Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon

Serges Tchatchouang; Anne Laure Wetewale; Jean Claude Tedom; Emmanuel Tekwu Mouafo; Larissa Kamgue Sidze; Jean Paul Assam-Assam; Veronique Penlap Beng

doi:doi:10.11648/j.cajph.20190502.13

Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon

Serges Tchatchouang, Anne Laure Wetewale, Jean Claude Tedom, Emmanuel Tekwu Mouafo, Larissa Kamgue Sidze, Jean Paul Assam-Assam, Veronique Penlap Beng

Published in Central African Journal of Public Health (Volume 5, Issue 2)

Received: 30 August 2018 Accepted: 30 October 2018 Published: 11 March 2019

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Abstract

Tuberculosis remains a major health problem and particularly in the Centre Region of Cameroon where prevalence is still high in the city of Yaoundé. Climate has been proved to have impact on tuberculosis distribution. This study aimed at assessing possible association of TB notifications with some meteorological parameters. Daily, weekly, monthly and quaterly aggregates of tuberculosis diagnosis results for consecutive tuberculosis patients tested over one year (April 2010 until March 2011) at Jamot Hospital of Yaoundé were analysed (Microsoft excel and SPSS). A total of 665 tuberculosis patients were enrolled at the Jamot Hospital of Yaoundé during the study period. Weekly mean humidity and temperature were related to tuberculosis cases with respectively Pearson correlation coefficients of 0.291 and -0.342 even though the relation was weak. For the relationship magnitude 8.5% and 11.7% of the variance in tuberculosis cases were explained by weekly mean humidity and temperature respectively. A Poisson regression predicted more tuberculosis cases following weekly increase of humidity, a statistically significant result with p ˂ 0.001. There was 12.1% decrease in the number of tuberculosis cases for each decrease of temperature per week. However, rainfall had no impact on tuberculosis notifications even though most cases were recorded in rainy season while seasonal index changed over time. In short, tuberculosis notifications showed to be associated to two meteorological parameters: mean ambient temperature and relative mean humidity. The highest peak was in the month of June during the rainy season. Data from this work may contribute to the National Tuberculosis Control Program to model tuberculosis variation from recorded tuberculosis notifications since years in order to find an indicator for better intervention strategies for disease control.

Published in	Central African Journal of Public Health (Volume 5, Issue 2)
DOI	10.11648/j.cajph.20190502.13
Page(s)	77-82
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Meteorological Parameters, Tuberculosis, Yaoundé

