ORCID Profile
0000-0002-2963-7297
Current Organisations
Keio University
,
National Institute of Infectious Diseases
,
Tokyo Foundation for Policy Research
,
University of Tokyo
,
United Nations Development Programme
,
SEEK Development
,
National Cancer Center
,
Global Nutrition Report
,
Bill & Melinda Gates Foundation Japan Office
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Springer Science and Business Media LLC
Date: 04-02-2021
DOI: 10.1038/S41598-021-81806-3
Abstract: The international spread of COVID-19 infection has attracted global attention, but the impact of local or domestic travel restriction on public transportation network remains unclear. Passenger volume data for the domestic public transportation network in Japan and the time at which the first confirmed COVID-19 case was observed in each prefecture were extracted from public data sources. A survival approach in which a hazard was modeled as a function of the closeness centrality on the network was utilized to estimate the risk of importation of COVID-19 in each prefecture. A total of 46 prefectures with imported cases were identified. Hypothetical scenario analyses indicated that both strategies of locking down the metropolitan areas and restricting domestic airline travel would be equally effective in reducing the risk of importation of COVID-19. While caution is necessary that the data were limited to June 2020 when the pandemic was in its initial stage and that no other virus spreading routes have been considered, domestic travel restrictions were effective to prevent the spread of COVID-19 on public transportation network in Japan. Instead of lockdown that might seriously damage the economy, milder travel restrictions could have the similar impact on controlling the domestic transmission of COVID-19.
Publisher: Elsevier BV
Date: 04-2022
Publisher: Cambridge University Press (CUP)
Date: 17-06-2019
DOI: 10.1017/S136898001900140X
Abstract: To obtain projections of the prevalence of childhood malnutrition indicators up to 2030 and to analyse the changes of wealth-based inequality in malnutrition indicators and the degree of contribution of socio-economic determinants to the inequities in malnutrition indicators in Bangladesh. Additionally, to identify the risk factors of childhood malnutrition. Cross-sectional study. A Bayesian linear regression model was used to estimate trends and projections of malnutrition. For equity analysis, slope index, relative index and decomposition in concentration index were used. Multilevel logistic models were used to identify risk factors of malnutrition. Household surveys in Bangladesh from 1996 to 2014. Children under the age of 5 years. A decreasing trend was observed for all malnutrition indices. In 1990, predicted prevalence of stunting, wasting and underweight was 55·0, 15·9 and 61·8 %, respectively. By 2030, prevalence is projected to reduce to 28·8 % for stunting, 12·3 % for wasting and 17·4 % for underweight. Prevalence of stunting, wasting and underweight were 34·3, 6·9 and 32·8 percentage points lower in the richest households than the poorest households. Contribution of the wealth index to child malnutrition increased over time and the largest contribution of pro-poor inequity was explained by wealth index. Being an underweight mother, parents with a lower level of education and poorer households were the key risk factors for stunting and underweight. Our findings show an evidence-based need for targeted interventions to improve education and household income-generating activities among poor households to reduce inequalities and reduce the burden of child malnutrition in Bangladesh.
Publisher: Elsevier BV
Date: 06-2022
Publisher: Informa UK Limited
Date: 2021
Publisher: Elsevier BV
Date: 11-2018
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 10-2020
Publisher: Cambridge University Press (CUP)
Date: 2023
DOI: 10.1017/DMP.2023.136
Publisher: Elsevier BV
Date: 10-2021
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 09-2021
Publisher: BMJ
Date: 07-2016
Publisher: MDPI AG
Date: 19-05-2017
Publisher: Elsevier BV
Date: 04-2022
Publisher: Wiley
Date: 10-08-2020
Abstract: To assess the effectiveness of an HPV vaccination programme in reducing the risk of cervical abnormalities identified at subsequent screening. Retrospective cohort study using administrative health data. General population of Ferrara Province, Italy. Female residents born in 1986–1993 and participating in the organized cervical screening programme in 2011–2018, who were eligible for HPV vaccination in catch‐up cohorts. Logistic regression to evaluate the potential association between abnormal cervical cytology and one, two, three or at least one dose of HPV vaccine. Cervical abnormalities, as predicted by low‐grade or high‐grade cytology, by number of vaccine doses, stratified by age. The s le consisted of 7785 women (mean age 27.5 years, SD 2.3). Overall, 391 (5.0%) were vaccinated with ≥1 dose and 893 (11.5%) had abnormal cytology. Women receiving at least one vaccine dose were significantly less likely to have an abnormal cytology (adjusted odds ratio 0.52 95% confidence interval 0.34–0.79). Similar results were observed for women receiving a single dose, for both bivalent and quadrivalent vaccines, and applying buffer periods (excluding cytological outcomes within 1 month, 6 months and 1 year of the first dose). In the context of an organised cervical screening programme in Italy, catch‐up HPV vaccination almost halved the risk of cytological abnormalities. Among Ferrara women, vaccination against human papillomavirus halved the risk of screening cervical abnormalities.
Publisher: Elsevier BV
Date: 10-2020
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Shuhei Nomura.