine the threshold dynamics. We numerically find that the waning of immunity can lead to an increase in the basic reproduction number R 0 and the density of infected individuals. Moreover, there exists a critical level for average degree above which R 0 increases quicker in the scale-free network than in the random network. To design the effective control strategies for the subpopulations with different activities, we examine the optimal control problem of the heterogeneous model. Numerical studies suggest us no matter what the network is, we should implement control measures as soon as possible once the outbreak takes off, and particularly, the subpopulation with high connectivity should require high intensity of interventions. However, with delayed initiation of controls, relatively strong control measures should be given to groups with medium degrees. Furthermore, the allocation of costs (or resources) should coincide with their contact patterns.
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Affiliation(s)
- Yuyi Xue
- School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, P.R. China
| | - Xiaoe Ruan
- School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, P.R. China
| | - Yanni Xiao
- School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, P.R. China
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