References

[1]	WHO: Global tuberculosis report. In. Edited by WHO/HTM/TB/2016.13. 20 Avenue Appia, 1211 Geneva 27, Switzerland World Health Organization; 2016.
[2]	Kwedi Nolna S, Kammogne ID, Ndzinga R, Afanda B, Ntone R, Boum Y, Nolna D: Community knowledge, attitudes and practices in relation to tuberculosis in Cameroon. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease 2016, 20 (9):1199-1204.
[3]	Program NTC: [Strategic plan for the fight against tuberculosis in Cameroon, 2015-2019]. In.; 2013: 1-74.
[4]	Guo C, Du Y, Shen SQ, Lao XQ, Qian J, Ou CQ: Spatiotemporal analysis of tuberculosis incidence and its associated factors in mainland China. Epidemiology and infection 2017, 145 (12):2510-2519.
[5]	Yang Y, Guo C: Seasonality Impact on the Transmission Dynamics of Tuberculosis. 2016, 2016:8713924.
[6]	Naranbat N, Nymadawa P, Schopfer K, Rieder HL: Seasonality of tuberculosis in an Eastern-Asian country with an extreme continental climate. The European respiratory journal 2009, 34 (4):921-925.
[7]	Parrinello CM, Crossa A, Harris TG: Seasonality of tuberculosis in New York City, 1990-2007. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease 2012, 16 (1):32-37.
[8]	Koh GC, Hawthorne G, Turner AM, Kunst H, Dedicoat M: Tuberculosis incidence correlates with sunshine: an ecological 28-year time series study. PloS one 2013, 8 (3):e57752.
[9]	Zhang G, Huang S, Duan Q, Shu W, Hou Y, Zhu S, Miao X, Nie S, Wei S, Guo N et al: Application of a hybrid model for predicting the incidence of tuberculosis in Hubei, China. PloS one 2013, 8 (11):e80969.
[10]	Khaliq A, Batool SA, Chaudhry MN: Seasonality and trend analysis of tuberculosis in Lahore, Pakistan from 2006 to 2013. Journal of epidemiology and global health 2015, 5 (4):397-403.
[11]	Ane-Anyangwe IN, Akenji TN, Mbacham WF, Penlap VN, Titanji VP: Seasonal variation and prevalence of tuberculosis among health seekers in the South Western Cameroon. East African medical journal 2006, 83 (11):588-595.
[12]	Simon Brooker CAD, Helen L. Guyatt: Estimating the number of helminthic infections in the Republic of Cameroon from data on infection prevalence in schoolchildren. Bulletin of the World Health Organization 2000, 78 (12):1456–1465.
[13]	Olivry JC: Fleuves et rivières du Cameroun: MESRES-ORSTOM; 1986.
[14]	Cameroon Ministry of Transport, Rainfall and mean temperature trends in Yaoundé from 2000 to 2009 Infos bulletin.; 2009: 1-33.
[15]	Kalekar PS: Time series Forecasting using Holt-Winters Exponential Smoothing. In. Kanwal Rekhi: Kanwal Rekhi School of Information Technology; 2004: 1-13.
[16]	Sidze LK, Mouafo Tekwu E, Kuaban C, Assam Assam JP, Tedom JC, Eyangoh S, Fouda FX, Nolna D, Ntoumi F, Frank M et al: Strong decrease in streptomycin-resistance and absence of XDR 12 years after the Reorganization of the National Tuberculosis Control Program in the Central Region of Cameroon. PloS one 2014, 9 (6):e98374.
[17]	Soebiyanto RP, Clara WA, Jara J, Balmaseda A, Lara J, Lopez Moya M, Palekar R, Widdowson A, Azziz-Baumgartner E, Kiang RK: Associations between seasonal influenza and meteorological parameters in Costa Rica, Honduras and Nicaragua. Geospatial health 2015, 10 (2):372.
[18]	Omonijo AG, Oguntoke O, Matzarakis A, Adeofun CO: A Study of Weather Related Respiratory Diseases in Eco-climatic Zones African Physical Review 2011, 5 (0003):41-56.
[19]	Shilova MV, Glumnaia TV: [Influence of seasonal and environmental factors on the incidence of tuberculosis]. Problemy tuberkuleza i boleznei legkikh 2004 (2):17-22.
[20]	Cao K, Yang K, Wang C, Guo J, Tao L, Liu Q, Gehendra M, Zhang Y, Guo X: Spatial-Temporal Epidemiology of Tuberculosis in Mainland China: An Analysis Based on Bayesian Theory. International journal of environmental research and public health 2016, 13 (5).
[21]	Oguntoke O, Omonijo AG, Annegarn JH: Influence of meteorology parameters on pulmonary Tuberculosis orbidity in two Eco-climatic zones in Nigeria African journal of health sciences 2012, 20:69-76.
[22]	Petersen WF: Tuberculosis: weather and resistance. In: Annual Meeting of the American College of Chest Physicians. Atlantic City, New Jersey; 1943: 403-417.
[23]	Pinto CT, Nano FE: Stable, temperature-sensitive recombinant strain of Mycobacterium smegmatis generated through the substitution of a psychrophilic ligA gene. FEMS microbiology letters 2015, 362 (18):fnv152.
[24]	Landier J, Constantin de Magny G, Garchitorena A, Guegan JF, Gaudart J, Marsollier L, Le Gall P, Giles-Vernick T, Eyangoh S, Fontanet A et al: Seasonal Patterns of Buruli Ulcer Incidence, Central Africa, 2002-2012. Emerging infectious diseases 2015, 21 (8):1414-1417.
[25]	Fares A: Seasonality of tuberculosis. Journal of global infectious diseases 2011, 3 (1):46-55.
[26]	Martineau AR, Nhamoyebonde S, Oni T, Rangaka MX, Marais S, Bangani N, Tsekela R, Bashe L, de Azevedo V, Caldwell J et al: Reciprocal seasonal variation in vitamin D status and tuberculosis notifications in Cape Town, South Africa. Proc Natl Acad Sci U S A 2011, 108 (47):19013-19017.
[27]	Margalit I, Block C, Mor Z: Seasonality of tuberculosis in Israel, 2001-2011. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease 2016, 20 (12):1588-1593.
[28]	Azeez A, Obaromi D, Odeyemi A, Ndege J, Muntabayi R: Seasonality and Trend Forecasting of Tuberculosis Prevalence Data in Eastern Cape, South Africa, Using a Hybrid Model. International journal of environmental research and public health 2016, 13 (8):1-12.

