Climate factors and dengue fever occurrence in Makassar during period of 2011–2017
Andi Susilawaty, Ranti Ekasari, Lilis Widiastuty, Dian Rezki Wijaya, Zilfadhilah Arranury, Syahrul Basri
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Universitas Islam Negeri Alauddin, Makassar 90221, Indonesia
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Russeng, Lalu Muhammad Saleh, Anwar Mallongi, Chin Hoy" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Syamsiar S." "apellidos" => "Russeng" ] 1 => array:2 [ "nombre" => "Lalu Muhammad" "apellidos" => "Saleh" ] 2 => array:2 [ "nombre" => "Anwar" "apellidos" => "Mallongi" ] 3 => array:2 [ "nombre" => "Chin" "apellidos" => "Hoy" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0213911121002569?idApp=WGSE" "url" => "/02139111/00000035000000S2/v1_202112201615/S0213911121002569/v1_202112201615/en/main.assets" ] "en" => array:19 [ "idiomaDefecto" => true "titulo" => "Climate factors and dengue fever occurrence in Makassar during period of 2011–2017" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "S408" "paginaFinal" => "S412" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Andi Susilawaty, Ranti Ekasari, Lilis Widiastuty, Dian Rezki Wijaya, Zilfadhilah Arranury, Syahrul Basri" "autores" => array:6 [ 0 => array:2 [ "nombre" => "Andi" "apellidos" => "Susilawaty" ] 1 => array:2 [ "nombre" => "Ranti" "apellidos" => "Ekasari" ] 2 => array:2 [ "nombre" => "Lilis" "apellidos" => "Widiastuty" ] 3 => array:2 [ "nombre" => "Dian Rezki" "apellidos" => "Wijaya" ] 4 => array:2 [ "nombre" => "Zilfadhilah" "apellidos" => "Arranury" ] 5 => array:4 [ "nombre" => "Syahrul" "apellidos" => "Basri" "email" => array:2 [ 0 => "syahrul.basri@uin-alauddin.ac.id" 1 => "pmc@agri.unhas.ac.id" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Universitas Islam Negeri Alauddin, Makassar 90221, Indonesia" "identificador" => "aff0005" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0025" "etiqueta" => "Fig. 5" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr5.jpeg" "Alto" => 1377 "Ancho" => 2508 "Tamanyo" => 306001 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Correlation between wind speed and dengue fever cases in Makassar 2011–2017. <span class="elsevierStyleBold">Source:</span> Meteorological, Climatological, and Geophysical Agency of Makassar and Health Office of Makassar.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Dengue fever is a vector-borne disease that has grown dramatically in incidence rates around the world in recent years. The agent of dengue fever is a dengue virus. Dengue transmission has heightened significantly in most tropical countries.<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">1</span></a> In 2017, the number of dengue cases in Indonesia was 68,407. While South Sulawesi was on the thirteenth province with a high number of dengue cases.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">A mosquito as a vector of disease is extremely sensitive to its surroundings specifically climate conditions.<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">3</span></a> An epidemic of dengue occurs during the humid, warm, and rainy period, which supports the growth of mosquito and diminish the extrinsic incubation period.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">4</span></a> According to The Health District Office (2004), The dengue fever vector will survive in temperature 28–32<span class="elsevierStyleHsp" style=""></span>°C. Besides temperature, humidity also will determine the mosquito life through the determination of the durability of the trachea into respiratory mosquitoes.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">5</span></a> Therefore, the study about climate factors linked to dengue fever was conducted to know the relationship of both variables.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Methods</span><p id="par0015" class="elsevierStylePara elsevierViewall">This study was located in Makassar because dengue fever was still being a problem with a fluctuating number of cases. This study was quantitative with a descriptive analysis using ecological design study of climate factors and dengue fever. The climate factors variable were temperature, humidity, rainfall, and wind speed as independent variables. While dengue fever cases became dependent variables. This study used secondary data. The monthly cases were obtained from the Health Office of Makassar. Besides, monthly temperature, humidity, rainfall, and wind speed were gained from Meteorological, Climatological, and Geophysical Agency of Makassar.</p><p id="par0020" class="elsevierStylePara elsevierViewall">Data analyzed using univariate and bivariate analysis by statistical data application. Data were analyzed by Generalized Estimating Equation (GEE) for multivariate analysis to determine the relationship between dengue cases and climate variables. It was used because this study was in longitudinal research. The longitudinal study was comprised of repeated or continuous measures to follow cases over a long period in years or decades.