Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 6 de 6
Filter
1.
Influenza Other Respir Viruses ; 11(4): 311-318, 2017 07.
Article in English | MEDLINE | ID: mdl-28371393

ABSTRACT

BACKGROUND: Estimation of the incidences of influenza and respiratory syncytial virus (RSV) infection is important for disease control. Previous estimate in the city showed a substantial burden of influenza in both outpatients and inpatients while it did not account for individuals who do not seek medical attention nor RSV. PATIENTS/METHODS: A total of 17 674 influenza-like illness (ILI) and 13 242 severe acute respiratory illness (SARI) cases were recruited, and samples were collected from 6267 and 2962 of ILI and SARI cases, respectively. RT-PCR assays were performed to detect influenza and RSV in the samples. A health-seeking behavior survey was conducted from February 2014 to April 2014 to estimate the fraction of infected individuals who did not seek medical attention between rainy and dry season. RESULTS: Average influenza and RSV incidence rates in outpatients were 1.6 and 1.4 per 1000 individuals, respectively, and the highest incidence rate for both viruses was found in the of 6-23 month age group. Average influenza and RSV hospitalization incidence rates were 1.7 and 1.9 per 1000 individuals, respectively. Further, we estimated that the incidence rates of influenza and RSV in individuals who did not seek medical attention were threefold and 1.6-fold those in the medically attended population. CONCLUSIONS: Respiratory syncytial virus and influenza pose a substantial disease burden, particularly in hospitalized cases. The implementation of either a community-based approach or an enhanced surveillance system in combination with a community survey will allow a better understanding of the disease burdens of RSV and influenza in the Philippines.


Subject(s)
Influenza, Human/epidemiology , Respiratory Syncytial Virus Infections/epidemiology , Hospitalization , Humans , Incidence , Influenza A virus/genetics , Influenza A virus/physiology , Influenza, Human/therapy , Influenza, Human/virology , Models, Statistical , Philippines/epidemiology , Respiratory Syncytial Virus Infections/therapy , Respiratory Syncytial Virus Infections/virology , Respiratory Syncytial Virus, Human/physiology
2.
PLoS One ; 11(12): e0167712, 2016.
Article in English | MEDLINE | ID: mdl-28002419

ABSTRACT

INTRODUCTION: The seasonality of influenza and respiratory syncytial virus (RSV) is well known, and many analyses have been conducted in temperate countries; however, this is still not well understood in tropical countries. Previous studies suggest that climate factors are involved in the seasonality of these viruses. However, the extent of the effect of each climate variable is yet to be defined. MATERIALS AND METHODS: We investigated the pattern of seasonality and the effect of climate variables on influenza and RSV at three sites of different latitudes: the Eastern Visayas region and Baguio City in the Philippines, and Okinawa Prefecture in Japan. Wavelet analysis and the dynamic linear regression model were applied. Climate variables used in the analysis included mean temperature, relative and specific humidity, precipitation, and number of rainy days. The Akaike Information Criterion estimated in each model was used to test the improvement of fit in comparison with the baseline model. RESULTS: At all three study sites, annual seasonal peaks were observed in influenza A and RSV; peaks were unclear for influenza B. Ranges of climate variables at the two Philippine sites were narrower and mean variables were significantly different among the three sites. Whereas all climate variables except the number of rainy days improved model fit to the local trend model, their contributions were modest. Mean temperature and specific humidity were positively associated with influenza and RSV at the Philippine sites and negatively associated with influenza A in Okinawa. Precipitation also improved model fit for influenza and RSV at both Philippine sites, except for the influenza A model in the Eastern Visayas. CONCLUSIONS: Annual seasonal peaks were observed for influenza A and RSV but were less clear for influenza B at all three study sites. Including additional data from subsequent more years would help to ascertain these findings. Annual amplitude and variation in climate variables are more important than their absolute values for determining their effect on the seasonality of influenza and RSV.