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APA Style

Serges Tchatchouang, Anne Laure Wetewale, Jean Claude Tedom, Emmanuel Tekwu Mouafo, Larissa Kamgue Sidze, et al. (2019). Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon. Central African Journal of Public Health, 5(2), 77-82. https://doi.org/10.11648/j.cajph.20190502.13

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ACS Style

Serges Tchatchouang; Anne Laure Wetewale; Jean Claude Tedom; Emmanuel Tekwu Mouafo; Larissa Kamgue Sidze, et al. Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon. Cent. Afr. J. Public Health 2019, 5(2), 77-82. doi: 10.11648/j.cajph.20190502.13

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AMA Style

Serges Tchatchouang, Anne Laure Wetewale, Jean Claude Tedom, Emmanuel Tekwu Mouafo, Larissa Kamgue Sidze, et al. Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon. Cent Afr J Public Health. 2019;5(2):77-82. doi: 10.11648/j.cajph.20190502.13

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@article{10.11648/j.cajph.20190502.13,
  author = {Serges Tchatchouang and Anne Laure Wetewale and Jean Claude Tedom and Emmanuel Tekwu Mouafo and Larissa Kamgue Sidze and Jean Paul Assam-Assam and Veronique Penlap Beng},
  title = {Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon},
  journal = {Central African Journal of Public Health},
  volume = {5},
  number = {2},
  pages = {77-82},
  doi = {10.11648/j.cajph.20190502.13},
  url = {https://doi.org/10.11648/j.cajph.20190502.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20190502.13},
  abstract = {Tuberculosis remains a major health problem and particularly in the Centre Region of Cameroon where prevalence is still high in the city of Yaoundé. Climate has been proved to have impact on tuberculosis distribution. This study aimed at assessing possible association of TB notifications with some meteorological parameters. Daily, weekly, monthly and quaterly aggregates of tuberculosis diagnosis results for consecutive tuberculosis patients tested over one year (April 2010 until March 2011) at Jamot Hospital of Yaoundé were analysed (Microsoft excel and SPSS). A total of 665 tuberculosis patients were enrolled at the Jamot Hospital of Yaoundé during the study period. Weekly mean humidity and temperature were related to tuberculosis cases with respectively Pearson correlation coefficients of 0.291 and -0.342 even though the relation was weak. For the relationship magnitude 8.5% and 11.7% of the variance in tuberculosis cases were explained by weekly mean humidity and temperature respectively. A Poisson regression predicted more tuberculosis cases following weekly increase of humidity, a statistically significant result with p ˂ 0.001. There was 12.1% decrease in the number of tuberculosis cases for each decrease of temperature per week. However, rainfall had no impact on tuberculosis notifications even though most cases were recorded in rainy season while seasonal index changed over time. In short, tuberculosis notifications showed to be associated to two meteorological parameters: mean ambient temperature and relative mean humidity. The highest peak was in the month of June during the rainy season. Data from this work may contribute to the National Tuberculosis Control Program to model tuberculosis variation from recorded tuberculosis notifications since years in order to find an indicator for better intervention strategies for disease control.},
 year = {2019}
}

