Literature DB >> 34594948

Weather Variability, Socioeconomic Factors, and Pneumonia in Children Under Five-Years Old - Bangladesh, 2012-2016.

Mohammad Zahid Hossain1,2, Shilu Tong1,3,4,5, Hilary Bambrick1, Md Alfazal Khan6, Wenbiao Hu1.   

Abstract

WHAT IS ALREADY KNOWN ON THIS TOPIC?: Different socioecological factors were associated with childhood pneumonia in Bangladesh. However, previous studies did not assess spatial patterns, and socioecological factors and spatial variation have the potential to improve the accuracy and predictive ability of existing models. WHAT IS ADDED BY THIS REPORT?: The spatial random effects were present at the district level and were heterogeneous. Average temperature, temperature variation, and population density may influence the spatial pattern of childhood pneumonia in Bangladesh. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE?: The study results will help policymakers and health managers to identify the vulnerable districts, plan further investigations, help to improve proper resource allocation, and improve health interventions. Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2021.

Entities:  

Keywords:  Bayesian spatial analysis; Childhood pneumonia; Socioecological factors; Spatial distribution; Weather variability

Year:  2021        PMID: 34594948      PMCID: PMC8393053          DOI: 10.46234/ccdcw2021.161

Source DB:  PubMed          Journal:  China CDC Wkly        ISSN: 2096-7071


  5 in total

Review 1.  A comparison of Bayesian spatial models for disease mapping.

Authors:  Nicky Best; Sylvia Richardson; Andrew Thomson
Journal:  Stat Methods Med Res       Date:  2005-02       Impact factor: 3.021

2.  Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results.

Authors:  M C Thomson; S J Connor; U D'Alessandro; B Rowlingson; P Diggle; M Cresswell; B Greenwood
Journal:  Am J Trop Med Hyg       Date:  1999-07       Impact factor: 2.345

3.  Association between meteorological factors and hepatitis A in Spain 2010-2014.

Authors:  Pedro Gullón; Carmen Varela; Elena Vanessa Martínez; Diana Gómez-Barroso
Journal:  Environ Int       Date:  2017-03-18       Impact factor: 9.621

4.  Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference.

Authors:  Earl W Duncan; Nicole M White; Kerrie Mengersen
Journal:  Int J Health Geogr       Date:  2017-12-16       Impact factor: 3.918

5.  Spatial patterns and socioecological drivers of dengue fever transmission in Queensland, Australia.

Authors:  Wenbiao Hu; Archie Clements; Gail Williams; Shilu Tong; Kerrie Mengersen
Journal:  Environ Health Perspect       Date:  2011-10-20       Impact factor: 9.031

  5 in total

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