<?xml version="1.0"?>
<Articles JournalTitle="Journal of Biostatistics and Epidemiology">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Journal of Biostatistics and Epidemiology</JournalTitle>
      <Issn>2383-4196</Issn>
      <Volume>7</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="epublish">
        <Year>2021</Year>
        <Month>05</Month>
        <Day>15</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Modelling the Number of Household Visit to Health Care Centres in Some Nigeria  Communities Using Count Data Regression Models</title>
    <FirstPage>36</FirstPage>
    <LastPage>47</LastPage>
    <AuthorList>
      <Author>
        <FirstName>Samuel</FirstName>
        <LastName>Adams</LastName>
        <affiliation locale="en_US">Department of Statistics, University of Abuja, Abuja, Nigeria</affiliation>
      </Author>
      <Author>
        <FirstName>Davies</FirstName>
        <LastName>Obaromi</LastName>
        <affiliation locale="en_US">Department of Statistics, Confluence University of Science and Technology, Lokoja, Kogi State, Nigeria</affiliation>
      </Author>
      <Author>
        <FirstName>Rauf</FirstName>
        <LastName>Rauf</LastName>
        <affiliation locale="en_US">Department of Statistics, University of Abuja, Abuja, Nigeria.</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2021</Year>
        <Month>01</Month>
        <Day>31</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2021</Year>
        <Month>04</Month>
        <Day>04</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">Introduction: The need to model the impact of some demographic indicators on the frequency of&#xA0;household visits to healthcare centres in Nigeria's community is very important for preventing and&#xA0;spreading community diseases. This study aimed to investigate the effect of the patents' age, gender, marital&#xA0;status, type of illness and amount spent on the frequency of visits to community health care centres in&#xA0;Nigeria and to compared Negative Binomial Regression (NBR) and Generalized Poisson Regression&#xA0;GPR) models to determine the preferred count regression model for the number of household visits to&#xA0;health centres in some communities in Nigeria.&#xA0;
&#xD;

Methods: Survey of 132640 households in some Nigeria communities obtained from the 2018/2019&#xA0;Nigeria Living Standard Survey (NLSS) were extracted from the National Bureau of Statistics (NBS) in&#xA0;collaboration with the World Bank. The Negative Binomial and Generalised Poisson regression models&#xA0;were used to investigate the five demographic variables on the frequency of visit to the community health&#xA0;centres. The performance of the count regression model was assessed using the Chi-square -2log&#xA0;Likelihood Statistic (2logL), Akaike Information Criterion (AIC) and Bayesian Information Criterion&#xA0;BIC) selection criteria.&#xA0;
&#xD;

Results: Findings from the study showed that the type of illness and amount spent has a significantly&#xA0;positive effect on the number of household members' visits to the community health care centres in Nigeria&#xA0;while age, gender, and marital status was discovered to have a negative effect on the number of household&#xA0;members' visits to the community health care centres in Nigeria.&#xA0;
&#xD;

Conclusion: The Nigeria Government, health centre management and community healthcare service&#xA0;providers' need to be aware that the amount spent and the nature of illness determines the level of health&#xA0;care services utilisation in the Nigeria community, hence the need for the drastic reduction in charges to&#xA0;encourage a household visit to the community health centres whenever the need arises.</abstract>
    <web_url>https://jbe.tums.ac.ir/index.php/jbe/article/view/435</web_url>
  </Article>
</Articles>
