Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

Impact of climate on varicella distribution in Bulgaria (2009-2018)

T. Todorova

. 2024 ; 32 (3) : 178-182. [pub] -

Language English Country Czech Republic

Document type Journal Article

Digital library NLK
Source

E-resources Online Full text

NLK Free Medical Journals from 2004
ProQuest Central from 2009-03-01 to 6 months ago
Medline Complete (EBSCOhost) from 2006-03-01 to 6 months ago
Nursing & Allied Health Database (ProQuest) from 2009-03-01 to 6 months ago
Health & Medicine (ProQuest) from 2009-03-01 to 6 months ago
Public Health Database (ProQuest) from 2009-03-01 to 6 months ago
ROAD: Directory of Open Access Scholarly Resources from 1993

OBJECTIVES: Temperature is the most important environmental variable associated with the varicella frequency across the world. The present study compares the incidence of varicella in the districts of Bulgaria against some climatic factors and tries to find environmental variables which account for the differences in the varicella distribution observed among the Bulgarian districts. METHODS: The 28 Bulgarian districts were used as units of observation and their average 10-year varicella incidence (2009-2018) was tested for correlation with the standard bioclimatic variables of WorldClim, version 2. RESULTS: The WorldClim estimates for the annual mean temperature, the maximal temperature of the warmest month, the minimal temperature of the coldest month, the mean temperature of the coldest quarter, and the solar radiation inversely and not significantly correlated with the average 10-year varicella frequency. The precipitation of the warmest quarter and the wind speed correlated positively and also not significantly. Only the mean temperature of the driest quarter correlates significantly with the incidence at district level (Spearman's rank correlation coefficient of -0.45, p = 0.02). The mean of average 10-year varicella incidence rates among districts with driest quarter during the winter (January, February, March) was 387.6 ± 114.1, while among districts with driest quarter during the summer/autumn (July, August, September or August, September, October) 283.3 ± 102.1 (p = 0.02, ANOVA test). CONCLUSIONS: Dry winter and/or wet summer appear as significant determinants for the fluctuant spread of varicella infection in Bulgaria.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc24017570
003      
CZ-PrNML
005      
20250507135838.0
007      
ta
008      
241004s2024 xr bd f 000 0|eng||
009      
AR
024    7_
$a 10.21101/cejph.a7792 $2 doi
035    __
$a (PubMed)39352093
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xr
100    1_
$a Todorova, Tatina $u Department of Microbiology and Virology, Faculty of Medicine, Medical University Varna, Varna, Bulgaria
245    10
$a Impact of climate on varicella distribution in Bulgaria (2009-2018) / $c T. Todorova
520    9_
$a OBJECTIVES: Temperature is the most important environmental variable associated with the varicella frequency across the world. The present study compares the incidence of varicella in the districts of Bulgaria against some climatic factors and tries to find environmental variables which account for the differences in the varicella distribution observed among the Bulgarian districts. METHODS: The 28 Bulgarian districts were used as units of observation and their average 10-year varicella incidence (2009-2018) was tested for correlation with the standard bioclimatic variables of WorldClim, version 2. RESULTS: The WorldClim estimates for the annual mean temperature, the maximal temperature of the warmest month, the minimal temperature of the coldest month, the mean temperature of the coldest quarter, and the solar radiation inversely and not significantly correlated with the average 10-year varicella frequency. The precipitation of the warmest quarter and the wind speed correlated positively and also not significantly. Only the mean temperature of the driest quarter correlates significantly with the incidence at district level (Spearman's rank correlation coefficient of -0.45, p = 0.02). The mean of average 10-year varicella incidence rates among districts with driest quarter during the winter (January, February, March) was 387.6 ± 114.1, while among districts with driest quarter during the summer/autumn (July, August, September or August, September, October) 283.3 ± 102.1 (p = 0.02, ANOVA test). CONCLUSIONS: Dry winter and/or wet summer appear as significant determinants for the fluctuant spread of varicella infection in Bulgaria.
650    _2
$a lidé $7 D006801
650    12
$a plané neštovice $x epidemiologie $7 D002644
650    _2
$a incidence $7 D015994
650    12
$a podnebí $7 D002980
650    _2
$a roční období $7 D012621
651    _2
$a Bulharsko $x epidemiologie $7 D002031
655    _2
$a časopisecké články $7 D016428
773    0_
$w MED00001083 $t Central European journal of public health $x 1210-7778 $g Roč. 32, č. 3 (2024), s. 178-182
856    41
$u https://pubmed.ncbi.nlm.nih.gov/39352093 $y Pubmed
910    __
$a ABA008 $b B 1829 $c 562 $y p $z 0
990    __
$a 20241004 $b ABA008
991    __
$a 20250507135836 $b ABA008
999    __
$a ok $b bmc $g 2316490 $s 1229520
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2024 $b 32 $c 3 $d 178-182 $e - $i 1210-7778 $m Central European journal of public health $n Cent Eur J Public Health $x MED00001083
LZP    __
$b NLK124 $a Pubmed-20241004

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...