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Association between Infectious Diseases and Weather Variables in Lao People's Democratic Republic
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim Ho | - |
dc.contributor.author | 프리마 | - |
dc.date.accessioned | 2017-07-19T03:24:29Z | - |
dc.date.available | 2017-07-19T03:24:29Z | - |
dc.date.issued | 2014-02 | - |
dc.identifier.other | 000000017444 | - |
dc.identifier.uri | https://hdl.handle.net/10371/128482 | - |
dc.description | 학위논문 (석사)-- 서울대학교 보건대학원 : 보건학과(통계전공), 2014. 2. Kim Ho. | - |
dc.description.abstract | Background: Existing studies and models of the effect of climate condition on the incidence of infectious diseases have been conducted to examine the association between infectious diseases and weather variables. Infectious diseases incidences are still high in tropical and subtropical zones, which most of them are developing countries, and remain as major health problems due to economically challenged situations. Our aim is to investigate the association between infectious diseases and weather variable (local and global) in Lao Peoples Democratic Republic, a tropical and developing country, where infectious diseases are still the major health problem.
Method: We analyzed the incidence of three diseases data (dengue fever, typhoid fever, and total hepatitis) and five weather variables (mean temperature, relative humidity, rainfall, DMI, and NINO3) using Generalized Additive Models (GAMs) analysis, to conduct a fitted model that shows the association between infectious diseases and weather variables. Conclusion: The association is the strongest in dengue fever, followed by typhoid fever, and total hepatitis. For Lao Peoples Democratic Republic, both local and global weather variables (mean temperature, relative humidity, and NINO3) showed strong association with dengue fever. For typhoid fever, global weather variable (DMI) showed the strongest association. For total hepatitis, local weather variable (relative humidity) showed the strongest association in Northern and Southern regions but showed no association in Central region. | - |
dc.description.tableofcontents | Abstract
Contents Tables Figures Chapter 1. Introduction Chapter 2. Methods 2-1. Study design and setting 2-2. Data collection and processing 2-3. Statistical Analysis 2-4. Limitation Chapter 3. Results 3-1. Dengue fever 3-2. Typhoid fever 3-3. Total Hepatitis 3-4. Sensitivity Analysis Chapter 4. Discussion Chapter 5. Conclusion References Appendixes Abstract (in Korean) | - |
dc.format | application/pdf | - |
dc.format.extent | 3851000 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Dengue fever | - |
dc.subject | DMI | - |
dc.subject | Generalized Additive Models | - |
dc.subject | Infectious diseases | - |
dc.subject | Lao | - |
dc.subject | NINO3 | - |
dc.subject | Rainfall | - |
dc.subject | Relative humidity | - |
dc.subject | Temperature | - |
dc.subject | Total hepatitis | - |
dc.subject | Typhoid fever | - |
dc.subject.ddc | 614 | - |
dc.title | Association between Infectious Diseases and Weather Variables in Lao People's Democratic Republic | - |
dc.type | Thesis | - |
dc.contributor.AlternativeAuthor | Prima Lydia | - |
dc.description.degree | Master | - |
dc.citation.pages | 79 | - |
dc.contributor.affiliation | 보건대학원 보건학과(보건학전공) | - |
dc.date.awarded | 2014-02 | - |
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