<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">6</span></a></p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Result</span><p id="par0025" class="elsevierStylePara elsevierViewall">The number of cases in Makassar from 2011 to 2017 showed diverse models. The highest cases in 2011–2012 were in January and February. The description of dengue fever disease was depicted in <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>. Meanwhile, the lowest number of cases in every year almost showed the same models, it happened from October until December.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0030" class="elsevierStylePara elsevierViewall">According to descriptive analysis (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>), the average number of cases was 13 cases. The lowest was two cases and the highest was 62 cases. Whereas, the average temperature in Makassar in 2011–2017 was 27.87<span class="elsevierStyleHsp" style=""></span>°C. The lowest temperature was 26.6<span class="elsevierStyleHsp" style=""></span>°C and the highest temperature was 29.4<span class="elsevierStyleHsp" style=""></span>°C. While the average humidity was 80.01% RH with 66.77%RH as the lowest humidity and 89.60 as the highest one.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0035" class="elsevierStylePara elsevierViewall">Besides temperature and humidity, there was rainfall and wind speed that was analyzed. The average rainfall in Makassar from 2011 to 2017 was 13.89<span class="elsevierStyleHsp" style=""></span>mm with 0<span class="elsevierStyleHsp" style=""></span>mm as the lowest rainfall and 43.4<span class="elsevierStyleHsp" style=""></span>mm as the highest one. For the wind speed, the minimum speed was 1.35<span class="elsevierStyleHsp" style=""></span>km/h and the maximum was 3.63<span class="elsevierStyleHsp" style=""></span>km/h with 2.24<span class="elsevierStyleHsp" style=""></span>km/h as the average speed.</p><p id="par0040" class="elsevierStylePara elsevierViewall">The temperature in Makassar 2011–2017 was fluctuating every month in a year. The highest case was in 27.34<span class="elsevierStyleHsp" style=""></span>°C in July 2013 and the lowest cases happened in three same times that were in October 2012 (29.1<span class="elsevierStyleHsp" style=""></span>°C), December 2012 (28<span class="elsevierStyleHsp" style=""></span>°C), and December 2016 (27.5<span class="elsevierStyleHsp" style=""></span>°C) (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>).</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0045" class="elsevierStylePara elsevierViewall">Humidity was one of the climate factors that was examined in this study. Humidity in Makassar was fluctuating but not in the wide range. The highest case was in 75.94% RH in July 2013. While, the lowest cases were in 74%RH (October 2012), 82.2%RH (December 2012), and 85.9%RH (December 2016) (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>).</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0050" class="elsevierStylePara elsevierViewall">Besides temperature and humidity, rainfall was also the cause of the rising number of dengue cases. Rainfall in Makassar from 2011 to 2017 was in the medium category. The highest dengue fever case was in 1<span class="elsevierStyleHsp" style=""></span>mm in July 2013 and the lowest cases were in 3.2<span class="elsevierStyleHsp" style=""></span>mm (October 2011), 20.2<span class="elsevierStyleHsp" style=""></span>mm (December 2011), and 23.3<span class="elsevierStyleHsp" style=""></span>mm (December 2016) (<a class="elsevierStyleCrossRef" href="#fig0020">Fig. 4</a>).</p><elsevierMultimedia ident="fig0020"></elsevierMultimedia><p id="par0055" class="elsevierStylePara elsevierViewall">Wind speed can influence the distribution of dengue vector which was <span class="elsevierStyleItalic">Aedes aegypti</span>. The highest dengue case was in 2.16<span class="elsevierStyleHsp" style=""></span>km/h in July 2013. While the lowest cases were 2.61<span class="elsevierStyleHsp" style=""></span>km/h (October 2013), 2.84<span class="elsevierStyleHsp" style=""></span>km/h (December 2013), and 3.5<span class="elsevierStyleHsp" style=""></span>km/h (December 2016) (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5</a>).</p><elsevierMultimedia ident="fig0025"></elsevierMultimedia><p id="par0060" class="elsevierStylePara elsevierViewall">The result of the correlation between temperature, rainfall, humidity, and wind speed showed a significant correlation to dengue fever cases as long as 2011–2017 in Makassar. Generalized estimating equation (GEE) resulted that all climate factors had a significant correlation to dengue fever cases (<span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05). Although the temperature had <span class="elsevierStyleItalic">p</span>-value >0.05, substantially, the temperature had a significant correlation to dengue fever cases. Besides the value of probability number was higher than the chi-square value with 0.0001 (significant).