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Spatio-temporal variability of malaria infection in Chahbahar County, Iran: association with the ENSO and rainfall variability

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Abstract

Malaria is one of the most widespread communicable diseases in the southeast regions of Iran, particularly the Chabahar County. Although the outbreak of this disease is a climate-related phenomenon, a comprehensive analysis of the malaria-climate relationship has not yet been investigated in Iran. The aims of this study are as follows: a) analyzing the seasonal characteristics of the various species of the infection; b) differentiating between number of patients during El Niño and La Niña and also during the wet and dry years. The monthly malaria statistics collected from twelve health centers were firstly averaged into seasonal scale and then composited with the corresponding data of the ground-based meteorological records, Southern Oscillation Index (SOI), and the satellite-based rainfall data. The proper statistical tests were used to detect differences in the number of patients between El Niño and La Niña and also between the adopted wet and dry episodes. Infection rate from the highest to the lowest was associated with summer, autumn, spring, and winter, respectively. Plasmodium falciparum, P. vivax, and the other species were responsible for 22%, 75%, and 3% of the sickness, respectively. The outbreak of P. falciparum/P. vivax occurs during autumn/summer. Due to the malaria eradication programs in urban areas, infection statistics collected from the rural areas were found to be more climate-related than that of urban regions. For rural/urban areas, the infection statistics exhibited a significant decline/increase during El Niño episodes. In autumn, spring, and winter, the patient number has significantly increased/decreased during the dry/wet years, respectively. These relationships were, however, reversed in summer.

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Data availability

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The study was supported by the office of Vice-chancellor for research of Shiraz University of Medical Sciences and also technically supported by Baluchistan University of Medical Sciences.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: [G. R. Hatam and Nazemosadat, S. M. J; Methodology: [Shafiei, R. Ghaedamini, H; Nazemosadat, Z; Najjar2,M]; Formal analysis and investigation: [ G. R. Hatam and Nazemosadat, S. M. J ], Writing - original draft preparation: [Shafiei, R. Ghaedamini ]; Writing - review and editing: [G. R. Hatam and Nazemosadat, S. M. J]; Funding acquisition: [G. R. Hatam]; Resources: [G. R. Hatam, ]; Supervision: [G. R. Hatam and Nazemosadat, S. M. J].

Corresponding author

Correspondence to Gholamreza Hatam.

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Ethics approval

The project is in accordance to the ethical principles for conducting medical research.

Consent to participate

All data can be accessed by vice chancellor of research, Baluchistan University of Medical Sciences and is available. The corresponding author on behalf of all author confirm that the manuscript has not been and will not be published or submitted elsewhere for publication.

Consent for publication

Not applicable

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: Lotfi Aleya

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Appendices

Appendix 1

Table 1. Historical records of patient number for autumn, winter and spring and. The statistics of twelve health centers with lowest values of missed data are presented. The name of the stations are presented in the footnote of this Table.

Year

Station Number

1

2

3

4

5

6

7

8

9

10

11

12

Autumn

2002

10

16

29

4

28

30

46

22

-

151

59

20

2003

5

35

76

11

31

115

96

70

-

174

41

57

2004

3

14

39

0

1

19

11

7

3

44

31

7

2005

26

22

84

4

7

37

20

14

12

102

25

16

2006

4

21

94

2

15

59

18

9

4

82

25

18

2007

10

28

53

5

2

30

53

12

4

30

8

11

2008

9

35

137

3

1

80

19

20

6

25

4

14

2009

0

12

49

1

5

20

1

6

2

12

8

1

2010

0

6

47

0

0

11

0

4

1

4

5

1

2011

2

18

21

3

2

8

2

0

4

-

-

5

Average

7

21

63

3

9

41

27

16

4

69

23

15

Winter

2002

-

-

-

-

-

-

-

-

-

-

-

-

2003

-

1

7

-

2

3

3

1

-

27

4

4

2004

-

4

10

-

0

10

2

2

-

4

3

2

2005

-

0

2

-

0

3

1

1

0

4

0

0

2006

-

4

15

-

2

3

6

0

5

12

5

2

2007

-

4

3

-

1

4

1

2

0

10

8

4

2008

-

3

6

-

0

3

2

2

0

8

2

1

2009

-

3

7

-

1

5

0

4

1

1

1

0

2010

-

4

3

-

0

7

1

2

0

3

1

0

2011

-

1

1

-

2

1

0

0

0

-

-

0

Average

-

3

6

-

1

4

2

2

1

9

3

2

  1. 1. Arabzehi, 2. Bahookalat, 3. Darges, 4. Kambal Soleyman, 5. Nagoor, 6. Nobandian, 7. Pir Sohrab, 8. Plan, 9. Sangan, 10. Shahri1, 11. Shahri2, 12. Talang

Year

Station Number

1

2

3

4

5

6

7

8

9

10

11

12

Spring

2002

3

6

10

-

14

12

4

1

-

62

10

6

2003

1

17

33

-

6

21

19

16

-

77

15

11

2004

9

30

85

-

11

46

32

23

6

79

29

31

2005

10

23

39

-

8

22

12

9

4

34

18

9

2006

1

12

20

-

6

13

7

3

3

22

10

4

2007

1

12

12

-

2

23

5

7

2

18

13

11

2008

4

23

26

-

9

22

27

8

2

23

10

8

2009

3

21

50

-

6

16

3

10

1

9

5

4

2010

2

12

29

-

0

2

0

2

0

16

6

1

2011

0

4

10

-

0

3

2

1

0

-

-

1

Average

3

16

31

-

6

18

11

8

2

38

13

9

  1. 1. Arabzehi, 2. Bahookalat, 3. Darges, 4. Kambal Soleyman, 5. Nagoor, 6. Nobandian, 7. Pir Sohrab, 8. Plan, 9. Sangan, 10. Shahri1, 11. Shahri2, 12. Talang

Appendix 2

Figure I. Spatial distribution of P. falciparum in winter.

Figure II. Spatial distribution of P. falciparum in spring.

Figure III. Spatial distribution of P. falciparum in summer. 

Figure IV. Spatial distribution of P. vivax in winter.

Figure V. Spatial distribution of P. vivax in spring.

Figure VI. Spatial distribution of P. vivax in autumn.

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Nazemosadat, S.M.J., Shafiei, R., Ghaedamini, H. et al. Spatio-temporal variability of malaria infection in Chahbahar County, Iran: association with the ENSO and rainfall variability. Environ Sci Pollut Res 29, 41757–41775 (2022). https://doi.org/10.1007/s11356-021-18326-0

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