Correlation Between Weather and Covid19 Pandemic in Nigeria
CHAPTER ONE
Objective of the study
The objectives of the study are;
- To ascertain the correlation between dry season and COVId19 in Nigeria
- To ascertain the correlation between raining season and COVID19 in Nigeria
- To ascertain the correlation between winter season and COVID19 in Nigeria
CHAPTER TWO
REVIEW OF RELATED LITERATURE
Coronavirus
Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus.
Most people infected with the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment. Older people, and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness.
The best way to prevent and slow down transmission is be well informed about the COVID-19 virus, the disease it causes and how it spreads. Protect yourself and others from infection by washing your hands or using an alcohol based rub frequently and not touching your face.
The COVID-19 virus spreads primarily through droplets of saliva or discharge from the nose when an infected person coughs or sneezes, so it’s important that you also practice respiratory etiquette (for example, by coughing into a flexed elbow).
At this time, there are no specific vaccines or treatments for COVID-19. However, there are many ongoing clinical trials evaluating potential treatments. WHO will continue to provide updated information as soon as clinical findings become available
Concept of Weather
Weather is the state of the atmosphere, describing for example the degree to which it is hot or cold, wet or dry, calm or stormy, clear or cloudy. On Earth, most weather phenomena occur in the lowest layer of the planet’s atmosphere, the troposphere, just below the stratosphere. Weather refers to day-to-day temperature, precipitation, and other atmospheric conditions, whereas climate is the term for the averaging of atmospheric conditions over longer periods of time. When used without qualification, “weather” is generally understood to mean the weather of Earth.
Weather is driven by air pressure, temperature, and moisture differences between one place and another. These differences can occur due to the Sun’s angle at any particular spot, which varies with latitude. The strong temperature contrast between polar and tropical air gives rise to the largest scale atmospheric circulations: the Hadley cell, the Ferrel cell, the polar cell, and the jet stream. Weather systems in the middle latitudes, such as extratropical cyclones, are caused by instabilities of the jet streamflow.
CHAPTER THREE
RESEARCH METHODOLOGY
INTRODUCTION
In this chapter, we described the research procedure for this study. A research methodology is a research process adopted or employed to systematically and scientifically present the results of a study to the research audience viz. a vis, the study beneficiaries.
RESEARCH DESIGN
Research designs are perceived to be an overall strategy adopted by the researcher whereby different components of the study are integrated in a logical manner to effectively address a research problem. In this study, the researcher employed the survey research design. This is due to the nature of the study whereby the opinion and views of people are sampled. According to Singleton & Straits, (2009), Survey research can use quantitative research strategies (e.g., using questionnaires with numerically rated items), qualitative research strategies (e.g., using open-ended questions), or both strategies (i.e., mixed methods). As it is often used to describe and explore human behaviour, surveys are therefore frequently used in social and psychological research.
POPULATION OF THE STUDY
According to Udoyen (2019), a study population is a group of elements or individuals as the case may be, who share similar characteristics. These similar features can include location, gender, age, sex or specific interest. The emphasis on study population is that it constitute of individuals or elements that are homogeneous in description.
This study was carried out on the correlation between weather and COVID19 pandemic in Nigeria. NCDC center in Lagos state form the population of the study.
CHAPTER FOUR
DATA PRESENTATION AND ANALYSIS
INTRODUCTION
This chapter presents the analysis of data derived through the questionnaire and key informant interview administered on the respondents in the study area. The analysis and interpretation were derived from the findings of the study. The data analysis depicts the simple frequency and percentage of the respondents as well as interpretation of the information gathered. A total of eighty (80) questionnaires were administered to respondents of which only seventy-seven (77) were returned and validated. This was due to irregular, incomplete and inappropriate responses to some questionnaire. For this study a total of 77 was validated for the analysis.
TEST OF HYPOHESIS
H0: There is no correlation between dry season and COVId19 in Nigeria
H1: There is correlation between dry season and COVId19 in Nigeria
H0: There is no correlation between raining season and COVID19 in Nigeria
H2: There is correlation between raining season and COVID19 in Nigeria
H0: There is no correlation between winter season and COVID19 in Nigeria
H3: There is correlation between winter season and COVID19 in Nigeria
CHAPTER FIVE
SUMMARY, CONCLUSION AND RECOMMENDATION
Introduction
It is important to ascertain that the objective of this study was to ascertain correlation between weather and COVID19 pandemic in Nigeria. In the preceding chapter, the relevant data collected for this study were presented, critically analyzed and appropriate interpretation given. In this chapter, certain recommendations made which in the opinion of the researcher will be of benefits in addressing the challenge between weather and COVID19 pandemic in Nigeria
Summary
This study was on correlation between weather and COVID19 pandemic in Nigeria. Three objectives were raised which included: To ascertain the correlation between dry season and COVId19 in Nigeria, to ascertain the correlation between raining season and COVID19 in Nigeria and to ascertain the correlation between winter season and COVID19 in Nigeria. A total of 77 responses were received and validated from the enrolled participants where all respondents were drawn from NCDC in Lagos state. Hypothesis was tested using Chi-Square statistical tool (SPSS).
Conclusion
COVID-19 is new and more studies and time will be required to better understand it. This study found out that there is correlation between dry season, raining season and winter and COVID19. Higher temperatures might reduce the disease transmission. The weak relationship between atmospheric temperature and COVID-19 incidence suggests that the disease may exhibit little or no seasonality unlike SARS or influenza, at least in places with similar weather conditions as in this study.
Recommendation
The dynamics of this virus is more likely depend on a wide array of variables, such as population density human mobility patterns, social-distancing policies, testing, public health facilities, imported and local transmission cases, etc., which probably play a larger role than outdoor temperature and humidity. Thus, future research needs more in-depth studies with robust measures of the above-mentioned variables to accurately estimate the role of weather factors.
References
- WHO, “Q&A on coronaviruses (COVID-19),”2020, https://www.who.int/news-room/q-a-detail/q-a-coronaviruses.
- Center for Disease Control and Prevention (CDC), “Symptoms of coronavirus,” 2020, https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html.
- WHO, “Coronavirus disease (COVID-19) pandemic,” 2020, https://www.who.int/emergencies/diseases/novel-coronavirus-2019
- .M. Moriyama, W. J. Hugentobler, and A. Iwasaki, “Seasonality of respiratory viral infections,” Annual Review of Virolog, vol. 7, no. 1, 2020.
- Xu, W. Hu, G. Williams, A. C. A. Clements, H. Kan, and S. Tong, “Air pollution, temperature and pediatric influenza in Brisbane, Australia,” Environment International, vol. 59, pp. 384–388, 2013.
- Tan, L. Mu, J. Huang, S. Yu, B. Chen, and J. Yin, “An initial investigation of the association between the SARS outbreak and weather: with the view of the environmental temperature and its variation,” Journal of Epidemiology & Community Health, vol. 59, no. 3, pp. 186–192, 2005.
- Kuiken, R. A. Fouchier, M. Schutten et al., “Newly discovered coronavirus as the primary cause of severe acute respiratory syndrome,” The Lancet, vol. 362, no. 9380, pp. 263–270, 2003.
- Li, X. Guan, P. Wu et al., “Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia,” New England Journal of Medicine, vol. 382, no. 13, pp. 1199–1207, 2020.
- Wang, A. Jiang, L. Gong et al., “Temperature significant change COVID-19 transmission in 429 cities,” MedRxiv, 2020.