</p><p id="par0065" class="elsevierStylePara elsevierViewall">One climate variable had a positive correlation with the cases which were humidity variables. While temperature, rainfall, and wind speed had negative correlations. The dominant factor was the humidity. GEE analysis showed a model of the correlation between climate factors and cases. But the model was only fit if the value of temperature was 26.6–29.4<span class="elsevierStyleHsp" style=""></span>°C humidity was 66.7667%RH–89.6%RH; rainfall was 0–43.4<span class="elsevierStyleHsp" style=""></span>mm; wind speed was 1.35–3.62069<span class="elsevierStyleHsp" style=""></span>km/h. The information about test result was served in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>.<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><p id="par0070" class="elsevierStylePara elsevierViewall">Dengue fever cases<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>17.20698<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>1.331466<span class="elsevierStyleHsp" style=""></span>*<span class="elsevierStyleHsp" style=""></span>Humidity<span class="elsevierStyleHsp" style=""></span>−<span class="elsevierStyleHsp" style=""></span>0.51912563<span class="elsevierStyleHsp" style=""></span>*<span class="elsevierStyleHsp" style=""></span>Rainfall<span class="elsevierStyleHsp" style=""></span>−<span class="elsevierStyleHsp" style=""></span>3.027779<span class="elsevierStyleHsp" style=""></span>*<span class="elsevierStyleHsp" style=""></span>Temperature<span class="elsevierStyleHsp" style=""></span>−<span class="elsevierStyleHsp" style=""></span>8.493344<span class="elsevierStyleHsp" style=""></span>*<span class="elsevierStyleHsp" style=""></span>Wind Speed.</p></li></ul></p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Discussion</span><p id="par0075" class="elsevierStylePara elsevierViewall">Dengue fever is fast-spreading vector-borne diseases. Dengue cases increase distinctly possible throughout rainy time and became WHO alerts.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">7</span></a> It was following the result of this study that mostly, the highest cases every year from 2011 to 2017 happened in January and February. Since January and February was a rainy season. While the lowest cases happened from October–December since October and November were the dry seasons.</p><p id="par0080" class="elsevierStylePara elsevierViewall">Several studies also had a significant correlation of several climate variables to dengue cases. Colón-González et al.<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">8</span></a> stated that weather which was temperature significantly influenced dengue case incidence in Mexico. As mentioned, the temperature had a remarkable correlation to dengue fever cases.<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">9</span></a> The study from Tuladhar et al. (2019) identified that temperature became a potential contributor to the prevalence of dengue in Nepal. The conducive temperature for vector survival was between 23 and 25<span class="elsevierStyleHsp" style=""></span>°C.<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">10</span></a> Similar to the study from Lai<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">11</span></a> that also found that temperature was remarkably related to the incidence of dengue. The increase in temperature was followed by the increase of cases transmission rate. The correlation between temperature and dengue cases was negative. Temperature influenced the increasing number of cases when the average temperature decreased, the number of reported cases increased.<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">12</span></a></p><p id="par0085" class="elsevierStylePara elsevierViewall">The humidity had a strong correlation compared to others. It was following the previous study that stated that humidity was determinants in dengue fever incidence and outbreak.<a class="elsevierStyleCrossRefs" href="#bib0200"><span class="elsevierStyleSup">13,14</span></a> Humidity was also has a stable impact on dengue cases than temperature as the time when it was considered the virological matters.<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">15</span></a> Furthermore, relative humidity may be a factor that decisively affects the egg development and adult population number of <span class="elsevierStyleItalic">A. aegypti</span> that may itself be associated with vectorial capacity.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">16</span></a></p><p id="par0090" class="elsevierStylePara elsevierViewall">The main variable that influences to dengue cases incidence is rainfall. As mentioned in the study of Goto et al.