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TY  - JOUR
T1  - Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon
AU  - Serges Tchatchouang
AU  - Anne Laure Wetewale
AU  - Jean Claude Tedom
AU  - Emmanuel Tekwu Mouafo
AU  - Larissa Kamgue Sidze
AU  - Jean Paul Assam-Assam
AU  - Veronique Penlap Beng
Y1  - 2019/03/11
PY  - 2019
N1  - https://doi.org/10.11648/j.cajph.20190502.13
DO  - 10.11648/j.cajph.20190502.13
T2  - Central African Journal of Public Health
JF  - Central African Journal of Public Health
JO  - Central African Journal of Public Health
SP  - 77
EP  - 82
PB  - Science Publishing Group
SN  - 2575-5781
UR  - https://doi.org/10.11648/j.cajph.20190502.13
AB  - Tuberculosis remains a major health problem and particularly in the Centre Region of Cameroon where prevalence is still high in the city of Yaoundé. Climate has been proved to have impact on tuberculosis distribution. This study aimed at assessing possible association of TB notifications with some meteorological parameters. Daily, weekly, monthly and quaterly aggregates of tuberculosis diagnosis results for consecutive tuberculosis patients tested over one year (April 2010 until March 2011) at Jamot Hospital of Yaoundé were analysed (Microsoft excel and SPSS). A total of 665 tuberculosis patients were enrolled at the Jamot Hospital of Yaoundé during the study period. Weekly mean humidity and temperature were related to tuberculosis cases with respectively Pearson correlation coefficients of 0.291 and -0.342 even though the relation was weak. For the relationship magnitude 8.5% and 11.7% of the variance in tuberculosis cases were explained by weekly mean humidity and temperature respectively. A Poisson regression predicted more tuberculosis cases following weekly increase of humidity, a statistically significant result with p ˂ 0.001. There was 12.1% decrease in the number of tuberculosis cases for each decrease of temperature per week. However, rainfall had no impact on tuberculosis notifications even though most cases were recorded in rainy season while seasonal index changed over time. In short, tuberculosis notifications showed to be associated to two meteorological parameters: mean ambient temperature and relative mean humidity. The highest peak was in the month of June during the rainy season. Data from this work may contribute to the National Tuberculosis Control Program to model tuberculosis variation from recorded tuberculosis notifications since years in order to find an indicator for better intervention strategies for disease control.
VL  - 5
IS  - 2
ER  -

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Author Information

Serges Tchatchouang

Biotechnology Centre of Nkolbisson, Laboratory for Tuberculosis Research, University of Yaoundé I, Yaoundé, Cameroon
Anne Laure Wetewale

Biotechnology Centre of Nkolbisson, Laboratory for Tuberculosis Research, University of Yaoundé I, Yaoundé, Cameroon
Jean Claude Tedom

Biotechnology Centre of Nkolbisson, Laboratory for Tuberculosis Research, University of Yaoundé I, Yaoundé, Cameroon
Emmanuel Tekwu Mouafo

Biotechnology Centre of Nkolbisson, Laboratory for Tuberculosis Research, University of Yaoundé I, Yaoundé, Cameroon
Larissa Kamgue Sidze

Biotechnology Centre of Nkolbisson, Laboratory for Tuberculosis Research, University of Yaoundé I, Yaoundé, Cameroon
Jean Paul Assam-Assam

Biotechnology Centre of Nkolbisson, Laboratory for Tuberculosis Research, University of Yaoundé I, Yaoundé, Cameroon
Veronique Penlap Beng

Biotechnology Centre of Nkolbisson, Laboratory for Tuberculosis Research, University of Yaoundé I, Yaoundé, Cameroon

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Plain Text BibTeX RIS

APA Style

Serges Tchatchouang, Anne Laure Wetewale, Jean Claude Tedom, Emmanuel Tekwu Mouafo, Larissa Kamgue Sidze, et al. (2019). Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon. Central African Journal of Public Health, 5(2), 77-82. https://doi.org/10.11648/j.cajph.20190502.13

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ACS Style

Serges Tchatchouang; Anne Laure Wetewale; Jean Claude Tedom; Emmanuel Tekwu Mouafo; Larissa Kamgue Sidze, et al. Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon. Cent. Afr. J. Public Health 2019, 5(2), 77-82. doi: 10.11648/j.cajph.20190502.13

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AMA Style

Serges Tchatchouang, Anne Laure Wetewale, Jean Claude Tedom, Emmanuel Tekwu Mouafo, Larissa Kamgue Sidze, et al. Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon. Cent Afr J Public Health. 2019;5(2):77-82. doi: 10.11648/j.cajph.20190502.13