Subject(s)
Influenza, Human/epidemiology , Respiratory Syncytial Virus Infections/epidemiology , Tropical Climate , Humans , Humidity , Japan/epidemiology , Linear Models , Philippines/epidemiology , Rain , Risk Factors , Seasons , Temperature , Wavelet Analysis
3.
BMC Infect Dis ; 16(1): 762, 2016 12 19.
Article in English | MEDLINE | ID: mdl-27993136

ABSTRACT

BACKGROUND: The results of routine influenza surveillance in 13 regions in the Philippines from 2006 to 2012 are presented, describing the annual seasonal epidemics of confirmed influenza virus infection, seasonal and alert thresholds, epidemic curve, and circulating influenza strains. METHODS: Retrospective analysis of Philippine influenza surveillance data from 2006 to 2012 was conducted to determine seasonality with the use of weekly influenza positivity rates and calculating epidemic curves and seasonal and alert thresholds using the World Health Organization (WHO) global epidemiological surveillance standards for influenza. RESULTS: Increased weekly influenza positive rates were observed from June to November, coinciding with the rainy season and school opening. Two or more peaks of influenza activity were observed with different dominant influenza types associated with each peak. A-H1N1, A-H3N2, and two types of B viruses circulated during the influenza season in varying proportions every year. Increased influenza activity for 2012 occurred 8 weeks late in week 29, rather than the expected week of rise of cases in week 21 as depicted in the established average epidemic curve and seasonal threshold. The intensity was severe going above the alert threshold but of short duration. Southern Hemisphere vaccine strains matched circulating influenza virus for more surveillance years than Northern Hemisphere vaccine strains. CONCLUSIONS: Influenza seasonality in the Philippines is from June to November. The ideal time to administer Southern Hemisphere influenza vaccine should be from April to May. With two lineages of influenza B circulating annually, quadrivalent vaccine might have more impact on influenza control than trivalent vaccine. Establishment of thresholds and average epidemic curve provide a tool for policy-makers to assess the intensity or severity of the current influenza epidemic even early in its course, to help plan more precisely resources necessary to control the outbreak. Influenza surveillance activities should be continued in the Philippines and funding for such activities should already be incorporated into the Philippine health budget.


Subject(s)
Influenza, Human/epidemiology , Influenza, Human/virology , Adolescent , Adult , Child , Child, Preschool , Disease Outbreaks/prevention & control , Epidemics , Humans , Infant , Influenza A Virus, H1N1 Subtype/pathogenicity , Influenza A Virus, H3N2 Subtype/pathogenicity , Influenza Vaccines/administration & dosage , Influenza Vaccines/therapeutic use , Influenza, Human/prevention & control , Middle Aged , Philippines/epidemiology , Population Surveillance/methods , Retrospective Studies , Schools , Seasons , Time Factors , Young Adult
4.
Tob Control ; 24(3): 263-8, 2015 May.
Article in English | MEDLINE | ID: mdl-24401569

ABSTRACT

BACKGROUND: In the Philippines, smoking is highly prevalent and tobacco control policies fail to fully implement the WHO Framework Convention on Tobacco Control provisions. To aid in policy change, intervention implementation, monitoring and evaluation, this study aimed to provide the first internally consistent and latest Philippine estimates of the following: disability-adjusted life-years (DALYs) lost due to lung cancer; population-attributable fractions (PAFs) of smoking; and smoking-attributable lung cancer DALYs. METHODS: This study applied the Global Burden of Disease and Comparative Risk Assessment frameworks to secondary data, supplemented by expert opinion. A comprehensive internally consistent assessment of disease epidemiology was conducted using DISMOD II and disease impact was quantified as DALYs. PAFs were calculated using the smoking impact ratio and Monte Carlo uncertainty analyses were conducted. RESULTS: For 2008, lung cancer incidence and mortality estimates were 10 871 cases and 9871 deaths respectively. Lung cancer accounted for an estimated 267 787 DALYs lost, 99% of which were due to years of life lost. Overall, the PAF of smoking was 65% and a total of 173 103 DALYs were smoking-attributable. There were increasing trends in incidence, mortality and DALY rates with age. The majority of incidence (72%), mortality (71%) and disease burden (72%) occurred among men, who also had higher PAF estimates. CONCLUSIONS: Considerable health gains could be achieved if smoking exposure were reduced in the Philippines. Strong enforcement of measures like increasing taxation to the WHO-endorsed rate, expanding smoke-free environments, and requiring large graphic warnings within a comprehensive tobacco control programme is recommended.