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">17</span></a> the rainfall variable was slightly influenced dengue fever cases in Colombo and Anuradhapura. Similar to Chien and Yu<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">18</span></a> that found rainfall was the most remarkable factor with the cases in South Taiwan.</p><p id="par0095" class="elsevierStylePara elsevierViewall">The study that was conducted by Santos et al. (2019) showed that the 90 days rainfall showed the most significant correlation with the cases.<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">19</span></a> This study showed that December became the time that the cases decrease. Even though, December is the rainy season. Negative line was also shown in the correlation of both rainfall and cases.</p><p id="par0100" class="elsevierStylePara elsevierViewall">But, another previous study provided information that the highest cases of dengue were on April, while April is the transition of the rainy to dry season.<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">20</span></a> It happened because rainfall could cause the rising of the transmission of <span class="elsevierStyleItalic">A. aegypti</span> by providing or even eliminating the breeding site through flooding the vector.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">21</span></a> The spreading of the vector also happened in the dry season when water storage containers were still available.<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">22</span></a> Heavy rainfall produced many outdoor breeding sources for <span class="elsevierStyleItalic">Aedes</span>, but dry caused an increase in water storage containers which can become the breeding habitats.<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">23</span></a></p><p id="par0105" class="elsevierStylePara elsevierViewall">Wind speed variable in this research also had a significant correlation to dengue fever cases. It was in line with the research from Nashuha (2018) that wind speed influenced the impact of dengue transmission, especially in high population density in the State of Perak.<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">24</span></a> Although this study showed a significant correlation, the wind speed had a negative correlation to dengue fever cases. The study that was conducted by Cheong et al.<a class="elsevierStyleCrossRef" href="#bib1010"><span class="elsevierStyleSup">25</span></a> was also found a negative correlation between wind speed and the cases. Wind speed variable represented a distinct correlation with dengue cases, from the general negative correlation in Barbados as well.<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">26</span></a> Strong winds can reduce mosquito density so, the mosquito will be difficult to find a host.<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">27</span></a></p><p id="par0110" class="elsevierStylePara elsevierViewall">Beyond the result of this study, it still has a limitation. The limitation of this study included the lack of range cases and climate data. While to get a better result, a study should be held for ten years of the period.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Conclusion</span><p id="par0115" class="elsevierStylePara elsevierViewall">In conclusion, the dengue fever cases in Makassar over the past seven years tend to vary according to the season. All climate variables (humidity, rainfall, temperature and wind speed) in this study had a significant correlation to dengue fever cases in Makassar. While humidity took a dominant correlation to dengue fever cases compared to other climate factors. Some preventive measures to deal with were dengue fever must be introduced to the local communities, so their knowledge about the transmission and elimination of dengue fever can increase. Health officers can also help disseminate knowledge by providing information about vector control, especially in the rainy season. Thus, the transmission of dengue fever through mosquitoes can be reduced.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Ethical considerations</span><p id="par0120" class="elsevierStylePara elsevierViewall">The ethical clearance was recognized by the ethical committee from KEPK FKIK Universitas Islam Negeri Alauddin Makassar which registered in number A.055/KEPK/FKIK/I/2019.