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@article{10.11648/j.cajph.20190502.13,
  author = {Serges Tchatchouang and Anne Laure Wetewale and Jean Claude Tedom and Emmanuel Tekwu Mouafo and Larissa Kamgue Sidze and Jean Paul Assam-Assam and Veronique Penlap Beng},
  title = {Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon},
  journal = {Central African Journal of Public Health},
  volume = {5},
  number = {2},
  pages = {77-82},
  doi = {10.11648/j.cajph.20190502.13},
  url = {https://doi.org/10.11648/j.cajph.20190502.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20190502.13},
  abstract = {Tuberculosis remains a major health problem and particularly in the Centre Region of Cameroon where prevalence is still high in the city of Yaoundé. Climate has been proved to have impact on tuberculosis distribution. This study aimed at assessing possible association of TB notifications with some meteorological parameters. Daily, weekly, monthly and quaterly aggregates of tuberculosis diagnosis results for consecutive tuberculosis patients tested over one year (April 2010 until March 2011) at Jamot Hospital of Yaoundé were analysed (Microsoft excel and SPSS). A total of 665 tuberculosis patients were enrolled at the Jamot Hospital of Yaoundé during the study period. Weekly mean humidity and temperature were related to tuberculosis cases with respectively Pearson correlation coefficients of 0.291 and -0.342 even though the relation was weak. For the relationship magnitude 8.5% and 11.7% of the variance in tuberculosis cases were explained by weekly mean humidity and temperature respectively. A Poisson regression predicted more tuberculosis cases following weekly increase of humidity, a statistically significant result with p ˂ 0.001. There was 12.1% decrease in the number of tuberculosis cases for each decrease of temperature per week. However, rainfall had no impact on tuberculosis notifications even though most cases were recorded in rainy season while seasonal index changed over time. In short, tuberculosis notifications showed to be associated to two meteorological parameters: mean ambient temperature and relative mean humidity. The highest peak was in the month of June during the rainy season. Data from this work may contribute to the National Tuberculosis Control Program to model tuberculosis variation from recorded tuberculosis notifications since years in order to find an indicator for better intervention strategies for disease control.},
 year = {2019}
}

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TY  - JOUR
T1  - Impact of Meteorological Parameters on Distribution of Pulmonary Tuberculosis in the City of Yaoundé, Centre Region of Cameroon
AU  - Serges Tchatchouang
AU  - Anne Laure Wetewale
AU  - Jean Claude Tedom
AU  - Emmanuel Tekwu Mouafo
AU  - Larissa Kamgue Sidze
AU  - Jean Paul Assam-Assam
AU  - Veronique Penlap Beng
Y1  - 2019/03/11
PY  - 2019
N1  - https://doi.org/10.11648/j.cajph.20190502.13
DO  - 10.11648/j.cajph.20190502.13
T2  - Central African Journal of Public Health
JF  - Central African Journal of Public Health
JO  - Central African Journal of Public Health
SP  - 77
EP  - 82
PB  - Science Publishing Group
SN  - 2575-5781
UR  - https://doi.org/10.11648/j.cajph.20190502.13
AB  - Tuberculosis remains a major health problem and particularly in the Centre Region of Cameroon where prevalence is still high in the city of Yaoundé. Climate has been proved to have impact on tuberculosis distribution. This study aimed at assessing possible association of TB notifications with some meteorological parameters. Daily, weekly, monthly and quaterly aggregates of tuberculosis diagnosis results for consecutive tuberculosis patients tested over one year (April 2010 until March 2011) at Jamot Hospital of Yaoundé were analysed (Microsoft excel and SPSS). A total of 665 tuberculosis patients were enrolled at the Jamot Hospital of Yaoundé during the study period. Weekly mean humidity and temperature were related to tuberculosis cases with respectively Pearson correlation coefficients of 0.291 and -0.342 even though the relation was weak. For the relationship magnitude 8.5% and 11.7% of the variance in tuberculosis cases were explained by weekly mean humidity and temperature respectively. A Poisson regression predicted more tuberculosis cases following weekly increase of humidity, a statistically significant result with p ˂ 0.001. There was 12.1% decrease in the number of tuberculosis cases for each decrease of temperature per week. However, rainfall had no impact on tuberculosis notifications even though most cases were recorded in rainy season while seasonal index changed over time. In short, tuberculosis notifications showed to be associated to two meteorological parameters: mean ambient temperature and relative mean humidity. The highest peak was in the month of June during the rainy season. Data from this work may contribute to the National Tuberculosis Control Program to model tuberculosis variation from recorded tuberculosis notifications since years in order to find an indicator for better intervention strategies for disease control.
VL  - 5
IS  - 2
ER  -

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