Subject(s)
Lung Neoplasms/chemically induced , Lung Neoplasms/epidemiology , Smoking/adverse effects , Age Distribution , Age Factors , Cost of Illness , Female , Humans , Incidence , Lung Neoplasms/mortality , Male , Philippines/epidemiology , Quality-Adjusted Life Years , Risk Assessment , Sex Factors
5.
Influenza Other Respir Viruses ; 8(2): 159-68, 2014 Mar.
Article in English | MEDLINE | ID: mdl-24393336

ABSTRACT

OBJECTIVES: Although the public health significance of influenza in regions with a temperate climate has been widely recognized, information on influenza burden in tropical countries, including the Philippines, remains limited. We aimed to estimate influenza incidence rates for both outpatients and inpatients then characterized their demographic features. DESIGN: An enhanced surveillance was performed from January 2009 to December 2011 in an urbanized highland city. The influenza-like illness (ILI) surveillance involved all city health centers and an outpatient department of a tertiary government hospital. The severe acute respiratory infection (sARI) surveillance was also conducted with one government and four private hospitals since April 2009. Nasal and/or oropharyngeal swabs were collected and tested for influenza A, influenza B, and respiratory syncytial virus. RESULTS AND CONCLUSIONS: We obtained 5915 specimens from 13 002 ILI cases and 2656 specimens from 10 726 sARI cases throughout the study period. We observed year-round influenza activity with two possible peaks each year. The overall influenza detection rate was 23% in the ILI surveillance and 9% in the sARI surveillance. The mean annual outpatient incidence rate of influenza was 5·4 per 1000 individuals [95% confidence interval (CI), 1·83-12·7], and the mean annual incidence of influenza-associated sARI was 1·0 per 1000 individuals (95% CI, 0·03-5·57). The highest incidence rates were observed among children aged <5 years, particularly those aged 6-23 months. Influenza posed a certain disease burden among inpatients and outpatients, particularly children aged <5 years, in an urbanized tropical city of the Philippines.


Subject(s)
Influenza A virus/isolation & purification , Influenza B virus/isolation & purification , Influenza, Human/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Female , Humans , Incidence , Infant , Inpatients , Male , Middle Aged , Nasal Mucosa/virology , Oropharynx/virology , Outpatients , Philippines/epidemiology , Tropical Climate , Urban Population , Young Adult
6.
PLoS One ; 8(11): e79916, 2013.
Article in English | MEDLINE | ID: mdl-24244578

ABSTRACT

BACKGROUND: Baguio City, Philippines experienced its first influenza A(H1N1)pdm09 [A(H1)pdm09] case in May 2009. In spite of numerous reports describing the epidemiological and clinical features of A(H1)pdm09 cases, there are no studies about A(H1)pdm09 epidemiology in the Philippines, where year-round influenza activity was observed. OBJECTIVES: We aimed to investigate the epidemiological and clinical features of A(H1)pdm09 in pandemic and post-pandemic periods. METHODS: Data were collected under enhanced surveillance of influenza-like illness (ILI) and severe acute respiratory infection (SARI) from January 2009 to December 2010. RT-PCR was used to detect A(H1)pdm09, following the protocol of the United States Centers for Disease Control and Prevention. The reproduction number was computed as a simple exponential growth rate. Differences in proportional and categorical data were examined using chi-square test or Fishers' exact test. RESULTS AND CONCLUSIONS: The outbreak was observed from week 25 to 35 in 2009 and from week 24 to 37 in 2010. The highest proportion of cases was among children aged 5-14 years. The number of ILI outpatients was 2.3-fold higher in 2009 than in 2010, while the number of inpatients was 1.8-fold higher in 2009. No significant difference in gender was observed during the two periods. The clinical condition of all patients was generally mild and self-limiting, with only 2 mortalities among inpatients in 2009. The basic reproduction number was estimated as 1.16 in 2009 and 1.05 in 2010 in the assumption of mean generation time as 2.6 days. School children played a significant role in facilitating influenza transmission.


Subject(s)
Disease Outbreaks , Influenza A Virus, H1N1 Subtype/physiology , Influenza, Human/epidemiology , Acute Disease , Adolescent , Adult , Age Distribution , Child , Child, Preschool , Epidemiological Monitoring , Female , Hospitalization/statistics & numerical data , Humans , Infant , Influenza A Virus, H1N1 Subtype/pathogenicity , Influenza, Human/physiopathology , Influenza, Human/transmission , Influenza, Human/virology , Inpatients/statistics & numerical data , Male , Middle Aged , Outpatients/statistics & numerical data , Philippines/epidemiology
SELECTION OF CITATIONS
SEARCH DETAIL
...