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Conflict of interest</span><p id="par0125" class="elsevierStylePara elsevierViewall">This research had no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres1632510" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1456662" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 3 => array:2 [ "identificador" => "sec0010" "titulo" => "Methods" ] 4 => array:2 [ "identificador" => "sec0015" "titulo" => "Result" ] 5 => array:2 [ "identificador" => "sec0020" "titulo" => "Discussion" ] 6 => array:2 [ "identificador" => "sec0025" "titulo" => "Conclusion" ] 7 => array:2 [ "identificador" => "sec0030" "titulo" => "Ethical considerations" ] 8 => array:2 [ "identificador" => "sec0035" "titulo" => "Conflict of interest" ] 9 => array:2 [ "identificador" => "xack576328" "titulo" => "Acknowledgments" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2021-06-28" "fechaAceptado" => "2021-07-30" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1456662" "palabras" => array:5 [ 0 => "Dengue" 1 => "Humidity" 2 => "Rainfall" 3 => "Temperature" 4 => "Wind speed" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Dengue fever is a global burden because of high cases number. Climate factors became determinant of the mosquito's growth. This study aimed to analyze the relationship between climate factors (humidity, temperature, wind speed, rainfall) and dengue cases in Makassar during 2011–2017.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">It was quantitative study located in Makassar. Data were analyzed by General Estimating Equation (GEE). Gee was used to showing the model of variables. This study used secondary data from Health District Office of Makassar to get Dengue Cases Data and Meteorological, Climatological, and Geophysical Agency of Makassar for monthly climate data.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The result showed significant correlation between climate variables that have been researched which were temperature, humidity, rainfall, and wind speed to dengue fever cases.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">As conclusion, the humidity had strongest correlation to dengue fever cases. It also showed positive correlation, while others showed negative correlation.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Peer-review under responsibility of the scientific committee of the 3rd International Nursing, Health Science Students & Health Care Professionals Conference. Full-text and the content of it is under responsibility of authors of the article.</p>" ] ] "multimedia" => array:7 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1296 "Ancho" => 2508 "Tamanyo" => 236851 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Dengue fever cases in Makassar 2011–2017. <span class="elsevierStyleBold">Source:</span> Health Office of Makassar.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1146 "Ancho" => 2508 "Tamanyo" => 297242 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Correlation between temperature and cases in Makassar 2011–2017. <span class="elsevierStyleBold">Source:</span> Meteorological, Climatological, and Geophysical Agency of Makassar and Health Office of Makassar.</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1074 "Ancho" => 2508 "Tamanyo" => 267300 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Correlation between humidity and cases in Makassar 2011–2017. <span class="elsevierStyleBold">Source:</span> Meteorological, Climatological, and Geophysical Agency of Makassar and Health Office of Makassar.</p>" ] ] 3 => array:7 [ "identificador" => "fig0020" "etiqueta" => "Fig. 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 1045 "Ancho" => 2508 "Tamanyo" => 283393 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Correlation between rainfall variable and cases in Makassar 2011–2017. <span class="elsevierStyleBold">Source:</span> Meteorological, Climatological, and Geophysical Agency of Makassar and Health Office of Makassar.</p>" ] ] 4 => array:7 [ "identificador" => "fig0025" "etiqueta" => "Fig. 5" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr5.jpeg" "Alto" => 1377 "Ancho" => 2508 "Tamanyo" => 306001 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Correlation between wind speed and dengue fever cases in Makassar 2011–2017. <span class="elsevierStyleBold">Source:</span> Meteorological, Climatological, and Geophysical Agency of Makassar and Health Office of Makassar.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Mean \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Standard error \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Standard deviation \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Min–Max \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Dengue fever cases \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.32 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2–62 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Temperature \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.87 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.07 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.6–29.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Humidity \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">80.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.27 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">66.77–89.60 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Rainfall \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.89 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10.96 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0–43.