Displaying publications 41 - 60 of 2201 in total

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  1. Kanagarayer K
    Matched MeSH terms: China/ethnology
  2. Harrower JG
    Matched MeSH terms: China/ethnology
  3. Harrower JG
    Matched MeSH terms: China/ethnology
  4. Eapen K
    Malayan Medical Journal, 1936;11(2):117-20.
    Matched MeSH terms: China/ethnology
  5. Haridas G
    Malayan Medical Journal, 1936;11:112-4.
    Matched MeSH terms: China/ethnology
  6. Hughes W
    Matched MeSH terms: China/ethnology
  7. Lawrie ES
    Matched MeSH terms: China/ethnology
  8. Walkingshaw R
    Matched MeSH terms: China/ethnology
  9. English JS
    Matched MeSH terms: China/ethnology
  10. Ganeson D, Chattopadhyay PK, Sunderland E, Woolley V
    Ann Hum Biol, 1982 May-Jun;9(3):283-5.
    PMID: 7103408
    Matched MeSH terms: China/ethnology
  11. Holland B
    Hum Biol, 1989 Aug;61(4):591-8.
    PMID: 2591915
    A marked seasonality of births for the two main ethnic groups of peninsular Malaysia, far exceeding the cyclic fluctuations in births in the United States and Canada, was reported for the 1960s. A 36% excess of births over the average monthly number was observed among Malays each January. Among the ethnic Chinese in Malaysia a regular periodicity in the numbers of births was also found, but it was far less marked and the peak occurred in October or November. The peaks in both groups were due in large measure to conceptions that correlate with religious observances or holidays. Here I report on cyclic birth patterns in peninsular Malaysia for the period 1970-1985. Rapid economic development has occurred during this time and has brought with it demographic changes, such as a massive rise in contraceptive use and a decline in birth rates. These demographic changes have been accompanied by the loss of the pronounced seasonal pattern of births among the Malays. The seasonality of Malay births is now of roughly the same magnitude as the seasonality in the United States and Canada, whereas seasonality of births among the Chinese in Malaysia remains essentially unchanged.
    Matched MeSH terms: China/ethnology
  12. Zhang H, Gao J, Ma Z, Liu Y, Wang G, Liu Q, et al.
    Front Cell Infect Microbiol, 2022;12:1082809.
    PMID: 36530420 DOI: 10.3389/fcimb.2022.1082809
    BACKGROUND: Wolbachia is gram-negative and common intracellular bacteria, which is maternally inherited endosymbionts and could expand their propagation in host populations by means of various manipulations. Recent reports reveal the natural infection of Wolbachia in Aedes Aegypti in Malaysia, India, Philippines, Thailand and the United States. At present, none of Wolbachia natural infection in Ae. aegypti has been reported in China.

    METHODS: A total of 480 Ae. aegypti adult mosquitoes were collected from October and November 2018 based on the results of previous investigations and the distribution of Ae. aegypti in Yunnan. Each individual sample was processed and screened for the presence of Wolbachia by PCR with wsp primers. Phylogenetic trees for the wsp gene was constructed using the neighbour-joining method with 1,000 bootstrap replicates, and the p-distance distribution model of molecular evolution was applied.

    RESULTS: 24 individual adult mosquito samples and 10 sample sites were positive for Wolbachia infection. The Wolbachia infection rate (IR) of each population ranged from 0 - 41.7%. The infection rate of group A alone was 0%-10%, the infection rate of group B alone was 0%-7.7%, and the infection rate of co-infection with A and B was 0-33.3%.

    CONCLUSIONS: Wolbachia infection in wild Ae. aegypti in China is the first report based on PCR amplification of the Wolbachia wsp gene. The Wolbachia infection is 5%, and the wAlbA and wAlbB strains were found to be prevalent in the natural population of Ae. aegypti in Yunnan Province.

    Matched MeSH terms: China/epidemiology
  13. Fong FC, Smith DR
    Environ Res, 2022 Sep;212(Pt A):113099.
    PMID: 35305982 DOI: 10.1016/j.envres.2022.113099
    The exposure-lag response of air temperature on daily COVID-19 incidence is unclear and there have been concerns regarding the robustness of previous studies. Here we present an analysis of high spatial and temporal resolution using the distributed lag non-linear modelling (DLNM) framework. Utilising nearly two years' worth of data, we fit statistical models to twelve Italian cities to quantify the delayed effect of air temperature on daily COVID-19 incidence, accounting for several categories of potential confounders (meteorological, air quality and non-pharmaceutical interventions). Coefficients and covariance matrices for the temperature term were then synthesised using random effects meta-analysis to yield pooled estimates of the exposure-lag response with effects presented as the relative risk (RR) and cumulative RR (RRcum). The cumulative exposure response curve was non-linear, with peak risk at 15.1 °C and declining risk at progressively lower and higher temperatures. The lowest RRcum at 0.2 °C is 0.72 [0.56,0.91] times that of the highest risk. Due to this non-linearity, the shape of the lag response curve necessarily varied by temperature. This work suggests that on a given day, air temperature approximately 15 °C maximises the incidence of COVID-19, with the effects distributed in the subsequent ten days or more.
    Matched MeSH terms: China/epidemiology
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