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Wind speed \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.24 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.43 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.35–3.62 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2781844.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Descriptive distribution of cases and climate factors in Makassar 2011–2017.</p>" ] ] 6 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Note: Prob<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>chi2<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.00001.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Coefficient \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Standard error \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">95% confidence interval (CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Temperature \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−3.027779 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.71 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.076 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−6.37–0.31 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Humidity \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.331466 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.266 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.81–1.85 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Rainfall \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.5191256 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.156 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0–0.821–(−0.21) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Wind speed \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−8.493344 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.55 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−13.50–(−3.48) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Constant \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.20698 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">56.86 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.762 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−94.24–128.66 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2781843.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">The correlation of climate variables and dengue cases in Makassar 2011–2017 via generalized estimating equation (GEE).</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:27 [ 0 => array:3 [ "identificador" => "bib0140" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Dengue and dengue hemorrhagic fever information for health care practitioners" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "CDC" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:2 [ "fecha" => "2009" "editorial" => "Puerto Rico" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0145" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Dengue fever situation in Indonesia 2017" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "Health Ministry of Indonesia" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:3 [ "fecha" => "2018" "editorial" => "Data and Information Centre, Health Ministry" "editorialLocalizacion" => "Indonesia" ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0150" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Global scale-relationship between climate and the dengue fever vector, <span class="elsevierStyleItalic">Aedes aegypti</span>" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "M.J. 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| año/Mes | Html | Total | |
|---|---|---|---|
| 2024 Noviembre | 3 | 1 | 4 |
| 2024 Octubre | 59 | 41 | 100 |
| 2024 Septiembre | 41 | 29 | 70 |
| 2024 Agosto | 60 | 27 | 87 |
| 2024 Julio | 45 | 22 | 67 |
| 2024 Junio | 47 | 25 | 72 |
| 2024 Mayo | 51 | 35 | 86 |
| 2024 Abril | 54 | 19 | 73 |
| 2024 Marzo | 53 | 24 | 77 |
| 2024 Febrero | 48 | 31 | 79 |
| 2024 Enero | 47 | 32 | 79 |
| 2023 Diciembre | 31 | 23 | 54 |
| 2023 Noviembre | 42 | 38 | 80 |
| 2023 Octubre | 41 | 32 | 73 |
| 2023 Septiembre | 28 | 21 | 49 |
| 2023 Agosto | 26 | 12 | 38 |
| 2023 Julio | 56 | 20 | 76 |
| 2023 Junio | 34 | 20 | 54 |
| 2023 Mayo | 47 | 15 | 62 |
| 2023 Abril | 26 | 20 | 46 |
| 2023 Marzo | 37 | 39 | 76 |
| 2023 Febrero | 39 | 23 | 62 |
| 2023 Enero | 33 | 25 | 58 |
| 2022 Diciembre | 41 | 43 | 84 |
| 2022 Noviembre | 44 | 58 | 102 |
| 2022 Octubre | 46 | 49 | 95 |
| 2022 Septiembre | 31 | 38 | 69 |
| 2022 Agosto | 33 | 79 | 112 |
| 2022 Julio | 43 | 59 | 102 |
| 2022 Junio | 67 | 45 | 112 |
| 2022 Mayo | 41 | 59 | 100 |
| 2022 Abril | 49 | 52 | 101 |
| 2022 Marzo | 52 | 59 | 111 |
| 2022 Febrero | 41 | 66 | 107 |
| 2022 Enero | 44 | 69 | 113 |
| 2021 Diciembre | 9 | 15 | 24 |
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